Three years ago, getting found on Google meant one thing: rank in the top ten blue links. That’s no longer the whole game. AI Overviews now show up on roughly a quarter of Google searches, and depending on whose numbers you trust, somewhere around 58 to 60 percent of searches end without a click to any website at all, according to recent AI search data. ChatGPT alone handles over 2.5 billion queries a day.
So when clients ask us whether they should be doing SEO or AEO or GEO, the honest answer is all three, just not equally, and not always the way the flood of “complete guide” articles on this topic suggests. Here’s what each term actually means, where they overlap, where they don’t, and what to do about it, including the technical steps most marketing-written guides skip over.
What is SEO, still? A quick reality check
SEO stands for search engine optimization. That part hasn’t changed. What’s changed is what “search engine” means and what winning looks like once you get there.
If your site isn’t technically sound, crawlable, and reasonably fast, none of the AI-search tactics further down this page will matter much. Google’s AI Overviews, ChatGPT’s browsing tool, and Perplexity’s index all still lean heavily on the same crawled, indexed web that traditional SEO targets. SEO is the floor everything else gets built on, not a separate lane you can skip because AI search is the newer, shinier thing.
What is AEO (answer engine optimization)?
AEO stands for answer engine optimization, and it’s a narrower job than SEO. Instead of asking how to rank higher, AEO asks how to become the answer itself.
You already know where this shows up: featured snippets, “People Also Ask” boxes, voice assistant responses, and the short answer blocks inside Google’s AI Overviews. The common thread is format. An AEO-optimized page answers a specific question in two to four sentences near the top, in language a machine can lift out cleanly without needing the rest of the article for context.
How GEO differs from AEO
AEO rewards short, structured, immediately extractable answers. GEO rewards something closer to the opposite: depth, demonstrated expertise, original data or a genuine point of view, and a track record of being cited elsewhere. Models doing this kind of retrieval tend to favor earned coverage, a journalist citing you, a competitor mentioning you, a recommendation on Reddit, over content you wrote about yourself. That’s a real departure from traditional SEO, where owned content usually did most of the work.
Where GEO shows up
ChatGPT answers, Perplexity’s cited responses, Google’s AI Mode, and Copilot. Each has its own quirks in what it prefers to cite, which is part of why generic “AI search optimization” advice tends to fall flat. What gets you cited in Perplexity doesn’t automatically get you cited in ChatGPT.
SEO vs AEO vs GEO: side by side
Swipe horizontally to view the full comparison table.
| Comparison | SEO | AEO | GEO |
|---|---|---|---|
| Goal | Rank in traditional search results | Be the direct answer | Be cited inside an AI-generated answer |
| Where it shows up | Google and Bing organic results | Featured snippets, PAA, voice search, AI Overview answer boxes | ChatGPT, Perplexity, Gemini, Copilot |
| What wins | Relevance, authority, technical health | Concise, structured, extractable content | Depth, expertise, earned citations from other sources |
| Primary levers | Keywords, backlinks, site speed, content quality | Question-formatted headers, schema markup, short direct answers | Original data, digital PR, mentions on Reddit and LinkedIn, comprehensive coverage |
| How you measure it | Rankings, organic traffic, Search Console | Snippet ownership, PAA appearances | Citation frequency, tracked with tools like Ahrefs Brand Radar or Profound, or checked manually |
If you’d rather think of it as AEO vs SEO or GEO vs SEO specifically: AEO is SEO’s format-focused cousin, same search engines, different reward for a different kind of content. GEO is closer to digital PR wearing an SEO costume, since earned mentions off your own site matter as much as anything on it.
Is AEO the same as GEO?
Depends who you ask. Profound, one of the more prominent AI-visibility tracking companies, has argued publicly that GEO is a bad, hard-to-search term and that AEO should cover both ideas. They’re not wrong that the terms get used interchangeably in a lot of what’s published on this topic, including some of the “complete guides” you’ll find when searching for it.
