Back then, I was the founding marketer at LearnWorlds, and one of my main resposibilities was SEO who became my main focus and growth channel over the next few years.

For the next year, we built what was going to be our biggest inbound channel that quadrable results over the Covid time (2020-2021).

I actually included it in a speech earlier this year as well, you can view the whole growth-marketing story at LearnWorlds here.

Now, as the Head of Demand at Cyberbit, SEO is again my responsibility, and I have hired Minuttia again to run the new playbook of SEO.

What Is Minuttia?

Minuttia, led by George Chasiotis, is a content marketing and SEO agency for B2B SaaS companies.  

Image Source: minuttia.com 

When LearnWorlds signed on in 2019, our engagement focused on services designed to close our organic visibility gap and fix the underlying issues affecting our content performance.

The core services offered included:

• SEO strategy: Keyword research and audience mapping tied to our buyer’s journey 
• Content strategy: A full audit of our existing content to decide what to update, merge, or remove 
• Content optimization: Refining underperforming pages instead of only producing new ones 
• Link building: Earning backlinks from domains with real authority and topical relevance 
• Technical SEO guidance: Walking our team through fixes for indexation issues 
• Content operations: Establishing briefing processes and training our writers on new methodologies

Minuttia has since expanded its services to include AEO, GEO, and AI SEO. This is the work I am hiring them now to help with, along with traditional SEO.

Why Did LearnWorlds Hire Minuttia?

When we hired Minuttia, LearnWorlds focused on four growth levers – Organic SEO, Paid Social & Google, Email marketing, and affiliates.

Organic from Google was our best channel, followed by paid, but our budget was limited there. So, Google organic traffic seemed like a good bet and better ROI to focus, especially because I built a strong content team.

SEO was doing well, but we were hitting some walls on growth and passed through a period of flat growth. We needed a fresh approach and a new bet to grow to the next level.

Challenges LearnWorlds was facing

Before we hired Minuttia, our content team was split in multiple projects, and we were losing focus. We needed someone who would own and lead our strategy, kept us honest, and add additional analysis which I didn’t have enough time to do:

• Content calendar was there but lacking SEO depth: We were publishing and following SEO best practices, but not really documented or fully procesized.
• A competitive gap: Our strategy was focused too much on top and middle of the funnel, and little bottom of the funnel. Honestly, I needed an extra argument to convince a resistant management that competitive listicles were important.
• No content operations: There was no established process for briefing writers. This meant that our content quality and consistency depended on impulse decisions over a process.
• Technical issues: My technical SEO was not my strong point, so a few technical SEO errors crept in the way.
• Reporting was lacking: Reports were not convincing on results, I needed help in developing the right reports and explain the wins to the management.

These issues needed a result-driven SEO and content marketing agency that could diagnose the whole system, not just produce more articles. 

How LearnWorlds evaluated agencies

We didn’t sign with the first agency that pitched us. We reviewed a few local and a few international agencies, and came upon the one that seemed more trustworthy.

Minuttia, and specifically George was chosen because the pricing made sense and we saw a strong culture fit”

• Attention to detail
• Good people we could trust
• Hard-working mindset, going above & beyond to deliver (since the selection process, yes)

Since working with them in multiple projects side-projects, and hired them in two companies, their communication, processes, and work has improved. Delivering high-quality work, going above & beyond, and being professional along the way.

Second impressions of the Minuttia team

Here, I want to intercept the LearnWorlds story, to talk about the second hiring here at Cyberbit. As our AI Search budget was approved recently and I had to review 3 agencies before going with our top choice (again).

How the second time felt in 2026 was very different than 2019.

• More professional process
• Better pitch-deck with in-depth details on the plan
• Better understanding of tech, and cybersecurity
• Incredible onboarding*

*The process of asking the right access, brand collateral, and company tone of voice – they know how to work for bigger corporations & enterprise who are demanding.

To avoid any conflicts of interest, I reviewed and compared three agencies with great reviews. I will not be naming those, as they are great SEO Agencies and they came very close to winning the bid, it would not be fair to underplay the competition.

The decision was approved both by the CMO & our Content Lead after multiple rounds of talks and project discussion.

What Did Minuttia Do for LearnWorlds?

Once we signed on, Minuttia offered six connected strategies: 

• Audience research
• Content audit and optimization
• Content strategy and planning
• Link building strategy
• Technical SEO guidance
• Content workflows and team training

Here’s how they actually played out:

Audience research

Minuttia didn’t start with content, but with the people who’d eventually read it.

The team researched LearnWorlds’ target audience and identified the specific sources and topics that influenced potential customers before they ever reached our site. 

From there, they conducted keyword research and mapped every search opportunity to a stage in the buyer funnel, so we knew whether a keyword mattered to someone just discovering online course platforms or someone ready to compare software.

Each keyword also got an Opportunity Score, which allowed the team to prioritize based on real potential. That research turned directly into a practical content calendar we could execute against.

This is a collaborative effort, as my side of the equation (as an in-house marketer) is to pass industry knowledge and company-specific details to support the agency.

Minuttia built up on it to develop a more in-depth version only a dedicated specialist with access to more data can do.

Content audit and optimization

With the research in place, Minuttia turned its attention to the content we’d already published.

They reviewed our entire content inventory and came back with a specific recommendation for every page: update it, consolidate it with overlapping content, or remove it because it no longer served a purpose. 

The audit also flagged user experience issues affecting how visitors engaged with our existing pages, and it prioritized the pages with the greatest growth potential first.

Minuttia gave me the clarity and plan needed to focus. They “owned” organic, so I could work with the ten other open projects we were running at the same time. A trusted partner I could spend a few hours a week and delivered results, almost on auto-pilot (of course you need to be deeply involved to succeed, don’t get me wrong, it’s a two-part collaboration, always).

Content strategy and planning

The audience research and content audit fed directly into how Minuttia chose new topics to prioritize.

Topic selection balanced search demand against actual business relevance, so we weren’t chasing volume for its own sake. 

The resulting strategy covered multiple stages of the buyer journey, from early awareness content to pages built for people actively comparing platforms. All of it rolled into the content calendar, which gave our team a systematic plan.

The most important part though is working with most of our capacity on the bottom-funnel capturing demand from the market.

Link building

Once content strategy was underway, Minuttia moved into link building.

The focus stayed on relevant, authoritative domains rather than volume for its own sake. Interestingly, those links directly supported the broader organic strategy by helping close the domain rating gap we had against competitors. 

Over the engagement, that work produced 77 new backlinks from sites with real authority in our space.

Of course, we had a mix of tactics on link-building.

• ABC link-building handled-inhouse
• Targeted outreach (high valued links from relevant sites)
• Linkable assets – attracting links passively

Honestly, the best tactic for long-term businesses is linkable assets, but that produces results in 2-3 years, with the highest ROI. If you are building a resilient business, build assets, studies, and own-data pages people will link to.

Technical SEO guidance

Minuttia also identified the indexation issues that were limiting how much of our site Google could crawl and rank.

Recommendations came with clear, step-by-step guidance rather than a black-box fix. In addition, Minuttia worked directly with our internal team so we understood what was wrong and how to resolve it ourselves.

Errors we had for a while and could not figure out how to solve started to resolve with the help of Minuttia’s briefs.

The most difficult part was pitching it and adding it on our developers’ queue… but that’s another story!

Content workflows and team training

Minuttia helped us build a real content-briefing process where none had existed before, which created more consistent workflows across the whole team. 

They trained our internal content team directly and shared the methodologies behind their own work.

We saw a significant quality difference, and many lessons and SOPs stayed for years with us, only partially updated.

What Was It Like to Work with Minuttia?

Here’s what the actual working relationship looked like from our side:

Communication and responsiveness

Not sure if it’s the standard nowadays, but the best agencies I have worked with come with great communication practices.

A slack channel for updates / communications.

Email for the most important things.

Responsive team, and fast coordination.

There are always hiccups of course, the idea is to have an adaptive team who can take over and quickly return.

Professional, communicative, and strong project management is essential.

Expertise

Strategy only holds up if the people behind it actually understand the business they’re working on.

I take this as my responsibility. Minuttia knew SaaS, but EdTech was new to them, as is Cybersecurity now.

It took a short time ~3 months for them to get a strong hang of the industry and nuances.

Compared to my next “premium” agency, where their analysts after 1.5 years never got the nuances or my feedback…

Now, having worked and discussed multiple projects, I have to admit their expertise especially in tech companies, SaaS, and enterprise is much improved.

Back then, Minuttia was perfect for a SaaS startup.

Now, Minuttia is perfect for an enterprise company.

Transparency

Minuttia does not mince its words.

They are honest around expectations and what can be realistically achieved. I prefer an honest outlook, over over-promisers.

That realistic expectations paired with regular, honest reporting helped prove the results to management.

What Did LearnWorlds Get from the Cooperation with Minuttia?

Nine months into the engagement, the results showed up in numbers we could report directly to leadership.

Organic traffic grew by 123.7% month over month, driven by a combination of new content built off the audience research and updates to pages that had been losing ground before the audit.

Image Source: Ahrefs

I have said it many times. One of the reasons LearnWorlds grew fast around 2020, was because we had delivered 80% of the organic content plan we planned with Minuttia before it hit.

We covered most important commercial queries.

When e-learning surged in Covid, we were there, well-positioned to capture the traffic.

We were ready, at the right time.

Of course, many more things happened – the team was growing, the budget was growing, engineering delivered some important items. It was a team effort, but SEO captured the traffic.

The number of keywords we ranked for increased by 51.7%, spread across new and updated content in high positions in our target market. Updates were always a big part of LearnWorlds’ content strategy, as keeping up high with our top content has always been important.

Image Source: Ahrefs

The link building work added 77 new backlinks from authoritative, relevant domains, which helped close the domain rating gap that had been holding our content back from ranking as well as it should have. 

Image Source: Ahrefs

The traffic and keyword numbers show the big numbers, the reality was however the operational changes which impacted the long-term.

Our content briefs became more detailed and consistent, and production followed an actual process instead of ad hoc decisions made week to week. 

Writers produced first drafts faster, our internal team’s SEO knowledge grew, and we had a clearer system for prioritizing which content to tackle next.

Those changes outlasted the engagement itself. The traffic numbers reflect nine months of work. The processes and internal capability are still paying off today.

What Does Minuttia Offer Now? 

The agency I worked with in 2019 and 2020 focused almost entirely on traditional SEO, i.e., keyword research, content strategy, link building, and technical fixes aimed at ranking well in Google.

Minuttia’s services today cover more ground. Alongside Google search strategy, the agency now works on dominating AI search platforms like ChatGPT and Perplexity, human and AI-assisted content creation, digital PR, and even Reddit marketing as a way to influence how brands get mentioned in AI-generated answers. 

There’s also a reporting tool built specifically to track how AI systems discover and cite a company’s content, something that didn’t exist as a category when LearnWorlds signed on.

The core positioning hasn’t changed. What Minuttia does with it has expanded to match how people actually search now.

Why We Ended the Partnership

2020 was an incredibly busy year, and we were behind in our content plan.

For what we did, we had a queue for a whole year to cover in deliverables to be done from our internal team.

We paused Minuttia until we covered some ground.

Then, our Series A took place, and the VC dictated their own agency – which I was not happy with… but the money talks.

Starting the New Project

For 1.5 years I went freelancing, where we collaborated with Minuttia on a few side-projects.

And, now in my new company one of the most important agency “hires” is Minuttia, which we were budgeting since last year. Internal changes delayed the project, as we focused on migrations & fixing other channels.

Now, we are betting on SEO & AI Search to be the next ROI-positive channel.

Final Verdict

Last time, ROI from SEO was 10x-20x (depending on month & spend, it was quite variable). SEO was an easier channel, and we were well-positioned for it.

A few lucky moments helped with capturing traffic.

