For two decades the goal was a rank: get your page into the top few blue links and win the click. Generative Engine Optimization (GEO) plays a different game. When a buyer asks ChatGPT, Gemini, or Perplexity a question, there is no page of links to rank on — there is one synthesized answer, and the only question that matters is whether your brand is in it.
That difference is bigger than it sounds, and treating GEO as "SEO with a new acronym" is the most common way to get it wrong.
What carries over
GEO is not a clean break. The fundamentals that always rewarded clarity still help:
- Crawlability and speed — if a model's fetcher can't reach or render your page, nothing else matters.
- Structured data — the schema you may have added for rich results (
Organization,Product,FAQPage) is exactly what assistants parse to understand you. - Genuine expertise — substantive, accurate content beat thin content for Google, and it beats it for models, which are trained to prefer well-supported claims.
If you did SEO well, you start GEO ahead.
What's genuinely different
| SEO | GEO | |
|---|---|---|
| Unit of success | a ranked link | being named in the answer |
| What wins | pages, keywords, backlinks | facts, citations, entity identity |
| Format that helps | long pages, internal linking | short, standalone, quotable claims |
| "Who are you?" | implied by your domain | must be explicit and consistent everywhere |
| The competitor set | the other links on page one | every brand the model could have named instead |
Three shifts deserve emphasis:
Atomic claims beat long pages. Models quote short, self-contained sentences — "X cuts onboarding time by 40%" — far more readily than they paraphrase a 2,000-word essay. Write claims that can be lifted out cleanly.
Identity becomes infrastructure. A model has to agree who you are before it will confidently recommend you. That means a consistent entity across your schema, your
sameAslinks, and third-party sources (Wikipedia, Wikidata, reputable mentions). Ambiguity gets you left out.You're benchmarked against everyone. SEO is positional — you beat the other results on the page. GEO is a recall problem — the model either thinks of you or it doesn't, out of every option it knows. "Share of voice" across AI answers becomes the metric.
What to do differently
- Make your key facts quotable. Convert vague positioning into short, specific, data-bearing sentences. Add an FAQ of atomic Q&As.
- Nail your entity. Consistent name, description, and
sameAseverywhere; pursue third-party corroboration over time. - Open the door to AI crawlers. Don't block the assistant fetchers in
robots.txt; publish anllms.txtand machine-readable facts. - Measure answers, not rankings. Track whether assistants name you for the queries that matter, and how you compare to rivals.
The bottom line
SEO optimized your page. GEO optimizes your brand's representation inside a model. The work rhymes — clarity, structure, authority — but the target moved from a position on a results page to a sentence in a generated answer.
The first step is knowing where you stand. Run a free Legible report to see how findable, citable, and buyable your brand is to AI today — and exactly what to fix.