Resources
AI Search Resources
Practical guidance for understanding modern search, from AI visibility and crawler discovery to the decisions behind useful local and service-area pages. These resources explain how DankRank measures, diagnoses and structures search work without turning every topic into a sales page.
Resources
Research
Field Guide
Measurement
Crawlers
Guides
The AI Search Field Guide
A practical reference for AI SEO, GEO, AEO, citations, entities, retrieval, crawlers and the language used across AI search.
How to Measure AI Search Visibility
A framework for tracking prompts, citations, mentions, recommendations, competitors, source overlap and referral traffic over time.
AI Crawlers, llms.txt & Machine Discovery
A technical guide to AI crawler access, robots.txt, llms.txt, bot protection and the limits of machine discovery.
Location Pages vs Doorway Pages
A practical framework for deciding when a market deserves its own page, when a broader service-area page is better, and when consolidation makes more sense.
How to Choose an AI SEO Agency
A practical framework for checking whether an AI SEO agency's evidence and reasoning actually support its recommendations.
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Looking for original research?
DankRank Research tracks what we observe through studies, benchmarks and repeated measurement. Resources explain the systems and methods behind the work.