Minuttia delivered on what LearnWorlds needed most, and that’s a real strategy behind our content.

Over nine months, that translated into 123.7% growth in organic traffic, a 51.7% increase in ranking keywords, and 77 new backlinks from authoritative sites.

Just as important, our internal team came out of the engagement more capable, with processes and skills that outlasted the contract itself.

This isn’t a hands-off arrangement, and it isn’t the cheapest option available. But if you want an SEO and AEO agency that treats your business like theirs, Minuttia is worth a conversation.

I am paying a trusted partner.

I know my investment will have ROI.

And, I know their values align with my team’s values.

It is not.

You copy a pattern, paste it into one filter, and GSC does work that used to mean exporting to Sheets.

You do not need to be technical. If a pattern needs tweaking, describe what you want to any current AI model and ask it for RE2 syntax that works in GSC.

Any model does this well now, so there is no need to pay for a specific one.

How to Use This Guide

There are two ways to use what follows.

1. Copy a pattern straight into GSC.
2. Or take one as a starting point and swap the words inside it.

Every pattern goes into the Performance report.

Open the report, add a filter, choose Query or Page.

Then pick the Custom (regex) option. Set it to Matches regex to keep what fits the pattern, or Doesn’t match regex to exclude it.

How Regex Actually Behaves in GSC

*Skip this section if you just want to copy-paste some Regex.

GSC runs on RE2, Google’s own regex engine. It behaves differently from the regex you copy off Stack Overflow. Five rules cover most of the pain.

• Query data is lowercase. Capitals in a query pattern match nothing. Prefix with (?i) out of habit and stop thinking about case.
• Matching is partial by default. Your pattern matches anywhere in the string unless you anchor it with ^ for the start or $ for the end. You rarely need .* wrappers.
• Use word boundaries. Without \b, the pattern can matches “scan”, “candle”, and “cancer”. Adding \b fixes it.
• No lookaheads, lookbehinds, or backreferences. RE2 does not support (?=...), (?<=...), or \1. Patterns that use them fail, usually with no error and no data. For “not this”, use the “Doesn’t match regex” option instead of a negative lookahead.
• An empty report usually means a broken pattern, not no data. Test in Regex101 with the flavor set to Golang, which uses RE2.

Brand vs Non-Brand

This is my favorite regex, and the one I reach for first. It splits your queries into branded and non-branded, so you can see brand lift from a launch or a seasonal dip without guessing.

Build one pattern that holds your brand, its spelling variants, and its common misspellings.

(?i)(yourbrand|your brand|yourbrnad|common misspelling)

Replace the placeholders with your actual terms. For a brand like Microsoft it might look like this:

(?i)(microsoft|micrsoft|mircosoft|microsft|msft)

The fastest way to build a complete version:

• Filter your queries to your homepage.
• Export the queries and sort by clicks.
• Pull out the branded terms and misspellings.
• Paste them into an AI model and ask for a GSC-ready RE2 pattern.

Then use it two ways.

Branded Queries: Set the filter to Matches regex to see branded demand.

Non-Branded Queries: Change to Doesn’t match regex to see everything else, which is your non-brand universe.

GSC Built-in Brand vs Non-Brand

Since last year, Google Search Console includes a Branded and Non-Branded queries functionality, but I have found it to be lacking sometimes.

Use regex when you want to include or exclude specific variations of branded terms.

Long-tail Questions for AI Search

Question queries are the most common query fan-outs for AI search. These are the queries where a direct, well-structured answer wins the citation.

(?i)^(who|what|where|when|why|how|which|can|do|does|is|are|will|should)\b

Short questions are hard to rank for. Narrow to the long-tail versions, eight words or more, where the intent is clearer and the competition thinner:

(?i)^(who|what|where|when|why|how|which|can|do|does|is|are)\b(\W+\w+){7,}

*Change the number at {7,} for questions with more or less words. For example, conversational strings that show how AI-era search behaves, ten words or more:

^(\w+\s){9,}\w+$

Change the 9 to test other lengths. Push it much higher to isolate the unusually long, structured queries that can point to AI-assisted or machine-generated searches:

^(\w+\s){31,}\w+$

\w skips apostrophes, so contractions nudge the word count. Treat it as a cue to investigate.

Short-Tail and Long-Tail Queries

Word count is a fast proxy for intent and difficulty. Short queries are broad and competitive. Long queries are specific and easier to win.

Short-tail, one to four words:

^(\w+\s){0,3}\w+$

Long-tail, eight words or more:

^(\w+\s){7,}\w+$

Change the numbers to move the threshold wherever you want to test.

Intent Filters

Group your queries by what the searcher wants to do. Each of these goes in the Query filter. Together they turn a flat query list into a funnel.

Commercial and comparison (people weighing options):

(?i)\b(best|top|alternative|alternatives|vs|versus|compare|comparison|review|reviews|cheapest)\b

You can see my commercial intent queries using the same regex in the example above.

Local intent (people looking nearby):

(?i)\b(near me|nearby|near by|closest|close to me|in my area|open now)\b

Price and buying intent (people close to a decision):

(?i)\b(price|pricing|cost|how much|cheap|cheapest|discount|coupon|promo|deal|free trial|buy|for sale)\b

Content format (the shape of answer they want):

(?i)\b(template|checklist|cheat ?sheet|pdf|download|spreadsheet|calculator|generator|tool|example|guide|tutorial)\b

Year and freshness (people who want current information, and your cue to refresh a page):

\b20\d{2}\b

Countries and Languages (International SEO)

If you run a large multi-regional site, you have several solutions of monitoring Search results. You may need to have separate GSCs per region / language (using subdomains or foldering).

But, if you have a single Google Search Console for an international site, Regex can save you while looking for specific countries.

Regex runs on the Query and Page filters only, never on the Country dimension. For where the searcher is located, use the built-in Country filter.

To use Regex, you will need to look at the URL – subdomains or foldering sections. An example targeting German visitors:

de.mysite.com

or

mysite.com/de

Per-market performance by URL section

If your site folders by country or language, a Page regex isolates each market. Page matching is case-sensitive, and dots need escaping.

Subfolders on one domain:

^https://yourdomain\.com/(es|fr|de|it|pt|nl|pl)/

Any locale folder, wherever it sits in the path:

/(es|fr|de|it|pt|pt-br|en-gb|en-us)/

Locale subdomains:

^https://(es|fr|de|it)\.yourdomain\.com

Use ISO alpha-2 codes to match your own structure. To compare one market against everything else, run the same pattern with Doesn’t match regex.

Ready-made geo groupings

Three groupings people reach for most, each as one Page filter. Codes are ISO alpha-2. Fold by country and these pull the whole region in a single view.

Europe (the EU plus the UK, Switzerland, and Norway):

/(at|be|bg|hr|cy|cz|dk|ee|fi|fr|de|gr|hu|ie|it|lv|lt|lu|mt|nl|pl|pt|ro|sk|si|es|se|gb|uk|ch|no)/

Tier 1 (the wealthiest, highest-CPC markets, straight from the Tier 1 countries list):

/(au|at|be|ca|dk|fi|fr|de|ie|it|lu|nl|nz|no|es|se|ch|gb|uk|us)/

APAC (major Asia-Pacific markets):

/(au|nz|jp|cn|hk|tw|kr|sg|my|id|th|ph|vn|in|pk|bd|lk)/

Anchor any of them to your domain, and for language-region folders like /en-us/ or /de-ch/, match the region on the end:

^https://yourdomain\.com/(au|at|be|ca|dk|fi|fr|de|ie|it|lu|nl|nz|no|es|se|ch|gb|uk|us)/
/[a-z]{2}-(au|at|be|ca|dk|fi|fr|de|ie|it|lu|nl|nz|no|es|se|ch|gb|uk|us)/

Three notes before you paste:

• gb is the ISO code for the United Kingdom, but many sites use /uk/, so both are in the patterns.
• Bare two-letter codes are greedy. /it/ catches Italy and an IT section, /in/ catches India and an “in” folder, /id/ catches Indonesia and an id folder. Test against your real URLs first.
• Want Tier 2 and Tier 3 as their own filters? Build them the same way off the full country tier list.

Geo-modified query intent

Different job. These catch searches where someone types a place into the box, like “crm software germany” or “melhor crm brasil”. Set the filter to Query and use (?i) because query data arrives lowercase. Include native spellings and unaccented variants, because people type both “españa” and “espana”. You can rebuild any of the three page groupings above as a query filter by swapping the ISO codes for country names.

North America:

(?i)\b(usa|u\.s\.a|united states|america|canada|mexico|méxico)\b

South America:

(?i)\b(brazil|brasil|argentina|colombia|chile|peru|perú|venezuela|ecuador|bolivia|paraguay|uruguay|guyana|suriname)\b

Spanish-speaking countries:

(?i)\b(espana|españa|mexico|méxico|argentina|colombia|chile|peru|perú|venezuela|ecuador|guatemala|cuba|bolivia|dominicana|honduras|paraguay|salvador|nicaragua|costa rica|panama|panamá|uruguay)\b

Portuguese-speaking countries:

(?i)\b(brasil|brazil|portugal|angola|mocambique|moçambique|cabo verde|guine|guiné)\b

One caveat, and it matters. Most local searches do not contain the country name. Someone in Spain searches “zapatos”, not “zapatos españa”. So this catches explicit geo-modified demand only, a slice, not the whole market. For true market performance, use the Country dropdown or the Page patterns above.

Product IDs and SKUs

For ecommerce, regex lets you track a series of products even when they sit across many URLs. Say your IDs look like A123, PR097, or ABC234. This pattern finds them:

^(A\d{3}|PR\d{3}|ABC\s?\d{3})$

Use it in the Page filter. Change the letter prefixes and digit counts to match your own SKU structure. The same idea groups any related set of pages: colors, clothing types, or content categories like guides and templates.

Misspellings

Misspellings work like the brand pattern, but for non-branded terms. Collect the variants you see in your query report, or ask an AI model for the common misspellings of a target word, then wrap them in one pattern.

(?i)(definately|definitely|seperate|separate|recieve|receive)

Swap in your own set. This surfaces demand you are quietly ranking for and shows where a corrected on-page mention could pick up easy impressions.

Make Some SEO Magic

These are a fraction of what regex can do inside Search Console. The point is not the patterns themselves. It is that a couple of minutes of setup replaces a routine you have been doing in Sheets. Branded versus non-branded, question demand, buying intent, and market-by-market performance are all one filter away.

A few of the patterns I used while updating the article were inspired by Amy Lynch‘s carousel, Head of SEO at Gravytrain.

We researched and analyzed the agencies claiming this space. We looked at what their capabilities actually entail, what services they’re built around, and whether their pitch holds up under scrutiny. 

What follows is an editorially independent evaluation of eight agencies worth considering, alongside a practical framework for deciding which model fits your situation.

Here’s a table to orient you before diving into the full profiles:

Disclaimer: The information on these agencies is valid as of May 2026. Agency offerings, pricing, and focus areas change; verify current details directly with each vendor before making a decision.

Now, let’s review each agency in detail.

1. Minuttia

Minuttia is a B2B SaaS-focused agency that combines Google and AI search strategy with human and AI content creation, digital PR, and agent analytics. 

Since its founding in 2020, the agency has shifted its positioning from traditional content and SEO to what it now calls an ‘adaptive content marketing’ approach, integrating AI tools into research and production workflows while keeping subject-matter expert involvement in content to ensure high quality.

Source: minuttia.com

What distinguishes Minuttia’s model from pure AI content agencies is the layering. 

AI handles repetitive research tasks, internal linking opportunities, content briefing, and other assisted workflows, but human experts drive the strategic decisions and review outputs for accuracy and depth. 

For companies selling complex B2B products, where E-E-A-T plays a defining role, and generic AI output can actively harm rankings, such an approach truly matters. 

