Loamly

Loamly is a specialized analytics platform designed to diagnose why AI-powered recommendation systems—such as ChatGPT, Claude, Gemini, and Perplexity—prioritize certain brands, products, or content over others in their generated responses. Unlike traditional SEO tools that focus on search engine rankings, Loamly focuses exclusively on the emerging field of AI visibility, where large language models (LLMs) and retrieval-augmented generation (RAG) systems decide which sources to cite or recommend to users. The platform performs forensic-level analysis across six major AI platforms, tracing over 2,000 specific citations to uncover the exact factors that influence AI recommendations. By examining citation patterns, content structure, and contextual relevance, Loamly helps businesses understand why their competitors appear more frequently in AI-generated answers and what specific changes—such as content format, semantic framing, or domain authority—can shift those patterns. The core product is the AI Recommendation Intelligence Report, a detailed audit that breaks down an organization’s current AI visibility footprint, identifies citation gaps, and provides actionable insights for increasing presence. Users can start with a free check of their AI visibility to see a high-level summary, while the full report delves into granular data: which platforms (e.g., ChatGPT vs. Claude) favor certain sources, what types of content (blogs, FAQs, technical documentation, etc.) get cited most, and how citation frequency correlates with factors like freshness, topical depth, and backlink profiles. Loamly also tracks market shifts over time, noting that AI referral traffic to e-commerce has surged by 4,700% year-over-year (Adobe, 2025), that AI visitors convert at three times the rate of or