Meridian is an agentic brand-control platform that measures and improves a company's win rate inside AI recommendation engines like ChatGPT, Gemini, Claude, Grok, and Perplexity. It tracks the full buying conversation—not just mentions—and remediates the content, product data, and technical layers that influence which brand gets recommended. Across 1,427 measured buying conversations, only 12.7% of brands named at the opening were still the final recommendation.
Funding
Funding not disclosed
Founders
Product
Problem
Most companies treat AI platforms as a search problem, focusing on mentions and citations at the opening of a conversation. However, the actual decision happens four to twelve turns deep, where the model stops listing options and recommends a single brand. Being named is not enough—95 of 180 brands in Meridian's public ranking tables never won a single one of their 27 buying conversations.
Solution
Meridian provides an agentic brand-control platform that measures win rate across ChatGPT, Gemini, Claude, Grok, and Perplexity. It tracks the full buying conversation to identify where a brand is mentioned versus where it is actually recommended, then remediates the content, product data, and technical layers that influence the model's decision. The platform treats AI as recommendation infrastructure rather than marketing, giving companies a clear view of the gap between being known and being chosen.
Target Audience
Primary customers are established brands and marketing leaders who need to understand and improve their performance in AI-driven recommendation environments, particularly those already running GEO programs who want to move beyond mention tracking.
Features
- Win-rate measurement across five major AI platforms (ChatGPT, Gemini, Claude, Grok, Perplexity)
- Full-conversation tracking that captures the decision turn, not just the opening mention
- Remediation tools for content, product data, and technical infrastructure gaps
- Public AI Recommendation Ranking Tables benchmarking brand performance across 180 brands and 27 buying conversations
- Distinguishes between mention/citation metrics and actual recommendation outcomes