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Blog / Strategy

AEO vs SEO vs GEO: What's Actually Different, in Plain English

9 min readUpdated Sep 18, 2026
Vincent Ruan
Vincent RuanFounder, Attrifast · May 24, 2026 · 9 min read

SEO gets you into the list of links. AEO gets you into the answer. GEO gets you into what the AI writes. Here is what actually changes on your pages — and what the three letters really mean, without the agency vocabulary.

Part of the generative engine optimization guide and AEO Hub.

TL;DR

  • SEO gets your page into the list of links. AEO gets your page used as the answer. GEO gets your page into what an AI model writes. That is the whole distinction.
  • AEO and GEO describe nearly the same work. Roughly 70-80% of that work is ordinary SEO you are probably already doing.
  • SEO is not dead. Google served roughly 8.5 billion searches a day as of 2024 [1], and AI Overviews show up on only about 20-25% of tracked queries [2].
  • The genuinely new part is small: answer the question in plain words near the top, add FAQ schema that matches what people can see, cite real numbers, let the AI crawlers in.
  • The hard part is not getting cited. It is proving the citation paid you — GA4 files AI visits under Direct. See the AI-engine revenue split in Attrifast →

If you already understand SEO and the other two letters keep confusing you, here is the short version.

SEO is optimizing to appear in the list of blue links. AEO — answer engine optimization — is optimizing to be the answer: the AI Overview at the top of Google, the featured snippet, the reply a chatbot gives. GEO — generative engine optimization — is the same idea pointed specifically at AI models like ChatGPT, Perplexity and Claude, which write a paragraph and name the sources they used.

That is it. People argue about where AEO ends and GEO begins; it is not worth your afternoon. Both mean "be the source the answer is built from," and the work is nearly identical.

Recommended SEO vs AEO effort split by business type: SaaS B2B 75/25, e-commerce 85/15, content publisher 55/45, SMB local 90/10, developer tools 60/40, healthcare 70/30

The three side by side

SEOAEOGEO
You want to beIn the list of linksThe answer on the results pageThe source an AI writes from
Where it shows upGoogle and Bing resultsAI Overviews, featured snippetsChatGPT, Perplexity, Claude, Gemini
What "winning" looks likePosition 1-10Your text is the answer boxYour brand is named and linked
How you knowRankings, clicks in Search ConsoleSnippet appears for your queryYour name appears in the answer
What you changeKeywords, links, page qualityDirect answer near the top, FAQ schemaSame, plus crawler access and citable numbers

The overlap is the point. All three want a page a machine can read, structured clearly, that genuinely answers something. You are not running three strategies.

So what actually changes on the page?

Five things. None take long, and four of them help ordinary Google rankings too, so they are worth doing even if AI search stalls tomorrow.

1. Answer the question in the first paragraph. Under 120 words, in the words a person would use, directly under the heading. This is the paragraph an AI lifts. Most pages bury it under "In this article we'll cover…" — that filler costs you the citation.

2. Add FAQ schema that matches what's on the page. Four or more question-answer pairs, and the questions phrased the way someone types into a chat box — "why doesn't GA4 show my ChatGPT traffic?" rather than "GA4 ChatGPT traffic tracking". Ahrefs and Semrush both found AI-cited pages carry four or more FAQ items where uncited pages carry one or two [8][17]. The schema must match the visible text; mismatched schema gets ignored at best [12].

3. Put numbers in, with sources. "ChatGPT had roughly 400 million weekly users in Q4 2025 [OpenAI]" gets quoted. "ChatGPT is huge" does not. Princeton's GEO research found adding statistics and source attribution independently lifted citation rates by over 30% [15].

4. Let the AI crawlers in. Check your robots.txt does not block OAI-SearchBot, PerplexityBot, ClaudeBot or Google-Extended. Blocking Google-Extended is the common accident: it stops Gemini training and disqualifies you from AI Overview citations [10]. Ours are documented in the AI crawler directory.

