AI SEO (GEO)
Specialized SEO service that makes AI models find, understand, and recommend your brand in ChatGPT, Google AI Overviews, Perplexity, Gemini, and Copilot.
Your customers stopped clicking through ten blue links. They ask an AI model a question and act on the answer it gives them.
If the model doesn’t know your brand — or knows it wrong — you’re not in the shortlist, and you never find out why.
We make sure AI systems can reach your content, understand what you do, and name you when it matters.
We Make AI Models Recommend Your Brand, Not Your Competitors
Generative Engine Optimization is not classic SEO with a new label. Classic SEO wins positions. GEO wins mentions and recommendations — inside answers where there is no ranking list, no scroll, and usually no second chance. AI systems build their own picture of your brand from your website, third-party sources, and their training data, then hand a shortlist of two or three companies to the user. We work on both sides of that equation: the content AI systems retrieve and the way the model already perceives your brand.
How AI Sees Your Brand Today
The Model Doesn’t Know You Exist
What it is: Ask ChatGPT or Perplexity to recommend companies in your category and your name never appears. The model has no stable association between your brand and the problems you solve, so it defaults to whoever it does recognise — usually a competitor or an aggregator.
What we do: We measure your visibility across models and prompts, identify the sources those answers actually pull from, and build the entity signals, citations, and content that get your brand into the retrieval set. You move from invisible to quotable.
The Model Knows You — and Gets You Wrong
What it is: The model names your brand but describes the wrong services, an outdated offer, the wrong markets, or a competitor’s positioning. Stale sources, thin About pages, and inconsistent descriptions across the web teach the model a version of your company you’d never approve.
What we do: We map exactly what each model says about you and where that belief comes from, then correct it at the source — your site, your structured data, and the third-party pages models trust. Your brand gets described the way you actually position it.
Your Content Is Invisible to AI Crawlers
What it is: AI crawlers and retrieval systems read differently than Googlebot. JavaScript-rendered content, blocked user agents, PDF-only resources, buried answers, and pages written as marketing prose rather than extractable facts simply don’t make it into an answer — even when they rank well in classic search.
What we do: We fix crawler access, rendering, and content structure so your pages are machine-readable and quote-ready: clear claims, verifiable data, defined entities, and answer blocks a model can lift without ambiguity.
Ready to Find Out What AI Says About Your Brand?
Enterprise Experience, Personal Attention
Our experts have managed SEO for websites with millions of monthly users. We’ve navigated every type of challenge, from technical crises to strategic pivots. This isn’t theoretical advice—it’s battle-tested knowledge from managing Poland’s most demanding SEO projects, applied to the way search actually works now.
How It Works
Step 1: AI Visibility Audit
We test how ChatGPT, Google AI Overviews, Perplexity, Gemini, and Copilot respond to the prompts your customers actually use. You get a baseline: where you appear, where competitors appear instead, what the models believe about your brand, and which sources they cite. We also audit AI crawler access, rendering, and content extractability on your site.
Step 2: GEO Strategy
We turn the audit into a prioritised plan: which prompt clusters are winnable, which sources need to change, what content has to exist, and which entity and structured-data work comes first. Every recommendation is tied to a specific gap we found, not a generic checklist.
Step 3: Implementation Support
We work alongside your team through execution — content briefs and rewrites, schema and entity markup, crawler and rendering fixes, digital PR targets, and source-level corrections. Your developers and writers get exact specifications, and we review the work before it ships.
Step 4: Monitoring and Optimization
We track brand mentions, sentiment, share of voice, and citation sources across models. Model behaviour shifts constantly, so the plan shifts with it. Any issues arising from our work are fixed at no additional cost.
AI SEO (GEO): Being the Answer, Not a Result
Why Classic SEO Is No Longer Enough
For twenty years the goal was a position. You ranked, the user clicked, the traffic arrived. That mechanism is being replaced by one where the model answers the question and the user never sees a list.
What changes for your business:
The answer is synthesised, not listed. A model reads several sources and writes one response. Ranking first doesn’t guarantee you’re in it — being clear, specific, and citable does.
Zero-click becomes the norm. Users get what they needed inside the answer. Your traffic reports understate your influence, because a brand can be recommended without ever receiving the visit.
The shortlist is short. Classic search shows ten options; an AI answer usually names two or three. Position eleven had some value. Not being mentioned has none.
Your brand is described by a third party. The model paraphrases you. Whatever it believes about your pricing model, your markets, your specialisation — that’s what the customer hears first, whether or not it’s true.
Sources you don’t own decide your reputation. Review sites, forums, directories, industry roundups, and Reddit threads carry disproportionate weight in what models retrieve. Your own website is one voice among many.
The result? A company can hold strong classic rankings and still be completely absent from the conversations where buying decisions now start.
Working on the Model, Not Just the Website
This is the part most agencies skip. Optimising pages is necessary but insufficient, because a large part of what a model “knows” about you was formed before it ever crawled your site.
