ai_visibility_report
shallowio.github.johnsmalls22-rgb/backlinkmcp-server · Verify this server
AI Visibility / GEO audit. Asks a panel of AI models a buyer-intent question ('what's the best <category>?') and reports whether YOUR brand gets recommended, who the models prefer instead (share-of-voice across the panel), WHY the leader wins — diagnosed against BacklinkMCP's own authority/link data (referring-domain gap) — and which domains to earn links from to catch up. Two modes: `parametric` (default — the models' baked-in brand memory) or `retrieval` (live web-search models = what the AI answers right now, SEO-driven). **Pro plan only** (runs a live multi-model AI panel): 8 models × 3 prompts × up to 4 competitors per report.
1 trials · measured 2 days ago
ai_visibility_report scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.johnsmalls22-rgb/backlinkmcp-server, measured 31 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
- self-provisionable
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-08-31 | 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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[](https://vouch.tools/tools/d6c7a590-92c4-474b-bd24-cc2e4b0b1190)