Let’s see how it all translates into services.

Services

• Google & AI Search Strategy
• Human Content Creation
• AI Content Creation
• Digital PR
• Agent Analytics and Reporting

Who is Minuttia for?

Minuttia works best for B2B SaaS and technology companies that need organic growth tied to revenue outcomes, not traffic volume. 

It’s a strong fit for companies with complex products or long sales cycles, where shallow AI content would create more problems than it solves.

Minimum project size: $4,000/month (per Clutch and third-party review sources). Contact for a custom scope at minuttia.com/lets-talk.

2. NoGood

NoGood is a New York-based growth agency working with VC-backed startups, scale-ups, and category-defining brands.

The agency was founded in 2017 as a remote micro-team and has progressively moved upmarket. Its current positioning centers on AI-powered growth across SEO, AEO, paid media, content, and analytics.

Source: nogood.io

NoGood’s AI integration is most visible in its analytics and creative testing layers, where the agency uses LLMs and proprietary models for audience analysis, creative iteration, and channel-mix decisions. 

These tech capabilities define the scope of services this agency offers.

Services

• AEO and SEO
• Paid search and paid social
• Content marketing
• Performance branding and lifecycle marketing
• Marketing analytics

Who is NoGood for?

NoGood works best for post–Series A startups and established brands that want measurable, multi-channel growth and have the internal operations to absorb it. It’s less suited for companies looking for a specialist content shop or a low-budget engagement.

Minimum project size: Undisclosed on Clutch. Third-party directories cite a directional minimum of $50,000+ for full retainers, consistent with the agency’s positioning toward VC-backed scale-ups and Fortune 500 brands.

3. Embarque

Embarque is a content-led SEO agency positioning itself around SaaS and tech companies. 

The agency has been vocal about integrating AI into its production workflow, specifically for content brief generation, topic clustering, and initial draft creation with human editing applied at the review stage.

Source: embarque.io

Embarque has published documentation on its AI-assisted content process, which gives it above-average transparency compared to agencies that invoke AI vaguely in their positioning. 

For companies evaluating agencies on process visibility, this matters.

Services

• SEO strategy and content planning
• AI-assisted content creation
• Link building
• Technical SEO audits

Who is Embarque for?

Startups and mid-market SaaS companies looking for a cost-effective entry point into SEO with transparent AI workflows. A reasonable choice for companies that want AI efficiency without sacrificing editorial oversight.

Minimum project size: From $1,499/month (per agency website). Enterprise plans with full-funnel analytics start at $5,999/month. Clutch reviewers highlight competitive pricing relative to comparable agencies.

4. Powered by Search

Powered by Search is a B2B SaaS-focused agency that combines SEO, paid media, demand generation strategy, and RevOps under one roof.

Founded in 2009 in Toronto, the agency has built its reputation around connecting search to pipeline rather than just rankings. 

Its positioning is explicit. It works only with B2B software and technology companies and organizes services around demand generation outcomes rather than channel-level deliverables.

Source: poweredbysearch.com

What separates Powered by Search from a pure SEO retainer is the integration. 

The agency’s frameworks, including its Authority Architecture for SaaS websites and its 80/20 demand generation playbook, assume that organic search, paid acquisition, content, and CRM/RevOps hygiene need to operate as one system. 

For B2B SaaS teams running multi-stakeholder buying committees and six- to 12-month sales cycles, that integration does more for pipeline than channel optimization in isolation.

Services

• SEO strategy and implementation
• Paid media (Google Ads, LinkedIn Ads, Meta)
• Demand generation strategy
• Conversion rate optimization
• RevOps and HubSpot consulting
• Digital PR and content promotion

Who is Powered by Search for?

B2B SaaS and technology companies, particularly those past initial product-market fit with established sales motions, need search and paid search working together inside a demand generation system. Less suited for pre-PMF startups or companies seeking pure content production.

Minimum project size: Per the Powered by Search pricing page, retainers start at $5,000/month for SaaS startups. Pilot engagements include a $2,500 Power Hour and a $14,900 pipeline audit, with the audit fee credited toward a retainer if upgraded within 30 days.

5. iPullRank

iPullRank is a technical SEO and content agency with a well-established reputation in the SEO community. 

The agency’s founder, Mike King, has been one of the more rigorous public voices on AI in search, publishing research on how large language models interact with web content and what that means for SEO strategy.

Source: ipullrank.com

What sets iPullRank apart from agencies wearing AI as a marketing label is the depth of understanding as to how AI operates. 

The agency has published technical research on LLM crawling behavior, content representation in AI training data, and structured data for AI discoverability, areas that most agencies treat superficially. 

Deep technical knowledge undoubtedly informs the services iPullRank offers. 

Services

• Technical SEO
• Content strategy and production
• AI and LLM search optimization
• SEO consulting and training

Who is iPullRank for?

Companies with technically complex sites, large content libraries, or serious ambitions around AI search visibility. Particularly well-suited to enterprise organizations where SEO requires both technical rigor and a sophisticated understanding of how AI systems process content.

Minimum project size: $50,000+ per Clutch. This enterprise-tier pricing reflects iPullRank’s focus on complex, large-scale engagements; it’s a ceiling, not a floor, for organizations outside enterprise scale.

6. Notebook Agency

Notebook Agency is a Toronto-based SEO, AEO, and GEO consultancy founded by Steve Toth.

The agency started as a solo SEO consulting firm in 2019 and has progressively reoriented its offering around AI search. 

Toth has become one of the more publicly visible operators in the AEO space, publishing through SEO Notebook and AI Notebook (combined ~27,000 subscribers) and teaching cohorts on AEO at platforms like CXL.

Source: notebook.agency

What separates Notebook from most ‘we do AEO too’ agencies is the depth of public artifacts, newsletters, frameworks, and a documented Trust Alignment methodology designed to position brands as the recommended option in late-stage LLM prompts, not just visible somewhere in the answer.

For B2B SaaS companies where the buying decision is increasingly happening inside ChatGPT or Perplexity before any website visit, that distinction matters. 

Services

• AI search optimization (AEO and GEO)
• SEO-driven growth consulting
• Content strategy and production
• Technical SEO
• LLM monitoring and brand truth alignment

Who is Notebook Agency for?

Best for established B2B SaaS and tech brands where decision-stage buyer prompts in LLMs already influence the pipeline. Less suited for very early-stage companies that haven’t yet established a content foundation.

Minimum project size: Pricing is not publicly disclosed on Clutch or the agency’s website. Based on the agency’s public positioning toward seven- and eight-figure B2B brands, retainers sit in the higher tier. Contact directly for a scoped estimate.

7. Avenue Z

Avenue Z is a communications and digital marketing agency that has made AI-native marketing, including AI SEO and GEO, central to its recent positioning. 

The agency expanded through a series of acquisitions in 2024–25, integrating PR, brand governance, and search under a unified offering.

Source: avenuez.com

Avenue Z’s value proposition is cross-channel: combining earned media (PR), owned content, and AI search optimization into a brand visibility program. 

For companies where PR and SEO need to work together to build the kind of third-party authority that AI systems draw from, this integrated approach has genuine merit. 

Services

• Strategic communications and PR
• AI SEO and GEO
• Content and creative services
• Paid media
• Influencer and emerging media

Who is Avenue Z for?

Mid-market to enterprise brands that need PR and search working together to build authority in AI-influenced search engines. Better suited for companies with brand visibility goals that span earned, owned, and AI channels.

Minimum project size: $10,000+ per Clutch. Average hourly rate $150–$199. Specific project costs referenced on Clutch include $50,000 for media buying engagements and $15,000 for website work; total investment scales for integrated PR + AI retainers.

8. Flow Agency

Flow Agency (formerly Flow SEO) is a boutique B2B agency working with SaaS companies, consultancies, and professional services firms.

Founder Viola Eva originally built it as a solo SEO consultancy. Since 2024, the agency has rebranded, expanded its team to ~12, and developed productized B2B offerings around AEO, GEO, and integrated search.

Source: flow-agency.com

Flow’s positioning sits between specialist and generalist. The agency offers traditional SEO, paid media, and link building, but it has explicitly built productized AEO and GEO services that B2B teams can buy as packaged engagements rather than custom retainers. 

Services

• Traditional SEO
• AEO, GEO, and LLM optimization
• Paid media and performance marketing
• Link building and digital PR
• Integrated search strategy

Who is Flow Agency for?

B2B SaaS, consultancies, and professional services firms that want a tailored team and productized AEO/GEO programs without enterprise-tier pricing. Less suited for very large enterprises with deep technical SEO requirements.

Minimum project size: Pricing is not publicly disclosed on Clutch or the agency website. The clearest public pricing signal is a $1,400/retainer minimum for backlink-focused engagements; broader AEO and integrated programs are custom. Contact directly for a scoped estimate.

How to Choose an AI SEO Agency

The questions below are worth asking before shortlisting.

What does ‘AI’ actually mean in their workflow?

Ask agencies to walk you through a specific workflow, say, how they approach a content brief or a technical audit, and identify where AI is involved and what it’s doing. Legitimate AI workflows produce faster research, better topic clustering, or more consistent brief quality.

Do they understand E-E-A-T?

Content rewarded in search engines needs to demonstrate firsthand expertise, credibility, and trustworthiness. Agencies that treat AI content as a volume play without subject-matter expert involvement are operating against this grain. Ask how they handle E-E-A-T in AI-assisted content specifically.

How do they define and measure AI search visibility?

GEO (generative engine optimization) is a real and growing discipline, but measurement standards are not yet mature. Agencies claiming guaranteed AI Overview placements or LLM citation rates should be pressed on methodology. At Minuttia, we track visibility trends and citation appearances across platforms, and we’re iterating as measurement improves.

Is their specialization a genuine fit for your context?

A technical SEO specialist is not the right choice for a company with a thin content library and no indexability problems. A content production agency isn’t the right choice for a company with a major crawl issue. Match the agency’s core strength to your primary constraint.

What do results look like for comparable clients?

Ask for case studies from companies at a similar growth stage, in a similar vertical, with a comparable site profile. Directional traffic increases from consumer brands don’t tell you much if you’re a B2B SaaS company with a long sales cycle.

A structured approach to AI search, one that maps your current visibility across Google and AI answer engines, identifies where competitors are being cited instead of you, and prioritizes the content and authority gaps most worth closing, is more valuable than any single agency relationship. 

One way to get that structure in place before engaging an agency is through a Google and AI Search Strategy engagement, which identifies the topics, prompts, and citation sources shaping your brand’s discoverability.

Wrapping up

Evaluating AI SEO agencies is harder than it should be, primarily because the category label does real work, obscuring what agencies actually do. 

The useful filter is to identify your primary constraint, whether that’s technical indexability, content volume, conversion rate, authority-building, or AI search visibility, and look for the agency whose core strength addresses it.

If you’re a B2B SaaS or technology company evaluating SEO options and want to understand where your current visibility stands across Google and AI search channels before committing to an agency, schedule an intro call with Minuttia’s team.

Frequently Asked Questions (FAQs)

Q1. What are the best AI SEO agencies for SaaS startups?

For early-stage SaaS companies with limited budgets, Embarque offers AI-assisted content production with reasonable entry pricing (from $1,499/month) and process transparency. Flow Agency suits startups that want productized AEO/GEO programs without enterprise pricing. Minuttia is better suited to SaaS companies past early traction that need organic growth tied directly to the pipeline.

Q2. What are the best AI SEO agencies for midsize and enterprise-level SaaS companies?

Midsize and enterprise SaaS companies generally need a combination of technical depth and strategic content capability. iPullRank handles technical complexity at enterprise scale. Powered by Search is strong for B2B SaaS brands wanting demand gen, SEO, and RevOps integrated. Avenue Z suits companies where PR and AI search need to integrate. Minuttia fits complex B2B SaaS companies prioritizing Google and AI search strategy with human-reviewed content.

