SEO vs AEO vs GEO: three names, one pipeline
Three acronyms now compete to describe the work of being found online. Search engine optimization (SEO) is the work of making pages crawlable, indexable and worth ranking in a list of search results. Answer engine optimization (AEO) is the work of becoming a source that an answer engine quotes when it answers a question directly. Generative engine optimization (GEO) is the work of earning citations in answers that AI engines generate. Each has its own chapter in this hub. This page compares them, because most of the confusion in this field comes from treating three views of one pipeline as three separate disciplines.
| Discipline | Optimizes for | Surface | Unit of success | Typical work |
|---|---|---|---|---|
| SEO | Ranking systems | Results page with many links | Position, then click | Technical health, on-page content, links |
| AEO | Answer selection | Direct answer with few sources | Citation in the answer | Answer-first structure, quotable passages |
| GEO | Generated answers | AI chat and AI search features | Citation or brand mention | Quotations, statistics, primary sources |
Where they overlap
The overlap is the pipeline itself. According to Google's AI features guide, AI Overviews and AI Mode are grounded in the core Search ranking systems. A page that is not indexed cannot be retrieved, and a page that cannot be retrieved cannot be cited. The entry ticket is identical everywhere: indexed, crawlable and snippet eligible. Google is equally explicit about what is not required: no special markup, no AI-specific files, and llms.txt is ignored by Google Search. The guide also states that no third-party tool has access to Google's internal systems. How engines pick from the eligible pool is covered in how answer engines choose their sources.
Where they genuinely differ
The overlap does not make the three labels interchangeable. Four differences are real:
- Many results versus few citations. A classic results page lists many links, so visibility is a gradient. A generated answer cites a handful of sources, so being cited is close to binary.
- Pages versus passages. Ranking evaluates the page. Answer engines quote specific passages, so a page can rank well and still contribute nothing if no passage states the answer plainly.
- Clicks versus mentions. SEO counts positions and clicks. In generated answers the outcome is often a citation or a brand mention that the reader sees without clicking.
- Measurement. Rank tracking is mature. Measuring presence in generated answers is not, and the answers themselves are unstable: one study found that query language alone explains 26.5 to 32.0 percent of variance in LLM brand-visibility answers, while brand identity explains 1.5 percent. See measuring AI search visibility.
The naming zoo
The terminology is unsettled, and it is worth saying so plainly. AEO, GEO, LLMO, AIO, "AI SEO" and "search everywhere optimization" all describe overlapping work. GEO has the clearest origin: a 2023 research paper, GEO: Generative Engine Optimization, coined the term and tested it. AEO is older, dating from the era of answer boxes and featured snippets, and was repurposed when chat engines arrived. The rest are mostly positioning. Vendors pick the label that makes their product sound new, so expect the popular term to keep changing. The work underneath does not change with the label, and that work is what this hub documents.
Is GEO replacing SEO?
No. The claim fails on mechanics: generated answers are grounded in search indexes, so removing your SEO foundation removes you from AI answers too. There is no version of GEO that works on an unindexed page.
What is true is that the effort mix is shifting. The GEO paper measured interventions that classic SEO never asked for: adding quotations lifted visibility in generative engine answers by around 41 percent, adding statistics by around 30 percent, and citing sources by around 27 percent, while structure-only changes produced no comparable gains. That is genuinely new work, layered on the old foundation rather than replacing it. The practical playbook lives in how to get cited by AI engines.
Where to invest first
If you are starting from zero, the order of operations follows the pipeline:
- Foundation. Crawlable, indexable, technically sound pages. Start with technical SEO and on-page fundamentals.
- Answerability. Snippet eligibility and answer-first structure, covered in featured snippets and snippet eligibility.
- Citation substance. Quotations, statistics and primary sources, per the citation playbook.
- Measurement. Track what the effort produces, with the caveats in measuring AI search visibility.
Three names, one pipeline. Build the foundation once, then compete for the answer.