LLM Scout

LLM Scout provides AI prompt tracking and visibility analytics for brands, focusing on how AI responses mention and cite a company across models like ChatGPT, Claude, Gemini, and Perplexity. It targets teams responsible for brand visibility in AI-enabled discovery, including marketing, SEO, and agencies. The tool aggregates model coverage, prompt-level context, and competitor benchmarks to reveal where a brand appears and where it gains or loses traction.

LLM Scout operates by collecting AI responses and citations from multiple models, presenting a dashboard that highlights who references the brand, which prompts include or exclude it, and how visibility evolves over time. The system emphasizes weekly trends, regional performance, and comparison across models to help users understand AI-driven discovery dynamics.

Core capabilities include tracking brand mentions across AI responses, prompt-level insights with context, competitive benchmarking, and content-gap recommendations. The dashboard combines analytics, citations, and reporting to deliver an integrated view of AI visibility, including pages cited and prompts that drive mentions.

Plans outline different tiers and access scopes, with multi-model coverage and regional reach typical of the product. They indicate pricing options for Pro and Enterprise, with a separate Agency path, and mention a free trial alongside a plan-based structure.

Use cases

• Marketing and Growth teams use AI visibility data to measure how models surface their brand and identify gaps.
• SEO and content teams focus on which prompts, pages, and citations influence AI recommendations.
• Agencies and consultants back client recommendations with visibility data.