AEO vs GEO vs SEO: What Google's Official Guidance Actually Says
AEO vs GEO vs SEO explained. Google's June 2026 guidance says they're all SEO. Here's what works, what to skip, and why the new acronyms are mostly noise.
AEO vs GEO vs SEO: What Google's Official Guidance Actually Says
The debate over AEO vs GEO vs SEO has a clear answer as of June 2026. Google published official guidance stating that Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) are still SEO. There is no separate playbook, no special schema, no secret signal for AI search. The fundamentals that drive Google rankings drive AI citations too.
That hasn't stopped vendors from selling new acronyms. So let's sort what's real from what's marketing.
What each acronym is supposed to mean
The industry coined three terms over the past two years, each promising a different optimization path.
- SEO (Search Engine Optimization): the original. Optimize a page so it ranks in the traditional blue-link search results.
- AEO (Answer Engine Optimization): optimize so AI assistants (ChatGPT, Perplexity, Gemini, Claude) cite your content in their answers.
- GEO (Generative Engine Optimization): functionally identical to AEO in most definitions, though some practitioners distinguish GEO as optimizing for generated summaries (like Google's AI Overviews) and AEO as optimizing for chat assistants.
The pitch behind AEO and GEO is that AI answers work differently from traditional search, so they need a different set of tactics. Google's official position, published in June 2026 through Search Central, says otherwise.
What Google actually said in June 2026
Google's guidance was direct. The same signals that help a page rank in Search help it surface in AI Overviews and AI Mode. Specifically, Google called out:
- Crawlable HTML content
- Clear entity definitions and structured data
- Authoritative, original information
- E-E-A-T (experience, expertise, authoritativeness, trustworthiness) signals
- Standard schema.org markup
Then Google went further. In a companion Search Central document about third-party SEO tools, the team warned site owners to be skeptical of any tool claiming to be "Google-approved" for AI search. They named specific tactics to ignore:
- llms.txt files: no impact on rankings or AI citations. Google doesn't read them.
- "Chunking" content for AI: unnecessary. AI systems chunk content themselves during retrieval.
- Special AI-only schema types: no such thing exists. Standard schema.org is the standard.
If you have been told to install llms.txt or restructure pages around "AI chunks," the official guidance is to stop.
Where the AEO and GEO playbooks get it half right
The new acronyms aren't pure noise. Practitioners selling AEO and GEO services have correctly identified a few things that matter more in AI search than they used to:
- Entity clarity. AI systems retrieve based on entity associations. A page about "roofing in Tucson" needs to make the entity ("roofing contractor"), the location ("Tucson"), and the service connections explicit.
- Citation-friendly structure. Direct answers in the first 100 words, scannable lists, FAQ blocks. These help AI systems extract a quotable chunk.
- Brand presence across the open web. AI assistants weight sources that appear across multiple authoritative domains, not just the brand's own site.
All of this is SEO. It's the same SEO that worked in 2022. The acronyms repackage it.
What actually drives AI citations
Here's the short list, ordered by impact, based on Google's guidance and observed behavior from ChatGPT, Perplexity, and Gemini.
1. Authority signals (referring domains, brand mentions)
Sites with strong link profiles and brand recognition get cited more. A 2026 study found that sites with 32,000+ referring domains were 3.5x more likely to be cited by ChatGPT than sites with under 200 referring domains. This isn't a quirk of AI. It's the same authority signal that has driven Google rankings for two decades.
2. Crawlable HTML and clean structure
If a bot can't render your page, it can't cite you. Avoid client-side-only JavaScript rendering for critical content. Use semantic HTML. Keep the markup simple.
3. Standard schema markup
Article, FAQ, HowTo, Product, LocalBusiness, Organization. The schema types you have been using all along. No "AI schema" needed.
4. Direct answers up top
The first paragraph of a page should answer the question the page is targeting. AI systems extract early-paragraph content disproportionately, and Google's featured snippet logic does the same.
5. Topical depth and internal linking
A site that covers a topic thoroughly, with internal links connecting related concepts, gets cited as an authority on that topic. Thin one-off pages don't.
What to skip
Based on Google's June 2026 guidance and the data we've seen:
- llms.txt files. No effect. Don't waste the dev cycles.
- Special "AI schema" types. They don't exist.
- Content "chunking" formats sold by AEO vendors. AI systems chunk on retrieval. Your job is to write clearly, not pre-chunk.
- Tools claiming "Google-approved" AI optimization. Google does not approve third-party tools. Anyone claiming that designation is lying.
- Rewriting your whole site for "GEO" or "AEO." If your SEO is solid, your AI visibility is mostly there already.
How to actually move the needle
If you want to improve AI search visibility in 2026, the work is the same SEO work it has always been, with a few emphasis shifts.
1. Build domain authority. Earn links from real, relevant sites. Get cited in press, podcasts, industry publications. Brand mentions matter even without a link.
2. Make your entity clear. Use Organization and LocalBusiness schema. List your services explicitly. Define your terms.
3. Cover topics in depth. A 12-page topic cluster beats a one-off blog post for AI citation, because AI systems pattern-match on topical authority.
4. Lead with the answer. Every page should answer its target question in the first 100 words.
5. Keep your HTML clean and crawlable. Server-side rendering or static generation for content pages. Schema where it makes sense.
6. Monitor citations. Tools like Perplexity, ChatGPT, and Gemini will tell you what they cite. Search for your brand and target queries monthly.
Frequently asked questions
Is AEO the same as SEO?
According to Google's June 2026 guidance, yes. Answer Engine Optimization uses the same fundamentals as Search Engine Optimization: crawlable HTML, schema, authority signals, and clear entity definitions. There is no separate AEO playbook that Google recognizes.
What is the difference between GEO and AEO?
In practice, very little. Some practitioners use GEO for Generative Engine Optimization (focused on AI summaries like Google's AI Overviews) and AEO for chat assistants like ChatGPT. The optimization tactics for both are nearly identical, and Google treats them as the same thing: SEO.
Does llms.txt help with SEO or AI rankings?
No. Google explicitly stated in June 2026 that llms.txt files do not influence rankings or AI citations. The file is not read by Google's crawlers, and major AI providers have not committed to it as a standard.
What schema markup helps with AI search?
Standard schema.org types. Article, FAQ, HowTo, Product, Organization, LocalBusiness. There is no special "AI schema" despite vendor claims. Use the schema types that match your content.
How do I get my site cited by ChatGPT?
Build domain authority, write content that directly answers questions, use standard schema, and earn brand mentions across the open web. Sites with strong link profiles and topical depth get cited at much higher rates. There is no shortcut.
Should I hire an AEO or GEO specialist?
If they're selling tactics like llms.txt, special AI schema, or "Google-approved" tools, no. If they're doing solid SEO work (entity optimization, authority building, content depth, schema, technical hygiene), they're useful, but they're really doing SEO.
Bottom line
AEO vs GEO vs SEO is a debate about labels. Google's June 2026 guidance settled the substance: AI search rewards the same signals as traditional search. Build authority, write clear content, use standard schema, keep your HTML clean. Skip llms.txt, skip "AI schema," skip any tool claiming Google's blessing. The acronyms will keep multiplying. The fundamentals won't.
*Want help with an SEO strategy that holds up across traditional search and AI? Book a call with us.*
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