SEO vs GEO
For decades, getting found online meant SEO: helping Google’s search engine rank your page in a list of blue links.
Now more and more people ask a Generative AI (ChatGPT, Claude, Google’s AI Overviews, Gemini, Perplexity) to answer their questions instead. GEO is making sure that answer includes you, correctly. SEO competes for a rank; GEO competes for a mention. The businesses that win the next few years will do both.
| SEO (Search Engine Optimization) | GEO (Generative Engine Optimization) | |
|---|---|---|
| Audience | A ranking algorithm | An AI writing an answer |
| You win by | Ranking in the list of links | Being named / cited in the answer |
| Customer sees | 10 blue links, picks one | One answer, often no click |
| Leans on | Keywords, backlinks, speed | Clear facts, structured data, entity clarity, being quoted elsewhere |
| Measured by | Rank position, clicks | Whether the AI mentions you, and gets you right |
The overlap is large. Clean, structured, consistent information (accurate name/address/hours, populated schema, real reviews, a site that plainly states what you do and where) helps you rank and helps an AI represent you. Most GEO groundwork is good SEO done well — the new part is optimizing for being understood and repeated, not just ranked.
Why it matters now: if an AI can’t find you or describes you wrong, you’re invisible to a fast-growing share of customers — and unlike a bad Google rank, you can’t see it happening.
The Terminology
These are multiple terms for similar practice. The genuinely new technical levers are structured data and entity clarity — making machine-readable, unambiguous statements about who you are — because generative models reward being easy to quote accurately.
There is no settled term. Agencies and SEO specialists have adopted GEO, AEO, GSO, LLMO, and AIO for overlapping tactics; We use GEO because ~59% of SEO influencers reference GEO, and fewer than a third kept consistent terminology across the year. Treat these as mostly-synonyms with different emphasis, not distinct disciplines. more at emarketer
| Term | Stands for | Emphasis |
|---|---|---|
| GEO | Generative Engine Optimization | Umbrella term — getting cited/recommended in any generative AI answer (ChatGPT, Gemini, Perplexity, Claude). The most-used label. |
| AEO | Answer Engine Optimization | Subset: being the extracted direct answer — snippets, AI Overviews, voice. Most people use AEO and GEO interchangeably; GEO is technically the larger umbrella. Aeo |
| AEO (collision) | Agent Experience Optimization | Newer, distinct meaning: optimizing for autonomous agents that transact, not just answer. Same acronym, different word — watch for this. |
| LLMO | Large Language Model Optimization | Technical subset of GEO — how LLMs retrieve/cite; RAG-focused. |
| AIO | AI Optimization (or AI Overviews) | Broadest; also collides with Google’s “AI Overviews.” Avoid — ambiguous. |
| GSO | Generative Search Optimization | Rarely used variant of GEO. |
| AAO / “agent-ready” | Agent(ic) Optimization | The commerce/transaction framing — clean APIs, structured data, MCP/A2A/ACP protocol readiness so agents can act, not just cite. |
The honest read from practitioners: whether you call it AEO, GEO, or LLMO, the core objective is the same — content that’s discoverable, trustworthy, and usable by AI systems; as Ahrefs’ Ryan Law put it, GEO is just SEO focused on being included in AI-generated results