Resources
Field research on AI search, recommendation, and buyer choice.
A curated editorial library covering measurement, strategy, AI search mechanics, market dynamics, and the commercial implications of AI-driven discovery.
Categories
Jump to section:
Featured
Foundational reading.
Vanity KPI
Research and frameworks that separate vanity AI visibility metrics from recommendation-quality and buyer-influence outcomes.
Case Studies
Independent Life Alert case studies on visibility, sentiment vs. share-of-voice reads, citation architecture, and pricing outcomes in AI search.
Industry reports
Category-level industry reports that examine how AI search is shaping recommendation patterns, concentration, and buyer choice outcomes.
Measurement
How to measure AI visibility intelligently — and why broad metrics often miss the signals that matter most.
Strategy
Frameworks for thinking about growth, discovery, and competitive risk in an AI-mediated market.
AI Search Mechanics
How AI systems form recommendations — and why many existing optimization models fall short.
Market Dynamics
How AI is likely to reshape competition, early consideration, and category leadership over time.
Economics
How to think about the commercial implications of recommendation visibility and AI-mediated discovery.
Platform Comparisons
How LLM Authority Index Reporting compares with other AI visibility platforms — monitoring-first tools vs. buyer-choice intelligence.
See how the framework applies to your market.
Get an AI Market Intelligence Report and see how AI is shaping consideration in your category.