5. Say who you are, in a way a machine can verify. Organization schema with sameAs links to your LinkedIn, X, GitHub, Crunchbase — four or more. Brands with four or more matched profiles are roughly three times more likely to be cited [8]. One-time fix.

That is the honest list. Everything else marketed as AEO is either ordinary SEO with a new label, or unproven.

One thing sold as essential that isn't

llms.txt — a file at your site root listing your best pages. It costs thirty minutes and cannot hurt. But no AI vendor documents reading it at answer time [7], and adoption was still only 8.7% of the world's top 1,000 sites in June 2026 [22]. Ship it as cheap insurance, not as a channel. We tested it on our own site and published the result.

Is SEO dead?

No, and the people saying so are usually selling the replacement.

Google served roughly 8.5 billion searches per day as of 2024 [1]. AI Overviews appear on about 20-25% of tracked queries — Ahrefs measured 20.5% across 146.1 million results pages in September 2025; Conductor measured 25.11% across 21.9 million searches that autumn [2]. The trackers disagree by more than they move quarter to quarter, so treat any single number as directional.

What did change is which queries still send you visitors. Ahrefs studied 300,000 keywords and found that when an AI Overview appears, the top result's click-through rate falls by roughly 34.5% [3]. Read the method before you panic: they sampled informational keywords only, because 99.2% of AI-Overview-triggering keywords are informational. The damage is concentrated at the top of the funnel — "what is X" — while "best X for Y", comparisons, and buying queries still behave much as before.

So the practical read is not "SEO is over." It is: explainer content is worth less than it was, and commercial content is worth more.

Where classic SEO still wins outright

  • Comparison and buying queries. Someone choosing between five tools wants five tabs, not one paragraph.
  • Transactional searches. "Buy wool runners men size 11" resolves on a normal results page.
  • Your own brand. When someone searches your company name, the answer must be your page, in your words. AI engines will occasionally describe you wrong; ranking for your own name is the defense.
  • Local. "Plumber near me" is the map pack. AI does not own it.
  • Video and images. Unchanged surfaces.

The pattern: SEO wins where the click is the goal. AEO wins where the answer is the goal. The further down the funnel, the more SEO matters.

How much time should each one get?

Start from your business type, then adjust once. These are starting points, not gospel — they come from running both on this site and on client properties through 2025-2026.

If you are a…Of every 4 hours of new content workWhy
Local service businessAbout 15 minutes — or skip itThe map pack still owns your searches
Ecommerce storeAbout half an hour on AEOBuyers want to compare and click
B2B SaaS, small1 hour on AEOBuyers still start on Google, but ask AI "how does X work"
B2B SaaS, enterpriseBetween 1 and 1.5 hoursProcurement teams research vendors in chatbots
Developer tools1.5 hoursDevelopers ask AI constantly — highest payoff of any category
Publisher or media2 hoursExplainer queries are exactly what AI absorbs

Two things worth saying plainly, because the usual framing hides them:

This is about new hours, not your existing budget. If you publish four SEO posts a week, "one hour in four" does not mean deleting SEO work. It means one in four hours of new effort goes to the five changes above.

The AEO work is mostly one-time. Add the direct answer, the schema and the profile links once per page, then move on. SEO is the opposite shape — cheaper to start, endless to maintain.

How do you know if it's working?

This is where most AEO advice goes quiet, so here is the blunt version.

Being cited is not revenue. Tools that track whether your brand appears in AI answers are measuring exposure. Useful. Not the same as "AI search made us $X."

GA4 will not show you AI traffic by default. Most AI assistants strip the referrer, and GA4 has no built-in rule for chatgpt.com, perplexity.ai, claude.ai or gemini.google.com [9], so those visits land in Direct. There is no setting inside GA4 that fixes it.

The join to money is the hard part. Even with the visit identified, connecting it to a payment weeks later — across consent banners, cookie expiry and multiple devices — is what turns a traffic number into a revenue number. That join is what we built Attrifast to do, and it is the reason the AEO-versus-SEO argument usually stalls at "but can you prove it?"

