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GEO

What Is GEO? A Plain Definition

GEO, or generative engine optimization, is the work of getting a brand named and linked inside answers from ChatGPT, Perplexity and Google AI Overviews.

By Ibrahem HelalAI-assisted, reviewed by Jeremy Zava3 min read

GEO stands for generative engine optimization: the work of making a brand easy for ChatGPT, Google AI Overviews, Perplexity and similar tools to find, understand and name in a generated answer. It is the AI-era sibling of SEO, aimed at being quoted inside a conversation rather than ranked on a results page.

It sits inside a wider vocabulary that is still settling. The AI search glossary collects the full set of terms — AEO, LLMO, grounding, fan-out — and how they relate to one another.

What does GEO actually stand for?

Generative engine optimization: making content and infrastructure decisions so that generative AI tools can find a brand, read it correctly and choose to name it. The term comes from a 2023 research paper that measured how different kinds of content — statistics, quotations, citations — changed how often a page was used inside a generated answer [1]. The name stuck because it describes the target precisely: a generative engine, not a search index.

The word "optimization" carries over from SEO on purpose. Both disciplines are about removing obstacles between a fact and the system that needs to find it. What differs is the obstacle course: SEO clears a path to a ranked list of links, GEO clears a path to a sentence inside someone else's generated paragraph.

That paper also found that fluent writing, named quotations and cited statistics each independently raised how often a page got used [1]. None of those three things is a ranking factor in the SEO sense — Google does not score a page higher for having a pull quote — but each one makes a passage easier for a model to lift cleanly, which is the actual mechanism GEO is trying to influence.

How is GEO different from SEO?

They share a foundation — a crawlable site, clear writing, real authority — and diverge in what "success" looks like and how many systems have to be satisfied.

SEO and GEO, side by side
SEOGEO
One target: Google's indexSeveral targets: ChatGPT, Perplexity, Gemini, Copilot and more
Success is a ranking positionSuccess is a name or a link inside an answer
Measured with rank trackersMeasured by running a fixed prompt set and logging what comes back
Rewards depth and backlink volumeRewards short, quotable, fact-dense passages
One crawler to manage (Googlebot)Several crawlers, each with its own robots.txt rule

A page built well for SEO is usually a reasonable GEO candidate too, because both want a page that loads fast, states its claims plainly and is easy to parse. The gap opens on distribution: an SEO win is one ranking, and a GEO win has to be repeated across every engine that matters to the business.

Which engines does GEO actually cover?

In practice, the handful that answer buying questions: ChatGPT, Google's AI Overviews and AI Mode, Perplexity, Claude, Gemini and Microsoft Copilot. Each reads a different index and prefers a different kind of source, so a page written for one is not automatically visible to the rest.

Google is the clearest example of why this cannot be treated as one job. Its AI features sit inside the same index and crawler that already power ordinary search results, so a page that is blocked, thin or unindexed loses both channels at once rather than just one [2]. That is also the case where GEO and SEO overlap the most: fixing crawlability helps both simultaneously, because the underlying system is the same.

The other engines are further apart. Perplexity and ChatGPT build citations from a mix of live retrieval and third-party mentions, which means a brand can be well optimized for Google and still be invisible in a ChatGPT answer if nobody else on the web talks about it. That is the part of GEO that has no SEO equivalent: earning coverage on pages you do not own.

That is also why the vocabulary fractures into GEO, AEO and LLMO — three names for work that is, underneath, mostly the same list of tasks pointed at slightly different engines. If the acronyms themselves are the confusing part, AI SEO acronyms lines them up next to each other, and what is AEO covers the closest cousin to GEO in detail.

How do you actually start doing GEO?

Start with access, not writing. A page an AI crawler cannot reach cannot be cited, no matter how well it is written.

  1. Audit crawler access

    Check robots.txt and any firewall or bot-protection rule against the current list of AI crawlers, not a blog post about them — the names change.

  2. Fix what only exists after JavaScript runs

    A retrieval crawler that does not execute scripts sees an empty page. Fetch your own pages without JavaScript and confirm the facts are still there.

  3. Write pages that answer one question completely

    Pricing, timelines, specifications — the passages engines lift are self-contained answers, not chapters of a longer story.

  4. Go earn mentions off your own site

    Review platforms, comparison posts and professional directories carry more weight than a brand's own claims about itself.

Building the internal case for spending time on any of this is its own skill, separate from the technical work — explaining GEO to leadership covers how to make that pitch without hype.

Questions people also ask

  • Is GEO the same thing as AEO or LLMO?

    They overlap heavily and people use the three terms loosely. GEO is the broadest and most common label for the discipline; AEO leans on the answer-engine framing and LLMO leans on the model itself, but the underlying work — crawlable pages, clear facts, third-party mentions — is the same set of tasks.

  • Does GEO replace SEO?

    No. Search still sends far more visits than any AI assistant, and a site that is unreachable or unindexed will not be cited either. GEO adds engine-specific work — crawler rules, extractable passages, off-site mentions — on top of a technical and content base that SEO already builds.

  • Can you guarantee a mention in ChatGPT or Gemini?

    No agency can, because nobody controls what a model generates and the answer changes between sessions. What is controllable is whether the crawlers can reach a page, whether the page states facts plainly, and whether other trusted sites mention the brand.

  • How long does GEO take to show results?

    Crawler and page fixes can change what an engine can see within days. Being named or linked in generated answers typically takes two to four months, because it depends partly on third-party pages that are outside a brand's direct control.

  • Who actually does GEO work — a marketing team or an engineering team?

    Both, in smaller pieces than either expects. Engineering opens the right crawlers and keeps content server-rendered; marketing writes the extractable pages and earns the outside mentions. Neither piece alone gets a brand cited.

Sources

  1. GEO: Generative Engine Optimization — Aggarwal et al., KDD (checked 23 September 2026)
  2. AI features and your website — Google Search Central (checked 23 September 2026)

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Who wrote this

Ibrahem HelalCo-founder

Leads strategy and delivery.

Works on: SEO, GEO

Reviewed before publishing by Jeremy Zava, Co-founder.

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