Generative AI search is changing how users reach the web. Instead of scanning ten blue links, people ask an assistant and receive one synthesized answer. For website operators, that means the winning condition is no longer "rank first" — it's "get cited."
From rankings to citations
Traditional SEO optimized for position in search results. GEO (Generative Engine Optimization) optimizes for something different: whether an AI system can parse your content, trust it, and quote it in an answer.
A page that ranks well but lacks clear structure may never appear in an AI answer. Conversely, a well-structured page with verifiable facts can be cited even without strong link equity.
What AI systems look for
When a model needs to answer a question, it retrieves content blocks that are clear, self-contained, and trustworthy. Three signals matter most:
- Semantic structure: headings, lists, and short paragraphs that map to distinct facts.
- Structured data: JSON-LD that names entities like the organization, article, or product.
- Evidence: data, dates, and sources that make a claim verifiable.
A practical starting point
Run a free AI Readiness check on this site. The report scores six dimensions — AI Crawlability, AI Understanding, AI Content Readiness, AI Citation Potential, Agent Readiness, and Trust — and lists the exact fixes with code samples. Most sites see the biggest gains from structured data and clearer heading hierarchies.