With Attrifast

Splitting effort between AEO and SEO is guesswork until each side has a revenue number next to it. Attrifast supplies that half — every AI referral joined to the Stripe payment it produced, per engine.

7-day free trial · $0 today · one script tag

Measure the AEO half →See what it looks like →

The mistakes worth avoiding

  • Blocking Google-Extended by accident. It stops AI Overview citations entirely [10].
  • FAQ schema that doesn't match the visible page. Google's guidelines require parity [12]; mismatched markup gets ignored or penalised.
  • A direct answer buried under a 400-word intro. Move it above the fold.
  • One sameAs link and nothing else. Four or more, or the machine has nothing to verify against [8].
  • Rewriting every existing page for AEO. The lift on a page that already ranks well is small. Ship the five changes on new pages; retrofit when you happen to be editing anyway.

What this guide doesn't cover

  • Voice answers. When an assistant reads an answer aloud there is no link and no session. Brand exposure happens; traffic does not.
  • Enterprise AI tools. ChatGPT Enterprise, Claude for Work and Copilot run in isolated tenants and may behave differently from the consumer versions.
  • Non-English markets. Almost all published citation research is US English.
  • Sites without an SEO baseline. If you have published ten articles total, this split is premature. Get indexable, internally linked, well-targeted pages first — AEO stacks on top of that, it does not substitute for it.

FAQ

What is the difference between SEO, AEO and GEO?

SEO is getting your page into the list of blue links. AEO — answer engine optimization — is getting your page used as the answer, whether that is a Google AI Overview, a featured snippet, or a chatbot reply. GEO — generative engine optimization — is the same idea aimed specifically at AI models like ChatGPT, Perplexity and Claude, where the model writes a paragraph and names its sources. In practice AEO and GEO describe nearly the same work, and roughly 70-80% of that work is ordinary SEO: crawlable pages, clear structure, internal links, real authority. The part that is genuinely new is small and mostly mechanical.

Is AEO part of GEO, or are they different things?

They overlap so heavily that arguing about the boundary is a waste of time. The useful distinction is the surface: AEO is usually used for answer boxes on a search results page, GEO for answers written by an AI model. The work you do is almost identical — answer the question near the top of the page in plain words, add FAQ schema that matches what is visible, cite real numbers, and make sure the AI crawlers are allowed in. Pick whichever word your team prefers and get on with it.

Is SEO dead in 2026?

No. Google still served roughly 8.5 billion searches per day as of 2024, and AI Overviews appear on only about 20-25% of tracked queries — Ahrefs measured 20.5% across 146.1 million results pages in September 2025, Conductor measured 25.11%. The rest of the page still works the way it always did. What has changed is which queries are worth chasing: top-of-funnel explainer queries now often get answered without a click, while commercial and comparison queries still send people to your site.

Will AEO replace SEO?

No, because they optimize for different moments. AEO wins when the user wants an answer and will accept it without clicking. SEO wins when the user wants to choose — comparing five tools, buying a specific product, finding a local business. Most purchases still involve a click somewhere. The honest way to think about it: AEO is an extra layer you add on top of SEO, not a replacement you swap in.

How much time should I spend on AEO versus SEO?

For most small SaaS and ecommerce sites, about three of every four hours of new content work should still go to ordinary SEO, and one to AEO. Publishers and developer-tool companies should push closer to half and half, because their audiences ask AI far more questions. Local businesses can nearly ignore AEO — the map pack still owns those searches. And the AEO hours are mostly one-time per page: add the schema and the direct answer once, then move on.

What is the one AEO change worth shipping this week?

Put a plain 60-120 word answer directly under your H1, phrased the way a person would ask the question, then mirror it in FAQ schema with at least four question-answer pairs that match the text a visitor can actually see. Ahrefs and Semrush both found AI-cited pages carry four or more FAQ items where uncited pages carry one or two. It takes under an hour per page and it also helps with ordinary Google rich results, so it pays off even if AI search stalls.

