What SEO services for AI (GEO) mean, and why it's not just SEO under another name
SEO services for AI, sometimes shortened to GEO (Generative Engine Optimization), mean optimizing a site to be used as a source when someone gets an answer generated by an AI system, not just a list of links. The difference is structural: on classic Google, you win by appearing in the top positions of a visible list. In an AI answer, you win if a fragment of your page gets picked, summarized and cited — regardless of whether that page would have ranked first in a classic search.
Tested directly on terms like "AI agency Romania", none of the engines checked — Bing with its own AI box, Google, DuckDuckGo — cited a single Romanian AI consultancy with a real client portfolio; instead, small agencies with bare-bones profiles and directory sites showed up. The practical conclusion: the ground is winnable, but it doesn't happen automatically for anyone — it takes deliberate work building the entity and the right content.
How ChatGPT, Google AI Overviews and Claude choose what to cite
Every major AI system relies on a different data source. ChatGPT combines OpenAI's own index with Bing; public data shows that a top-three position on Bing predicts a citation in ChatGPT in only around 7-8% of cases — being indexed on Bing is necessary, but far from sufficient. Google AI Overviews works differently: it breaks the question down into several sub-questions and searches for answers to each one separately, which explains why only around 38% of cited sources still come from the classic organic top 10 today, compared with 76% eight months ago.
Claude uses Brave Search as its underlying search engine — a study of around 35,000 citations found a 79.2% overlap between what Claude cites and Brave's top 10, versus only 34% overlap with Google's top 10. In practice, ranking well in Brave Search matters for visibility in Claude far more than most companies would assume, precisely because almost no one optimizes for it deliberately.
What types of content AI engines cite most often
Three formats show up consistently in AI citation analyses: comparison pages (table-style, with clear criteria in rows), pages that transparently explain a price or a cost range, and glossaries — pages that define a term completely and self-sufficiently, without assuming the reader needs any further context. All three have something in common: they're “semantically complete” — they answer a specific question in full, without sending the reader elsewhere for half the information.
Content with a named author and a verifiable profile gets roughly 2.3 times more citations than anonymous content, according to an analysis published in 2026. FAQPage schema lost its special visual display in Google as of May 2026, but it remains perfectly valid technically and continues to be read by Bing, Perplexity and other crawlers — because question-and-answer pairs are easy to extract automatically, whether or not there's still a visual highlight in classic results.
Why it matters to be a recognized “entity,” not just a website
AI engines don't just read text, they try to identify who's actually behind it — a real organization, with a verifiable track record, not an anonymous website. Technically, that's built through Organization or ProfessionalService structured data on the homepage, with a list of linked profiles: the company's LinkedIn, the founder's profile, a Crunchbase profile, the Google Business profile. This profile-linking property is what ties a company's scattered mentions together into a single “entity” recognized by Google and, by extension, by any AI that relies on the Google or Bing index.
An additional step, almost mandatory in 2026 for solid recognition: a Wikidata entry, which feeds directly into both Google's and Bing's knowledge graphs. It requires verifiable data — legal name, founding date, registered address, at least two independent external sources confirming the information — which is why many small companies skip this step, even though it's exactly what they're missing to become citable.
Why robots.txt matters for AI bots, separately from classic Google
A site's robots.txt file states which bots are allowed to read it. Many AI bots aren't explicitly listed there, which doesn't mean they're blocked — they fall under the general rule — but it does mean no one has clearly “invited” them. There's a useful distinction to make: retrieval/answer bots, like the ones ChatGPT or Perplexity use to find live sources for a question, are exactly the ones generating citations today. Model-training bots are a different category, with long-term implications, not immediate citations.
A “llms.txt” file, proposed as a new standard for guiding AI bots, has turned out in practice to be almost completely ignored — an analysis of 137,000 domains with such a file found that 97% of them never received a single request for it. It's worth adding as a twenty-minute, no-cost gesture, but not as a real visibility strategy — correctly configured robots.txt and structured data matter far more.
The real first steps for a small company, in order of impact
Not all the actions below need a big budget — most need time and the discipline to implement them correctly, once, not a recurring monthly expense. The order below matters: the technical steps at the start of the list build the foundation everything after rests on, including the content pages published later. Skipping straight to the last step without the first ones usually results in good content built on an incomplete technical foundation.
- 01Add complete structured data (Organization/ProfessionalService) to the homepage, with the company's linked profiles
- 02Check and update robots.txt with explicit rules for AI retrieval bots, not just for Googlebot
- 03Claim and complete your Google Business Profile with data identical to the rest of the internet
- 04Publish at least one comparison page and one glossary page on your core topic, written as complete, self-contained answers
- 05Add a named author, with a real profile, to your important content — not content published anonymously
How to know if it's working, without expensive tools
Free, manual measurement is the first step before any paid subscription: pick five or six questions a real customer would ask about your service, then run them once a month in ChatGPT with search enabled, in Perplexity, in Gemini, directly on Google (check whether an AI box appears and who's cited), and in Copilot. Note whether your company shows up, who shows up instead if it doesn't, and whether any of your content gets cited even without being named explicitly.
Since 2026, Bing Webmaster Tools has offered a dedicated AI performance panel, free for any verified property — the only free, first-tier tool that shows real citations, not estimates based on guesswork. As a first tool, it's a more useful step than any paid subscription, especially before you have your own monthly comparison baseline built up by hand. Only after a few months of steady tracking does it make sense to also consider a specialised paid tool, if the budget really allows it. How we apply these steps to a company's website is described on the SEO for AI page.
Sources and further reading.
- 01Google — How sources are selected for AI Overviews and AI Mode
- 02Google Search Central — Structured data documentation
- 03Perplexity Help Center — How Perplexity follows robots.txt
- 04Profound — How Claude's web search works
- 05Digital Applied — Real data on llms.txt adoption in 2026
- 06Schema.org — standard structured data vocabulary
Frequently asked questions
What do SEO services for AI (GEO) mean?
SEO services for AI, or GEO (Generative Engine Optimization), mean optimizing a site to be used as a source by systems like ChatGPT, Google AI Overviews or Claude when they generate an answer, not just to appear in a classic list of links.
Does GEO replace classic SEO?
No. Classic indexing stays the foundation — most AI engines rely, directly or indirectly, on the Google or Bing index. GEO adds requirements on top of classic SEO — complete, self-contained content, solid structured data and a clear entity identity — it doesn't replace it.
Why does it matter if ChatGPT or Perplexity cite me?
More and more people ask commercial questions directly in an AI chat, instead of running a classic search and comparing several sites. If your company is never the source behind such an answer, you stay invisible at exactly the stage where the person is already comparing vendors.
What is llms.txt, and is it worth implementing?
It's a text file proposed as a guide for AI bots, similar to robots.txt. Data from 2026 shows it's almost completely ignored by the major AI engines — worth adding as a minor, free gesture, but not treated as a real visibility strategy.
How do I check whether my company shows up in AI answers?
Manually ask the same few commercial questions in ChatGPT, Perplexity, Gemini, Google and Copilot once a month, and note who's cited. For Bing, and partly for ChatGPT, the AI performance panel in Bing Webmaster Tools gives real data, for free.
What is an “entity” in the context of GEO?
An entity is an organization recognized as such by search engines and by Google's knowledge graph, through structured data and linked profiles (LinkedIn, Crunchbase, Wikidata). A company without this linking stays just another website, hard to tell apart from similar ones.
Let's see what can be automated in your business.
A free 30-minute session: we'll tell you what can be automated, how long it takes and what it costs, with a fixed price after discovery.