Pillar guide · Updated August 28, 2026

What is GEO?

A practical guide to how brands become understandable, retrievable, and citable in AI-generated answers.

GEO, defined

Generative engine optimization (GEO) is the practice of improving how accurately and often a brand's published information can be used in answers generated by AI systems.

GEO concerns systems such as ChatGPT, Claude, Gemini, and Perplexity when they answer questions, retrieve web sources, or attach citations. It combines content strategy, entity clarity, information architecture, evidence, and measurement.

Important: A page can be technically crawlable and still be difficult to cite. Access is only the first gate. The page must also contain a clear, relevant, supportable answer.

How an AI citation happens

1. A person asks a question

The useful unit of strategy is not a keyword in isolation. It is a question with an implied need, audience, constraints, and decision.

2. The system combines learned knowledge with retrieval

AI systems combine model knowledge with retrieval in different ways. Some products expose a web-search tool that fires only on certain prompts. Really Good GEO treats retrieval behavior as variable per product and per run and designs tests to observe it rather than assume it.

Sources: OpenAI — Web search tool · Anthropic — Web search tool

3. Candidate sources are evaluated (RGG framework)

Really Good GEO's citation-readiness framework treats a source as a plausible candidate when it is accessible, topically relevant, specific enough to resolve the question, and credible enough for the claim being made. This is a diagnostic model, not a description of any specific system's ranking function.

4. The answer is composed

Products differ in how they display citations. OpenAI's web-search tool returns URL citations alongside answers in the API; Anthropic's web-search tool returns citations as part of the tool result. When no citation is shown, absence does not by itself prove that no retrieval occurred — the visibility of citations is a product-UI choice.

Sources: OpenAI — Web search tool · Anthropic — Web search tool

5. The citation is observed (RGG method)

Really Good GEO repeats each citation test across multiple runs so a single observation is not reported as a stable result. A citation observed in one run is an outcome at a moment in time, not a permanent position.

Six properties of a citation-ready page (RGG framework)

The Really Good GEO framework evaluates a page across six properties. These are diagnostic: a page that scores well is a more credible citation candidate, not a guaranteed one.

Direct answerThe core question is answered in a compact passage before the page wanders into background or promotion.
Entity clarityThe page makes clear who the company is, what it offers, who it serves, and how named concepts relate.
EvidenceImportant claims include a verifiable basis: data, method, named source, example, qualification, or first-hand experience.
Question coverageThe page resolves the real follow-up questions a reader would ask, including fit, limits, process, price, and alternatives.
Comparison contextThe page helps a reader understand tradeoffs and category distinctions without pretending the product is always the answer.
Extractable structureHeadings, short passages, lists, tables, and labels make the meaning easy to identify without removing nuance.

GEO, AEO, and SEO are related, not identical

Really Good GEO uses these working definitions: SEO optimizes for visibility in search results. AEO optimizes for direct-answer surfaces (answer boxes, voice assistants, direct-answer engines). GEO optimizes for retrieval, synthesis, and citation inside generated AI responses. The three share foundations — crawlability, accurate information, clear entity naming — and differ in the observed outcome.

SEO outcome

Ranked result

A user sees and may click your page in a search result.

AEO outcome

Direct answer

A search or voice product presents a concise, extracted answer.

GEO outcome

Used or cited source

A generative AI response uses or cites your information while responding.

Measure readiness and reality separately

Readiness asks whether the page contains the ingredients that make it a credible citation candidate. Citation testing asks whether named engines actually surface the brand for representative questions. One diagnoses the page. The other observes the market.

Really Good GEO tests separate branded retrieval from category discovery because they measure different things. “What is Acme?” tests whether an engine recognizes a known brand. “Which tools help distributed finance teams close the books?” tests whether Acme appears in a consideration set for a buyer who did not name the brand.

Where to start

  1. Choose one commercially important page.
  2. Name the buyer question that page should resolve.
  3. Write a two-to-four sentence direct answer.
  4. Add the strongest evidence you can honestly support.
  5. Explain who the offer is and is not for.
  6. Test the page before and after the change.

See what your page is missing.

The Really Good GEO audit scores the page and gives you a prioritized fix.

Run the free audit