AEO vs SEO (and GEO): What Changes, What Carries Over

AEO and GEO are SEO's second scoreboard, not its replacement. SEO makes a page eligible to be retrieved; the new work decides whether an engine chooses it. Crawl access, helpful content and trust carry over. Prompt-level measurement, third-party proof, quotable passages and per-engine testing are new. Chasing hidden AI "rankings" and publishing near-duplicate pages should stop.

AEO (answer engine optimization) and GEO (generative engine optimization) are two names for one practice: improving how often AI answers name and cite you. Some writers split them; for an SEO team the work overlaps almost entirely, so we write "AEO/GEO" (definition).

What is the real difference between AEO/GEO and SEO?

SEO competes for a position in a list that people click through. AEO/GEO competes to be named and cited inside an answer the engine writes itself. Crawling, content and trust are shared; what you win, what you can observe and where the proof lives are not.

Clicks change too. In Pew Research Center's browsing study of 900 US adults (March 2025), people clicked a traditional result in 8% of visits when Google showed an AI summary and 15% when it did not, and clicked a link inside the summary in 1% of those visits.

What carries straight over from SEO?

Everything that makes a page eligible to be retrieved: crawl access, indexable text and content people trust. Google's documentation (updated December 2025) says the best practices for SEO remain relevant to Google AI Overviews and AI Mode, with no extra requirements beyond a page being indexed and eligible to show a snippet.

• Crawl access, CDN included. Google's list says crawling must be allowed "in robots.txt, and by any CDN or hosting infrastructure". In AEOeye's crawler access study (384 well-known sites fetched once in October 2026; not a random sample), one site, Reddit, disallowed Googlebot or Bingbot at the homepage, while 37 (9.6%) disallowed at least one AI retrieval bot: 27 of 38 publishers but 1 of 193 SaaS sites. Another 24 of 88 e-commerce homepages challenged our self-identified crawler, something robots.txt never reveals.
• Trust and indexing. Google's people-first guidance still calls trust the most important E-E-A-T quality, and a page Google has not indexed cannot be a supporting link in its AI features. That is also why SEO is not dead.

What is genuinely new for an SEO team?

Four things have no direct SEO equivalent: measuring by prompt, earning proof on third-party pages, writing passages that stand alone, and testing each engine separately.

Why can't you track an AI ranking?

Because answers change between runs, there is no stable position to track. In SparkToro's study with AI-tracking startup Gumshoe.ai (600 volunteers, 2,961 runs, late 2025), the chance that two responses to one prompt from ChatGPT or Google's AI contained the same list of brands was under 1 in 100. The authors still judged visibility percentage across dozens to hundreds of prompts, run repeatedly, a reasonable metric.

Google counts AI features inside the Web search type of Search Console. Bing's AI Performance report (public preview, February 2026) shows citation counts for Copilot and Bing summaries. For other engines, sample answers yourself.

Why do third-party pages matter more?

Because AI engines lean on independent sources more than Google does. In a September 2025 preprint that sent ranking-style prompts to Google and a search-enabled GPT-4o, 72.7% of domains cited for US software-product prompts were earned media (reviews, comparisons, independent publishers), against 45.4% in Google's results. Only 15% to 33% of top-five domains matched Google's in the product categories it reports.

For link builders, the target list becomes the review and comparison pages engines cite for your prompts, and their access rules matter. As of October 2026, OpenAI says sites that disallow OAI-SearchBot will not be shown in ChatGPT search answers, and 11 of 38 news publishers in our study did. Check an outlet's robots.txt before paying for a placement.

What makes a passage quotable?

A quotable passage answers one question completely, with specifics, so it still makes sense lifted out of the page. "Flexible pricing for every team" gives an engine nothing to quote; a sentence with the plan, price, billing period and date does. Engines retrieve sources, then write from them, and Google's AI features may also use query fan-out, running related searches across subtopics, so your page can be pulled in for a sub-question nobody typed.

In the peer-reviewed GEO study (KDD 2024), adding statistics, quotations or cited sources lifted a source's visibility by 30% to 40% on one measure in a research-built engine, while keyword stuffing did not help. The authors did not test effects on search rankings.

Do all engines behave the same way?

No. Each has its own source habits, so test them one at a time. In the preprint's consumer-electronics test, Claude and GPT drew about 94% of cited domains from earned media, while Perplexity drew about 53%, with roughly 32% brand-owned and 15% social. Those were 2025 models, so re-test.

What should SEO teams stop doing?

Stop tracking positions you cannot observe, stop publishing near-duplicate pages, and stop reaching for AI-only fixes.

• Stop reporting an "AI rank." A single position is noise; report the share of runs that name you.
• Stop publishing near-duplicate pages. On September 24, 2026 we merged 27 duplicates, and on October 3, 2026 another 165 pages into 42 (37 canonical pages plus 5 research hubs). This page is one result: "SEO vs AEO", "SEO vs GEO" and "GEO vs SEO" pages now redirect here. Google calls a redirect a strong signal for the canonical URL and says consolidating lets it merge signals such as links. Our position, not a measured result: one strong page per question serves Google and AI retrieval alike.
• Stop reaching for AI-only fixes. Google says you need no new machine-readable files, AI text files, markup or special schema for its AI features. We publish an llms.txt because it is cheap, not because we have seen it move citations (why).

In what order should you act?

Check access first, measure before you edit, fix pages that already rank, then close third-party gaps. That order stops you rewriting fine pages or paying for placements engines cannot read.

1. Check access. Read robots.txt, then CDN or firewall logs, for Googlebot, Bingbot, OAI-SearchBot, PerplexityBot and Claude-SearchBot. Allow the search bots; decide training bots separately. Our own robots.txt blocks none of these bots from public pages. The AEO audit checklist covers the rest.
2. Write the prompt set. Draft a few dozen real buyer questions from Search Console, sales calls and support tickets, including "best", "vs" and "alternative" ones.
3. Baseline every engine. Run each prompt several times per engine; record whether you are named, where, which competitors appear and which URLs are cited. The free AEOeye audit runs three unbranded buyer questions in ChatGPT; as of October 2026 the $29 report covers five engines and ten questions.
4. Fix pages that already rank. For each prompt that omits you, open the pages the answer cited, then rewrite your matching page: answer first, self-contained sections, dated figures with sources. Merge pages that answer one question.
5. Close third-party gaps. List the review, comparison and community pages engines cite instead of you; earn accurate inclusion on those that let AI search bots in.
6. Re-measure monthly on the same prompts. Change one lever at a time. AEOeye is a snapshot audit, not a daily tracker; for daily tracking across hundreds of prompts, use a dedicated tool.

How do you report AEO/GEO to leadership?

Put three numbers on one page, beside the organic numbers leadership already sees: coverage, quality and outcome. Label every AI figure as a sampled estimate, with prompt count and runs per prompt, and never convert it into a rank.

Outcome will understate influence, because few people click an AI summary's links. Lead with the trend, say what you cannot see, and claim only what the samples support: "we are named in X of Y sampled answers over Z runs, up from last month", not "we rank second in ChatGPT".