AEO vs GEO vs SEO: what actually changes (and what doesn't) for a one-location business

Three acronyms, one budget, and a decision that most one-location businesses get wrong in the same direction: they buy a second version of work they are already paying for. The labels are not nothing — the surfaces really are different — but the differences are narrower than the sales pages suggest, and they are easier to see once you separate what stays the same from what genuinely changes.

What the labels mean in practice

AEO and GEO are the newer labels, and they are usually sold as a pair of opposites that are not actually opposite. Profound publishes a page titled "AEO vs. GEO: Why they're the same thing (and why we prefer AEO)" (https://www.tryprofound.com/blog/aeo-vs-geo, accessed 2026-10-27). Semrush publishes "AEO vs SEO: core differences and how to win visibility in both" (https://www.semrush.com/blog/aeo-vs-seo/, accessed 2026-10-27). Both can be true at once: the labels overlap, and each vendor prefers the label it ranks for.

Google's own position is the least confusing place to start. Its AI optimisation guide says: "From Google Search's perspective, optimizing for generative AI search is optimizing for the search experience, and thus still SEO" (https://developers.google.com/search/docs/fundamentals/ai-optimization-guide, accessed 2026-10-27). The same guide names AEO and GEO, folds both into ordinary SEO, and describes AI Overviews and AI Mode as grounded in the same core ranking and quality systems rather than a separate AI index.

What stays the same

Most of it. Google's guide points at the same fundamentals an SEO has always worked on: unique, non-commodity content rather than generic listicles; solid technical structure and crawlability; accurate local details such as a complete Business Profile; semantic HTML and navigable organisation. Our own measurements point at the same list from the other side: the failures that cost businesses visibility are usually wrong facts, unreadable pages and missing corroboration, not a shortage of acronyms.

A page that ranks well because it answers a question clearly is also a page an assistant can draw on. The reverse is not automatic — ranking is not a citation — but the underlying asset is the same.

What actually changes: four things

1. The unit you count. An SEO report counts positions and clicks. An AI visibility report counts a different object: for a real buyer question, was the business named at all, and was a link to its site cited? A page can rank eighth and be cited, or rank first and be absent. A community analysis on r/AISEOforBeginners argues that only 17% of AI citations come from pages ranking on page one (https://www.reddit.com/r/AISEOforBeginners/comments/1uk6xke/only_17_of_ai_citations_come_from_page_one/, accessed 2026-10-27). Treat that as one poster's analysis, not a peer-reviewed rate, but the direction matches what the surfaces do: they choose sources per answer, not per ranking list.

2. The set of sources that decides it. In a ranked list, your own page is the thing being judged. In a generated answer, your page is one candidate among the sources the model retrieved — map listings, directories, review sites, trade press, and competitors' pages included. In the local market we published, the overviews leaned first on Google's own map listings, then on competing businesses' pages, then on the review and directory sites the answers depend on. The measured business's own site was not among them (how those answers get built). That is the single biggest practical difference for a local business: your self-description carries the least weight of anything the model reads.

3. The failure mode. SEO failure looks like position 8 instead of 3. AI failure can look like "we could not confirm this business exists", or a confident wrong price borrowed from a competitor. In our published sample — a real client run, pseudonymised — the business ranked first among 168 candidate businesses and still scored 46.1/100, because 14 of the 333 claims the answers made about it were wrong (the sample is public). No position tracker shows you that, in either direction.

4. How you verify a change. A rank tracker can be checked weekly against a stable list. An AI answer cannot: the same question gets different answers on different runs. Our method asks each key question three times and counts only three hits out of three as a stable hit; one run is an anecdote with a decimal point (how we measure). That also means small movements are not evidence: a 20-question design with three repeats only reliably detects differences of a few questions.

So why does the market still sell GEO?

Because Google's answer is about Google. Its guide says optimising for its AI features is still SEO, and that is a statement about Google Search's systems. ChatGPT retrieves through its own crawler — OpenAI documents OAI-SearchBot as the crawler that surfaces sites in ChatGPT search results, with its own robots.txt rules (https://developers.openai.com/api/docs/bots, accessed 2026-10-27). Perplexity documents its own crawlers, including one that fetches pages when a user asks (https://docs.perplexity.ai/docs/resources/perplexity-crawlers, accessed 2026-10-27). A site can be perfectly healthy in Google and absent from ChatGPT on the same day.

