AI visibility engine
Measure. Earn. Prove.
The closed loop from placement to citation, run every month against a locked prompt set across four AI models.
Absence
20/20Unbranded prompts with no mention at baseline
Presence
21.2%Mention rate one month later, from 7.3%
Attribution
17Answers citing placed coverage, URL for URL
The closed loop
Seven steps, every month.
01
Locked buyer prompts.
- Ten prompts
- Unbranded
- Never edited mid-run
02
Monthly snapshots across AI engines.
- Four models
- Same day
03
Gap detection.
- Absent
- Named
- Cited
04
Draft recommendations in DecisionHQ.
- Named approver
- Source on every claim
05
Earned media placements.
- Tier one
- Trade
06
Monthly remeasurement.
- Same prompts
- Same models
07
URL-for-URL attribution.
- Answer
- Citation
- Coverage record
↻
And back to the prompt set.
- Next month
AI mention rate, one client, one month
Ten prompts. Four models. Eight gaps detected and routed to DecisionHQ as drafts with a named approver.
Absence
Where the brand does not appear.
In answers to the locked prompts. On one client, 20 of 20 unbranded prompts at baseline.
Presence
Mention rate once coverage lands.
Across the same prompts. 7.3% to 21.2% in one month.
Attribution
The URLs those answers cite.
Matched against the coverage record. 17 answers, URL for URL.