AEO vs GEO vs SEO: What Google Says Actually Matters
The terminology war around answer engines and generative search is obscuring the practical work. Google's latest guidance makes the point clear: AI visibility still starts with real SEO.
By Maya Lin Chen, Product & Strategy · May 20, 2026
AEO vs GEO vs SEO explained for 2026: what Google says matters for AI Overviews and AI Mode, which tactics to ignore, and how teams should organize AI search work.
Frequently Asked Questions
What is the difference between AEO, GEO, and SEO?
SEO is search engine optimization: improving visibility in search experiences. AEO usually means answer engine optimization: increasing the chance that your content is used in direct answers from systems like AI Overviews, AI Mode, Perplexity, ChatGPT browsing, and voice assistants. GEO usually means generative engine optimization: improving visibility in generative AI responses. In practice, the overlap is large. For Google Search specifically, Google's guidance frames optimization for generative AI search as part of the broader search experience, not a separate discipline with separate technical requirements.
Does Google require special optimization for AI Overviews or AI Mode?
Google says there are no additional technical requirements to appear in AI Overviews or AI Mode beyond being eligible to appear in Google Search with a snippet. The company recommends the same foundational SEO practices: allow crawling, make content findable through internal links, provide a good page experience, keep important content in text, use relevant images and videos, ensure structured data matches the visible page, and keep Merchant Center or Business Profile information current where relevant.
Should companies build separate AEO and SEO teams?
Most companies should not build a separate AEO team that operates apart from SEO. The better structure is an AI search workstream inside the broader organic growth or content strategy function. The same people need to coordinate technical SEO, editorial quality, structured data, entity authority, analytics, and conversion paths. Separating AEO can create duplicate processes and conflicting page decisions.
Which AI search tactics are overhyped?
The most overhyped tactics are AI-only page duplicates, mechanical content chunking without editorial value, fake third-party mentions, special schema that does not match visible content, and treating llms.txt as a substitute for crawlable, high-quality pages. These tactics distract from the work that actually compounds: useful content, clear answers, strong internal links, trustworthy authorship, original data, and consistent entity signals across the web.
Related Articles
Topics: SEO, AEO, GEO, AI, Google, Strategy
Browse all articles | About Signal