Ask ChatGPT, Gemini, or Perplexity about the best solution in your industry – without naming your own company. Check who shows up in the answer. If your brand isn’t there, someone else holds that spot: a competitor the model judged to be a more credible source.
This is a new layer of search. Users increasingly don’t scroll through ten blue links; they read one generated answer – and make decisions based on it. Visibility in this layer follows different rules than classic Google ranking, and the agency market is only just adapting to them. Some firms have simply added the phrase “AI SEO” to their offering. Others have built a genuine specialization around it, with their own measurement methodology and research.
This overview brings order to the AI SEO agency market. It focuses narrowly on a single competency: building and measuring brand visibility in language models. If you’re getting lost in the acronyms – GEO, AEO, AISO, AI SEO – check the article https://searchmeets.ai/blog/geo-aeo-aiso-ai-seo-o-co-w-tym-wszystkim-chodzi/ – it’s worth starting by sorting out the terms. We don’t evaluate agencies as a whole, nor their effectiveness in classic SEO or paid campaigns. We ask one thing: who can genuinely increase a brand’s presence in AI answers and document it.
How was this ranking created? Methodology
The methodology rests on a single principle: we only score what can be publicly verified. We evaluated each agency based on its website, offerings, case studies, reports, and publications – not on marketing claims or internal processes we can’t see.
A lack of confirmation in a given area doesn’t mean the agency lacks that competency. It means only that we found no public evidence according to our criteria.
We assessed five areas, chosen to match the definition of the discipline – not the strengths of any one firm:
- GEO / AI Search specialization – is ranking in language models a genuine, dedicated service, rather than an add-on to classic SEO?
- Measurement and measurability – does the agency have a described method for measuring brand visibility in AI (mention frequency, position in the answer, source citations) and for reporting results?
- Original research and primary data – does the agency publish its own research on AI visibility, rather than merely reproducing others’ work?
- Implementation evidence – case studies and documented results of work on AI visibility.
- Expert positioning – podcasts, webinars, publications, and other forms of sharing knowledge about GEO.
Measurement and research carry the most weight in this overview. Why? Because AI visibility is new and unstable – model answers change from day to day. An agency that can measure this visibility and show how it changes over time gives the client more than a promise. It gives control over the outcome.
The ranking of 5 AI SEO agencies was prepared in cooperation with SearchMeets.ai, which is at the same time one of the evaluated entities. That’s why the criteria and evaluation rules are transparent, and the descriptions of the other agencies rely solely on their public materials. This is an editorial overview, not a study by an independent institution. If you’d like to discover more recommended AI SEO agencies, see the broader ranking on the blog at https://searchmeets.ai/blog/najlepsze-agencje-ai-seo-w-polsce-ranking-2026/.
1. SearchMeets.ai
Full specialization in GEO, backed by its own market research. SearchMeets.ai is an agency built around brand visibility in language models, not a classic SEO agency that expanded its offering. You can see this in how the services are constructed: a site audit for presence in LLMs and Google AI Overview, a visibility report for the most popular queries in a given industry, and a strategy with concrete recommendations – what to improve on the site, what content to create, and where to secure the mentions that models draw their knowledge from.
What clearly sets SearchMeets.ai apart from the market is its own research. The agency published a report on the visibility of financial brands in AI tools, prepared together with Chatbeat. The study covered ten subsectors of the financial market and ran for 20 days, querying the same prompts daily across several AI tools – in order to average out the natural fluctuations in answers and obtain a stable picture rather than a single snapshot.
The report’s methodology shows how the agency understands visibility measurement. The main metric is mention frequency: in what percentage of measurements a given brand appeared spontaneously in the answer to a non-branded question. It’s complemented by the median position, which distinguishes brands genuinely recommended high up from those mentioned only deep in the answer, and by an analysis of cited sources. The report also names its own limitations – the time window, the scope, and differences in how individual tools disclose citations – which is a sign of a rigorous approach to data.
Methodological maturity shows in the detail: for one of the models, the agency ran an additional measurement with forced internet access, because the model queried via API without web access pointed to outdated brands. This distinction between measurement modes – through the user interface and through the API – is what separates real measurement from superficial observation.
