Jaume

AdLemur is an open-source advertising intelligence workspace that helps marketing teams monitor competitors, research paid keywords, develop creative briefs and review their own campaign results. It brings evidence from public ad libraries across six platforms—Meta, Google, TikTok, Microsoft, Snapchat and Pinterest—into a searchable collection. Users can track selected advertisers, see when ads are launched, stopped, restarted or changed, and save examples with their sources, tags and notes.

The platform’s playbooks summarize activity such as ad formats, recurring hooks, landing pages and how long creative remains active. Structured research captures elements including hooks, angles, offers and calls to action, while paid-keyword snapshots show bidding, rankings and areas of overlap. Teams can use selected evidence to generate original briefs and copy, with an originality check against the sources. AdLemur also offers read-only reporting from connected advertising accounts, kept separate from competitor data and estimates. Its built-in MCP tools let AI agents access the same sourced records. The software can be self-hosted using Cloudflare or Docker, and includes an offline fixture mode.