SEO vs AEO vs GEO: what each term means and what changes in practice
SEO earns you a place in search results. AEO (answer engine optimization) and GEO (generative engine optimization) are two names for earning a place inside an AI-written answer, and in day-to-day work they describe almost the same job. Most of the effort is shared by all three: a page that crawlers can reach, that sits in a search index, and that says something clear and specific is the raw material for a blue link, an AI Overview and a ChatGPT citation alike.
The differences are real but narrow. They sit in which systems read your pages, which controls apply to each, what counts as a win, and how little reporting you get for the AI side. This page sorts those out so you can run one program instead of three. For the definitions on their own, see the glossary entries for answer engine optimization and generative engine optimization.
Where the three labels came from
The labels are younger than the work. SEO has been the name for search visibility since the 1990s. AEO was already in use when featured snippets and voice assistants started reading one answer aloud instead of listing ten links. GEO arrived with a 2023 research paper that tested how content edits changed a page's visibility in AI-generated answers, and marketers adopted it quickly.
You will also see LLMO, AIO and "AI SEO". None of these has an agreed technical definition, and no search engine uses any of them in its documentation. Google's own guidance for its AI features talks about SEO best practices, not a new discipline. Treat the acronyms as vocabulary, not as separate skill sets you need to hire for.
The work all three share
Nearly every AI answer engine finds pages by searching an index first, then reading the results. Google's AI Overviews and AI Mode use Google's index. Copilot grounds its answers in Bing. ChatGPT search combines OpenAI's own crawling with third-party search providers. Claude's web search lists Brave Search as a provider. So the classic groundwork carries straight over:
- crawl access for the bots that build those indexes;
- pages that are indexed, canonical and not blocked by
noindex; - content that states facts plainly, with named authors and dates;
- internal links that show which pages matter most;
- fast, server-rendered HTML that does not need JavaScript to show its main text.
If a page fails any of these, no amount of AEO or GEO polish helps, because the answer engine never gets as far as reading it.
What actually differs in practice
| Question | SEO | AEO and GEO |
|---|---|---|
| What wins | A page in a ranked list | A passage or fact quoted inside an answer |
| Who reads it | Mostly Googlebot and Bingbot | Those two plus OAI-SearchBot, PerplexityBot, Claude-SearchBot and user-triggered fetchers |
| Controls | robots.txt, noindex, snippet directives | The same, plus per-bot tokens and training opt-outs such as Google-Extended and GPTBot |
| Success signal | Position, impressions, clicks | Citations, brand mentions, accuracy of what is said about you |
| First-party reporting | Search Console, Bing Webmaster Tools | Bing's AI Performance report; Google folds AI features into Web totals; most apps report nothing |
| Stability | Positions change slowly | The same prompt can cite different sources on each run |
Two rows cause most of the confusion. The crawler row matters because training crawlers and search crawlers are separate agents at OpenAI and Anthropic, so a blanket "block AI" rule can remove you from answers you wanted to be in. The reporting row matters because you cannot manage AI visibility from Search Console alone. Our page on measuring AI visibility covers the workarounds.
How to split your time
Run one content program and add an AI checklist to it, rather than creating a parallel "GEO content" stream. A practical split for most WordPress sites:
- Fix the shared base first. Indexing problems, thin pages and blocked resources hurt every channel at once.
- Audit crawler rules once a quarter. Check that robots.txt, your CDN and any security plugin let the search agents of each engine through. The robots.txt generator builds a file that keeps training and search agents apart.
- Rewrite your top pages for extraction. Answer first, one question per section, specific numbers and conditions.
- Add a monthly prompt check alongside your usual rank tracking.
How the balance shifts depends on the business. A local plumber gets more from an accurate Google Business Profile than from any page rewrite, because spoken and AI answers about "near me" services lean on listing data. A store gets more from a clean product feed. A publisher or SaaS company gets the most from reference pages that competitors cannot copy. The AEO strategy page turns this into a plan.
Why these pages still say rank
People search for "how to rank in ChatGPT", so that is the phrase in our titles. It is not quite accurate. AI answers do not publish an ordered list of sources, and the set they cite changes between runs, users and follow-up questions. The honest goal is to be eligible, to be retrievable, and to be the clearest source for a specific claim. That is something you can work toward and measure over time, but nobody, including us, can promise a citation.
Common questions
Do I need a separate AEO or GEO agency?
Usually not. The work is mostly SEO fundamentals plus a crawler audit, answer-first rewrites and a prompt-testing routine. A competent SEO or in-house editor can add those steps to an existing program.
Is GEO replacing SEO?
No. AI answer engines retrieve pages from search indexes, so ranking and indexing remain the entry ticket. GEO adds attention to how quotable a page is once it has been retrieved.
Which term should I use with clients?
Use whichever they searched for, then explain the overlap. Many teams say AEO for all AI answer work because it also covers featured snippets and voice replies.