AEO (Answer Engine Optimization) is about being chosen as the direct answer when AI responds to a specific question. GEO (Generative Engine Optimization) is about your brand being mentioned by name when tools like ChatGPT or Gemini give a recommendation. One is about "answering," the other about "being recommended" — and they frequently show up together in a single query.
AEO: getting chosen as the direct answer — an example
Picture someone asking their voice assistant, "What time does the dentist near me close today?" That's a precise, factual question, and the AI has to pick exactly one correct answer. If your clinic's site states its hours clearly — in a structured FAQ or schema markup — the AI picks that answer directly. If the same information is buried in an image or a long paragraph, the AI can't extract it reliably, and a competitor gets picked instead. That's AEO: the ability to be the precise, structured answer.
GEO: getting recommended by name — an example
Now a different scenario: someone asks ChatGPT, "Can you recommend a reliable dentist in my area?" This time the question isn't factual — the person wants a recommendation. The AI weighs multiple sources — your website, map listings, reviews, directories, social mentions — to work out which brand is trustworthy and frequently mentioned, then names a few. If there isn't enough consistent, positive, specific information about your brand across the web — even if your site is technically flawless — the AI simply doesn't "know" you well enough to recommend you. That's GEO: the ability to make it onto that recommendation list.
Side-by-side comparison
| Aspect | AEO | GEO |
|---|---|---|
| Type of question | Precise, factual ("when", "how much", "where") | Choice/recommendation ("who's best", "what would you suggest") |
| Goal | Be chosen as the direct answer | Be mentioned/recommended by name |
| Main lever | FAQ structure, schema markup, concise answer blocks | Entity consistency, third-party mentions, citation-worthy content |
| Typical surface | Voice search, quick-answer boxes | ChatGPT, Gemini, Perplexity |
| Success metric | Frequency of being the chosen answer | Share of voice in recommendation lists |
In practice, they run together
The split above is a bit artificial — in real use, the line blurs fast. Someone asking "Which marketing agency in my city is actually good, and what do they charge?" is triggering both GEO (recommendation) and AEO (a factual detail) in a single question. AI often answers both at once — naming a brand (GEO), then stating a fact about it (AEO). That's exactly why it makes more sense to build this as one strategy rather than two separate projects.
Which one should you tackle first?
If your business fields mostly operational questions — hours, pricing, location, service details — start with AEO: FAQ structure and schema markup are faster and cheaper to roll out. If your business depends more on trust and reputation — clinics, law firms, B2B services — prioritize GEO, since customers are often asking "who can I trust" directly. Most businesses end up needing both in parallel, since the same audience asks both types of questions.
Why Google doesn't treat this as two separate disciplines
Google's own position is that AEO and GEO aren't a brand-new field — they're a natural extension of classic SEO principles: clear content, technical trustworthiness, consistent entities. In practice, both are built on the same foundation: well-structured, fact-rich content plus a technically sound site. Selling them as two separate services creates an artificial split — it makes more sense to treat both as one unified strategy.
A quick way to check where you stand
The easiest way to compare the two: ask ChatGPT or Gemini a factual question about your business first ("What are [your business]'s hours?" or "How much does [your service] cost?") — if it answers correctly, AEO is working. Then ask a recommendation question ("Who's a good [your industry] in [your city]?") — if your brand shows up, GEO is working too. If neither works, you need to build both from scratch; if only one is missing, focus your resources there.
Bottom line
AEO is about "the right answer." GEO is about "the right recommendation." Both rest on the same foundation — clear content, schema, and a consistent, trustworthy entity — and differ mainly in what kind of question triggers them. When building your AI SEO strategy, plan for both together rather than as separate tracks — SEONER's AI SEO service covers both in one plan. For the wider context — what it actually takes to show up in AI tools at all — see What Is AI SEO?.