create_competitor_scan
shallowcom.epovest/ai-visibility · Verify this server
Prepare a competitor scan on a basket of up to 5 companies of the same market. Three or more is what the scan is built for: from there the places rank by RECURRENCE, that is by how many companies of the basket each one covers. It is created as a DRAFT: nothing is charged, and the questions it derives come back in the answer for you to read before arming it with start_competitor_scan. Each subject needs a `website`: a whole domain found in a page is what tells two companies with the same name apart. `category` qualifies each company in the questions ("welding equipment manufacturer") and `usage` says what buyers use it for ("hobby welding"); both shape the questions, so name them from the market you are measuring. `language` is the language the questions are asked in and `country` the market they name; leave country out for a global one. One engine per scan, ChatGPT by default: a second engine is a second scan.
1 trials · measured 8 days ago
create_competitor_scan scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against com.epovest/ai-visibility, measured 25 Aug 2026 under methodology v0.2.0. Every measured component scored 100.
Component breakdown
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | not applicable |
Tool details
- Transport
- remote
- Credential class
- gated
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-08-25 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
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