The GEO agency market in Poland and the wider CEE region has gone through a recognisable shift in recent months: firms that spent years positioning themselves as SEO agencies began adding "AI", "generative" and "GEO" to their descriptions en masse. The result is predictable. When everyone claims the same competence, the signal stops meaning anything, and the burden of verification falls entirely on the buyer.
The problem is that most B2B buyers do not have a ready set of questions that would let them tell an agency with genuine GEO methodological infrastructure apart from one that has simply relabelled its existing SEO offer. This post provides that set.
Why SEO Alone Is No Longer Enough, but Is Still Necessary
Before getting to evaluation criteria, one thing is worth establishing: a good GEO agency does not abandon SEO. It treats SEO as a foundation. A site's technical accessibility, crawlability and content quality determine whether it can be considered as a source in AI Overviews at all. Without that basic order in place, no optimisation for generative models will produce results.
Google has officially confirmed that AI Overviews and AI Mode rely on the same ranking systems as classic search. Solid SEO is the entry ticket to being considered by AI systems. An agency that claims GEO replaces SEO either does not understand how search engines work or is deliberately simplifying its sales message.
The difference between SEO and GEO lies elsewhere. SEO operates at the page level: titles, headings, link architecture. GEO operates at the sentence level, where every definition or statistic must be phrased precisely enough for an AI model to extract it and use it when generating a response. That is a fundamental difference in the unit of work and in what an agency must be able to do operationally.
A site's technical accessibility, crawlability and content quality determine whether it can be considered as a source in AI Overviews at all.
Source: Gazeta Prawna, analysis of GEO agency competencies
Questions That Separate Methodology from Marketing
The questions below are not a checklist to tick off. They are a diagnostic tool: the answers reveal whether an agency thinks in GEO terms or merely uses its vocabulary.
How does the agency define "AI visibility" and how does it measure it?
An agency without measurement infrastructure cannot deliver GEO. Ask directly: in which models and for which queries should the brand appear? How does the agency monitor citations in ChatGPT, Perplexity and Google AI Mode? If the answer is "we check manually" or "we watch trends", that is not a GEO agency. It is an SEO agency using new terminology.
How does GEO content optimisation differ from standard SEO copywriting?
The answer should address sentence structure, precision of definitions, formatting of answers to questions, and the density of extractable facts. If the agency talks about "valuable content" and "natural language" without getting into the mechanics of extraction by language models, there is no GEO methodology here.
How does the agency manage brand entity integrity?
This question eliminates most firms that have done a rebrand. Entity integrity means consistency of name, registration data, business description and brand attributes across all public data points: the website, schema markup, directory profiles, external media. AI models build their knowledge of a brand from multiple sources simultaneously. If the agency has no process for managing those signals, it does not understand how knowledge graphs work.
Does the agency work bilingually, in Polish and in English?
This question matters particularly for companies in Poland and CEE that want to be cited by global AI models. The citation pools of ChatGPT, Claude and Perplexity are dominated by English-language content. An agency that produces only Polish-language content limits the reach of its work to a fraction of the space in which AI models form opinions about a brand.
What does GEO results reporting look like?
Ask for a sample report. It should include specific queries for which the brand is cited, changes over time, and a comparison against the starting point. A report describing "growing AI visibility" without data is a warning sign.
Deliverables That Should Be Standard, Not the Exception
Beyond the questions, it is worth knowing what concrete work products to expect from a GEO agency. Their presence or absence is as informative as the answers to those questions.
An AI visibility audit should be the starting point of any engagement. Not a general content analysis, but a systematic check of which queries cause the brand to appear in generative responses and which do not. Without that baseline measurement, no subsequent change can be assessed.
A brand entity map is a document describing how AI models "see" the brand at a given moment: what attributes they assign to it, what topics they associate it with, what sources they cite. A competent GEO agency can describe that picture and show how to change it.
A content plan built for extraction by AI models differs structurally from a standard content calendar. Each article should contain clearly separated definitions, formulations that answer specific questions, and data that can be cited. If the agency cannot show how that plan looks different from a traditional SEO plan, there is no methodological difference.
