Loamly

Loamly provides an intelligence layer that explains why AI platforms recommend competitors and what to change. It uses forensic analysis across multiple AI platforms to deliver a prioritized engineering playbook and a category snapshot. The service combines monitoring with deep analysis to reveal root causes, gaps, and actions. The methodology is based on extensive primary research sources and industry analyses.

After an intelligence report, Loamly offers a monitoring platform that tracks changes in AI traffic in real time. A single script install enables visibility across platforms and allows revenue attribution through Stripe to prove ROI.

The platform emphasizes transparency in how AI recommendations occur, distinguishing between training data and real-time search, and shows exactly which sources influence the recommendations.

Loamly serves agencies and brands looking to understand AI-driven recommendations, improve competitive positioning, and monitor AI traffic and ROI. The company highlights independence and enterprise-grade analytical rigor applied to AI recommendation problems.

Use cases

• Diagnose why AI recommendations show competitors and what to change.
• Attribute AI-driven revenue and prove ROI to stakeholders.