If you have spent any time reading about AI search lately, you have run into three letters in different orders: SEO, AEO, GEO. People use them interchangeably, which is a problem, because they point at different work. Getting them straight saves you from optimizing for the wrong thing.
Here is the short version, then the long one. SEO is about ranking in the list of links a search engine returns. AEO is about being named in the synthesized answer an AI gives instead of that list. GEO is another name for AEO. The terms differ, the goal does not: get represented well when a model answers a buyer's question.
SEO: optimizing for the list of links
Search engine optimization is the work you already know. You make pages that Google can crawl, understand, and rank, and you compete for one of the ten blue links on the results page. The buyer reads the list, picks a result, and clicks through to you. The click is the whole point, and your analytics see it.
SEO is not going away. People still search, Google still ranks, and a strong organic presence still drives traffic. But it is no longer the only surface where buyers decide, and a good SEO position does not guarantee you show up where the newer one happens.
AEO: optimizing for the answer itself
Answer engine optimization is about the paragraph a model writes when it does not show ten links at all. A buyer asks ChatGPT or Gemini to recommend a tool in your category, and the model returns a short answer with a few names in it. If you are one of those names, you are in the consideration set before the buyer has visited a single site. If you are not, you do not exist for that buyer, and there is no missing click to notice in your analytics.
That last part is what makes AEO sneaky. SEO failure is visible: you can watch your rankings slip. AEO failure is silent. The model just never says your name, and you have no log of the answer it gave instead.
SEO failure is visible. AEO failure is silent: the model never says your name, and there is no missing click to notice.
GEO: the same work, a different name
Generative engine optimization, GEO, is the term that came out of the research world for getting generative engines to represent you well. In practice it describes the same job as AEO. The foundational paper on the topic, by Aggarwal and colleagues, used GEO, and it found that adding citations, quotations, and statistics to a source could lift its visibility in AI answers by up to about 40 percent. Whether you call it AEO or GEO, that is the work: make yourself the kind of source a model wants to cite.
Side by side
| What it optimizes | SEO | AEO / GEO |
|---|---|---|
| The surface | A ranked list of links | The synthesized AI answer |
| The win | A click to your site | Your name inside the answer |
| Failure mode | Visible: rankings slip | Silent: you are never mentioned |
| Who reads it | Google, Bing | ChatGPT, Claude, Gemini, Perplexity |
| Key levers | Useful pages, links, technical SEO | SEO foundations, answer clarity, evidence, citations, accurate entities |
What to actually do about each
The good news is that the foundations overlap. A crawlable, well-structured, genuinely useful site helps on every surface. The work splits at the edges.
For SEO, keep doing the basics
- ✓Publish content that answers real buyer questions, not keyword filler.
- ✓Keep the site fast, crawlable, and free of broken technical signals.
- ✓Earn links and mentions, which still carry weight.
For AEO and GEO, measure the answer layer
- ✓Measure a stable set of real buyer questions across engines, then preserve recommendation context, citations, competitors, and factual errors.
- ✓Review documented search and user-retrieval access separately from model-training policy.
- ✓Put decision-critical answers, evidence, and links in accessible page content, with structured data only when it accurately matches the page.
- ✓Become worth citing with clear first-hand experience, original data, primary sources, current facts, and useful decision tools.
Bing Webmaster Tools now reports total AI citations, average cited pages, grounding queries, and page-level citation activity. That makes a useful distinction visible: referral visits are one outcome, but citation and answer presence need their own measurement.
Why this matters now, not next year
The practical reason to start now is operational, not a market-size forecast. Wrong answers, absent citations, and competitor shortlists are already observable. A small baseline now gives you a dated starting point and makes future changes measurable.
Google's current guidance is less exotic than the AEO industry often sounds: keep SEO fundamentals healthy, publish unique and valuable content, make important information accessible in text, use strong internal links, and keep structured data aligned with visible facts. Google also says it ignores llms.txt for Search.
The AEO layer begins with a better observation system, not a magic file or a new acronym.