Brand perception measurement:
We query models systematically — across prompt variants, languages, and buyer intents — and record what comes back: whether you’re mentioned, how you’re described, what tone accompanies the mention, which competitors appear next to you, and what sources the model cites.
This gives you something you’ve never had: a measurable read on how AI describes your company to prospects.
Entity clarity:
Models reason about entities, not keywords. Your brand needs an unambiguous identity: what you are, what you do, who you serve, where you operate, who runs you, and how you relate to other known entities in your industry.
We make that identity consistent and machine-verifiable across your site, structured data, knowledge bases, and third-party profiles. Ambiguity is what makes a model hedge or substitute a competitor.
Source correction:
When a model describes you incorrectly, the cause is almost always traceable — an outdated directory listing, an old press release, a competitor comparison page, an unanswered forum thread.
We identify the sources feeding the wrong belief and address them: updated listings, corrected profiles, new authoritative content, and outreach where a third-party page needs to change. Correcting the source is what changes the answer.
Sentiment and framing:
Being mentioned isn’t enough if the framing is weak — “an option worth considering” performs very differently from “specialists in X.” Sentiment in AI answers is driven by the language of the sources models trust.
We shape that language deliberately, through content, reviews, and PR that give the model better material to paraphrase.
Competitive positioning inside answers:
You are almost never mentioned alone. We analyse which brands appear alongside you, how you’re differentiated, and which comparative claims the model repeats — then build the content and evidence that improve your standing in that comparison.
Content That AI Systems Can Actually Use
Models don’t reward volume. They reward content that is easy to extract, easy to verify, and safe to quote.
Answer-first structure:
A direct answer in the opening lines, then the supporting detail. Content that buries the conclusion under three paragraphs of context rarely gets quoted, because the extractable claim isn’t clean.
We restructure key pages so the answer is unmistakable while the page still reads well for humans.
Specificity and evidence:
Vague marketing language gives a model nothing to cite. Numbers, dates, named methods, defined scopes, and stated conditions do.
We replace unverifiable claims with specific, attributable statements — the kind of material a model can repeat without risk.
Original data and expertise:
Models preferentially cite sources that contain information not available elsewhere. Proprietary research, benchmarks, case data, and genuine first-hand expertise are among the strongest GEO assets you can build.
We help you identify what you already know that nobody else has published, and turn it into citable material.
Question-led coverage:
AI prompts are conversational and long. They contain context, constraints, and follow-ups that keyword research doesn’t surface.
We map the real questions in your category — including the awkward, comparative, and objection-shaped ones — and make sure your content answers them directly.
Freshness and maintenance:
Retrieval-based systems favour current sources. Undated pages and stale figures get passed over in favour of a competitor who updated theirs.
We put a maintenance rhythm around your key pages so they stay retrievable.
Technical GEO
Everything above fails if AI systems can’t reach or parse your content.
AI crawler access:
GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot, Google-Extended, and others each behave differently, and many sites block them by accident through robots.txt, WAF rules, or bot-protection defaults.
We audit exactly which AI agents can reach your site and configure access deliberately — a business decision about which systems may use your content, made on purpose rather than by default.
Rendering and extractability:
Retrieval systems are far less patient with JavaScript than Google is. Content that requires execution to appear frequently isn’t seen at all.
We make sure your substantive content exists in server-rendered HTML, in a structure a parser can follow. (This overlaps with our JavaScript SEO work, and the two are often run together.)
Structured data:
Organization, Product, Service, FAQ, Article, and Author markup give models unambiguous facts instead of inferences. Correct entity linking connects your brand to concepts the model already understands.
We implement structured data as a machine-readable description of your business, not just a rich-snippet play.
Site architecture for retrieval:
Chunking, heading hierarchy, internal linking, and page scope determine how cleanly your content can be segmented and retrieved. Sprawling pages that cover six topics get retrieved for none of them well.
We structure content so each page has a defensible, retrievable scope.
Measurement infrastructure:
AI referral traffic is poorly attributed by default. We set up tracking that separates AI-sourced sessions, so you can see the traffic and conversions this work produces instead of guessing.
Protecting Your Investment
GEO is a moving target, and a one-off project doesn’t hold.
Monthly AI visibility reports:
Mention rate, share of voice against named competitors, sentiment, and citation sources — tracked per model and per prompt cluster, so you can see movement rather than anecdotes.
Real-time monitoring:
We watch for sudden changes: a model that stops mentioning you, a new competitor entering your answers, or a bad source gaining influence. Problems surface immediately, not in a quarterly review.
Six-month optimization guarantee:
We monitor your AI visibility for six months, optimize based on the data, and fix any issues arising from our implementation at no additional cost.
Team documentation:
Your writers and developers receive the standards, templates, and technical requirements needed to keep new content AI-ready, so the work doesn’t decay with the next redesign or content push.
