AEO vs GEO vs SEO: What’s the Difference and Which Should You Focus On?

Three acronyms are circulating in every marketing conversation about search: SEO, AEO, and GEO. They get used interchangeably, which causes real planning problems, because they don’t target the same outcome, even though they share more infrastructure than most people realise.

Here’s where we land on it, upfront: you need all three, they’re not competing budget lines, and the sequencing question, which comes first, matters more than the definitional one. Get technical health right before either of the other two, or you’re building on nothing.

What is SEO?

Search Engine Optimisation (SEO) is the practice of improving a website’s visibility in traditional search engine results pages. The goal is to rank as highly as possible in Google (and to a lesser extent Bing) for queries relevant to your business, so users choose your link over the alternatives.

SEO covers technical factors (site speed, crawlability, indexation), on-page factors (content quality, keyword targeting, heading structure), and off-page factors (backlinks, domain authority). Success is measured in rankings, organic traffic, and conversions from that traffic.

SEO is the oldest and best-understood of the three disciplines. Most brands with an established digital presence have some form of SEO programme, even if informal.

What is AEO?

Answer Engine Optimisation (AEO) is the practice of structuring and positioning your content so AI-powered search engines select it as a source when generating answers. Where SEO targets a ranking in a results list, AEO targets inclusion in the AI-generated answer itself.

AEO applies to platforms like ChatGPT Search, Perplexity, Google AI Overviews and AI Mode, and Microsoft Copilot: any tool that generates answers from retrieved web content rather than simply listing links. See What is AEO? for the complete guide.

What is GEO?

Generative Engine Optimisation (GEO) is the discipline of optimising your content and brand presence for the generative AI layer of search, specifically the large language models that power tools like ChatGPT, Gemini, and Perplexity. See What is GEO? for the complete guide, including our take on how much the AEO/GEO distinction actually matters day to day (short version: not much, more below).

Where AEO, GEO and SEO overlap

All three disciplines rest on the same foundation, but that foundation isn’t three equal legs of a stool. It’s a stack, and technical health is the bottom layer everything else sits on.

AI engines retrieve content from the web using crawler bots that follow many of the same rules as Google. A page that isn’t indexed, loads slowly, or is blocked from the relevant AI crawler will struggle to be retrieved, and therefore cited, regardless of content quality. Domain and page authority, built through backlinks, third-party mentions, and brand credibility, sits above that: it helps once retrieval is already working. Content quality and structure sit above authority: they determine what happens once a page has been retrieved and is being evaluated for citation.

So the real hierarchy is: technical access gates retrieval, authority influences which retrieved candidates get weighted more heavily, content structure determines what gets extracted and cited. A strong SEO programme, because it typically already covers the first two layers, gives you a genuine head start on both AEO and GEO. That investment isn’t wasted, it’s the foundation the newer disciplines build on.

Where they diverge is the content layer and the measurement layer. AEO and GEO favour a different content format (direct answers, FAQ structure, clear opening paragraphs) than content optimised purely for SEO (thorough, keyword-rich, structured to hold attention on the page). Success in SEO is measured in rankings and traffic; success in AEO/GEO is measured in citation frequency and share of voice in AI responses. Different tools, different metrics, and occasionally content priorities that pull in different directions.

SEO vs AEO vs GEO, side by side

Factor	SEO	AEO	GEO
What you optimise for	Rankings in search results	Citations in AI-generated answers	Brand presence across the generative AI layer
Primary platforms	Google, Bing	ChatGPT Search, Perplexity, AI Overviews, Copilot	Same platforms, framed as LLM ecosystems rather than search engines
Success metric	Rankings, organic traffic, conversions	AI citation rate, share of voice in AI responses	AI brand mentions, entity presence, citation rate
Content format	Thorough, keyword-optimised, long-form	Direct answers first, FAQ structure, clear headings	Same as AEO, with more weight on entity clarity
Authority signals	Backlinks, domain authority	E-E-A-T, third-party brand mentions, entity strength	Third-party mentions, digital PR, entity consistency
Technical baseline	Core Web Vitals, crawlability, indexation	Same, plus AI crawler access, schema markup	Same as AEO
Measurement tools	Google Search Console, rank trackers	Dedicated AI visibility platforms	Dedicated AI visibility platforms

Notice how similar the AEO and GEO columns are. That’s not an oversight, it’s the actual point of the next section.

The most significant practical difference in this table is content format. A page written to rank on Google benefits from being thorough, covering a topic in full, and keeping users on-page. A page written for AI citation benefits from answering the question directly in the first paragraph, sometimes at the cost of some depth further down. These priorities can point in different directions on the same page, and it’s worth making a deliberate choice about which one wins on a page-by-page basis rather than defaulting to whichever you learned first.

AEO vs GEO: are they actually the same thing?

Here’s our stance, stated plainly: the only rigorously defined term in this whole conversation is GEO, coined in a 2024 academic paper as retrieval-time content visibility optimisation. AEO was never an academic term, it’s an industry label that emerged around the same time to describe the same underlying work. Mechanically, they’re the same discipline, and we’re not alone in treating them that way. Profound, one of the established AI-visibility platforms, holds the same position for the same reason.

