Generative Engine Optimization
Generative Engine Optimization, or GEO, improves a company's source material so AI answer engines can extract and assess it for buyer questions.
AI Engine Optimization (GEO) for companies missing from AI answers.
Your buyers are asking AI tools who can solve a problem like theirs. Generative engine optimization (GEO) checks the answers they receive, fixes the pages and sources behind them, and measures whether your company is named, described, and cited accurately.
Generative answer optimization is the work of making a company’s source material clear enough for generative answer engines to retrieve, understand, and cite. In practice, that means direct explanations of buyer questions, structured data that matches the page, and evidence that supports the claims a model may repeat.
What are generative answer engines?
Generative answer engines are AI systems that respond to a question with a synthesized answer rather than a list of links. ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews are examples.
Someone might ask one of them, “Who can help us implement AI in our CRM?” or “What should we check before hiring an AI consultancy?” The answer may draw on search results, company pages, publishers, public profiles, and community discussion. GEO checks the answer and its citations, then makes the source material clearer where it is weak.
The free AI visibility checker reviews a public HTML page’s company schema, entity links, crawler access and other on-site foundations. It does not measure or guarantee AI citations. An audit then looks beyond the page at real buyer questions and answer-engine results.
What is generative answer optimization?
Generative answer optimization is the practical work behind GEO. Take a buyer question, find the answer an engine gives today, and make the relevant page, evidence, and company description strong enough to support a better answer.
It is not publishing the same keyword list across every page. The measure is what changes in the answer: whether your company is mentioned, how it is described, and which pages are cited. A website check can identify on-site gaps; repeated checks of real questions show whether visibility is changing.
The terms behind an AI visibility review.
LLM SEO
LLM SEO is the buyer-facing label for improving visibility in large language model answers, including ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews.
AI visibility
AI visibility means recording whether a company is named accurately, connected to the right service category, and, where an engine provides citations, linked to the correct canonical URLs.
Prompt measurement
Prompt measurement records the engine, prompt, timestamp, brand mention, rank or order, cited URLs, competitor mentions, and answer snippet for the same prompts over time.
Questions about AI search.
What is AI engine optimization?
AI engine optimization is another name for Generative Engine Optimization, or GEO. It checks whether AI answer engines can find a clear, supported account of what you do, then improves the pages and sources behind the buyer questions that matter.
Where do generative answer engines find company information?
Depending on the engine and prompt, they may draw from search indexes, company sites, publishers, public profiles, reviews, community discussion, and model context. The source mix changes, so we record what each answer actually cites instead of guessing.
Is AI SEO the same as LLM SEO or GEO?
They are labels for the same visibility problem. GEO is the work: clear answer-first pages, crawlable source material, consistent company language, credible corroboration, and prompt measurement that shows how AI systems name and cite you.
Why is my company not showing up in ChatGPT or Perplexity?
Start with the buyer question. Check whether your service page answers it plainly, whether the claim has evidence, and whether your company is described consistently across the sources an engine may use. A GEO review checks the answers and citations before recommending changes.
What is Generative Engine Optimization?
Generative Engine Optimization makes the sources behind your company easier for AI answer engines to understand and assess. The work starts with buyer questions, fixes the pages and evidence that should answer them, and measures whether the answer names and describes you accurately.
How is GEO different from SEO?
SEO measures visibility in search results. GEO checks whether AI-generated answers name, describe, or cite your company accurately. The work overlaps, but GEO measures the answer itself as well as the page that may have informed it.
What should we fix first for AI visibility?
Start with the questions buyers already ask. Make the relevant service page answer one plainly, show the source for the claim, then check whether the same offer is described consistently wherever an engine may verify it. Do not publish generic volume before the question is clear.
How the work runs.
Start with the questions buyers ask
Start with sales calls, support tickets, search-visible questions, and the places buyers discuss the problem. Use their language before you decide what pages need to say.
Write answer-first pages
Answer the question plainly near the top. Then show the evidence, explain the trade-offs, and connect the answer to the service a buyer can actually use.
Create consistent clusters
When a question proves useful, build the supporting pages around it: definitions, comparisons, use cases, and proof. Keep the core terms consistent so the company is easy to identify.
Make your company information consistent
Keep company and service information accurate across your site and relevant public profiles. Support it with useful work and credible references, then measure which sources actually appear in AI answers.
Connect visibility to the rest of your business.
AI servicesUse the service map when the buyer pain needs to route into consulting, implementation, integration, or agent development.AI consulting servicesUse consulting when the team does not yet know which AI workflow deserves the first build.AI implementation servicesUse implementation when the workflow is known and the priority is getting the system running in the existing stack.ProofUse proof when the buyer needs evidence of systems, delivery logic, and operating discipline before a call.LLM SEOUse the LLM SEO page when buyers ask about AI search optimization, ChatGPT SEO, AI visibility, and language-model citation signals.AI SEO vs LLM SEO vs GEOUse the guide when buyers ask how AI SEO, LLM SEO, ChatGPT SEO, and GEO fit together before choosing a visibility partner.
Before you book a GEO audit.
Who should invest in GEO first?
GEO is useful where buyers use AI tools to shortlist vendors, compare categories, or ask who is credible. Start when the answers leave you out, describe you vaguely, or cite a source that says less clearly what you actually do.
What does a GEO audit include?
A useful GEO audit records the buyer prompts, the answers and citations they return, then checks the service pages and public sources those answers should be able to use. It ends with changes tied to specific URLs, claims, and sources—not a generic content plan.
How do you measure GEO progress?
Record the same commercial prompts over time: whether an engine names the company, describes the offer accurately, cites the right page when it shows citations, and brings up the right alternatives. Rankings still matter; GEO also measures the quality of the answer.
How does a company get cited by ChatGPT?
Give the engine useful source material: a clear page that answers the buyer prompt, claims it can verify, consistent company language, and crawlable public sources. There is no prompt trick or citation guarantee. Measure the work question by question.
Find out what AI answers say about your company.
Bring the buyer question you care about. We will look at the answer it receives today, the sources it can use, what is missing, and what to measure after the change.