AI search is changing how people discover content. A page can rank in traditional search and still be hard for AI answer engines to extract, summarize or cite.
Here is the practical checklist I use before calling a page AI-search friendly.
1. Start with a direct answer
The page should answer the main question in the first few paragraphs. A good answer block is clear, factual and easy to quote.
2. Use a clean heading structure
Use one H1, then organize the page with descriptive H2 and H3 sections. Avoid vague headings like "Introduction" or "More details" when a specific question would be clearer.
3. Add visible Q&A content
FAQ content can help when it matches real user questions. The important part is that the questions and answers must be visible on the page, not only hidden in JSON-LD.
4. Use schema that matches the content
Useful schema types include FAQPage, Article, Product, LocalBusiness and BreadcrumbList. The markup should reflect what users can actually see on the page.
5. Show trust and freshness signals
Add author, publisher, published date and updated date where appropriate. This is especially important for guides, comparisons and advice content.
6. Keep the content crawlable
If important text only appears after client-side rendering or user interaction, search engines and AI answer systems may miss it.
Free checklist tool
I made a free AEO Checker that scans a URL for these issues and returns a score with fix suggestions:
https://www.aeotools.dev/aeo-checker
There is also a JSON-LD generator for FAQPage, Article, Product, LocalBusiness and BreadcrumbList: