Ask a question today and you might get three completely different experiences. A page of ranked links. A box at the top that answers without you clicking anything. Or an AI that reads a dozen sources and hands you a synthesized paragraph with a couple of citations.
Each of those is a different surface, and each rewards a different optimization discipline. SEO, AEO, and GEO are not competing fads. They are three answers to the question "how do people find and trust information now," and you need a position on all three.
The one-line version
- SEO (search engine optimization): get a page to rank among the links.
- AEO (answer engine optimization): get your content selected as the answer (snippets, voice, People Also Ask).
- GEO (generative engine optimization): get cited inside AI-generated responses (ChatGPT, Claude, Perplexity, AI Overviews).
They overlap, but they are not the same job. Here is what each actually requires.
SEO: what changed and what didn't
Classic SEO is not dead, but it shrank. Zero-click searches, where the user gets their answer without leaving the results page, now account for a large share of queries. The work of ranking still matters because ranking pages are the raw material that snippets and AI citations are pulled from. But ranking alone no longer guarantees a click.
What still works: genuinely useful content, a fast and crawlable site, internal linking, and topical authority built over time. What changed: you can rank first and still get no traffic if an AI summary answers the question above you. So ranking is now the floor, not the goal.
AEO: optimizing to be the answer
Answer engine optimization targets the surfaces that answer directly: featured snippets, the People Also Ask accordion, voice-assistant responses. These surfaces extract a specific, concise answer from a page and present it as authoritative.
To win here, structure your content as explicit question-and-answer:
- Use the actual question as a heading, phrased the way users ask it.
- Answer it in the first sentence or two underneath, concisely, before you elaborate.
- Mark up FAQs and how-tos with schema so the engine can parse the structure.
- Lead with the answer, then support it: the inverted pyramid, not the slow build.
AEO rewards clarity over cleverness. A page that buries its answer in paragraph six loses to one that states it in sentence one.
GEO: getting cited inside AI answers
Generative engine optimization is the newest and the one operators ask about most: how do I get ChatGPT, Claude, or Perplexity to mention me when someone asks about my space?
AI engines synthesize answers from sources and, increasingly, cite a small number of them. The patterns we see in what gets cited:
- Specificity. AI engines preferentially quote claims that are concrete and verifiable, like a number, a defined process, or a named comparison, over vague generalities.
- Structure. Clear headings, defined terms, and clean formatting make content easy for a model to extract and attribute.
- Defensible claims. Content that takes a clear position and supports it gets cited; content that hedges everything gives the model nothing to quote.
- Authority signals. Author credentials, a real organization behind the content, and consistency across the web all raise the odds of being treated as a trustworthy source.
There is also a technical layer. An llms.txt file, clean schema markup, and a crawlable site help AI systems find and parse your content. We treat these as table stakes, not differentiators.
Why all three coexist
It is tempting to declare one of these the winner. Do not. The same user, on the same topic, will sometimes click a link, sometimes accept a snippet, and sometimes trust an AI summary, depending on the query, the device, and how much they care.
More importantly, the three disciplines feed each other. Content that ranks well (SEO) is the candidate pool for snippets (AEO) and the source material for AI citations (GEO). The technical foundation, fast, crawlable, schema-marked, and well-structured, is shared across all three. Abandoning SEO to chase GEO would kick out the foundation GEO stands on.
The strategy is not to pick one. It is to build the shared foundation once, then layer the content practices each surface rewards: rankable depth for SEO, explicit Q&A structure for AEO, specific defensible claims for GEO.
What to do Monday
- Audit your technical foundation: crawlability, speed, schema,
llms.txt. This serves all three. - Restructure your highest-value pages to answer their core question in the first two sentences.
- Add FAQ schema to pages that address real questions.
- Identify the questions an AI would answer about your category, and publish the clearest, most specific source on each.
- Measure citation, not just ranking. Track whether AI engines mention you when asked about your space.
That last point is the real measure of GEO success, and it is the one most teams are not yet watching.
For the broader context on applying AI to your go-to-market, see what is AI enablement and our post-cookie attribution architecture guide.
Native Bridge
Marketing Engineering Team
Written by the Native Bridge team: engineers, strategists, and marketers who ship AI into the stack you already run.