Guides

A writing workshop for AI search: BLUF from the US Air Force handbook, the lift-out test for quotable sentences, before/after rewrites, intent-format match for lists and tables, and a 7-point publishing checklist — built on 2024–2026 citation studies.

Every AI provider sends multiple crawlers with different jobs: model training, AI search indexing, and on-demand page fetching. We break down what each robots.txt token does, what blocking it costs, and which rules to use for three strategies.

A step-by-step llms.txt implementation guide with syntax examples — plus the honest part: 97% of published files get zero requests, and no major LLM provider officially reads them.

Google says no special schema is needed for AI Overviews, FAQ rich results are fully deprecated as of May 2026, and the only large causal test found no citation uplift from adding JSON-LD. Here is what structured data actually does for AI search — and what agencies should stop promising.

The full seven-step process to optimize a website for AI search — from a robots.txt and WAF audit for GPTBot, OAI-SearchBot, PerplexityBot, and ClaudeBot, through JavaScript rendering and answer-first structure, to Bing Webmaster Tools and citation monitoring. Built on official documentation and studies, not promises.

12 checks that decide whether generative engines can cite your website — from robots.txt and JavaScript rendering to dates, authors, and structured data. Each check: what to test today and how to fix it.