AdLemur workflow

Sourced ad research from monitoring to measurement

AdLemur keeps competitor observations, paid-search evidence, creative work, and owned reporting in one project.

Monitor

Add a competitor once and AdLemur collects its ads from each platform's public library. Every observation keeps its source, date and geography, so a new, paused or long-running ad is a recorded change, not a guess.

Coverage by platform

Research

Pull a competitor's paid-search keywords for the market you choose and store each snapshot with its date. Compare it with their ads to see which offers they back with search budget.

Create

Analyse saved competitor creative for hooks, angles and formats, then draft original briefs and concepts from that evidence. Briefs link back to the ads they came from.

Measure

Connect your own ad accounts with read-only reporting. Compare reviewed creative with real results, and see how fast your team ships new creative and how many of those ads become winners.

AI and MCP

Agents read the same project over MCP: monitored competitors, stored ads, changes, keyword snapshots and owned performance, each with its provenance attached. Writes are separately gated and need approval.

AdLemur MCP

Where competitor ads come from

AdLemur reads each platform's own transparency library. Coverage follows what each library publishes, so every count carries its geography.

Meta and Instagramglobal
Google and YouTubeglobal
TikTokEEA, Switzerland and UK
MicrosoftEEA
SnapchatEU
Pinterestsupported countries
XEU27, still being validated

Not collected: LinkedIn, Reddit and Amazon. None of them publishes a library AdLemur can validate, so they are switched off rather than approximated. Spend is never shown as observed, because no platform publishes it for commercial ads.

Explore AdLemur MCP