Type a query into ChatGPT, Gemini, or Perplexity about the best solution in your category – and don’t feed the model your own company’s name. See who it points to. The absence of your brand from that answer means the space that could have been yours has been taken by someone else – a firm the model treated as a more reliable source.

A separate layer of search has emerged. Instead of scanning a list of links, the user gets one ready-made answer and bases their decision on it. The rules of visibility here differ from those in classic Google, and agencies are only just learning to navigate them. Some have tossed the phrase “AI SEO” into their offering. Others have built a genuine specialization around this area – with a proprietary measurement methodology and their own research.

This piece is meant to bring order to the market. We deliberately narrow it to a single skill: building and measuring a brand’s presence in language models. We don’t review agencies as a whole, nor their results in classic ranking or paid advertising. One question interests us: who can actually increase a brand’s visibility in AI answers and prove it with specifics.

How did we build this ranking? Methodology

At the foundation lies one rule: only what can be checked publicly counts. We evaluated each agency based on its website, service descriptions, case studies, reports, and publications – not on marketing promises or processes that can’t be verified from the outside.

If an agency didn’t earn a point in a given area, it doesn’t mean it lacks that competency. It only means we didn’t come across public evidence meeting our criteria.

We took five areas into account, chosen to fit the definition of the discipline itself – not the strengths of any particular firm:

• GEO / AI Search specialization – is ranking in language models a separate, genuine service, rather than a footnote to classic SEO?
• Measurement and measurability – does the agency have a described way of measuring visibility in AI (mention frequency, position in the answer, cited sources) and reporting results?
• Original research and primary data – does the agency conduct its own research into the AI visibility market, instead of reproducing others’ work?
• Implementation evidence – case studies and documented results of work on AI presence.
• Expert positioning – podcasts, webinars, publications, and other ways of sharing knowledge about GEO.

The greatest weight for us goes to measurement and research. The reason? Visibility in AI is a fresh and shaky area – model answers can change from day to day. An agency that can measure this visibility and show its movement over time offers the client not a declaration, but real control over the outcome.

The ranking of five AI SEO agencies was created in cooperation with SearchMeets.ai, which is itself one of the evaluated entities. That is precisely why the criteria and rules are transparent, and we describe the remaining agencies solely on the basis of their public materials. This is an editorial overview, not a study by an independent institute. If you’re looking for a broader list of recommended AI SEO agencies, check the extended overview on the blog: https://searchmeets.ai/blog/najlepsze-agencje-ai-seo-w-polsce-ranking-2026/. 

1. SearchMeets.ai

Full specialization in GEO, backed by proprietary market research. SearchMeets.ai is not an SEO agency that added an AI module – it’s a firm built from the ground up around brand visibility in language models. You can see it in the layout of the services: a site audit for presence in LLMs and Google AI Overview, a visibility report for the most frequent queries in a given industry, and a strategy with concrete recommendations – what to improve on the site, what content to prepare, and where to secure the mentions that models draw their knowledge from.

The biggest distinguishing feature here is the agency’s own research. It published a report on the visibility of financial brands in AI tools, developed together with Chatbeat. The analysis covered ten subsectors of the financial market and ran for 20 days – the same queries were sent daily to several AI tools, in order to average out natural fluctuations in answers and obtain a stable picture rather than a single snapshot.

The report’s methodology illustrates the agency’s way of thinking about measurement well. The main metric is mention frequency – the share of measurements in which the brand appeared spontaneously in the answer to a non-branded question. It’s complemented by the median position, which separates brands recommended genuinely high up from those mentioned only toward the end of the answer, and by an analysis of cited sources. The report also openly lists its own limitations – the time window, the scope of the study, and differences in how individual tools disclose citations – which testifies to an honest approach to data.

Methodological maturity is best conveyed by a detail: for one of the models, an additional measurement was carried out with forced internet access, because the same model queried via API without web access pointed to outdated brands. It’s precisely this distinction between modes – user interface versus API – that separates rigorous measurement from cursory observation.

SearchMeets.ai will suit brands that want to build AI visibility on data and regular measurement, rather than on isolated actions. The agency operates within the KERRIS group and 300.codes, combining technological, SEO, and content competencies.

2. Sembility

AI visibility as a genuine sales channel, backed by implementations.

Sembility is an SEO/SEM agency that has treated AI ranking as a distinct, developing service, rather than a catchy slogan. Within its AI SEO offering, it combines classic organic ranking with building brand presence in tools such as ChatGPT, Perplexity, and Gemini, placing emphasis on citations, recommendations, and translating visibility into conversion.

The agency’s strong side is implementation evidence. Sembility publishes case studies describing how it gained AI visibility for clients and how that visibility translated into business results. This is no small thing, because in an area as young as GEO, documented projects come up less often than mere announcements.

The agency also works on its expert position. It runs a podcast on B2B marketing, dedicating some episodes to ranking in ChatGPT, Perplexity, and Gemini. Systematically sharing its working methods on AI visibility is a further signal that we’re talking about a real competency, not an add-on to the price list.