That said, we do draw one practical line ourselves, and it’s worth being upfront about it: when we label something AEO on this site, it’s usually content and technical work, page structure, schema, crawlability. When we label something GEO, it’s usually the off-page and authority side, digital PR, third-party mentions, reviews, entity consistency. That’s a division of labour for how we plan and title content, not a claim that the underlying mechanism differs, and it roughly matches how a real share of the industry uses the two terms, per Search Engine Journal’s own January 2026 assessment, though plenty of others still use the two fully interchangeably.

One thing we won’t hedge on: whichever term you use, neither AEO nor GEO has anything to do with a model’s training data, the fixed knowledge it learned the last time it was trained. That’s a separate, slower-moving discipline, LLMO, and folding it into either term causes real planning problems, because it moves on a completely different clock. Use whichever of AEO or GEO your client or team already understands, that’s a naming preference, not a strategic one, just don’t let either one quietly absorb LLMO’s job.

Which should you focus on?

Starting from scratch with no SEO foundation: build the SEO foundation first. Without it, AEO and GEO have nothing to build on, AI crawlers need to find and index your pages, and domain authority matters for retrieval. Focus on technical health, on-page fundamentals, and a small number of well-structured content pieces before adding AEO/GEO-specific work.

Existing SEO programme, want to add AI visibility: start with the additions that overlap your existing SEO work, restructure your top informational pages to answer queries directly in the opening paragraph, add FAQ sections, implement schema markup, and check your robots.txt for AI crawler access. These changes improve AI visibility without undermining your existing SEO performance.

E-commerce or product brand: AI search is increasingly influencing product discovery, especially for considered purchases where buyers research before buying. Three things matter most in practice. Product schema (Product, Offer, and AggregateRating markup) gives AI systems structured facts about price, availability, and rating they can cite directly, rather than inferring them from page copy. Third-party reviews carry more weight than brand-authored claims, AI engines lean on independent review platforms and marketplaces for credibility signals, so being well-represented there matters as much as your own product pages. And comparison content matters because buyers researching considered purchases often ask AI tools to compare options directly, so clear, honest comparison content that AI can draw on for those queries outperforms single-product pages built around one keyword.

Service business or B2B brand: service and B2B brands tend to show up in AI search early in the buying funnel, prospects researching what options exist, what the right approach is, which providers are credible. Being cited in those early-stage AI responses is a real brand awareness opportunity. Informational content clusters (what is X, how does X work, best X for Y) are your primary target.

This isn’t really an either/or decision

Framing this as “which one should I focus on” is the wrong question in most cases. It’s not SEO or AEO/GEO. It’s a strategy that covers both the traditional search surface and the AI search surface, because your potential customers are using both, often in the same research session.

Build content that’s genuinely good and well-structured (this helps all three), get technical health and authority right (this also helps all three), then add the AEO/GEO-specific layer, direct answers, FAQ structure, schema markup, AI crawler access, on top of your existing SEO programme. Treat them as complementary, not competing.

Frequently asked questions

Is AEO just another name for GEO?+

That’s our stance, though it’s genuinely contested industry-wide rather than settled, see the section above for the fuller picture. We use them interchangeably because the tactics overlap almost completely. Whichever term you use, neither covers a model’s training data, that’s a separate discipline called LLMO.

Should I stop doing SEO and switch to AEO or GEO?+

No. Traditional search still drives the majority of organic traffic for most brands. AEO and GEO are additions to your programme, not replacements. Brands that abandon SEO prematurely will very likely lose more than they gain.

Which comes first: SEO or AEO?+

SEO foundations come first, specifically the technical and authority layers, not necessarily a fully mature SEO programme. Crawlability, indexation and basic domain authority are prerequisites for AEO and GEO to function. Once those are in place, AEO/GEO-specific work can be layered on top. That said, it’s a one-way gate, not a guarantee: strong SEO performance doesn’t automatically translate into AI visibility, since traditional ranking signals and AI citation signals overlap but aren’t identical. Treat SEO as necessary groundwork, not something that makes AEO/GEO work unnecessary.

Can GEO work without an SEO foundation?+

Only partially, and unreliably. A brand with no domain authority, poor technical health, and low crawl coverage will struggle to be retrieved by AI engines regardless of content quality, because the retrieval step in AI search leans on many of the same signals as traditional search. SEO foundations aren’t optional for GEO, they’re load-bearing.

What should I do first if I’m starting from zero?+

Fix technical basics first: make sure your site is crawlable, reasonably fast, and properly indexed. That’s the step that unlocks everything else, so it goes before content work, not alongside it. Once that’s solid, build a small number of well-structured, genuinely authoritative pieces on your core topics rather than a large volume of thin ones. Layer AEO/GEO-specific work on top of those pieces: direct answers in the opening paragraph, FAQ sections, schema markup. Then establish your AI visibility baseline so you can actually tell whether any of this is working, and build from there.

Next steps

Audit your technical foundation before you touch content strategy. Check robots.txt for the AI crawlers that matter (OAI-SearchBot, PerplexityBot, Claude-SearchBot), confirm your priority pages are indexed and render without relying entirely on client-side JavaScript, then move on to the content and authority work covered in How to get your brand cited by AI search engines.