How Meilisearch uses LogRocket’s MCP to improve free trial experience and feature adoption

Meilisearch uses LogRocket’s MCP integration with Galileo AI to combine session replay data, API usage, registration details, and internal product data, helping the company analyze its connected API-based Engine and UI-based Cloud experiences at scale. Previously, teams manually matched support-session recordings with API information, but Head of Experience and Engineering Operations Gillian McAuliffe developed automated tools to assess users three days into free trials and monitor newly released features through a Slack app called Feature Watch. These tools generate AI-assisted summaries that are stored in Meilisearch and displayed through internal dashboards, enabling teams to identify recurring friction, measure improvement, and follow up on product releases. One analysis revealed that a page translation was crashing the registration form for a meaningful share of prospective customers, allowing the team to prioritize and fix the issue, improving registration completion.

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