Our take, from actually building sites and watching what gets cited where: keep both terms if it helps your team have clearer conversations. AEO is the narrower discipline focused on structured, extractable answers. GEO is the broader discipline focused on earning citations inside generative AI responses. Every AEO tactic supports GEO. Not every GEO tactic, digital PR being the obvious one, is really an AEO tactic. If your team keeps talking past each other in planning meetings, that’s the distinction worth keeping.
Why this matters in 2026
A few numbers worth sitting with. AI Overviews now appear on roughly 25 percent of Google searches, up from about 13 percent in early 2025. Pages ranking below an AI Overview see more than a third fewer clicks than they would without one, and top organic results can lose over half their usual click-through rate when an Overview appears above them. ChatGPT now has over 900 million weekly active users, more than double where it was a year earlier. Ninety-four percent of B2B buyers say they used a generative AI tool somewhere in their most recent purchase process. Referral traffic from AI platforms to US retail sites jumped 693 percent year over year during the 2025 holiday season, and converted better than traffic from any other channel.
None of that means Google traffic is disappearing overnight. It means the traffic you’re not getting anymore isn’t coming back the way it used to, and the traffic that is arriving from AI platforms tends to convert well because it shows up further along in the buyer’s decision. Ignoring either side of that, the shrinking pool of blue-link clicks or the growing pool of AI citations, leaves real revenue sitting on the table.
How to actually get found: a practical framework
Most guides on this topic stop at definitions and a comparison table. Here’s what we’d actually do, in order, on a client’s site.
1. Fix the technical foundation first
Crawlability, HTTPS, reasonable page speed, and server-side rendering, or at least a renderable HTML snapshot, aren’t optional extras for AI search. GPTBot, PerplexityBot, and Google-Extended all need to reach your content before anything else on this list matters. If your site relies on client-side JavaScript to render the main content and nobody’s checked whether these crawlers can see past the loading spinner, that’s step zero, before schema, before content structure, before anything else.
2. Structure content so it’s extractable
Write section headers as the actual question someone would type or ask, not a clever title. Answer that question in the first two to four sentences under the header, then expand with detail afterward. Keep paragraphs short and built around one idea each, and reach for a bullet list when you’re describing something that’s genuinely a list, not just to pad the page. This is the single highest-leverage change most sites can make for AEO, and it costs nothing but editing time.
3. Implement schema markup with actual code
This is where most marketing-written guides wave their hands. Here’s a working FAQ schema example you can adapt:
{
“@context”: “https://schema.org”,
“@type”: “FAQPage”,
“mainEntity”: [
{
“@type”: “Question”,
“name”: “Is AEO the same as GEO?”,
“acceptedAnswer”: {
“@type”: “Answer”,
“text”: “Not quite. AEO focuses on structured, extractable answers for snippets and voice search. GEO focuses on earning citations inside AI-generated answers from tools like ChatGPT and Perplexity. AEO tactics generally support GEO, but GEO also depends on earned mentions AEO doesn’t cover.”
}
}
]
}
Pair that with Organization schema so search engines and AI models have a clean, structured record of who you are, and HowTo schema on anything genuinely step by step. If your dev team hasn’t implemented structured data before, Google’s own documentation on structured data is worth bookmarking before you start.
4. Configure your site for AI crawlers
Most robots.txt files still only think about Googlebot and Bingbot. In 2026, you also want explicit rules for the crawlers behind the AI platforms you care about:
User-agent: GPTBot
Allow: /
User-agent: PerplexityBot
Allow: /
User-agent: ClaudeBot
Allow: /
User-agent: Google-Extended
Allow: /
Some sites are also experimenting with an llms.txt file, a plain-text summary of a site aimed at language models rather than search crawlers. It’s early and not universally supported yet, but it costs almost nothing to add:
# llms.txt
> The Dev Point builds and audits websites for search and AI-search visibility.