Citation tracking over time is a deliverable that requires tooling. Manually checking ChatGPT responses once a month is not monitoring. Ask which tools the agency uses and whether you have access to them as a client.
Competence Signals That Cannot Be Faked
Some things are hard to simulate without real infrastructure. They are worth looking for.
A live technology platform that the client can access is one of the stronger signals. An agency that talks about controlling brand visibility in AI but has no tool through which the client can observe that visibility is selling a promise, not a product. Unomage gives clients access to a platform at platform.unomage.com, where AI visibility is measurable directly, not described in slide decks.
Public methodological content is another signal. An agency that understands GEO should be able to describe its methodology publicly and in detail. If the agency's website contains only general declarations and case studies with no explanation of the mechanics, it is worth asking why.
Familiarity with the specifics of the Polish and CEE market has operational significance. The linguistic structures of Polish, search behaviour in the region, the local characteristics of B2B sectors: all of these affect how to create content that performs well under AI models in this specific geographic context. An agency without that knowledge will apply templates built for the Anglo-Saxon market, which may not work with the same effectiveness in Poland.
What to Avoid When Choosing a GEO Partner in Poland
A few patterns recur often enough to name directly.
An agency that opens the conversation with the number of keywords in the TOP10 is thinking in SEO terms. That is not a bad thing, SEO is necessary, but it is not GEO and the buyer should know what they are buying.
An agency that promises "appearing in AI" without a baseline audit has no way to measure progress. Any promise about change requires knowledge of the starting point.
An agency that cannot explain how optimisation for ChatGPT differs from optimisation for Google does not understand the difference between classic search and generative models. That is a diagnostic question you can ask at the first meeting.
An agency that has no process for managing entity integrity will be creating content in a vacuum. AI models do not cite content in isolation from context. They cite brands to which they assign attributes of credibility and expertise. Building those attributes requires working across multiple layers at once, not only on blog content.
What a Genuine GEO Engagement Looks Like in Practice
An honest GEO agency starts with diagnosis, not a proposal. An AI visibility audit, an assessment of entity integrity, an analysis of topic coverage gaps: these should come before any strategic recommendation. Companies in Poland and CEE that sign a contract with an agency without this stage are buying activity without a reference point.
The technical layer should follow: schema markup, data structure, content accessibility for AI crawlers, metadata accuracy. This is work that requires technical competence, not only content competence. An agency without this layer will be building visibility on an unstable foundation.
Only on that foundation does it make sense to create content optimised for extraction by AI models, build topical authority, and work on co-citations in external sources. The order matters. An agency that starts with content before a technical and entity audit reverses the correct sequence.
For companies operating in Poland and CEE, there is one further dimension: bilingual coverage. A GEO strategy limited to one language is a partial strategy. Global AI models form opinions about brands on the basis of English-language content to a disproportionately greater degree than content in other languages. A GEO partner in Poland that does not work in both languages limits the reach of its work to the local ecosystem.
What a Contract with a GEO Agency Should Contain
The contract terms are the final filter. Several elements should be present without negotiation.
A definition of measurable KPIs tied to AI visibility, not to organic traffic or keyword positions. GEO has its own metrics and the contract should name them.
Client access to measurement data, not only to reports prepared by the agency. The difference matters: a report is an interpretation, data is fact.
Ownership of content and data after the engagement ends. This is a standard requirement in any marketing engagement, but worth checking explicitly.
A description of the entity integrity management process as a distinct area of work, not as something folded into "content optimisation".
An agency that is unwilling or unable to describe these elements in a contract probably does not have the processes it would need to describe.
Choosing a GEO partner in Poland and CEE is harder than it was a year ago, because the market offer has grown faster than real competence. A buyer who enters a conversation with a specific set of questions and a clear sense of what deliverables to expect is in a much stronger position than one who evaluates an agency on the basis of a presentation and references. References can be selected; diagnostic questions are harder to fake.
This article was created with the help of the Unomage AI platform.