Client Case Studies
Documented engagements showing the full diagnostic process: what was audited, what was found, and what the roadmap looks like. Results are updated as re-audits are completed.
Caviar Dream May 2026 The first nationally distributed Black- and female-owned caviar brand in the United States had strong press, a distinctive brand voice, and a genuinely differentiated experiential offering. The question was whether AI systems had enough structured signal to recognize and recommend it in the moments that matter. The diagnostic revealed a precise answer: recognized on identity queries, invisible everywhere else, and sitting on top of an open white space no competitor has claimed.
Premium F&B Brands / CPG
Original data on how AI systems currently classify premium F&B brands by category, by platform, by intent cluster.
AI Recommendation Patterns: Performance Beverage March 2026
Recess and Kin hold default positions across 58 data points. The Energy/Focus cluster is the most fragmented and the largest open opportunity in the category. ChatGPT and Gemini are returning significantly different brand sets for the same prompts.
AI Recommendation Patterns: Olive Oil March 2026
California Olive Ranch and Graza hold default positions. The two most-recommended brands in the dataset are now owned by the same company. No brand has achieved balanced visibility across both ChatGPT and Gemini.
AI Recommendation Patterns: Mindful Drinking March 2026
Ghia and Seedlip are the co-dominant defaults. Lifestyle & Identity is the most differentiated cluster and the largest open opportunity for challengers. ChatGPT and Gemini do not return the same brand sets in this category. The divergence is more pronounced than in olive oil or performance beverages.
Brand Case Study: Ghia March 2026
An analysis of how Ghia built dominant AI recommendation visibility across both Performance Beverage and Mindful Drinking categories through consistent cultural and occasion-based positioning without a single functional benefit claim.
Hospitality + Fine Dining
Original audit data on how AI platforms surface restaurants, hotels, and hospitality experiences by cluster, by platform, by intent type.
AI Recommendation Patterns: Chicago Fine Dining April 2026
Alinea dominates with 990 total mentions across four platforms. Kasama generates 105 of its 169 mentions from Gemini alone. Neighborhood queries outside West Loop and River North are effectively unclaimed.
[Read the report →]
AI Recommendation Patterns: San Francisco April 2026
Atelier Crenn leads with the strongest cross-cluster visibility in the dataset. Gemini dominates recommendation share across the category. Brands with strong Google presence get a lift that doesn't transfer to Claude or ChatGPT. The neighborhood discovery cluster is the largest open opportunity for independent restaurants outside of the established fine dining tier.
Wine Country Destinations
Original audit data on how AI platforms surface wineries, tasting rooms, and hospitality experiences by cluster, by platform, by intent type.
AI Recommendation Patterns: Napa Valley April 2026
Jordan Winery and Long Meadow Ranch lead on cross-cluster visibility. Silver Oak holds 111 mentions on Perplexity and 2 on Claude — the starkest platform concentration example in the wine country dataset. The Boutique & Hidden Gem cluster is the most accessible open opportunity for smaller estates with strong terroir narrative.
AI Recommendation Patterns: Sonoma Country April 2026
A named group of Sonoma properties show strong visibility on Claude, ChatGPT, and Perplexity with zero presence on Gemini — an addressable content gap, not a reputation problem. The Boutique Discovery cluster rewards winemaker identity and terroir storytelling over marketing spend.
AI Recommendation Patterns: Willamette Valley April 2026
Domaine Serene, Soter, and Stoller lead overall visibility, but platform distribution tells a more nuanced story — ChatGPT and Gemini surface meaningfully different brand sets across the same queries. No single winery dominates cross-platform, making Willamette Valley the most competitively open wine country dataset in the audit series. The Winemaker Identity & Terroir cluster is where smaller estates with strong philosophical positioning consistently outperform production-scale properties.
Brand Case Study: Long Meadow Ranch April 2026
440 total mentions across four platforms, with the strongest cross-cluster distribution in the Napa dataset. The case for documentation-driven visibility: LMR's AI recommendation share is built on named dishes, named sourcing relationships, and culinary programming depth.