AEO vs GEO vs SEO: What's the Difference (and Which to Do First)

SEO gets your pages ranked in a list of links. AEO and GEO get your brand named and cited inside an AI-generated answer. AEO and GEO are overlapping labels for the same practice; SEO is the foundation both sit on.

That is the whole answer. Everything below is the detail: where the labels came from, what actually differs between the three, and — the question founders actually care about — which one to do first when you have one person and a few hours a week.

Key numbers

• AI Overviews link to at least one top-10 organic domain 93.67% of the time (SE Ranking, 7,475 AI Overview SERPs, July 2024) — the two surfaces still draw from the same pool.
• But only 38% of pages cited in AI Overviews rank in the top 10 for the query itself, down from 76% a year earlier (Ahrefs, 4 million AI Overview URLs, March 2026) — the engines increasingly fan out to related queries.
• A top-ranking page under an AI Overview now sees a 58% lower click-through rate than one without (Ahrefs, 300,000 keywords, December 2025).
• Users click a traditional result 8% of the time when an AI summary appears, vs 15% without one; they click a source cited inside the summary just 1% of the time (Pew Research Center, 900 U.S. adults, July 2025).
• Branded web mentions correlate with AI Overview brand visibility at 0.664; backlinks at 0.218 (Ahrefs, 75,000 brands).
• 53.7% of 1,094 US product categories still have no settled "owner" brand in ChatGPT answers (Semrush, 50,000 brands, January–June 2026).

One-line definitions

SEO (search engine optimization) is making pages rank in Google's and Bing's ranked results — the ten blue links, plus the features around them.

AEO (answer engine optimization) is making your content the direct answer an engine gives: featured snippets, People Also Ask, voice assistants, and now the AI answers in ChatGPT, Perplexity, Gemini and Google's AI Overviews and AI Mode.

GEO (generative engine optimization) is making your brand and pages get mentioned, cited and recommended in answers generated by large language models — ChatGPT, Claude, Perplexity, Gemini, AI Overviews, AI Mode.

Read the last two again. The only real difference is scope: AEO's definition predates LLMs and still covers snippets and voice; GEO was coined for generative answers specifically. In 2026, when a vendor says "AEO" or "GEO", they mean the same work.

Are AEO and GEO the same thing?

Close enough that you should treat them as one discipline with two names.

Here is who uses which term, because the split is mostly branding:

• "AEO": HubSpot (its product is literally called HubSpot AEO), Profound (which argues AEO names the behaviour — answering — while GEO names the technology), Rankability, Siteimprove, and most agencies that came from the featured-snippet era.
• "GEO": Semrush, the Princeton/Georgia Tech paper that coined the term in 2023, Wikipedia (which notes there is "no consensus definition"), and most of the newer visibility-tracking vendors.
• "Neither — it's still SEO": Google. Its own guide to optimizing for generative AI features says explicitly that there is nothing special you need to do beyond the SEO fundamentals: crawlable, indexable, useful content with clear structure.

The one distinction that survives scrutiny: AEO, in its original sense, also covers non-generative answers — the featured snippet at the top of a Google result, the answer Alexa reads out. GEO does not claim those. So if you need a rule: AEO ⊇ GEO in scope, AEO = GEO in practice. We use the same framing across our AEO guide and our GEO guide.

What nobody serious argues any more is that either one is a separate discipline you can do instead of SEO.

AEO vs GEO vs SEO: the comparison

Two rows explain most of the confusion. Where you appear is nearly identical for AEO and GEO. Signals that matter is where GEO diverges from classic SEO: the engines are learning what your brand is from other people's pages far more than from yours. That is the 0.664-vs-0.218 finding above — mentions beat backlinks three to one as a predictor.

How much AEO and GEO overlap with SEO

More than the vendor pitches imply, and less than they did a year ago.

The overlap. AI Overviews pull from the same index Google ranks. In SE Ranking's study, 93.67% of AI Overviews linked to at least one domain already in the top ten for that query. If you rank, you are in the candidate pool. If you don't, you mostly aren't — for Google's AI surfaces, at least.

The divergence. Ahrefs' March 2026 update found that only 38% of the pages cited in AI Overviews rank in the top ten for the original query, down from 76%. The reason is query fan-out: the engine breaks your question into several related sub-questions and cites pages that rank for those. So ranking still matters, but for a wider set of adjacent questions than the one the user typed.

The bigger divergence is ChatGPT. Ahrefs' 75,000-brand correlation study found ChatGPT's visibility correlates weakly with classic authority metrics — Domain Rating at 0.266, branded search volume at 0.352 — and strongly with branded web mentions and YouTube mentions (Ahrefs, 75k brands studied). Put plainly: ChatGPT recommends the brands that get talked about, whether or not those brands rank.

What the click data says. Ahrefs measured a 58% lower click-through rate for a top-ranking page when an AI Overview appears; Pew measured clicks on traditional results falling from 15% to 8% of visits when a summary is present. Ranking first is worth less than it was. Being the source the summary cites is worth something — but Pew's 1% click rate on cited sources says the value is the mention, not the traffic.

What each one looks like on one page

Take a single page — say, a guide to choosing payroll software for a ten-person company — and look at what each discipline changes.