Q3. What is an AI SEO agency?

An AI SEO agency integrates artificial intelligence tools and workflows into SEO services, covering strategy, content production, and technical optimization. The depth of AI integration varies significantly.

Q4. Who should hire an AI SEO agency?

B2B SaaS and technology companies with complex products, long sales cycles, or content libraries that need to scale without sacrificing accuracy are the most natural candidates. Companies where generic AI content would create compliance or credibility risks should specifically look for agencies with human expert involvement in content creation.

Q5. What services does an AI SEO agency provide?

Services vary by agency, but common offerings include keyword research and topic clustering, AI-assisted content brief generation, technical SEO audits, content production using AI tools with human editorial oversight, generative engine optimization (GEO) for AI search visibility, digital PR for citation building, and analytics and reporting using AI for citation tracking and competitive monitoring.

Q6. What should I look for in an AI SEO agency?

Evaluate agencies on: specificity of AI integration (ask for workflow examples, not just claims), E-E-A-T compliance approach for AI-assisted content, AEO measurement methodology, specialization fit with your industry and growth stage, evidence of results from comparable clients, and pricing transparency. Avoid agencies that invoke AI broadly without explaining what it does in practice.

Q7. How long does it take to see results from working with an AI SEO agency?

Realistic timelines depend heavily on starting conditions, domain authority, existing content library, technical health, and competitive density. Most agencies quote three to six months for initial movement and six to 12 months for meaningful pipeline impact. Technical SEO fixes can show indexation improvements in four to eight weeks. AI Overview and LLM citation visibility are harder to predict.

This was not a marketing call. I booked time on his calendar to evaluate Slate as a potential buyer.

The conversation that follows is what a senior practitioner sounds like trying to figure out whether a piece of software

• actually solves a real problem at scale,
• what it costs, and
• who it’s actually built for (ok, this is more professional curiosity).

Watch the full video.

About Shiyam & Slate

Shiyam runs TripleDart, a growth marketing agency for B2B SaaS, and built Slate (slatehq.com) on the back of the content automation problems his agency was already solving for clients.

The product solves problems content teams actually have, first for the team at TripleDart.

It is an automation tool with pre-built workflows on content automation, updates, and content management at scale, with a human-in-the-middle approach to AI.

In this episode, you will hear us discuss:

• What Slate actually is (and what it isn’t)
• The live demo
• The differentiator from tools like N8N and Make
• The credit pricing model, what $500 actually buys, and how Slate set its prices
• Who Slate is built for (Spoiler: 1,000-page minimum sites)

What Slate Actually Is (and What It Isn’t)

The first thing Shiyam wanted to clarify on the call was the positioning, because it gets confused often. Slate is not an AI search tool.

It is not Profound, Peec, or Athena.

It is a content automation platform built around composable AI actions, what Shiyam calls “nodes.”

You build agents.

The agents run sequences of nodes.

• The nodes generate images,
• pull keyword data from Ahrefs and Semrush,
• take screenshots of brand pages,
• write articles,
• do internal linking,
• do external linking, and
• publish to your CMS.

It’s like Clay, but for SEO and content workflows. You build a workflow once, then call that workflow as a single block inside another, bigger workflow.

The Live Demo: From Brief to Published Article

Shiyam walked through a real workflow built for Guideflow, a European SaaS company. The chain runs like this:

• Take an input brief
• Generate a hero image with GPT-image
• Run a fact-checker node to find fresh statistics on the topic
• Extract brand URLs from the brief
• Take screenshots of those brand homepages
• Map screenshots to brand mentions inside the article
• Write the full article
• Convert to clean HTML, flatten to a single file, generate a slug
• Publish directly to Webflow under a new section of the blog

The end output is a published article with original images, embedded screenshots of competitor products and internal links.

How is this different from N8N or Make.

First, the blocks themselves.

Slate has SEO-native nodes that don’t exist in N8N like Ahrefs, Semrush, citation formatting, web search with AI overviews, schema generation, internal linking, external linking, content humanizer, Reddit scraper, G2 reviews scraper.

The general-purpose tools can technically do this, but you’re building it from scratch. Slate already has the functionality built-in.

Second, every block is structured to take a prompt for both the AI agent and the end user. Slate’s blocks have a dual prompt by design with instructions for the system, and instructions for the human reviewer.

That distinction matters more than it sounds. I tend to prefer workflows with the human-in-the-middle-loop.

Bulk Content Refresh and Internal Analysis

The use case that turns Slate from “interesting” into “I would actually buy this” is bulk content refresh.

If you have 10,000 pages and traffic is declining on 800 of them, the manual job is unbearable. Slate’s content refresh agent ingests an existing article, runs the analysis, and produces a refreshed version with modifications highlighted.

1. Yellow for sections it changed.
2. Green for sections it added.
3. You review, approve, and publish.

Razorpay, an Indian fintech directly competing with Stripe, has roughly 10,000 pieces of content and uses Slate to refresh 25 to 30 per week.

Atlas, a global payroll company, uses it to monitor every country’s official visa site and update their content every time visa rules change.

SentinelOne uses it to maintain a daily-updated repository of new cyber attacks.

Agentic Workflow Building

The internal analysis side is where Slate gets ambitious. Shiyam asked the platform a single question on the call: “Where am I losing to competitors on listicles in the last 30 days?”

The system pulled brand-level SEO metrics, gathered competitor listicle pages, ran a diagnosis on why specific pages were underperforming, and recommended refresh-or-rebuild for each one. Then he asked it to fix the problem. It built the refresh workflow on its own.

Pricing, Credits, and Who Slate Is Built For

This is where I pushed hardest, because Slate’s pricing isn’t on their site in a useful way and I wanted the practitioner answer.

Slate uses a credit model.

Pricing

Workflows and agents (the main product)

• Solo: $500 for 50,000 credits → roughly 30 to 40 content creation or refresh tasks, including image generation
• Pro: $1,000 for 100,000 credits → more credits, more users, plus access to Sanity, Contentful, and additional CMSs (Solo only covers WordPress and Webflow)
• Scaling up from there: $2,000 for 200,000 credits, $3,000 for 300,000

Prompt tracking (separate product, for AI search visibility monitoring)

• 100 prompts × 4 platforms × 4 weeks = roughly $199 to $299

I asked Shiyam how they set the price. The answer was unusually direct.

“Purely on our margins.”

Slate isn’t priced based on competitor benchmarks or willingness-to-pay testing. It’s priced as cost-plus on the underlying API and data fetching costs.

Not a Self-Service SaaS

There is no self-service.

I tried to use Slate before the call.

It does not work without setup.

The white-glove model is built-in to the system.

The company sets up your workspace, configures your CMS connections, and helps you build your first agents.

The Target Market: Enterprise

The target customer is mid-market or enterprise, with a minimum of 1,000 pages on their site.

Average ticket size: $10,000 to $25,000 a year. He has roughly 78 independent customers plus 20 from TripleDart’s agency book.

If you have 200 blog posts and traffic is fine, this is not for you. If you have 5,000 product pages and a content refresh problem nobody on the team has time to solve, this is exactly for you.

Takeaways

Three things stayed with me from this conversation.

Slate solves a real problem for the agency.

Pre-built AI workflows to create and refresh content at scale.

This is for big websites.

This is enterprise SEO automation, sold to teams that already have a content engine, and thousands of pages.

The pricing methodology is going to change.

Cost-plus margin is a good way to start, but I expect the pricing to change as it moves forward. Already, the credit limits have been expanded.

The challenge? Identifying the most optimal ways to use them to increase content creation speed without sacrificing quality.

Hence the article. In the next 10 minutes, I will show you examples of AI workflows I’ve built to automate different content creation stages, from research through editing and beyond. 

I will also share a few best practices to help you get the most out of your workflows.

How to automate content creation with AI workflows

You can use AI workflows at every content creation step. Research, briefing, drafting, editing, repurposing, you name it. 

In the next few sections, I will show you how to do it.

Mind you, though, ‘can’ doesn’t mean ‘should.’ I believe some steps are best left to humans, while others need close human supervision. I will explain why. 

A quick note: I will use examples of workflows I’ve built in AirOps because that’s what I’ve been using recently. But you can easily replicate them in other tools, like Claude Code,  Hunch, or n8n. 

And in case you’re wondering, I’m not affiliated with AirOps in any way.

1. How to automate research with AI workflows

When I research content for my freelance clients, I use dozens of sources. 

Searching all of them one by one — even with AI tools like Consensus — takes forever. So research was the first thing I’ve automated with a sequence of workflows, one for each source type I might use.

Here’s an example of one for SERP analysis, with a quick overview of how it works:

1. It runs a Google search for the target keyword and extracts all URLs. 

2. It scrapes all the pages and combines their content.

3. It summarizes all the articles and extracts all the unique questions they answer, implicitly and explicitly. And analyzes it for patterns, angles, and gaps.

The workflow is chained to a similar one for Reddit and produces a detailed analysis report and a basic article outline, which you can pass to your content writer. 

Or enrich the outline with insights from Deep Research, YouTube, Google Scholar, newsletters saved in Notion, case studies, and industry reports saved in the Knowledge Base, Google Books (if the book is available), or LinkedIn posts. 

Whichever is relevant for the particular topic.

All these workflows can run in parallel for every keyword, and that’s where the time savings happen.

I’ve built a similar sequence of workflows for software research. 

Here, the foundation isn’t SERP analysis but the product website research workflow that scrapes the official website, extracts information about all features, pricing, use cases, user personas, positioning, and everything else you need to write a decent listicle.

Of course, AI can’t test all the tools for you, and that’s the most accurate way to evaluate software. And I haven’t found a reliable way to scrape reviews from third-party sites, yet, so in-depth review analysis is another thing the writer must do themselves.

The biggest limitation of using AI for research is that it follows a certain pre-programmed path from which it cannot diverge to explore unexpected topics or angles that emerge during research. That’s where human researchers win hands down. 

2. How to automate content outlining with AI

I’ll be honest with you: Outlining is one area that I would be reluctant to automate with AI.

The reason? AI isn’t good at original thinking. 

It can spot patterns and themes across the competing content and sources, but it isn’t great at finding unique angles. Not ones that would resonate with the audience, anyway.

So the outline is likely to resemble everything else that’s already been written. Which won’t work if you want your content to stand out.

But it will work for SEO/AIO content. 

If you choose to go this way, here’s an overview of the outline workflow that I’ve built:

1. Creates a detailed outline based on research and SERP analysis.
2. Checks how structurally sound the outline is (idea flow, H2/H3/H4 hierarchy, MECE, BLUF, etc.), and recommends edits.
3. Implements the edits suggested in step 2. 

3. How to automate editing with AI workflows

Chloe West, the Content Marketing Manager at Social Vista, has recently shared this post about editing “on vibes.” 

Lots of experienced editors work like that. We often can’t rationally explain why we choose to tweak the copy. 

AI can’t act on vibes. It can’t feel if something sounds right or wrong. 

But it’s good at following checklists, so it can take some of the mechanical editing off our plates. 

Here’s how my editing workflow works:

1. High-level edit: Inspects alignment with the outline/brief, the flow of ideas, looks for fallacies, factual inaccuracies, and sections that a sceptical reader might question. The follow-up prompt implements the recommended changes.

2. Line-edit: Removes cliches, repetitions, tautologies, changes passive voice into active, cuts to fluff.

3. AI text humanizer: Whether AI wrote the draft or not, it may contain language overused by AI, like participle clauses. This step gets rid of them.
4. SEO check: It checks if the keywords and semantic terms are still in the text after the previous rounds of edits and adds more if it can be done naturally.

I still edit manually after running the workflow, but it usually gets me 90% of the way. 

