AI competitor monitoring
AI competitor monitoring — with the scoring kept out of the AI's hands
AI is genuinely useful here for one thing: turning a diff into a plain-English explanation of what changed and why it might matter. CompetitorSignal uses it for exactly that, and nothing more — the actual 0–100 impact score that decides what's "critical" is computed deterministically by the backend, not left for a language model to decide, because that number needs to mean the same thing every time.
AI for explanation, not for scoring
Change type, diff magnitude, and page importance combine into a fixed formula for the impact score; the AI only supplies the human-readable summary and recommended action.
Every AI response is schema-validated
Output is checked against a strict schema before it's ever shown to you — malformed or incomplete AI output falls back to a clearly-labeled generic message instead of guessing.
No invented facts
The AI is instructed to use only what's present in the actual diff and page content, use hedged language ("this may indicate...") instead of asserting certainty about a competitor's strategy, and it's held to that by validation, not just a prompt.
Swappable AI provider
Built with a provider abstraction (OpenAI, Anthropic, or a no-key mock mode) — you're not locked to one vendor.
Pricing
Free
Try it out on a handful of competitors.
- 5 competitors
- 20 monitored pages
- Daily checks
- In-app alerts
- 7-day change history
Pro
For founders and teams actively tracking the market.
- 50 competitors
- 500 monitored pages
- Daily checks
- Email + in-app alerts
- Weekly digest email
- CSV export
- Full change history
Business
For agencies and competitive intelligence teams.
- Unlimited competitors
- Unlimited monitored pages
- Daily checks
- Email + in-app alerts
- Weekly digest email
- CSV export
- Priority support
Common questions
Can the AI hallucinate a fake price or feature?
The classifier is given only the actual diff and page content as input and instructed never to invent facts; combined with the fact that structured data like prices comes from direct page extraction (not the AI), this is specifically designed against.
Does the AI decide which changes are 'critical'?
No — importance bands (critical/high/medium/low) are derived from the backend's deterministic 0–100 score, not from the AI's own judgment.
What happens if the AI service is down or returns bad output?
A safe, clearly-labeled fallback explanation is used instead, so a change still gets flagged and scored correctly — it just won't have a full AI-written explanation for that one instance.