Competitor Shadow
Competitor Shadow tracks the manifests, citations, and answer share of any company you care about — so you know which queries they own, and which ones are still up for grabs.
The dark map
When buyers ask ChatGPT 'best [your category]', you don't know who shows up, in what order, or with which positioning. By the time you find out, the answers have hardened — and you're three months behind a competitor who shipped first.
How it works
Drop in domains. We pull their manifests, monitor changes, and start tracking them across models.
For every query that matters, see who's cited, in what position, and how often.
Weekly summaries surface the queries you should be winning but aren't — and tell you why.
What it gives you
Get notified when a competitor ships, edits, or removes content from their llms.txt.
Per-query breakdowns of who's getting cited, in what order, on which model.
Queries your competitors win that you should be winning too.
The math
Every query a competitor wins in AI answers is a buyer they reach before you do. Competitor Shadow turns that loss into a worklist — and the moment you ship the manifest fix, the answer flips.
Three minutes from now, you know exactly where you stand — and where to strike next.