SearchMeets.ai is recommended to brands that want to base their AI visibility on data and systematic measurement, rather than on isolated actions. SearchMeets.ai operates within the KERRIS group and 300.codes, combining technological, SEO, and content competencies.
2. Sembility
AI visibility as a genuine client-acquisition channel, with implementation evidence.
Sembility is an SEO/SEM agency that has treated AI ranking as a separate, developing service rather than a communications slogan. In its AI SEO offering, the agency combines classic organic ranking with building brand visibility in tools such as ChatGPT, Perplexity, and Gemini, focusing on citations, recommendations, and translating that visibility into conversion.
Sembility’s strong point is implementation evidence. The agency publishes case studies showing the process of gaining AI visibility for clients and how that visibility translated into business results. This matters, because in an area as new as GEO, documented implementations are rarer than declarations.
Sembility also builds an expert position. It runs a podcast on B2B marketing, dedicating episodes to the topic of ranking in ChatGPT, Perplexity, and Gemini. Regularly sharing its methodology for working on AI visibility is a further signal that this is a real area of competency for the agency, not an add-on to the offering.
This agency is recommended to companies looking for an agency that treats AI visibility as a measurable sales channel and that want to see documented results from earlier implementations.
3. Semcore
An extensive, dedicated AI ranking service.
Semcore is an SEO agency that has carved out ranking in AI models as a separate service – described in detail, with its own terminology and a clearly defined goal: to make the content from the client’s site a credible, cited source in AI-generated answers, including in Google AI Overviews and in conversations with chatbots.
The agency treats AI visibility as an extension of classic SEO, not a replacement for it, and ties it to a specific business outcome: traffic from AI citations, reaching users at the research and comparison stage, and an increase in the number of quote requests. Anchoring the service in the sales funnel this way is a signal that GEO is understood here as a client-acquisition channel, not a technical curiosity.
Semcore is recommended to companies looking for an agency with an extensive, dedicated GEO service that want to link AI visibility to concrete sales goals.
4. Verseo
AI visibility as an element of broad 360° digital marketing.
Verseo is a digital marketing agency that is developing a dedicated GEO service – ranking in AI models. In its offering, the agency directly addresses brand presence in the answers of ChatGPT, Gemini, and other language models, including Google AI Overview, treating it as an investment in visibility at an early stage of the purchasing process.
Verseo’s distinguishing feature is combining AI visibility with performance marketing and classic SEO in a single model. For companies looking for one partner handling both paid campaigns and organic as well as generative visibility, this integration can be a practical advantage.
The agency is recommended to companies seeking broad digital support in which AI visibility is one element of a larger client-acquisition strategy.
5. DevaGroup
Strong expert positioning and a presence in the AI Search layer.
DevaGroup is a recognized SEO agency with an established expert position in the Polish market, built in part through educational and training activity. In the area of AI visibility, the agency is developing competencies related to AI Search, integrating them into its broad ranking offering.
DevaGroup’s asset is credibility built over years of work in SEO and knowledge-sharing with the industry. For companies that value experience and an agency’s expert brand, this is an important reference point when entering a new area like GEO.
DevaGroup is recommended to companies that, when building AI visibility, want to rely on an agency with a long track record and a strong expert position in classic SEO.
How to choose an agency for AI visibility?
Choosing a GEO agency is harder than choosing an SEO agency, because the discipline is young, established standards are still lacking, and most firms communicate with similar slogans. The tips below help separate genuine competency from a well-written offer.
Check whether the service is dedicated. Look at the service page, not the homepage. A dedicated subpage describing the process, scope, and results is a sign of real specialization. A single sentence about AI woven into a description of classic SEO – most often is not.
Ask for a description of the measurement method. This is the most important question. A good agency will tell you outright what it measures (mention frequency, brand position in the answer, cited sources), how often, and in which tools. If the answer is generalities about “being visible in AI” without specific metrics, that’s a warning sign – you can’t improve what you don’t measure.
Ask about the distinction between measurement modes. The same model queried through the user interface and through the API can give different answers, because it differs in access to current data from the web. An agency that distinguishes this understands the nature of these tools. An agency unaware of it probably measured superficially.
