Problem solved

Many brands are invisible in AI-powered search results because they lack visibility into the prompts buyers use and the sources AI engines rely on. GetIntel solves this by providing a single dashboard that tracks, scores, and improves brand recommendations across multiple AI engines, turning blind spots into actionable insights so businesses can proactively influence what AI says about them.

Use cases

• Track AI search visibility across ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews
• Monitor competitor mentions and citations in AI answers
• Identify content gaps and draft fixes (e.g., llms.txt, schema) to improve AI recommendations
• Watch Reddit and X signals to catch buying intent early
• Integrate with coding agents via MCP to ship approved fixes automatically
• Benchmark Findability Score against competitors to measure brand presence in AI

Audience

• Startups
• Enterprise
• Business Users
• Product Managers
• Content Creators

Pros

• Provides a unified Findability Score across multiple AI engines
• Captures real AI interface answers, not just API responses
• Daily refresh ensures timeliness and momentum tracking
• Actionable fix recommendations with agent-based deployment
• Competitor benchmarking for strategic context

Cons

• Limited to the specific AI engines currently supported
• May not capture all niche or long-tail buyer prompts
• Free tier likely imposes usage or feature restrictions
• Relies on scraping live interfaces, which could break with UI changes
• Focuses only on text-based AI search, not multimodal or voice