We’d recommend Sembility to firms – including smaller ones – that are looking for a partner treating AI visibility as a measurable sales channel and want to see confirmed results from earlier projects.

3. Semcore

An extensive, distinct AI ranking service.

Semcore is an SEO agency that has separated out ranking in AI models as a distinct service – described in detail, with its own terminology and a clearly set goal: to make the client’s content a credible, cited source in AI-generated answers, including in Google AI Overviews and in conversations with chatbots.

The agency treats AI visibility as a development of classic SEO, not its successor, and ties it to a specific business outcome: traffic from AI citations, reaching users at the research and comparison stage, and a greater number of quote requests. Embedding the service in the sales funnel shows that GEO is understood here as a client-acquisition channel, not a technical novelty.

Semcore will be a good choice for firms that want to use an extensive, dedicated GEO service and connect AI visibility with concrete sales goals.

4. Verseo

AI visibility as part of broad 360° digital marketing.

Verseo is a digital marketing agency developing a separate GEO service – ranking in AI models. In its offering it directly addresses brand presence in the answers of ChatGPT, Gemini, and other models, including Google AI Overview, framing it as an investment in visibility at an early stage of the buyer’s journey.

What sets Verseo apart is tying AI visibility together with performance marketing and classic SEO in a single cooperation model. For firms looking for a single partner for paid campaigns as well as organic and generative visibility, such integration can be a real convenience.

We’d recommend the agency to firms geared toward 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 position in the Polish market, built in part through educational and training activity. In the area of AI visibility, it is developing competencies related to AI Search, plugging them into its broad ranking offering.

The agency’s asset is credibility developed over years of work in SEO and knowledge-sharing with the industry. For firms that, when entering a new area – such as GEO – value experience and a strong expert brand, this is an important reference point.

DevaGroup will suit firms that, in building AI visibility, prefer 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 partner can be harder than choosing an SEO agency – the field is young, established standards are lacking, and firms communicate in very similar language. The tips below will help separate genuine competency from a neatly written offer.

Check whether the service is distinct. Go to the specific service page, not the homepage. A separate subpage describing the process, scope, and results testifies to real specialization. A single sentence about AI woven into a description of classic SEO – usually does not.

Ask for a description of the measurement method. This is the most important question. A good agency will say outright what it measures (mention frequency, brand position in the answer, cited sources), how often, and in which tools. Generalities about “being visible in AI” without specific metrics are 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 interface and through the API can respond differently, because it differs in access to current data. An agency that distinguishes this understands the nature of these tools. An agency unaware of it probably measured cursorily.

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’s valuable is regular monitoring showing a trend – whether visibility is rising or falling – not a striking, single screenshot.

Demand case studies with a described process. A list of supported AI models alone says nothing about effectiveness. A case study with a starting point, actions taken, and result – does. In an area as new as GEO, a documented implementation weighs more than a declaration of competency.

Check whether the agency understands citation sources. 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 talking only about site optimization while skipping presence in external sources sees only half the picture.

Keep your distance from guarantees. No one controls the answers of AI models – this isn’t an algorithm you can outsmart with a single trick. An agency guaranteeing a position in ChatGPT is promising something it has no influence 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 beforehand. That’s indirect but strong evidence that it understands the topic more deeply than just at the level of an offer.

If you’d like to explore the topic of choosing an AI SEO agency further, visit the page: https://searchmeets.ai/blog/agencje-seo-ai-jak-wybrac-agencje-seo-w-erze-sztucznej-inteligencji/.

Summary

Visibility in language models has stopped being a curiosity – it has become a layer of search where real purchasing decisions are made. The agency market responds to this unevenly: some have added “AI SEO” to their offering, others have built an authentic specialization around this competency.

The essential difference lies not in who tells a nicer story about GEO, but in who can measure this visibility and show its change over time. Measurement is the foundation – without it you can neither assess the starting point nor prove the effect. That’s why the agencies placed highest in the 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 distinct service, a clear measurement method, case studies, and real research. These are what distinguish an agency that understands this field 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 results. GEO (Generative Engine Optimization) builds a brand’s presence in the answers of language models – ChatGPT, Gemini, Perplexity, or Google AI Overviews. It’s not a replacement but a complement: both channels should work in parallel, because users today reach for both the classic search engine and chatbots. We write more about why SEO isn’t dying but merely changing form in a separate piece: https://searchmeets.ai/blog/czy-seo-umiera-i-o-co-chodzi-z-narracja-seo-is-dead/.

How is brand visibility in AI measured?

Usually with three metrics. Mention frequency shows in what share of queries a brand appears spontaneously in the answer. Position in the answer indicates whether the brand is recommended high up or only later in the text. Analysis of cited sources reveals which domains the model uses. It’s worth repeating the measurement regularly, because model answers change over time.

How soon are AI ranking results visible?

There’s no clear-cut answer – it depends on the industry, the starting point, and the scope of work. It’s worth rejecting up front any promises of immediate results, though. 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 certain result. A promise of a guaranteed 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 most important thing is to check whether a given 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 will 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 prepared for citation by models.