Gumshoe helps teams understand how AI models perceive their brand and supports them in managing and improving their visibility across AI-driven search and recommendation systems. It does this by running structured searches across multiple AI systems and turning those results into clear insights you can take action on.
In short, Gumshoe does the following:
- What are LLMs saying about your brand?
- What you can do to get AI Models to recommend you more.
How does Gumshoe work?
At a high level, Gumshoe runs hundreds of AI-driven recommendation-style queries using the personas and topics you define. Each query simulates a real user (Persona) asking an AI model for advice or recommendations. Gumshoe then analyzes every answer to see when and how your brand appears, which competitors appear, and which sources the models rely on.
Once the searches finish, Gumshoe organizes the results into a report that shows:
- Your overall visibility across AI models
- Which personas and topics perform well
- Where your brand is missing from important conversations
- Which competitors appear most often
- What sources the models cite
- Suggested actions to improve AI visibility. Including:
- Technical Improvements
- Fresh content and content improvements
- Third-party sites to reach out to
Gumshoe’s role is to show you how AI models talk about your brand today and what you can do to influence that over time. It gives you a measurable baseline, highlights opportunities, and helps you understand the real factors driving brand recommendations across major AI systems.
If you need help getting started, ask for a human in chat or email support@gumshoe.ai.