The Cost of Being Invisible to AI
Decisions made without you:
Buyers now build their shortlist before they contact anyone. If the model doesn’t name you, you’re not evaluated — you’re not even rejected.
A brand story you didn’t write:
Every incorrect description a model repeats reaches prospects at the exact moment they’re forming an opinion. Wrong service scope, wrong market, wrong positioning — repeated at scale, uncorrected.
Compounding competitor advantage:
Brands that become the standard answer accumulate citations, mentions, and reinforcement. The longer that runs, the more entrenched the association becomes and the more expensive it is to displace.
Traffic decline you can’t explain:
Impressions hold, clicks fall, and classic reporting shows nothing wrong. Without AI visibility measurement, you can’t see the channel that’s taking the demand.
Classic SEO still matters — AI systems lean heavily on the same signals of quality and authority. But optimising only for the blue links means competing for a shrinking share of attention.
Find out what AI models say about your brand today. You can’t fix a perception you’ve never measured.
Ready to Find Out What AI Says About Your Brand?
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FAQ SECTION
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What Is GEO and How Is It Different From SEO?
Generative Engine Optimization is the practice of getting your brand and content into answers generated by AI systems — ChatGPT, Google AI Overviews, Perplexity, Gemini, Copilot — rather than into a ranked list of links.
The shared foundation:
GEO and SEO are not opposites. AI systems rely on crawlable, well-structured, authoritative content, and many of them retrieve from a search index. Strong classic SEO is a prerequisite, not a competing strategy.Where they diverge:
The unit of success changes. SEO optimises for a position; GEO optimises for a mention inside a synthesised answer.
The query changes. Search keywords are short; AI prompts are long, conversational, and full of context and constraints.
Off-site sources matter more. Models weight third-party pages — reviews, forums, directories, industry roundups — heavily when forming an opinion about a brand. You have less direct control and more need for deliberate influence.
The brand itself becomes an optimisation target. In classic SEO you optimise pages. In GEO you also work on what the model believes about your company as an entity, independently of any single page.
Measurement changes. There is no rank tracker for an answer. Visibility is measured by mention rate, share of voice, sentiment, and citation sources across models and prompts.
In practice, we run GEO as an extension of technical and content SEO, not a replacement for it. -
How Do You Measure Whether It’s Working?
How Do You Measure Whether It’s Working?
We establish a baseline in the audit and track it continuously against a defined prompt set built from your real buyer questions.
What we measure:
Mention rate — how often your brand appears for a given prompt cluster, per model. This is the core metric.
Share of voice — your mentions relative to named competitors in the same answers, which shows whether you’re gaining ground or just holding.
Sentiment and framing — whether you’re described as the specialist, one of several options, or a caveat. Framing changes conversion, not just visibility.
Description accuracy — whether the model states your services, markets, and positioning correctly. This is what makes the perception work measurable.
Citation sources — which URLs models pull from when discussing your category, showing exactly where to invest next.
AI referral traffic and conversions — sessions and outcomes attributable to AI assistants, once tracking is configured properly.
On timelines: technical and content fixes usually show up in retrieval-based systems (Perplexity, AI Overviews, search-enabled ChatGPT) within weeks, because those systems fetch live sources. Shifting what a model believes from training data takes longer — typically several months of accumulated third-party signals — since it depends on sources being updated and reindexed.
Expect early movement in a few weeks, meaningful change in three to six months, and durable positioning beyond that. -
Which AI Models and Assistants Do You Cover?
We work across the systems that actually send buyers, and we prioritise based on where your audience is.
ChatGPT — the largest assistant by usage, combining training-data knowledge with live search. Both paths need attention.
Google AI Overviews and AI Mode — reach the widest audience because they appear directly in search results, and they lean hardest on classic ranking and quality signals.
Perplexity — heavily citation-driven and fast-moving, which makes it a useful early indicator of whether content changes are landing.
Gemini — draws on Google’s index and knowledge graph, so entity clarity and structured data carry unusual weight.
Microsoft Copilot — matters most in B2B and enterprise contexts, given its integration with Windows and Microsoft 365.Model-specific behaviour:
Each system retrieves, weights sources, and cites differently. A page that Perplexity quotes constantly may never surface in AI Overviews, and vice versa. We report per model rather than averaging everything into one number that hides the differences.Coverage in your markets:
Assistant usage varies by country and language, and model answers differ across languages even for equivalent questions. If you operate internationally, we test per market — and if you’re expanding, this pairs directly with our International SEO work. -
Does This Replace Our Current SEO?
No. It extends it.
AI systems evaluate the same fundamentals classic search does: crawlability, page quality, topical authority, and trust. A site with technical problems or thin content won’t be recommended by a model any more than it will rank in Google. If your foundations are weak, we start with a technical SEO audit — GEO on a broken site is wasted effort.
What GEO adds is a second layer: entity clarity, off-site source correction, content built for extraction rather than only for ranking, and measurement of what models say about you. Most of our clients run both together, because the work overlaps heavily and the same fixes serve both channels.