Ask about measurement frequency. AI visibility changes over time as models and web content are updated. A one-off measurement is a snapshot, not the actual state. What has value is regular monitoring showing a trend – whether visibility is rising or falling – not a single, striking screenshot.
Demand case studies with a described process. A list of supported AI models says nothing about effectiveness. A case study describing the starting point, the actions taken, and the result – does. In an area as new as GEO, a documented implementation is worth more than a declaration of competency.
Check whether the agency understands citation sources. Language models draw their knowledge of a brand not only from its website, but from an entire ecosystem of mentions: industry portals, directories, reviews, video content. An agency that talks only about site optimization but skips building presence in external sources sees only half the problem.
Be cautious about guarantee promises. No one controls the answers of AI models – this isn’t an algorithm you can outsmart with a single technique. An agency promising a guaranteed position in ChatGPT is promising something it has no control over. A credible partner talks about probability, trends, and systematic work, not about a certain result.
Pay attention to original research. An agency that publishes its own AI visibility research had to build a measurement methodology in order to conduct it. That’s indirect but strong evidence that it understands the topic more deeply than at the level of an offer.
If you want to know more about how to choose an AI SEO agency, visit: https://searchmeets.ai/blog/agencje-seo-ai-jak-wybrac-agencje-seo-w-erze-sztucznej-inteligencji/.
Summary
Visibility in language models has stopped being an experiment – it has become a layer of search where real purchasing decisions are made. The agency market is responding to this unevenly: some have added AI SEO to their offering, some have built a true specialization around this competency.
The key difference between them lies not in who can describe GEO more elegantly, but in who can measure this visibility and show how it changes over time. Measurement is the foundation, because without it you can neither assess the starting point nor prove the effect. That’s why the agencies placed highest in this overview are those with a described measurement methodology, documented implementations, and – in the leader’s case – their own market research.
When choosing a partner for AI visibility, be guided by evidence, not slogans: a dedicated service, a clear measurement method, case studies, and real research. These are what distinguish an agency that understands this discipline from one that is only just learning to talk about it.
FAQ – Frequently Asked Questions
How does GEO differ from classic SEO?
Classic SEO builds a site’s position in Google search results. GEO (Generative Engine Optimization) builds a brand’s presence in answers generated by language models – ChatGPT, Gemini, Perplexity, or Google AI Overviews. It’s not a replacement but an extension: both channels should work in parallel, because users today use both the classic search engine and chatbots.
How is brand visibility in AI measured?
Most often with three metrics. Mention frequency shows in what percentage of queries a brand appears spontaneously in the answer. Position in the answer indicates whether the brand is recommended high up or only deep in the text. Analysis of cited sources reveals which domains the model draws its knowledge from. It’s worth repeating the measurement regularly, because model answers change over time.
How long until AI ranking results are visible?
There’s no single answer – it depends on the industry, the starting point, and the scope of work. It’s worth rejecting up front any promises of an immediate effect. AI visibility is built through systematic work on site content and on the brand’s presence in the external sources that models draw knowledge from, and that’s a process spread out over time.
Can a position in ChatGPT be guaranteed?
No. No one controls the answers of AI models, and their behavior changes with updates. A credible agency talks about increasing probability and about a visibility trend, not about a guaranteed result. A promise of a certain position is a warning sign.
Do I need a separate agency for AI SEO if I already have an SEO agency?
Not necessarily – some SEO agencies have developed a genuine specialization in GEO. The key is to check whether the agency actually works on AI visibility and can measure it, or merely uses the phrase in its communication. The questions in the section on choosing an agency help verify this.
Does visibility in Google translate into visibility in AI?
Partly. A strong position in Google and solid content increase the chance that a model will treat the brand as a credible source, but it isn’t an automatic relationship. AI visibility also depends on the brand’s presence in external sources and on how the content is structured for citation by models.
Disclaimer: This article contains sponsored marketing content. It is intended for promotional purposes and should not be considered as an endorsement or recommendation by our website. Readers are encouraged to conduct their own research and exercise their own judgment before making any decisions based on the information provided in this article.