1. How to automate content refreshes with AI workflows

Content refreshes seem to be the hot topic at the moment, and rightly so. 

Companies sit on dozens — if not hundreds or thousands — of blog posts that gradually decay into oblivion. Updating them often delivers more value than creating new content. 

AirOps has an out-of-the-box refresh workflow grid. It analyzes your article, suggests improvements based on your goals (e.g. higher organic rankings or higher AI visibility), recommends changes, and can implement them (or you can pass the report to your writer).

However, I’ve built one that prioritizes pages to update. 

When building the refresh grid in AirOps, you can choose to filter the pages in your blog based on their last update date, click drop over the past 30 days, or rank drop in the last 30 days.

If you have a large library, you may still be left with dozens of blog posts to update. That’s no problem if you’re using AI to do the complete updates and have enough credits in your wallet. 

But it may not be if you’re doing the actual updates manually. 

Also, I felt like there are more relevant criteria to consider when prioritizing blog refreshes, like their business value.

 A high-converting BOFU piece should be higher on the list than a TOFU one. An article in the top 11-20 may bring more traffic if we bump it to the first page than one in positions 4-10 that we bring to the top 3. Assuming people actually click on the search results for the keyword.

My workflow prioritizes pages to refresh based on their:

– Funnel stage (BOFU content, like listicles or X vs Y articles, gets higher scores than TOFU guides)

– Conversions (Higher conversions = higher priority)

– Keyword search volume and traffic (higher volume = higher priority)

– Organic rankings (1-3 vs 4-10 vs 11-20, etc)

– Rankings decay

– Freshness (pieces updated within the last 3 months get 0)

– Difficulty (based on competitor backlink profile strength)

The data comes from GSC, Semrush, and DataForSEO (can be Ahrefs or Moz if that’s what you prefer), and GA4 (which was a bit of a battle to set up to start with).  

Once we have the data, a sequence of prompts evaluates the article based on the set criteria and assigns a score.

The final prompt calculates the overall score and generates a report with a rationale. 

Note that to calculate the overall score, the individual criteria scores are weighted. So, the business potential affects the score more than rankings, potential traffic more than freshness, and so on. You can adjust the weighting to your priorities. 

1. How to automate content repurposing with AI workflows

Content repurposing is one of the areas that you can safely scale with AI workflows without worrying about quality. 

AI is perfectly capable of converting your YouTube video into a blog post or a newsletter, or turning it into individual social media posts. If the ideas in your original asset are sound, the quality won’t suffer.

Here’s an example of such a workflow I’ve built for LinkedIn. 

1. It scrapes the blog URL and identifies unique ideas.

2. I review which ideas I’d like to convert into LI posts manually
3. The prompt writes each post based on the examples I’ve saved in the brand kit. 

You can duplicate the workflow and adjust the prompts to produce social posts for other social channels, ready to plug into your scheduling tool.  

Content engineering best practices

Let’s wrap up with a few content engineering best practices that all the above workflows are based on.

1. Break the process into multiple small steps

Breaking the workflow into smaller steps almost always gives better results. 

For three reasons:

• The more complex the prompt, the higher the risk of the AI model getting confused and turning out output we’re not happy with. 
• It’s easier to find bugs in shorter prompts.
• Some LLMs, like ChatGPT, have very limited output size or context windows, so they may not be able to produce larger sections of text without the quality gradually deteriorating or the text cutting off mid-sentence. That’s why my workflows create one section at a time and only then combine them into a whole piece. 

2. Engineer human oversight into the process

Embedding human overview steps into the process generally improves the overall quality of the final workflow output.

AI is good at completing lots of content tasks at a decent level, but it’s never 100% there. So a human should step in and fix what AI can’t deliver.

For example, in my workflows, I always choose the Reddit threads to analyze or YouTube videos to transcribe to ensure relevance. And I won’t let the workflow move directly to drafting before I review the outline.

Naturally, the more human oversight, the longer it takes to get the output. So if speed and high publishing cadence are the priority and you’re happy to ship content that may be lower quality, include fewer human revisions.

3. Embed quality checks in the workflow

LLMs still hallucinate a lot. And if you ask them to do something once, it doesn’t mean they will do it. 

That’s why all my workflows have automatic quality checks to ensure the right output quality. 

For example, my deep research workflow consists of three steps:

1. The actual deep research.
2. The source vs the report check: It goes directly to the sources cited in the first report and checks their quality, currency, and if the information was cited accurately.
3. A general accuracy check on the step 2 report.

Or when I want it to follow specific writing rules, I repeat them through the workflow. In the brand kit/system prompt, in the writing prompt, and again in the editing prompt.

Such sequences take longer to execute and are more resource-intensive, but structuring workflows like this improves accuracy dramatically. And it’s nothing compared to checking every stat or claim manually. 

4. Build context so as not to leave room for interpretation

Prompting LLMs is like talking to someone who grew up in a completely different part of the world. They may speak the same language, but you don’t share the same background, so they may interpret your words very differently. 

To avoid misunderstandings, we need to give it the context.

For B2B content, here’s a good start:

– Brand information

– ICP 

– Key competitors

– Point of view

– Author persona

– Reader personas

– Tone of voice

– Style requirements

– Templates and content samples

– Reliable sources to cite

In AirOps, all this information lives in the Brand Kit, and in Claude Code, I have it all organized in neatly organized folders on my hard drive. 

5. Build reusable knowledge bases

Building knowledge bases with source information is one of the easiest ways to scale content creation. 

Let’s take creating BOFU content: listicles and X vs Y articles. 

Storing detailed information — which AI can help you gather — in a database means you don’t have to research each tool again and again whenever you or your teammate creates a content brief or wants to update the article. It’s already there, ready to access.

What else do I store in my knowledge bases?

– Case studies

– Proprietary internal data

– Industry reports

– Niches newsletters

– SME interview transcripts

All in one place, ready to access. 

Wrapping up

Scaling AI content creation can mean different things. You can scale every step of the process or just individual ones, like editing. 

When choosing which phase to automate — and which to leave to experienced writers and editors – consider these factors:

• AI capabilities and limitations: Current AI models can perform all content tasks, but some of them better than others. They’re great for structured tasks that follow a checklist, like research and editing. They don’t do well on tasks that require creativity, like creating original outlines.
  
• Your prompting and content engineering skills: An experienced content engineer may easily deliver results others find impossible to achieve.
  
• Scale: Building the workflows requires upfront investment, which only makes sense if you’re using them for big projects regularly. 

FAQs

1. What is content engineering?

Content engineering is a systematic approach to creating, managing, and optimizing content using structured processes, data analysis, and technology. It combines traditional content creation with engineering principles like scalability, consistency, and efficiency. 

Content engineers develop frameworks, templates, and workflows to ensure content quality while enabling faster production. 

Content engineering involves technical skills like working with content management systems, APIs, and automation tools, and strategic thinking about information architecture and user experience.

2. What are the best content automation tools?

The best content automation tools include AirOps and Hunch for content creation and optimization at scale, Jasper and Copy.AI for AI-powered writing, Zapier, Make, and n8n for workflow automation, and Surfer and Neuronwriter for content optimization. 

You can also create content workflows with Claude Code.

3. What does ‘content at scale’ mean?

‘Content at scale’ refers to producing large volumes of high-quality content efficiently and consistently across multiple channels. 

This requires systematic processes, strategic planning, and technology assistance to maintain quality while increasing output. It involves creating repeatable frameworks and using automation tools to streamline workflows without sacrificing relevance or value. 

Answer engine optimization.

Another buzzword everyone, probably even your neighbor’s dog, has heard of (that’s a joke, of course).

However, it’s more than “just another trend.” And God knows, we’ve seen plenty of those over the years. 

This time, we are dealing with something that is relatively new but has already redefined the way we search. 

And companies, both large and small, already feel the impact. 

But because this area is still developing, many businesses lack the internal knowledge and resources to turn that impact into profit. 

If that’s true about your brand, these ten AEO agencies have the necessary tools and expertise to help with AI visibility.

P.S.: If you prefer to look for the best GEO Agencies, refer to my other listicle.

P.S.2: Want to see who LLMs recommend as the best agencies overall? I vibe coded a leaderboard to keep track of it weekly at https://best-aeo-agencies.com/.

What is Answer Engine Optimization? 

Answer engine optimization (AEO) focuses on content optimization for AI search and voice assistants. 

Here are the key strategies AEO follows:

• Content is structured for immediate answers.
• Citations are added to build authority.
• Structured data is implemented to help AI search engines understand the context faster.
• FAQs are included to answer questions directly.

The goal is to get content featured in AI search results and voice assistant replies. 

How is it different from GEO and SEO?

The key distinction lies in how and where your content ranks:

SEO = traditional SERP

AEO = direct answer box (e.g., AI Overviews)

GEO = content summaries generated by AI models

How Important is AEO for Brand Visibility?

You might be thinking, another overused term in the marketing industry, and you might be partially right. It’s still a part of wider SEO strategies, but refers to a sub-niche specialty for generative AI.

The data is unwavering: AEO is a must now.  

• 98% of buyers say they use gen AI tools at every purchase stage;
• AI Overviews were triggered for almost 25% of queries in July 2025;
• 52% of users say they rely on AI chatbots to find information.

These stats make one thing very clear. 

The reality of how people search has changed, their reliance on AI search engines is unquestionable. 

So, disregarding AEO would be like denying this reality, and that can hurt your brand’s visibility significantly. 

Of course, it doesn’t mean you should change SEO for AEO. On the contrary, both strategies, when in harmony, are powerful growth drivers.

And if you’re worried you won’t be able to handle both, don’t worry. 

That’s what these AEO agencies are for. 

Best AEO Agencies in 2026: Selection Criteria

For our list, we cherry-picked 10 AEO agencies based on the availability of:

• Proven AEO track record;
• Clear AEO strategy;
• Technical and content expertise;
• Focus on multi-platform AI visibility;
• Industry specialization (B2B SaaS, tech, e-commerce, regulated industries);
• Experimentation mindset. 

Here’s the short overview of the ones we singled out. 

Now, let’s review each agency in detail. 

1. Minuttia

Minuttia is a growth agency with a mission to “help brands dominate the future of search,” be it Google, ChatGPT, or anything that may emerge. 

Minuttia doesn’t just offer AEO services. 

The agency integrates them with SEO and broader content marketing to bridge the gap between traditional and AI-powered search. 

Simply put, with Minuttia, you get a full-stack search optimization plan that involves search engine optimization through research-backed, human-crafted content.

Here’s the full list of services Minuttia offers. 

Services

• Google and AI search strategy
• Human-crafted content
• AI content creation
• Digital PR
• Reporting and agent analytics

Strengths: Minuttia has a deep expertise in the B2B SaaS and tech industries, meaning its playbook is aligned with specific industry requirements rather than with generic AEO needs. 

Top case studies

Minuttia helped:

• Toggl to drive 7M impressions and 200+ conversions with structured content production;
• Moosend to get 5M organic impressions and 100K organic clicks by uncovering untapped content opportunities;
• Respona to go from 0 to 100K monthly organic visits thanks to a structured content strategy. 

Let’s see what the next agency has to offer.

Why I personally recommend Minuttia as the best? I have worked on several projects with Minuttia in the past, and they deliver exceptional services, care about their clients and work, and always deliver!

2. Chilli Fruit Web Consulting

Chilli Fruit Web Consulting is an agency specializing in AEO, SEO, and PR.

Link building and Digital PR are the highlights of this agency’s offering.

Apart from traditional SEO and answer engines, Chilli Fruit helps brands build visibility with:

• HARO campaigns;
• Outreach on Qwoted
• Media exposure;
• Brand mentions;
• Editorial placements.

However, these strategies are just a part of what Chilli Fruit has to offer. 

Here’s a closer look at the services. 

