If you care about how your brand shows up in AI answers, you should care just as much about who shows up instead of you.

Today we’re releasing our Automatic Competitor Detection, a new feature that identifies your competitors directly from LLM outputs and tracks them across the same models where we already monitor your brand.

No manual lists. No guessing. The models themselves tell us who you’re competing with (you can still manually add your own competitors too!).

What Automatic Competitor Detection Does

Our platform now:

  1. Automatically detects competitor mentions in LLM responses
  2. Builds a dynamic competitor set based on real AI outputs
  3. Tracks those competitors continuously across the same prompts and models as your brand

Once detected, we monitor competitors on the exact same dimensions you already track for yourself, which are:

  • Share of Voice: how often they appear versus your brand across relevant prompts.
  • Sentiment: whether the model speaks positively, neutrally, or negatively about them.
  • Ranking / Positioning: who is mentioned first, who is framed as the default choice, and who is an alternative.

All of this is tracked per model, per prompt category, and over time.


Built for Real-World AI Monitoring

This isn’t a static competitor list you define once and forget.

Competitors are:

  • Discovered automatically
  • Updated as models evolve
  • Context-aware (a competitor in one use case may not be in another)

The result is a living competitive map, based on how AI systems actually talk about your market.

❤️ Automatic Competitor Detection is live and available starting today

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