Original research and technical guides for the wider AI search ecosystem.
Evidence-led research and technical resources covering retrieval, entity architecture, community evidence, platform visibility, citations, and the systems that shape AI search visibility.
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Three guides. Pick the one that matches your gap.
The Entity Science Guide
A technical field guide to entity clarity, structured relationships, retrieval infrastructure, and machine-readable context.
2026 AI Search Readiness Benchmark: 100 B2B SaaS Websites
Original Growthract research measuring llms.txt adoption, AI crawler access, JSON-LD, structured data, canonicals, and sitemap coverage across a frozen sample of 100 B2B SaaS websites.
Community & Off-Page AEO
How community sources, external authority, and distributed evidence influence AI search visibility beyond your website.
Part of Community & Off-Page AEO: platform-specific guides for where those conversations actually happen.
Reddit Optimization for AI Search
A practical framework for earning credible visibility in Reddit discussions that retrieval systems may surface.
Read the guideQuora and AI Search
How expert answers, topic relevance, and platform authority can support broader retrieval visibility.
Read the guideYouTube AEO
Structure video topics, descriptions, transcripts, and supporting entities for search and answer-engine discovery.
Read the guidePublishing principles
See how Growthract separates verified facts, informed analysis, and directional outcomes in the guides above.
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