Services

• Visibility in AI results (AI Overview and LLM optimization)
• On-site content optimization
• Professional content creation
• Google Disavow campaigns
• Relationship-based link building
• Digital PR
• SEO consulting

Strengths: the laser-focused approach to PR strategies that helps a band get a wide variety of authority signals to rank on AI search engines. 

Top case studies

Chilli Fruit helped:

• Future Processing to achieve a 12.5% share of AI search coverage and outrank industry giants like Deloitte and Amazon in LLM citations;
• Brand24 to expand topical authority and significantly improve traffic;
• NBA Blast to gain a 1800% increase in traffic.

 Why I do recommend Chilli Fruit as one of the best AEO agencies? Again, I have worked with Chilli Fruit and saw results from their work, especially on Digital PR and link-building, an essential asset for AEO and SEO.

3. Petra Labs

Petra Labs is an end-to-end AEO partner. It combines proprietary software with hands-on execution and custom attribution modeling, built around a single thesis: visibility in AI search is only useful if you can tie it to new customers and revenue. Rather than handing you a dashboard of recommendations, Petra operates as an extension of your team and delivers on every recommendation it surfaces — from measurement through execution and attribution.

Services

• Queries — surfaces real user demand and queries from proprietary panel data and custom integrations
• Tracking — tracks brand presence, sentiment, and competitive threats across every major AI platform
• Action — full-stack AEO execution: producing content, earning placements in high-value and arbitrage earned media, and building social media strategy
• Attribution — custom-built marketing mix models connecting AI search activity to pipeline and closed revenue

Strengths: Petra is the only platform in the market that provides revenue attribution at scale. Its attribution is modeled, not click-based — so it captures AI influence even when there’s no click, no cookie, and no referral trail.

Best for: Teams that want AI search to function as a measurable growth channel, not just another dashboard. Engagements are higher-touch than self-serve tools, with custom pricing. 

Top case studies

• Novig — Grew AI-referred site traffic 27× in 6 months (plus 35× organic and 10× direct), taking AI visibility from 0% → 21% and ranking Novig the #1 most-cited sportsbook operator across ChatGPT, Claude, and Gemini, up from unranked.
• Fractional Jobs — Drove a +53% lift in AI-referred traffic within 3 weeks, 2× ChatGPT visibility across segments, with AI referrals becoming 25% of net-new revenue. ChatGPT visitors spent 35% more time on site than Google visitors.

4. Jordan Digital Marketing

Jordan Digital Marketing is a full-funnel growth agency that helps B2B SaaS, fintech, and high-growth companies connect SEO, AEO/GEO, paid media, CRO, lifecycle, and marketing operations to measurable business outcomes.

The agency’s AI & LLM Search service focuses on helping brands earn visibility inside AI-generated answers and AI-influenced search results, not just traditional blue-link rankings. JDM combines SEO fundamentals with AEO-specific work, including query tracking, content restructuring, digital PR, brand mentions, citation building, and reporting tied to pipeline and revenue.

What makes JDM stand out is its ability to connect AI search visibility with the rest of the growth engine. Instead of treating AEO as a standalone visibility dashboard, JDM uses AI search insights to improve content strategy, technical SEO, authority signals, conversion paths, and full-funnel measurement.

Here’s a closer look at the services.

Services

• AI & LLM Search optimization
• AEO/GEO strategy and execution
• SEO and content strategy
• Technical SEO
• Digital PR, brand mentions, and citation building
• Query tracking across AI platforms
• Content restructuring for AI Overviews and LLM retrieval
• Paid search and paid social

Strengths: Jordan Digital Marketing is a strong fit for B2B SaaS and fintech teams that want AEO to support pipeline, not just visibility. Its approach combines AI search tracking, SEO, digital PR, and conversion-focused measurement to help teams understand how organic and AI visibility influence opportunities, revenue, and business growth.

Top case studies

Jordan Digital Marketing helped:

• IDEO U has held the number one visibility rank in the Online Education category for every month of the engagement.
• LinkSquares achieve a 275% month-over-month increase in AI search citations.
• Pilot increased AI Overview visibility by 362% by reframing SEO as Answer Engine Optimization and optimizing content for both traditional search rankings and selection by AI systems.
• Babyletto increased ChatGPT referral traffic by 67% and organic traffic by 90%

5. House of Growth

House of Growth is a B2B SaaS agency built around two ideas:

1. The first one is that content should generate pipeline, not just traffic.
2. And the second one is that David can beat Goliath in this AEO era.

The agency is founder-led and specializes in AEO, SEO, and revenue-focused content for early-stage startups and VC-funded scale-ups across the US, Europe, and the Middle East looking to compete against established players with their complete narrative control approach.

What sets House of Growth apart is the founder-led model. You will work directly with John Ozuysal, an ex-SaaS founder who built and exited multiple companies before starting the agency, instead of junior account managers or outsourced freelancers.

Beyond traditional SEO and AI search optimization, House of Growth builds visibility across multiple channels:

• Interview-led owned content targeting high-intent buyer keywords;
• YouTube optimization for product and category visibility;
• Reddit presence and community engagement;
• Brand mentions from publishers that carry weight with LLMs.

Here’s a closer look at the services.

Services

• AI search visibility (AI Overview and LLM optimization across ChatGPT, Perplexity, and Gemini).
• Revenue-focused SEO strategy and execution
• Bottom-of-funnel content creation (alternatives pages, head-to-head comparisons, pricing breakdowns, category listicles).
• Technical SEO (crawlability, structured data, schema implementation, and site speed).
• Brand mention campaigns targeting high-authority LLM citation sources.
• YouTube and Reddit channel growth.

Strengths: the combination of real SaaS operating experience with a content methodology that ties directly to revenue. The monthly rolling contracts also mean there’s no 12-month lock-in.

Top case studies

House of Growth helped:

• Jamie capture 74 high-intent topics on LLMs despite heavy competition in their category;
• Warmly generate 25% of their pipeline from Answer Engine Optimization alone;
• Rows reach 100,000 organic visitors per month in a highly competitive space;
• Juma (previously Team-GPT) close a six-figure enterprise deal directly from AI search engines.

I’d recommend House of Growth as an AEO agency because the founder John is someone who’s actually built and scaled SaaS companies and is familiar with the problems you’re facing.

6. NoGood

NoGood is an agency with answer engine optimization as its key service. 

Thus, NoGood offers a full AEO service suite:

• AEO strategy development;
• Content intent analysis and content development;
• Prompt research;
• Authority building and citation analysis.

These services are a part of the Goodie platform, the agency’s proprietary AEO platform. 

However, NoGood’s offering isn’t limited to AEO. 

Services

• AEO
• SEO
• Organic social
• Social ads
• Paid search
• Performance branding
• Lifecycle marketing
• Content marketing
• CRO
• Video marketing
• Marketing analytics
• Fractional CMO

Strengths: a unified growth-driven model that ties brand visibility to business outcomes. 

Top case studies

With NoGood:

• SteelSeries drove a 23x increase in YoY AI search traffic and a 75% improvement in Perplexity Visibility Score;
• MongoDB got 3.4M impressions in a single quarter;
• Gelato saw a 200% increase in growth-attributed revenue. 

The following agency caters mostly to large-size businesses. 

7. iPullRank

iPullRank is a growth agency with a focus on enterprise brands. 

The agency’s signature service is Relevance Engineering – a methodology that ensures a brand’s content is equally meaningful both to humans and generative engines. 

Here’s how it works:

• Aligns content with intent in a conversational tone;
• Focuses on interview-led content creation;
• Does semantic optimization;
• Structures the content to make it extractable for AI search engines.

Apart from Relevance Engineering, here’s what else iPullRank has to offer.

Services

• Content strategy and marketing
• Technical SEO
• Generative AI training, strategy, and prompt library
• Data-backed content engineering

Strengths: iPullRank’s distinctive trait is its heavy focus on data used to build a strategic informational architecture rather than just to answer tactical AEO needs. 

Top case studies

iPullRank doesn’t disclose client names in case studies, but the results are quite impressive:

• An e-commerce marketplace got a 175% YoY increase in growth and a $290M boost in revenue;
• A telecom company got 1.41M impressions in AI overviews and a 253% growth in AI Overview inclusions;
• A fintech brand saw a 52.6% cumulative increase in traffic and 17x higher conversion rates.

8. Maximus Labs

Maximus Labs is an agency specializing in AI-native SEO. 

The agency brands itself as an AI-native SEO agency from its inception, with the goal to dominate both traditional search and AI search platforms. 

In other words, unlike other agencies that were SEO-first, Maximus Labs is an AEO-first agency, which is also reflected in its services. 

Services

• B2B-focused R-SEO (revenue-focused), with AI as an SEO enhancer;
• GEO and AI SEO with a tailored playbook;
• Technical SEO to build technical infrastructure for organic and AI visibility;
• Programmatic SEO to grow topical authority;
• BOFU-focused content creation and marketing.

Strengths: Search Everywhere Optimization that focuses on optimizing a brand’s footprint across multiple channels. 

Top case studies

Maximus Labs helped:

• Oliv AI get cited in ChatGPT and Perplexity and rank on Google within 90 days;
• A post-seed HR tech startup get 18 ChatGPT and 12 Perplexity citations within 90 days, generating 47 qualified demo requests;
• A Series A payment API company, originally invisible in AI search, get a 68% inclusion in AI answers across core queries within ~90 days, with AI-sourced leads converting at 6.2x the rate of organic search and a ~290% increase in demo requests. 

Let’s see what the next agency has to offer. 

9. Victorious

Victorious is a digital marketing agency focusing on search engine optimization. 

As AI platforms emerged and started dominating user searches, Victorious introduced AEO, but as a part of their SEO offering. 

Their philosophy is that, if SEO is inherently effective and delivers high performance, the visibility in answer engines will be equally high. So they upgraded their existing SEO foundation to support AI discovery. 

Let’s see how it translates into services. 

Services

• Answer engine optimization services
• SEO services (on-page SEO, keyword research, SEO audit, SEO migration, off-page SEO, link building, and technical SEO)
• Content marketing services
• Web services (e.g., managed hosting)

Strengths: established SEO authority alongside emerging AEO expertise.

Top case studies

Victorious helped:

• Citron Hennessy Therapy to drive an 861% increase in organic search and a 300% boost in organic conversions;
• General Electric Digital to get a 104% increase in organic traffic, a 252% boost in organic clicks, and a 284% increase in organic impressions;
• Agora to reach an 847% boost in YoY goal completions and a 490% rise in page one keywords. 

Victorious won the 2024 Clutch Agency Awards for its services and high achievements, just like the following agency on our list. 

10. 97 Switch

97 Switch is a boutique, full-service digital marketing agency. 

Just like at Victorious, SEO is the foundation that integrates all other strategies at 97 Switch, including answer engine optimization. 

Essentially, each service 97 Switch offers impacts the other, ensuring that a brand gets a balanced presence across all the marketing platforms. 

Which services does 97 Switch have in particular?

Services

• Creative (brand identity, brand guidelines, web design, social media content, illustration, motion graphics, collateral graphic design)
• Web design and development (front-end development, SEO, AEO, GEO optimization, website support and management, e-commerce services, UI/UX, performance testing)
• Strategy (discovery and analysis, KPI and goal setting, brand architecture, strategy and reporting, ideation and visual planning, program roadmaps)
• Marketing (paid search, paid social, SEO, AEO, GEO optimization, organic social media, email marketing, copywriting, online listing management, and reporting)

Strengths: broader digital marketing services that support AEO efforts. 

Top case studies

With 97 Switch:

• SideGigster gained 2000+ leads for its affiliate program in the first 90 days;
• 444Social launched a luxury apartments community to 100% occupancy;
• The Albert restaurant in Chicago saw 7200 new visits to its Reservations page and more than 520 form submissions for private events.

