Insight · 5 min
SEO, AEO, and GEO are one system
The industry sells three acronyms as three products. They are three views of one question: when a person asks, which source is trusted with the answer?
Retrieval, extraction, citation
SEO is the retrieval layer. If a URL is not crawled, canonical, and indexable, it cannot rank, and it usually cannot be cited. Answer engines and generative engines still read a corpus. A broken index is a broken citation strategy.
AEO is the extraction layer. Featured snippets, People Also Ask, and AI Overviews select a passage, not a brand. The passage has to answer the question in the HTML, match the intent, and carry something a machine can check: a definition, a number, a condition, a comparison. Schema helps when it restates visible content. It does not rescue a vague page.
GEO is the citation layer. ChatGPT, Perplexity, Gemini, Claude, and Copilot compose an answer and attach sources. They prefer claims that are specific, stable, and allowed to be fetched. A mention in a paragraph is not a citation. A citation without a link still shapes the answer. Both can be counted, and they are not the same number.
Is GEO just SEO with a new name?
Mostly, at the bottom of the stack, and no, at the top. The objection deserves a fair hearing first, because Google now makes it in writing.
Google’s guide to optimizing for generative AI features, published in May 2026 and last updated in July, says that “from Google Search’s perspective, optimizing for generative AI search is optimizing for the search experience, and thus still SEO.” It says AI Overviews and AI Mode are “rooted in our core Search ranking and quality systems” and that they “highlight content from our Search index.” There is no second index to get into. Google lists llms.txt files, special markup, Markdown copies, “chunking,” and inauthentic mentions as things Search ignores or discounts. Read that way, a GEO retainer is an SEO retainer with a new invoice line, and some of the tactics sold under the label are the ones Google has just named.
That view is right about the foundation. Four things do not change:
- Retrieval. Every engine answers from pages it can reach. Google grounds on its Search index, and Bing grounds Copilot on its own. A page that is blocked, noindexed, or unreadable without JavaScript is absent everywhere.
- Crawl and access. The crawl is still a request someone has to allow. The AI products add their own tokens, covered in robots.txt for AI crawlers, but the mechanics are the old ones.
- Index and canonicals. The URL that gets cited is the one the index chose. Duplicate pages split the claim the same way they split rankings.
- Quality. Google’s generative features depend on its ranking systems and its spam systems. There is no AI-only exemption from either.
Five things change, and they are what a buyer is paying to have measured.
- Extraction into passages. A ranking rewards a page. An answer lifts a sentence or a paragraph and drops the rest. The page can rank and still contribute nothing, if no passage on it answers the question on its own.
- Citation selection across fan-out. Google defines query fan-out as “a set of concurrent, related queries generated by the model.” The sources come from the sub-queries, not only from the query the user typed, so ranking for the head term does not settle who gets cited. Google also warns that writing a page for every fan-out variation, mainly to manipulate results, falls under its scaled content abuse policy. Coverage has to come from pages that deserve to exist.
- Off-site corroboration. Google says its AI features “can show what’s being said about products and services across the web, including in blogs, videos, and forum discussions.” Ahrefs’ correlation study of 75,000 brands found branded web mentions tracked AI Overview visibility far more closely than backlinks did (0.664 against 0.218). A 2026 study of 167,551 citations across 128 brands found 85.7% pointed at sites the brand does not own. Correlation is not cause, but the pattern is consistent: what others say about you carries more of the answer than it carried of the ranking. That is the subject of why AI cites third parties.
- Run-to-run variance. A rank tracker records one position per query per day. A generated answer is sampled, and the next run can differ. A 2026 paper on measuring AI search visibility notes that “answers can vary across runs, prompts, and time,” so a single check is an anecdote. Visibility has to be reported as a share of runs.
- Measurement without a Search Console. Google’s Generative AI performance report shows impressions for AI Overviews and AI Mode, with no queries or clicks. Bing Webmaster Tools counts Copilot citations. ChatGPT, Perplexity, Claude, and Gemini give site owners no equivalent. For those engines the record is the one you build, which is why measuring AI visibility is a method, not a report you download.
So the honest answer is narrower than either camp. For Google’s surfaces, Google is correct: the work is SEO, done with attention to passages and sub-queries. Across the other engines, the inputs are mostly the same and the selection and the scoreboard are not. The definitions and the comparison are set out in SEO vs AEO vs GEO. The argument here is only that the differences are real enough to measure separately, and too small to justify a separate team.
One query universe
A commercial query belongs to SEO. The question form of that query belongs to AEO. The research form belongs to GEO. One page can serve all three when it is structured. Most pages serve none of them well, because each team was handed a different spreadsheet.
Build the list with someone who sells. Four intents are enough: commercial, definitional, procedural, comparative. Keep it finite. A thousand-row export that nobody has read is not a universe.
What separate workstreams produce
One team writes for a keyword. Another writes “for AI.” A third publishes a PDF the crawlers never see. The ranked URL, the extracted passage, and the cited source become three different pages, and the buyer meets the weakest of them.
The useful operating rule is sequential. Make the right URL retrievable. Give it a passage worth lifting. Put a claim on it that a generative engine can reuse, with a date and a method. Then watch all three scores from the same list.
A GEO program pasted onto a site that cannot be indexed will produce a confident slide and an empty log. An SEO program that never checks what the overview quotes will celebrate the wrong URL. The work is one system because the buyer’s question is one question.
Sources
- Optimizing your website for generative AI features on Google Search — Google Search Central, accessed 2026-11-08
- A new resource for optimizing for generative AI in Google Search — Google Search Central Blog, accessed 2026-11-08
- An analysis of AI Overview brand visibility factors (75K brands studied) — Ahrefs, accessed 2026-11-08
- How large language models source brand reputation across languages and markets — arXiv, accessed 2026-11-08
- Don’t measure once: measuring visibility in AI search (GEO) — arXiv, accessed 2026-11-08
- Introducing Search generative AI performance reports in Search Console — Google Search Central Blog, accessed 2026-11-08
- Introducing AI Performance in Bing Webmaster Tools public preview — Microsoft Bing, accessed 2026-11-08