web-content

To optimize content for AI discovery, use TL;DR summaries, definition blocks, and structured sections. This framework enforces frontmatter metadata and schema markup to ensure pages are easily parsed by AI agents and rank well in traditional search.

For AI-generated search answers, apply key schemas like Organization, Article, FAQPage, HowTo, and Product. These schema types signal content structure to AI agents, improving visibility and citation probability in AI-generated responses.

Schema markup directly improves generative engine optimization (GEO) by structuring content into machine-readable blocks. Applying templates for FAQPage and HowTo schemas helps AI agents parse and cite your web content accurately.

Structure blog posts and product pages for AI agents by placing a TL;DR at the top, adding a What is X definition block, listing features, and including a FAQ section with schema. This format ensures both human readability and AI discoverability.

Yes, you can apply page templates and frontmatter metadata to landing pages. The framework supports common page templates and prescribes specific schema usage, ensuring landing pages meet both SEO alignment and AI-friendly formatting requirements.

The best way to add FAQ schema is to append a structured FAQ section to your web content using the FAQPage schema template. This provides AI agents with direct question-and-answer pairs, increasing content citation in AI-generated search results.