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GEO vs SEO vs AEO: what is different, and what is the same work

Three acronyms now sell the same promise: be found when people ask a question. This guide sorts out what each one means, where they genuinely differ, and where the work is simply the same.

Reviewed by Milan ShyamalUpdated 12 Nov 20264 min read

The short answer

What is the difference between GEO, SEO and AEO?

SEO earns visibility in search results, AEO shapes pages so a clear answer can be lifted, and GEO aims to be mentioned in generative AI answers. Most of the work overlaps. Google says its AI features follow the same SEO basics, so the labels differ more than the tasks.

Key takeaways
  • SEO, AEO and GEO are labels on overlapping work, and they are not separate disciplines with separate rulebooks.
  • Google says AI features follow the same SEO best practices and need no special markup or files.
  • The real differences are the surface (links against answers), what you measure and which crawlers you allow.
  • No engine publishes how it picks sources, so promises of citation are guesses.
  • Do the shared work first: clear answers, accurate facts, named authors and crawlable pages.

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SEO, AEO and GEO compared

A plain comparison. The labels are industry terms, not engine terms.

Our own comparison, not market data.
PointSEOAEOGEO
AimRank pages in search resultsBe the source of a clear answerBe found and mentioned by generative AI tools
Typical outputA ranked linkA quoted answer, with or without a linkA mention or citation in a generated answer
Shared workHelpful pages, accurate facts, named authors, crawlable and fastThe sameThe same
Extra checksTitles, links, technical healthDirect answers near the topCrawler access per engine; consistent facts across the web
MeasureClicks, positions, conversionsAnswer appearances, conversionsCitations, mentions, conversions

The terms come from different moments. SEO is the long-standing practice for search results. AEO describes writing for answers. GEO describes aiming at generative AI tools. None is an official standard.

Our glossary defines the newer terms in plain words, for example answer engine optimization; this guide compares them and says what to do about the overlap.

What does each term mean?

  • SEO (search engine optimization): improving a site so that search engines can find, understand and rank its pages in the ordinary results.
  • AEO (answer engine optimization): writing and structuring pages so a search engine or assistant can lift a clear answer from them. See our AEO entry.
  • GEO (generative engine optimization): making a brand and its pages easier for generative AI tools to find, understand and mention. See our GEO entry.
  • LLM SEO and AI SEO: other names for much the same thing. AI SEO can also mean using AI tools to do SEO work, so check which one a person means.

None of these is defined by a search engine. They are industry labels, and different people draw the lines in different places. That is why advice under these names often contradicts itself.

What is the same work?

Google says that its AI features in Search follow the same SEO best practices, that there are no additional technical requirements, and that no special markup or AI text files are needed. Its May 2025 post lists the advice: unique, helpful content, a good page experience, no accidental blocking of Googlebot, accurate structured data, and attention to the overall value of visits.

In practice the shared work is the larger part: pages that answer the question, facts that are accurate and dated, named authors, fast and readable pages, sound internal links, and a site that search crawlers can reach. A business that does these well has done most of what any of the three labels asks.

What is genuinely different?

Four things differ, and they are about emphasis and measurement more than technique.

  • The surface. Classic SEO aims at a ranked list of links. AEO and GEO aim at being the source an answer is built from, which may be shown with a link or may not.
  • The crawlers. Each engine has its own. OpenAI documents OAI-SearchBot for ChatGPT search and a separate GPTBot for training. Perplexity documents PerplexityBot for surfacing and linking sites. Google uses Googlebot. Decide on each one separately.
  • The measurement. Rankings and clicks are less complete when an answer ends a search. Pew Research found clicks on a result link in 8% of visits with an AI summary, against 15% without. So calls, sign-ups and mentions matter more.
  • Off-site presence. Generative tools may draw on what is said about a business elsewhere. The engines do not document this, so treat it as plausible and untested, and keep company details consistent everywhere as ordinary good practice.

Sources for the crawler points: OpenAI and Perplexity, read 12 November 2026. Pew Research: 22 July 2025, read 8 November 2026.

Which one should you invest in?

Start with the shared work, because it helps every label. If your site is slow, thin, hard to crawl or inconsistent about basic facts, no acronym will fix that. Our technical audits find these faults.

Then add the AI-specific layer: check which crawlers you block, make your key pages answer first, and set up measurement beyond clicks. Our guide to tracking AI search visibility shows how. The pillar guide on how to optimize for AI search covers the engines one by one.

What should you be careful about?

Be careful with anyone who sells GEO as a separate secret system, promises citations in named tools, or quotes exact ranking factors for a model. The engines do not publish them. Be careful too with mass-producing pages to cover every question: Google's spam policies treat many pages made mainly to manipulate rankings as scaled content abuse, whether or not AI wrote them.

Conclusion

SEO, AEO and GEO describe overlapping work with different emphasis. Do the shared work first, add crawler and measurement choices for AI engines, and ignore promises that rest on unpublished rules.

PromotEdge International is an international strategy, technology, marketing and design company, and our delivery team is in India. See our AI search service.

Facts we rely on: see our company facts for what we state about ourselves and where each fact comes from.

Common questions

  • SEO aims to rank pages in search results, while GEO aims to make a brand and its pages easy for generative AI tools to find and mention. The work overlaps heavily, and Google says its AI features follow the same SEO basics as before.

  • They overlap but are not identical. AEO is about writing pages so a clear answer can be lifted by search engines and assistants, while GEO is about being found and mentioned by generative AI tools. Neither is an official standard, and people draw the lines differently.

  • You need the shared work first, which SEO already covers. Add the AI-specific checks: which crawlers you allow, whether key pages answer first, and whether you measure calls and mentions as well as clicks. A separate GEO program is rarely needed.

  • Google's documentation (read 12 November 2026) says its AI features follow the same SEO best practices and need no additional technical requirements, special markup or AI text files. It does not describe a separate GEO practice.

  • No. OpenAI documents which crawler surfaces sites in ChatGPT search, but it does not publish how pages are chosen for answers. Any provider promising a mention is guessing, so judge the work by access, clarity and measured outcomes.

  • To appear in an engine's search results, allow its search crawler: OAI-SearchBot for ChatGPT search and PerplexityBot for Perplexity are the documented ones. Training crawlers such as GPTBot are a separate decision about how your content is used.

Sources

Each figure in this guide comes from one of these, read on the date shown.

  1. Google Search Central: AI features and your website, read 12 Nov 2026
  2. Google Search Central blog: succeeding in AI search, 21 May 2025, read 12 Nov 2026
  3. OpenAI: bots documentation, read 12 Nov 2026
  4. Perplexity: bots guide, read 12 Nov 2026
  5. Pew Research Center: Google users and AI summaries, 22 Jul 2025, read 8 Nov 2026

Brands we have worked with

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