Gumshoe monitors multiple AI models to show how your brand appears in AI-generated search results across different platforms. Each model has its own way of sourcing information, interpreting context, and generating answers—which is why visibility can vary so much from model to model.

By tracking these differences, Gumshoe helps you understand how your brand is interpreted across the AI landscape and where you may need to improve.

Current AI Models Tracked by Gumshoe

Google (Gemini Flash, Pro, Search Overview)

Powers Google’s AI Overviews. Pulls from a mix of structured content, news sources, and authoritative web pages.

Perplexity AI (Sonar)

A research-focused AI model that cites sources in real time, often favoring academic, technical, or long-form content.

Anthropic (Claude)

Known for thoughtful, context-rich responses. Prioritizes safe, balanced outputs and high-quality reference material.

OpenAI (GPT-5 / 5 Mini / Nano)

These models power ChatGPT’s search and no-search variants. They interpret brand visibility based on both direct citations and inferred reputation.

DeepSeek Chat

A newer model with growing adoption, focused on multilingual response accuracy and AI-agent compatibility.

xAI (Grok)

Elon Musk’s AI product, integrated into X (formerly Twitter). Prioritizes conversational tone and emerging source types.

Why It Matters for AI Optimization (AIO)

Each AI model sees your brand a little differently. By understanding how these models evaluate and cite your content, you can:

• Identify which models favor your brand (and which don’t).
• Adjust your content strategy to match how each model pulls and interprets data.
• Improve performance in both AI-generated answers and traditional search summaries.

Gumshoe makes it easy to track visibility across models, so you can stay ahead no matter where your audience searches.