In all three case studies, AEO was a part of the offered services, alongside web development and design. The next agency follows the same approach. 

11. Ignite Visibility

Ignite Visibility is an agency specializing in ROI-driven digital marketing. 

AI optimization comes as a part of the agency’s full-stack services, with the main focus remaining on SEO. Just like the two previous agencies, Ignite Visibility believes AI visibility comes as a result of various tactics working in unison. 

Here’s how it is reflected in the agency’s services. 

Services

• Owned media: content marketing, conversion rate optimization, creative and branding, website development, WordPress development, reporting and data analytics, email and SMS marketing, lifecycle marketing;
• Earned media: SEO, local SEO, AI SEO, digital PR, social media management;
• Paid media: PPC, paid social advertising, display advertising, influencer marketing.

Strengths: integration of authority building, technical SEO, and cross-channel marketing for AI visibility. 

Top case studies

Ignite Visibility mostly works with local businesses. Here are some examples of companies they helped (brand names are not mentioned):

• A home services franchise group saw a 458% AI visibility growth across 5K+ blogs;
• Another home services franchise reached 50x more growth against their competitors after a 6-month SEO program;
• A multi-location franchise increased page 1 keyword rankings by 80% thanks to strategic PPC optimization and a hyperlocal SEO plan. 

Let’s move on to the next agency.

12. First Page Sage

First Page Sage is an agency specializing in authority-driven growth. 

By authority-driven, we mean an emphasis on building thought leadership as the foundation for brand visibility. Thus, it also influences the agency’s answer engine optimization services. 

First Page Sage is also both a practitioner and an evangelist of AI optimization – the agency often posts studies on the topic, like the analysis of Google vs. ChatGPT market share in 2026 or the most cited websites by AI model for buying. 

As an AI optimization practitioner, First Page Sage offers the following services. 

Services

• SEO
• SEO consulting
• SEO strategy
• Generative AI optimization
• Thought leadership
• Web design
• Lead generation (for B2B, B2B SaaS, fintech, healthcare, manufacturing, construction, cybersecurity, insurance, financial, law, staffing, and real estate industries).

Strengths: building brand visibility through thought leadership. 

Top case studies

Ignite Visibility mostly works with local businesses. Here are some examples of companies they helped (brand names are not mentioned):

• Cadence Design Systems achieved a 934% increase in total keyword rankings, leading to dramatically greater organic visibility and engagement;
• iGPS drove 368 first-page keywords and ~87,936 new users, translating into leads valued at approximately $15 million in lifetime value. 

First Page Sage’s main clientele are large B2B and enterprise companies. The same is true about the last agency on our list. 

The proprietary platform we mentioned is an AEO+SEO tool that helps Graphite’s clients track performance across multiple channels (ChatGPT, Perplexity, Gemini, Claude, etc.) and run competitor comparisons. 

Aside from that, Graphite does AEO as part of its services, along with other offerings. 

Services

• Editorial: topical authority, personal mapping and strategy, user intent research, market gap analysis, high-intent topics, high-impact briefs, premium copywriting;
• Programmatic SEO: scalable page templates, high-volume page generation, indexation logic, content creation, title tag optimization;
• AEO: question research, earned and owned strategy, citation optimization, brand reputation;
• Technical SEO: visibility audits, internal linking, architecture and crawlability, international SEO, site migrations;
• Performance: growth forecasting, custom reporting dashboard, KPI tracking and reporting, cohort analytics, CRO audits,and optimization. 

Strengths: integrated AEO, SEO, and technical strategy ecosystem, as well as emphasis on data and analytics. 

Top case studies

Graphite helped: 

• Fourthwall achieve a 936% increase in search-driven revenue over 9 months, with significant growth in impressions and clicks through improved content strategy. 
• Practice drive over $100 K in quarterly deal flow from SEO, with a 10x increase in traffic and strengthened topical authority within a year. 
• MasterClass grew monthly non-branded organic traffic to 571K, turning SEO into a major source of sustainable traffic and visibility. 

You might be thinking: all these agencies look trustworthy. So, how do I pick the right one? 

Let’s find out. 

How to Choose an AEO Agency?

First and foremost, you need clarity on these three things:

• Understanding of AEO: an agency should treat an AEO strategy as something that would change on a case-by-case basis, not just reliable SEO as AEO;
• Proven case studies: an agency should provide a verifiable list of companies it helped with AI visibility, along with evidence of how they attribute business impact to AEO efforts;
• Reporting: a good agency is always ready to give specifics on how they measure citations, brand mentions, and share of answers, track visibility, and other metrics involved in AEO. 

Answering the following questions can also help you weed out the poor choices:

• How does the agency approach content creation? Who creates content: humans, AI, or the mix? How does the agency ensure credibility and reliability?
• What technical AEO work does the agency do?
• How would an AEO strategy align with the rest of the growth tactics?
• What platforms and tools does an agency use for AEO?
• Does an agency do AEO experimentation or have a static strategy?

Watch out if:

• An agency guarantees AI visibility and rankings;
• There is no clear differentiation between SEO and AEO;
• The approach to measurement and reporting is vague;
• The agency overrelies on AI-generated content;
• Case studies have no concrete outcomes. 

Remember: there is no stable #1 position in AI rankings and results change based on how the user phrases the prompt,as well as location and concept. 

So, if an agency says you’ll get stable #1 rankings in AI search, it’s not someone you want as your growth advisor. 

Wrapping Up

Even though AEO is relatively new, there are plenty of agencies that already offer it as a service.

The ten examples shared in this article all get the job done, although the businesses they work with differ in size. For instance, Ignite Visibility is great for local businesses, while Minuttia handles both B2B businesses and enterprises. 

So, keep your business’s size and needs in mind before you choose the one that’s best for you. 

Frequently Asked Questions (FAQs)

Q1. Who needs an AEO agency?

A business needs an AEO agency if it relies on trust, authority, and recommendations in AI-driven search, not just traditional rankings. 

This is especially true for companies selling complex or high-consideration products where buyers ask AI tools for guidance. 

Q2. Why partner with an AEO agency?

AEO agencies understand how to structure content, authority signals, and data so it’s trusted by answer engines. 

Partnering with an AEO agency helps a brand influence how AI systems explain, cite, and recommend it, not just where it ranks. 

Q3. What services does an AEO agency offer?

An AEO agency helps brands with:

• Answer-focused content strategy and creation.
• Structured data, schema, and technical optimization for AI understanding.
• Question and intent research for AI and conversational search.
• Authority, entity, and brand signal building (citations, mentions, PR).
• Visibility tracking and measurement across AI and answer engines.

Q4. What are the best AEO agencies for startups?

The AEO agencies most suitable for startups are:

• Minuttia
• Chilli Fruit Web Consulting
• NoGood
• 97 Switch

Q5. What are the best AEO agencies for enterprises?

The AEO agencies with the best offering for enterprises are:

• Minuttia
• iPullRank
• Victorious
• Ignite Visibility
• First Page Sage
• Maximus Labs
• Graphite

This article expands on Antonis’ view of “the unified web” or “the unified web ecosystem”, and the role of multichannel SEO in the unified web and provide actionable tips and practices that we, as SEOs or digital marketers can leverage to navigate the unified web and help brands grow organically.

Disclaimer: Opinions and tactics mentioned in this article, are purely personal observations based expertience.

What is multichannel SEO

Multichannel SEO refers to the practice of leveraging mutiple channels or platforms to increase clicks and conversions to a website or increase overall visibility for a specific brand, service or product. Multichannel SEO goes beyond Google and the standard way of publishing pages to capture blue link positions.

Examples* of multichannel SEO might include strategies and/or content on:

• Reddit
• YouTube
• Quora
• LinkedIn
• Big publications like Forbes
• Social media like X (ex-Twitter)

*Examples have been added to the article by the editor to support the definition provided.

What is the unified web

The Unified Web, is the the user-centric (people and agents) web, regarding how platforms and mediums are connected with each other.

Antonis strongly believes that embracing the unified web, is a must for brands, in order to keep on growing organically. Channels are not working in silos anymore, but, they feed each other, creating feedback loops between them.

Editor’s Note: This has always been the case, where brand fuels SEO, and SEO improves brand positioning in concert with the overall strategy. The fact is that now it becomes more obvious and in a mature web, brand and a stronger overall strategy plays a bigger role than simple, fast, growth-hacks.

Non-linear user journeys

To explain the concept of the unified web, let’s take an example of a web searcher/user:

The user journey might look as follows:

• A user might start with a Google search or a prompt / LLM query.
• Then visit a sub-Reddit (or other forum) to expand or research more.
• The user might then also do some navigational searches to reach brands that the user found directly.

Alternative journey:

• The user might find content on social media,
• Google the brand to learn more,
• Ask an LLM about the brand.

The combinations are infinite and thus, the different user patterns are infinite as well. This is why people who say a channel will die are wrong. Channels don’t work in silos, they complement each other to the full searcher cycle.

Site Quality Score Patent in the Unified Web

Now, to give some more context about the concept of the unified web, I would like to mention a specific Google Patent, a Patent called: Site quality score.

In a big picture view:

The Patent’s system tracks site-specific queries and queries that users click on associated with that site.

It then calculates a site quality by taking the ratio of site-specific queries to associated queries.

The Patent specifically mentions:”A site quality score for a particular site can be determined by computing a ratio of a numerator that represents user interest in the site as reflected in user queries directed to the site and a denominator that represents user interest in the resources found in the site”

Thus, users going directly to a website can enhance this website’s performance.

And guess what can feed this system: Non-Google channels like social, LLMs etc

Non-Google channels like social, LLMs can feed the Site Quality Score System.

Apart from direct queries and branded searches, mentions on other media are also good for gaining “visibility” in LLM outputs.

And, apart from that, in-platform search functionalities, like Reddit answers, will also surface brands that are present in the platform.

Imagine this:

Your brand appears on Reddit, which feed its AI search, which also feed branded searches, which also feed trust to Google, which can enhance your rankings and all these co-occurances can also make LLMs associate your brand with specific token sequences.

This is exactly what I call the unified web.

Each channel feed each other harmonically.

The question is:

How can we, as SEOs, optimize for the unified web.

Well, there are many things to be told here, but I want to focus on the most important one, which in my opinion is content repurposing.

SEO and Content Repurposing in the Unified Web

Content repurposing is when you recycle a specific content piece into different formats to distribute it through different platforms or, in the context of SEO, capture more SERP real estate or gain more visibility.

As we are talking about SEO, I believe content repurposing will be key, because it will help with the following:

Capture more SERP estate

The SERPs are not only about the top blue links as they used to.

New SERP elements and SERP sections have been surfaced, and thus, to maximize organic growth from Google search, we should take such sections into account.

For example, check the SERP section below:

You can see social media posts ranking in the “What people are saying” section.

Or, check this SERP:

As you see, Youtube videos are ranking on the SERP.

And of course, Reddit posts rank as well:

So, for example, if we repurpose a website page into a Youtube video, we can also rank both with the website page AND the youtube video on that SERP.

Increase brand mentions and co-occurances

Another reason why repurposing is so important, is because it creates more brand mentions and co-occurances all over the web.

These not only help Google associate your brand with specific terms, it also helps LLMs associate your brand with specific token sequences.

Editor’s notes:

Brand mentions are online references to your brand, company, or product, either linked or unlinked mentions contribute to a higher level of brand awareness.

Co-occurencies are the presence and frequency of related keywords or phrases appearing near each other on a web page or within a specific piece of content.

Brand mentions and co-occurencies connect the brand keyword and create local authority for it. For example, “Coca cola” might be found often close to the words “soft drinks” as “soft drinks like Coca Cola”. This means, Google creates a strong correlation between the phrase soft drinks and Coca Cola the brand, showing Coca Cola even if the user only searched “soft drinks”.

