One URL in. The whole market out.
Compete is built to find every rival beating you in classical and AI search, map the whole market, and price the path to overtake them. It does not run today. Where the audit diagnoses you, Compete would map the battlefield.
Not sold today — The Compete engine is built but deliberately not deployed, and no launch date is set. Compete is not one of the offers we sell; what we sell today is on the pricing page.
What it would give you from a single URL
The full competitor set — including the ones you've never heard of
It is built to discover rivals from SERP overlap, shared ranked keywords, and AI-answer citation co-occurrence, and would run the same deep signal extraction on every one of them.
An N-competitor AI-citation leaderboard
Who wins AI-answer visibility for your category across ChatGPT, Gemini, Perplexity, and Claude — per engine and blended — alongside classical SERP share of voice.
Gaps, positioning, and a priced overtake plan
Content and measurement gaps, a market sizing and positioning map, and a curated next-step plan. Dollar impact would be a bounded range with stated assumptions — never an invented point estimate.
How it would work
- Profile the company from a bounded crawl: topics, schema, measurement stack, keywords, and AI-citation signals.
- Auto-discover the full competitor set from SERP overlap, shared keywords, and AI-answer co-occurrence.
- Run the same deep signal extraction on every discovered competitor.
- Synthesize the market view: share of voice, the AI-citation leaderboard, gaps, positioning, and bounded opportunity.
- Track the market over time with longitudinal snapshots and competitor-movement alerts.
- Render a client-ready report — and hold it behind a human-in-the-loop release gate before it reaches you.
Guardrails we don't bend
Truth-only
Every finding cites a real evidence row or it doesn't ship. An honest "insufficient data" beats a confident fabrication. No guaranteed-rank or pay-per-lead framing.
Reviewed by humans
Output would pass our brand-voice and fabrication checks, disclose any AI-generated image, and clear a human-in-the-loop review before release.