How do I know whether any of it is working?

Not from GA4 by default. Most AI assistants strip the referrer, and GA4 has no built-in rule for chatgpt.com, perplexity.ai, claude.ai or gemini.google.com, so those visits pile up in Direct. You need server-side referrer detection for the visits that do carry a source, a pattern rule for the ones that do not, and — if you want a revenue number rather than a traffic number — a join from the visit to the actual payment.

Keep reading

  • Is AEO replacing SEO? The honest answer from someone running both
  • Where does ChatGPT get its information? — 287 answers traced back to their sources
  • Where does Google AI get its information?
  • AI Overviews killed my traffic: a recovery playbook
  • AI citation tracking, joined to revenue

Sources

Primary sources for the claims in this article. Numbered citations in the text link to the matching entry.

  1. [1]Google search statistics (8.5 billion searches per day, 2024 baseline) — Internet Live Stats (2024).
  2. [2]What triggers AI Overviews? 86 factors and 146 million SERPs analyzed (20.5% of SERPs, September 2025) — Ahrefs (2025).
  3. [3]AI Overviews Reduce Clicks by 34.5% (300,000-keyword study) — Ahrefs (2025).
  4. [4]ChatGPT weekly active user updates, 2024-2025 announcements — OpenAI (2025).
  5. [5]Company blog: query volume and growth — Perplexity AI (2025).
  6. [6]Search engine market share, desktop and mobile, US and worldwide — StatCounter (2025).
  7. [7]The llms.txt proposal and adoption tracking — llmstxt.org (2024).
  8. [8]GEO and AI search research blog (FAQ schema, citation patterns) — Ahrefs (2025).
  9. [9]Default channel group definitions for GA4 — Google Analytics (2025).
  10. [10]Generative AI in Search (AI Overviews launch and citation behavior) — Google (2024).
  11. [11]How to track ChatGPT and AI search traffic — Plausible Analytics (2024).
  12. [12]FAQPage, HowTo, Article, Organization, and Person structured data specifications — Schema.org (2025).
  13. [13]Overview of OpenAI's bots and how to control them (GPTBot, ChatGPT-User, OAI-SearchBot) — OpenAI (2025).
  14. [14]AI Overviews and SERP CTR research — seoClarity (2024).
  15. [15]GEO: Generative Engine Optimization (Aggarwal et al, Princeton) — arXiv (2024).
  16. [16]PerplexityBot crawler documentation and indexing behavior — Perplexity AI (2025).
  17. [17]Generative Engine Optimization research and citation-pattern audits — Semrush (2025).
  18. [18]ClaudeBot crawler documentation and content access — Anthropic (2025).
  19. [19]Block AI Bots from Crawling Websites Using Robots.txt (live top-1,000-site blocking dashboard) — Originality.AI (2024).
  20. [20]llms.txt sample implementation — Anthropic (2024).
  21. [21]Structured data general guidelines (visible-content parity rule) — Google Search Central (2024).
  22. [22]llms.txt Adoption Tracker (8.7% of the top 1,000 sites, June 2026 Tranco list) — Rankability (2026).
Reading this with an AI assistant?Ask Perplexity about this article →Read this article as markdown →

About the author

Vincent Ruan, Founder, Attrifast
Vincent RuanFounder, Attrifast

Vincent Ruan is the founder of Attrifast, an analytics platform for website traffic, customer-level revenue and AI brand visibility, which he built after spending two years duct-taping GA4 exports to Stripe payouts for the Shopify store he and Jessica Huang started in 2021. He wrote the first 4kb tracking script himself, ships every backend webhook handler, and has stitched first-party attribution into roughly 40 marketing channels across his own properties and a handful of client SaaS apps. Before Attrifast he ran growth and analytics for two bootstrapped products and watched ITP 2.3 quietly evaporate 30%+ of his paid-search attribution overnight. He writes mostly about the parts of analytics that break in production, cookies, consent, webhooks, and the joins between them.

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