Know Who's Winning
in AI Responses
When someone asks ChatGPT for recommendations, who gets mentioned? You or your competitors? Stop guessing. See exactly who appears, where they rank, and how often.
Competitors extracted from scraped AI responses, not API calls
No Manual Competitor Lists
We find your competitors automatically from the AI responses themselves. No setup, no guessing.
Query AI Platforms
We run your prompts across ChatGPT, Gemini, Perplexity, and Google AI Mode daily.
Extract All Brands
Every brand mentioned in the response is captured. Position, context, and sentiment recorded.
Track & Compare
See which competitors appear most, where they rank, and how your visibility compares.
More Than Just Mentions
Knowing a competitor was mentioned isn't enough. You need to know where and how.
Appearance Rate
How often they appear as a % of all prompts with brand mentions.
Position
Where in the response they appear. First mention vs buried at the bottom.
Citations
Which sources AI platforms cite when mentioning them.
Sentiment
Positive, neutral, or negative mention. Context matters.
Gap Analysis That Makes Sense
Not all competitor appearances matter equally. We help you prioritise what to act on.
Competitor appears, you don't. Close this gap.
Both appear, they rank higher. Improve your position.
You appear, they don't. Maintain your advantage.
See Where Competitors Dominate
Break down competitor performance by topic. Know which battles to fight.
| Topic | Your Brand | Top Competitor | Gap |
|---|---|---|---|
| Product Reviews | 78% | 65% | +13% |
| How-To Guides | 62% | 71% | -9% |
| Best Of Lists | 55% | 82% | -27% |
| Technical Specs | 89% | 44% | +45% |
See What's Backing Them
AI platforms cite sources when they recommend brands. See which publications and sites are backing your competitors.
- Identify citation sources you're missing from
- Target sites that AI actually uses as sources
- Build presence where it matters for AI visibility
Stop Flying Blind on Competitor AI Visibility
Know exactly who's winning in AI responses, where the gaps are, and what to do about it.