SEO decides the page exists and can be found: it targets "payroll software for small business", has a clean URL, a title that says so, internal links from related pages, and loads quickly. Success is ranking for the phrase and its variants.

AEO changes the shape of the page. The heading becomes the question people ask ("Which payroll software is best for a 10-person company?") and the first 50 words answer it directly, with the reasoning below. Success is the engine lifting that answer — into a snippet, a People Also Ask box, or an AI answer — instead of a competitor's.

GEO changes what happens around the page. Your product gets added to the three listicles the engines cite for that query, a founder answers the Reddit thread that ranks second, the G2 profile says the same thing your homepage does, and the page itself gains one original number nobody else has. Success is the engine naming you when someone asks — with or without a click to the page.

Same page, three layers. Only the third one requires work on sites you do not control, which is why it is the one most teams skip and the one with the least competition.

Which to do first, for a startup

You do not have three teams. Here is the order that respects that.

1. SEO fundamentals, once. Crawlable pages, one intent per URL, real titles, a sitemap, fast enough. Google's guide is right that this is the entry ticket for every AI surface Google runs, and Bing's index is what ChatGPT searches through. A day of work, then maintenance. Don't confuse this with "publish 40 blog posts".

2. Answer-first structure on the pages you already have (AEO). Every page that answers a question should answer it in the first 40–60 words under a heading phrased as the question. Search Engine Land's audit of ChatGPT-cited pages found 72.4% opened with an identifiable "answer capsule", and roughly 91% of those capsules contained no links (Search Engine Land, 15 domains, ~2M sessions, November 2025). This is a rewrite, not new content, and it pays across every surface at once.

3. Off-site mentions (GEO). This is the part that is genuinely new and genuinely different from SEO: find the listicles, comparison posts, communities and directories that the engines already cite for your category, and get accurately mentioned there. It is the highest-leverage work for ChatGPT-style answers and the least automatable. Semrush's 50,000-brand study found 53.7% of categories have no settled brand owner yet — for most startups the seat is still empty.

4. Measure, monthly. A fixed set of 15–20 buyer prompts, run in the engines your customers use, logged. Without this you cannot tell whether steps 2 and 3 did anything. How to track AI visibility walks through the free methods.

If you only do one thing this quarter: step 3. It is the only one of the four your competitors are probably not doing.

Where Sightivo fits

Most tools in this space measure (steps 4) and stop. Sightivo runs the prompt set across ChatGPT, Claude and Google AI Overviews, then does the part the label doesn't matter for: it finds the pages those engines already cite for your category, the people behind them, and drafts the outreach. There is a free five-prompt ChatGPT check with no signup, and the app is $99/mo after a 3-day trial. We list ourselves openly in our GEO tools comparison, cons included.

Common Questions

What is the difference between AEO and GEO?

In practice, nothing. Both mean getting your brand and pages cited in AI-generated answers. In strict definitions, AEO is broader: it also covers non-generative answers such as featured snippets and voice-assistant replies, which GEO does not claim. Vendors pick the label that suits their marketing; HubSpot and Profound say AEO, Semrush and Wikipedia say GEO.

Is AEO replacing SEO?

No. AEO depends on SEO. Google's AI features draw from its search index, and SE Ranking found 93.67% of AI Overviews link to at least one top-10 organic domain. What is changing is the payoff: ranking first earns fewer clicks than it did, and being the cited source or the named brand earns influence that never shows up as a click.

Is GEO replacing SEO?

Same answer. GEO adds an off-site layer — earning mentions on the sources engines trust — on top of SEO; it does not remove the need to have crawlable, well-structured pages. Google's own guidance for generative features is that no separate discipline is required beyond the fundamentals.

What does AEO stand for?

Answer engine optimization: optimizing content so that an "answer engine" — a featured snippet, a voice assistant, or an AI system such as ChatGPT or Google's AI Overviews — uses it as the answer. The term predates large language models; it has been stretched to cover them.

Do I need AEO and GEO if I already do SEO?

You need the parts of them that SEO doesn't cover. Answer-first structure (AEO) is a cheap rewrite of pages you already have. Off-site mentions (GEO) are new work: Ahrefs' 75,000-brand data shows ChatGPT visibility correlates with branded mentions at roughly three times the strength of backlinks, and the mentions are not something classic SEO produces.

Which is better, AEO or GEO?

Neither; they are the same work under two names. Choose the label your team and tools use and spend the argument time on the prompt set instead. If a vendor tells you their "AEO" is fundamentally different from a competitor's "GEO", ask them to name one tactic the other one doesn't include.

Key Takeaways

• SEO ranks pages; AEO and GEO get brands cited in answers. AEO and GEO are overlapping names for the same practice, with AEO slightly broader in scope.
• The surfaces still overlap heavily with Google's index (93.67% of AI Overviews cite a top-10 domain), but the cited pages increasingly come from fan-out queries (38%, down from 76%).
• For ChatGPT-style answers, off-site brand mentions predict visibility about three times as strongly as backlinks.
• Order of operations for a small team: SEO fundamentals once → answer-first rewrites → earn mentions on the sources engines cite → measure monthly.
• Most product categories still have no settled brand in AI answers. The gap is real and it is open.

Start with a free check of whether ChatGPT names you, then read the deeper guides on answer engine optimization, generative engine optimization and GEO vs SEO.