Case Study

Case studies from LAI.

Explore AI Visibility, the Visibility Trap (SOV vs. recommendation), Citation Architecture, and Pricing AI Search, then open each study for the full analysis.

Case Study

The Visibility Trap: How AI Share of Voice Made a Brand Look Like It Was Winning While AI Was Sending Buyers Elsewhere

Methodology case study: share-of-voice–style scoring suggested strength in comparison and pricing, while sentiment-gated recommendation analysis showed 0% capture and cautionary framing—why the strategic diagnosis inverted.

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Case Study

Life Alert Pricing in AI Search: The Biggest Demand Cluster, Zero Recommendation Capture

In the April 2026 baseline, Pricing was Life Alert's largest AI buying-moment cluster: 1,137,893 modeled queries and 55.71% presence, but 0.0% AI recommendation share and 0.0% ranked capture.

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Case Study

Life Alert in AI Search: Visible, but Not Recommendation-Qualified

Life Alert entered AI-mediated consideration, but not AI-mediated preference. In the April 2026 LLM Authority Index baseline, the brand appeared in just over half of measured AI responses across six major platforms. That confirms broad recognition. But the outcome layer was absent: no measurable recommendation share, no measurable Top 1, Top 3, or Top 10 capture, and no measurable conversion from mention into ranked inclusion. This was not a discovery failure. It was a recommendation-qualification failure.

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Case Study

Life Alert's Citation Architecture in AI Search: Why Visibility Did Not Become Recommendation

April 2026 analysis of Life Alert across 1,026 prompts, 10 high-intent clusters, and 6 AI platforms. The core finding: third-party editorial and trust sources shaped the recommendation layer, while Life Alert's own domain remained too weak, narrow, or reference-only to change purchase guidance.

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