> Key pages: /services/technical-seo-audit, /services/web-development, /blog
5. Build entity authority and earn citations
This is the part that’s hardest to fake and most often skipped. AI models weigh third-party mentions, Reddit threads, LinkedIn posts, journalist coverage, and review sites heavily when deciding what to cite. If nobody outside your own domain is talking about you, GEO is a steep climb no amount of on-page schema fixes will solve. Digital PR, original research worth linking to, and a consistent presence on the platforms your buyers actually use matter more here than almost anywhere else on this list.
6. Track what’s actually working
Google Search Console still tells you about traditional rankings and clicks. For AEO, watch snippet ownership and PAA appearances. For GEO, you’ll want either a dedicated visibility tool or, honestly, the manual approach: run your target queries through ChatGPT and Perplexity yourself every few weeks and note whether you show up. It’s not elegant, but it’s accurate, and most of the paid tools in this space are still maturing.
Common mistakes we see
Treating GEO as a replacement for SEO instead of a layer built on top of it is the big one. We’ve had prospects tell us they want to “switch to GEO” as if SEO is now optional. It isn’t. The technical foundation SEO builds is what makes GEO possible in the first place.
Adding FAQ schema to a page with no real, matching question-and-answer content underneath it is another. It can look manipulative to Google, and even when it doesn’t get flagged, it doesn’t help you if the content isn’t actually answering what you’ve marked up.
And almost nobody has a plan for what happens when an AI tool describes their business inaccurately. It happens more often than people expect. Worth deciding in advance who owns fixing it when it does, rather than scrambling the first time it comes up.
Which should you prioritize first?
Depends on the business. A local service business, a plumber, a dentist, a law firm, should lock down SEO and AEO first, since that’s still where most of the queries and most of the buying intent live for that kind of search. A B2B SaaS company selling through a longer, research-heavy buying process should weight GEO earlier: the 94 percent stat above isn’t hypothetical; buyers really are asking ChatGPT to shortlist vendors before they ever land on a homepage. An ecommerce site should prioritize SEO plus clean, structured product data, since that’s what both traditional search and shopping-focused AI tools lean on hardest.
If you’re not sure which bucket your business falls into, that’s usually the first thing worth figuring out with an actual technical audit rather than guessing.
FAQ
Is AEO the same as GEO?
Not exactly. AEO is about winning structured answer formats like snippets and voice search. GEO is about earning citations inside AI-generated responses from tools like ChatGPT. They overlap a lot, but GEO leans more heavily on mentions earned outside your own site.
Does SEO still matter in 2026?
Yes. AI Overviews and generative engines still largely draw from the same crawled, indexed web that traditional SEO targets. A technically weak site struggles at all three layers, not just the old one.
What’s the difference between AEO and AIO?
AIO, sometimes called AI optimization, is a newer, broader term some agencies use for overall brand credibility across the web, reviews, listings, and content consistency, not just answer formats. It’s less standardized than AEO or GEO and worth treating as an umbrella idea rather than a specific tactic list.
How do I measure GEO performance?
Track citation frequency across the AI platforms your buyers actually use. Some paid tools do this automatically. Manually running your key queries through ChatGPT and Perplexity every couple of weeks works too, and it’s free.
Do I need schema markup for AI search?
It helps significantly for AEO specifically, since schema gives machines a clean, unambiguous way to parse your content. It’s not a magic switch for GEO on its own, but it’s part of the technical foundation that makes everything else easier.
Where to go from here
SEO, AEO, and GEO aren’t three separate strategies competing for your budget. They’re three layers of the same job: making sure people, and the AI models increasingly standing in for people, can find, trust, and cite what you’ve built. Skip the technical layer and none of the rest works. Skip the earned-mention layer and GEO stays out of reach no matter how clean your schema is.
If you want a clear picture of where your site actually stands on all three right now, The Dev Point’s technical SEO and AI-search readiness audit walks through crawlability, schema, and citation potential in one pass, so you’re working from evidence instead of guesswork. And if the audit turns up structural issues that need real fixing rather than just content changes, our web development team can handle the build work directly instead of handing you a report and leaving you to figure out the rest.
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