Increased branded searches

If people see a brand more often on different channels, they will do more branded searches to learn more about this brand.

This, can feed on branded searches, which, as we said, makes the brand more legit in Google’s eyes.

Editor’s Notes: Branded searches and co-occurencies have strong correlations with better SEO results.

Multichannel SEO & Content Repurposing Tactics

Now, let’s see some tactics, on how you can approach multichannel SEO and content repurposing.

Video into SERPs Examples

Some SERPs are very hard to break into.

A “hack” to break into such SERPs, is to target the query with a video instead of a website page.

Let’s see the heavily branded and competitive SERP for the query “semrush integrations”:

Semrush’s own pages rank super high here.

But, as you can see, videos crack the SERP.

Another example, “stripe api”, a SERP where everything is a Stripe page, except for the Videos section:

These videos may rank low, but, they still cracked a heavily branded and heavily competitive SERP.

Plus, many of that queries are also Youtube queries:

So, you can rank both on Google AND Youtube. Double win!

You can also repurpose a blog post into a Youtube video targeting the same topic, even if it doesn’t have “video intent”.

Youtube users actually search for different things on the platform.

Also, since Youtube is a Google property, having a brand appear on Youtube, gives “legitimacy” signals.

Reddit Strategies

You want to be on Reddit for three reasons:

1) It ranks on Google.

2) You can appear on its “AI search engine”, Reddit answers.

3) You increase brand mentions

So, how can you approach Reddit SEO?

Let’s see some practices and tactics I believe are important:

The first one, is to repurpose “opinionated queries” into Reddit posts.

Based on personal research, Reddit seems to rank super high for queries that their answers are not black or white, but heavily opinionated.

For example:

There’s no such thing as “best dinosaur”. Different people might like different dinos better.

Another example:

Same as above, this is heavily opinionated. Some people like the movie, other don’t.

So, make a list of important opinionated queries (these can be BoFu queries like “best X” or “X review”) and repurpose them into Reddit posts.

You can also mention your brand in the post.

But, be careful!

Reddit posts must not be spammy! Respect the community and actually give value to the audience.

Another tactic, is to create a list of subreddits that match your audience and do Gap Analysis on them, to uncover queries you can target.

Gap Sub-Reddits Examples

Let’s take two sub-Reddits about calisthenic workout:

1) https://www.reddit.com/r/bodyweightfitness/

2) https://www.reddit.com/r/Calisthenic/

So, you can take the first one and do a gap analysis with the second one and then, target queries (with posts) by posting in the first one.

You should always post on thematically relevant sub-Reddits.

Another tactic, is to check for low hanging fruits on a sub-Reddit.

For example, here are some low hanging fruits (I picked positions 12-20) for the /SaaS subreddit:

So, for example, I can target the query “saas examples” on my website and then, repurpose it into a Reddit post in the /SaaS sub-Reddit.

Or, if you think you might not crack the SERP, just do the Reddit post.

Now, you might ask:

“What factors matter in ranking with a Reddit post?”

First of all:

Don’t think of Reddit posts as a “blog post alternatives”.

As I mentioned earlier, with Reddit answers, AI search will also happen inside the platform. So, you want to build those mentions.

Plus, having a brand co-occur with terms is key for Large Language Model Optimization (LLMO).

Relevant Google Patent: Ranking User Generated Web Content

AGoogle Patent (the most relevant Patent regarding ranking UGC content) that might provide hints on that.

The Patent is called: “Ranking user generated web content“.

On a high level, the Patent does the following:

This patent describes a system that evaluates the credibility of users and their content. It uses social graphs and quality scores to filter out low-quality content and highlight trustworthy information. It also takes the user’s content into account.

For example:

Let’s say a user searches “Best diving spots in Thailand”:

This Patent does not tells us exactly how Reddit ranking works on the SERPs.

Google had a deal with Reddit after all.

And, this Patent can give us hints of what MIGHT be taken into account.

So, now you might think:

“Ok, so I need a Reddit account with good Karma, a helpful post and some answers from users on the post.”

These can be factors, but, there are many occassions that prove this to not be consistent. Based on personal experience:

• Posts from users with not so much Karma ranking high on the SERPs.
• Reddit posts with very few answers and user activity (upvotes) hitting position 1 or 2.
• “User credibility” seems to be applied to the whole Sub-Reddit.
• Often, the Reddit posts that rank are from big sub-Reddits with many users and high activity, which are also VERY relevant to the query.

So, we can suppose all these things matter:

• Profile Karma
• Sub-Reddit
• Query intent
• Post content
• Answers and activity on the post

Personal note from Antonis: I strongly believe, that, as I said before “opinionated queries” are queries you can easily rank high with Reddit posts. Cause this is what Reddit is about, people giving opinions.

And, don’t think of Reddit posts as “blue links”, as, they can take more SERP real estate by appearing on “Discussions and forums” sections:

Some things to consider when leveraging Reddit for multichannel SEO:

1) You can get banned if you seem too “SEO-rish” or “promotional”.

2) Before start leveraging specific sub-Reddits, read their rules and see how their users post.

3) Pick only a few SUPER-relevant sub-Reddits to your queries, and repurpose there without sounding too promotional. You don’t want to get banned, especially if you have a high karma profile.

Social Search and Social Media

Social media are very important for multichannel SEO in the unified web. After all, people search on social platforms.

TikTok for example, acknowledges this, and have included fully functional “organic search” features inside the platform.

What I’d like to say regarding social search, is that content on the post’s (caption/description), subtitles, text on Reels, Stories etc, matter.

After all, you can appear on social feeds without chasing any queries. Query-led marketing can help us identify what social users want to learn though.

For example, here are some queries TikTok users search on the platform:

Thus, we can create content targeting these queries.

Another way to think about “social media and SEO” is taking specific SERP sections into account.

For example, social media posts can appear on the “What people are saying” section.

Let’s see a simple multichannel SEO content repurposing flow based on the image above:

• Find a query
• Blog post
• Repurposing
• Youtube Video
• Youtube short
• Social media post

One query, produced 4 different content types.

Let’s see another SERP (for the query “how to build a gaming pc”) where social media posts appear on it:

As you see, user interests can help us repurpose website content, even if we are not sure if users search for this query inside the social platform.

So, when it comes to social media, you can do the following:

1) Target queries users search on the platform (For example, using search autocomplete on that platform)

2) Repurpose blog content into social media content

3) Find SERPs where social media posts rank and use these queries to repurpose (or create) social media posts.

Moving forward, SEO teams should work with social media teams to ensure a smooth and efficient repurposing or social search-focused process.

Editor’s note: Expanding Antonis’ views on SEO cross-collaboration, SEO teams should be more embedded into marketing and brand, and been able to address quicker opportunities and implement social listening tools the same way that content teams on social and brand utilize. SEO can impact both long-term and short-term opportunities, and support social or content teams. Although, the goals of different teams may vary, a good collaborative environment can greatly impact a company and multiply the results of a single team to impact bigger goals.

Micro-Blogging (“white hat”): LinkedIn Parasite SEO & Medium Parasite SEO

“Micro-blogging” sounds more “white hat” as a method than parasiting on bigger sites.

Editor’s Notes: Parasite SEO is not considered black hat, but wouldn’t even call it white-hat. Probably it’s a hack or grey-hat tactic. You can read more on it from the below sources:

> You can read more on what is Parasite SEO here

> And, a case study in LinkedIn Parasite SEO here.

Using mediums like LinkedIn Pulse and Medium to post content.

There are many benefits here.

First of all, repurposing content on LinkedIn Pulse and Medium, can help you rank easier on specific SERPs.

As you might know already, LinkedIn Pulse is getting a lot of traffic from Google, as Google seems to like LinkedIn’s authority.

For example here’s a SERP where a LinkedIn Pulse article ranks on it:

There are also SERPs where Medium articles rank as well.

But, apart from ranking on a SERP, LinkedIn Pulse and Medium content also appear on specific SERP sections, for example:

Plus, when a user visits a LinkedIn Pulse article from the SERP, this section appears on the article:

Which can send traffic to your LinkedIn Pulse article, even if you don’t rank on the SERP.

Some tips when repurposing content for Medium and LinkedIn Pulse, or when targeting queries with these platforms.

1) SERPs that already have a LinkedIn Pulse article, will probably won’t have a second one. So, avoid going after queries that their SERP already has a Pulse link on it.

2) If you see the “What people are saying” SERP section, but you don’t see a LinkedIn Pulse article on it, don’t get discouraged, as content on these sections seems to be changing.

3) If you repurpose blog content to Pulse or Medium, don’t copy paste your whole article. You don’t want this. LinkedIn ranks because of Authority anyway, so, you can lighten the content a bit, so it won’t be the same as the one on your website.

AI Search and LLMs

AI and LLMs are a very extensive topic, and we will keep this section focused on the topic.

First of all:

LLMs do send traffic to websites.

For example, here’s how much traffic per month ChatGPT sends to one of our clients at Minuttia:

Plus, other platforms, like Perplexity for example, can send additional traffic.

You can get traffic from LLMs in two ways:

1) Get a citation on the LLM output (referral traffic)

2) Get a brand mention on the LLM output (direct traffic if the user later visits your website)

Both are good!

Plus, a brand that appears on LLM outputs can increase its branded search traffic, which as a result, it can overtime help with its search engine rankings as well (See why I call this the unified web?).

How do we appear on LLM outputs?

So, the big question here is:

“How do we appear on LLM outputs?”

There are some awesome article’s on LLMO/GEO, two of my favourite are:

1) Decoding LLMs: How to be visible in generative AI search results

2) LLMO: 10 Ways to Work Your Brand Into AI Answers

Now, based on my own research on LLMO, I believe the following things are the most important:

1) Branded mentions: Getting brand mentions on relevant sites, training data sources is very important.

2) Appearing alongside relevant terms (co-occurances): This will help AI associate a brand with specific token sequences. For example, “{Brand name} is a remote conferencing software….”

3) Fluff-free and NLP-friendly content chunks: Content must have zero fluff and be super focused on what it covers and answers to help crawlers “be sure” about the info they “see”.

4) Matching user needs with relevant information: As users will prompt personalised queries like: “I need a budget friendly X software between X and Y price that will help me do X, Y….etc”. Thus, it’s important to map specific user needs and traits to specific products, services and solutions.

Everything we mentioned before, can feed in data to LLMs and help them create associations between brands, themes and concepts.

For example:

A digital PR campaign, can land mentions to respected publications.

Which in turn can create co-occurances and branded searches. Which in turn can boost SERP rankings, which can also help in AI search ranking as in many cases, AI search engines surface info and citations from the top ranking results.

Everything interconnects in the unified web.

Getting Started with Multichannel SEO

You don’t have to spampurpose (spamming and repurposing) content all over the web to do multichannel SEO.

Content should be good and well-structured based on each platform/channel anyway.

So, pick the most important channels for your brand and connect them with your SEO processes.

For example, I’ve made an AI automation workflow using AirOps, that recommends content formats for repurposing based on the SERP:

Then, it’s up to us in collaboration with our clients to pick the best channels for our “multichannel SEO” approach.

Use the following to guide your multichannel SEO initiatives:

1) SERP features and sections for your important queries: What SERP sections and features are there? Are there forums? Social posts? Videos?

2) Channels your audience is in: Is your audience on TikTok? What about Reddit?

3) Brand resources: Maybe the brand cannot invest on Video, but what about more social posting?

4) Internal teams: Can your team collaborate with other teams to scale your multichannel SEO?

As SEOs, we have much to learn about the unified web and about leveraging other channels for SEO.

But, I’m very positive and I believe SEO will only get more interesting moving forward.

Thank you for reading this article (even if I had some mistakes, cause, proofreading is boring to me and I also felt bored to prompt ChatGPT for editing this lol)