The prompt set
The questions your buyers actually type, written down and grouped by intent. Built from your customer journey, not from a keyword tool.
P01 · Collect
AI visibility as a service · Est. 2026
Turn the data you already have intothe answer AI gives.
We monitor what answer engines tell buyers about your company, find the questions where you never come up, and fix the reason.
Thirty minutes. No prep on your end. A written summary after.
Answer engine monitorClient 01
Tracked surfaces
ChatGPTTracking
PerplexityTracking
ClaudeTracking
Google AI OverviewsTracking
350+
Prompts per day
20,000+
Response sample size
Share of voice
Brand mentions against competitors
How it works
The D2D Loop.
Data to Decision. Our proprietary framework for turning what a business already knows into visibility it can measure. We learn the business first, then build the prompt set from it. Guessing at the questions is where most visibility work goes wrong.
What comes out
Customer journey map350+ prompt tracking setIntent grouping
What you keep
The work stays with you.
Three things are yours the day we finish, in accounts you own.
The language set
How the business describes itself, fixed once and applied everywhere an engine can read it. Site, profiles, directories, video.
P03 · Align
The authority plan
The gaps ranked by what they cost you, with a named owner on each one and the page briefs to close them.
P05 · Execute
Case studyLegal services · Multi-state · Fifty plus employees · Twelve weeks
A multi-state law firm that AI was not naming.
4th to 1st
Rank in brand mentions against named competitors
14.4 to 21.1%
Share of voice across the tracked prompt set
Nearly 16,000
Deals re-scored to identify productive channels
Situation
Most businesses built their reputation the old way: word of mouth, good reviews, a strong website. That still matters. But more and more, people aren't asking Google anymore, they're asking AI. And AI doesn't work like a search engine. It picks a handful of answers and presents them as fact. If your business is not one of those answers, it's like being invisible to a growing share of your future customers. We helped a national law firm address and fix this exact issue by first finding out where their money was actually coming from, and where it wasn't. Their team could tell you which cases they'd won, but couldn't tell you which leads were worth chasing because almost half of every lead that came in had no record of where it originated. At the same time, when we checked what AI platforms were telling people who asked "who's the best law firm", this firm wasn't the answer. A competitor was.
What we installed
- COLLECT
Two instruments where there had been none: a first-touch attribution field in the CRM, asked at intake after a lead qualifies, and a daily sweep of 350+ real buyer questions across four AI answer engines.
- OWN
We re-scored nearly 16,000 deals. Close rate by lead source ran from 0.4% to 74%. The internal ranking the firm would have used to judge its own people reversed once we controlled for the mix of leads each one was handed.
- ALIGN
One metric system, one definition, every percentage published with its sample size and no blended averages. Brand-name search terms came out of the scorecard, because they measure whether people who already know the firm can find it.
- DESIGN
A scored lead queue the client's COO works daily, with the threshold tuned against 36 hand-labelled examples. Items below the threshold are still logged, so the threshold itself stays testable.
- EXECUTE
First signed client from a channel that had produced none. Attribution capture rolled out by the client's own COO, to his own intake team.
Lead source attribution
Empty on 46% of nearly 16,000 deals → First-touch attribution is now assessed on every qualified call
Answer-engine share of voice
14.4% → 21.1% across the tracked prompt set
New channel introduced
No attributable clients → First signed retainer from custom-built monitored queue
"This has already shown value in the few days we've been using it."
Client COO
What they keep
The attribution field lives in the client's CRM. Their COO works the lead queue on a schedule. The written language set, directory records, and page briefs are theirs.
Find out what AI tells your buyers about you.
Thirty minutes. We run a first sweep before the call and bring what we find.