That split is the honest case for the newer labels: the work overlaps, but the surfaces are separate, and being visible on one does not prove anything about the others. A thread on r/AISEOforBeginners captures both halves of the argument — Google says optimising for AI search is still SEO, while a peer-reviewed study the poster cites found source distributions diverge (https://www.reddit.com/r/AISEOforBeginners/comments/1vn9hyr/google_says_optimizing_for_ai_search_is_still_seo/, accessed 2026-10-27).

The opposite warning is also fair. A thread titled "GEO is just SEO with a new price tag. Please stop paying twice for the same work" (https://www.reddit.com/r/RevUpOnline/comments/1v3amhd/geo_is_just_seo_with_a_new_price_tag_please_stop/, accessed 2026-10-27) is one agency's argument, not a study, but the commercial risk it describes is real: two retainers billing for overlapping work, with neither producing a number you can re-measure.

What to buy first with a small budget

1. Fix the free basics. Crawlability, a complete Google Business Profile, prices and hours stated in plain text. Google's guide is explicit that no special files or markup are required; the ordinary prerequisites are the whole game for the Google surface.
2. Buy one measurement before any retainer. Find out whether the assistants name you on unbranded questions, and whether what they say is true. Our report is $4.99 once — 30 real buyer questions across five live AI surfaces, 176 graded answers, 302 API calls (pricing). Read a complete sample before spending anything, or run the free check to see the questions first.
3. Fix what the measurement found. Usually a wrong fact, a missing service page, or a listing that contradicts your site.
4. Re-measure. Only now does a monthly subscription have a baseline to compare against, and only now can you tell a real movement from noise.

If your SEO already covers crawlability, facts and local listings, you are not starting from zero on the AI surfaces — you are starting from the same foundation with a different scoreboard. Our audit comparison covers what each document contains, and the local SEO audit piece covers the Google-side version. For the definitions themselves, start with what AEO means or what GEO means.

The short version: SEO keeps you findable. AEO and GEO keep you quotable. Same foundation, different scoreboard, and no reason to pay twice for the same repair.

Common questions

Is AEO different from GEO? Mostly no: the two labels describe the same work, and the vendor most associated with AEO says so on its own comparison page.

Is AEO or GEO replacing SEO? No. Google's own guidance says optimising for its AI features is still SEO, and the crawlable, factual pages that rank well are the same pages answers are built from.

What actually changes for a small business? The unit you count changes — a position in a list becomes a mention or citation in an answer — and so does the set of sources that decides it.

Which should I pay for first? Fix the free technical basics, then buy one measurement of what the assistants say before any monthly GEO retainer.

Can I compare an SEO ranking with an AI visibility score? No: they count different things on different surfaces, and neither number converts into the other.

Sources

• Google Search Central, "AI optimization guide" — https://developers.google.com/search/docs/fundamentals/ai-optimization-guide (accessed 2026-10-27)
• Profound, "AEO vs. GEO: Why they're the same thing (and why we prefer AEO)" — https://www.tryprofound.com/blog/aeo-vs-geo (accessed 2026-10-27)
• Semrush, "AEO vs SEO: core differences and how to win visibility in both" — https://www.semrush.com/blog/aeo-vs-seo/ (accessed 2026-10-27)
• OpenAI, "Overview of OpenAI Crawlers" — https://developers.openai.com/api/docs/bots (accessed 2026-10-27)
• Perplexity, "Perplexity Crawlers" — https://docs.perplexity.ai/docs/resources/perplexity-crawlers (accessed 2026-10-27)
• r/AISEOforBeginners, "Google says optimizing for AI search is still SEO. A peer-reviewed study found source distributions diverge" — https://www.reddit.com/r/AISEOforBeginners/comments/1vn9hyr/google_says_optimizing_for_ai_search_is_still_seo/ (accessed 2026-10-27)
• r/AISEOforBeginners, "Only 17% of AI citations come from page one rankings" — https://www.reddit.com/r/AISEOforBeginners/comments/1uk6xke/only_17_of_ai_citations_come_from_page_one/ (accessed 2026-10-27)
• r/RevUpOnline, "GEO is just SEO with a new price tag" — https://www.reddit.com/r/RevUpOnline/comments/1v3amhd/geo_is_just_seo_with_a_new_price_tag_please_stop/ (accessed 2026-10-27)
• SeeWAIS published sample report — https://seewhataisays.com/sample (accessed 2026-10-27)
• SeeWAIS method — https://seewhataisays.com/method (accessed 2026-10-27)