AI SEO = optimizing content to be cited by AI assistants (ChatGPT, Claude, Gemini) and to appear in AI-generated answers. Different from traditional Google SEO.
AI SEO (or AEO — Answer Engine Optimization) is a new practice (2024+) of optimizing for LLMs and answer engines. Different from Google SEO: Google ranks pages; AI summarizes information from thousands of pages and composes a single answer. AI SEO focuses on: (1) Good citability (authoritative content with an author byline); (2) Structured data (good schema.org); (3) Originality (vs. generic regurgitation); (4) Verifiability (linked sources); (5) A natural tone (not keyword-stuffed). LLMs are not yet mainstream traffic drivers but are growing: ChatGPT has 100M+ monthly users; Gemini is integrated into Google Search. AI-optimized content = credibility and potential for future "AI answers".
The future: AI answers will become mainstream on Google. Content optimized for AI = direct traffic from a page that is not a featured snippet. It is the new frontier of SEO.
Source: AEO Guideof Google searches already show an AI Overview.
BrightEdge, 2025
higher chance of being cited by AI engines when you add sourced statistics.
visibility lift in AI answers for lower-ranked pages that cite sources.
Structured data is HTML code (JSON-LD, microdata) that tells Google about the content type (article, event, product) for featured snippets and rich results.
A featured snippet is the box above Google's organic results — "Position 0" — showing a direct answer to a question, extracted from an indexed page.
RankBrain is a Google AI algorithm that understands the meaning of search queries and pages, even with new words, ranking 3rd after links and content.
Schema.org is a collaborative standard for structured-data markup, backed by Google, Microsoft, Yahoo and Yandex to encode web content.
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