Public competitive baseline
That is not a visibility problem. It is a preference problem.
Based on 10 answers from 1 of 5 assistants, recorded by us before contacting you — nothing here came from your team. The full record behind it is complete and available to you.
Not what you expected?
Every prompt, answer and source behind this page is on record. If something here looks wrong, we will walk your team through how it was recorded — question by question.
The question a buyer asked
“Which regulated fintech platform would you recommend for an enterprise?”
Bill.com (Bill) was the recommended choice in this answer.
The buyer is choosing a vendor at this point, not browsing.
vendor selection
Across the 10 answers recorded in this baseline.
Every answer we recorded, and where it came from.
If AI is going to explain your company to a buyer, whose version of the facts is it using?
Ranked by how close each sits to a purchase decision.
Bill.com (Bill) came out on top here.
Bill.com (Bill) came out on top here.
Your platform measures the outcome.
We work on what produces it.
You already know where you stand. What measurement does not show is what the answer was assembled from.
Measure
What we work on
Nobody tells an assistant which sources to trust. It decides that on every single answer — and the only thing you control is what it finds about you when it looks.
What it reads
Third-party write-ups, retailer pages, forums, review sites — 10 of the 10 answers we recorded were built this way.
What it doesn’t
Your own published facts. Across this baseline, an official Bill.com (Bill) source was cited 0 times.
What that means
The version of Bill.com (Bill) a buyer hears is assembled from other people’s descriptions of you, not from yours.
This is the part your monitoring platform reports on but does not reach. We work on the layer underneath it: which facts about Bill.com (Bill) are available to an assistant, in what form, from a source it will actually use.
Not a report and not a dashboard of scores. A maintained layer of facts about Bill.com (Bill) that an assistant can find, plus the record of what it does with them.
Facts, with their state
Each fact carries its source and the date it was confirmed.
Machine-readable profile
The form an assistant can actually read and cite.
What the answers do next
So: software, not a report. The record you see on this page is the starting point. What you run afterwards is a maintained fact layer for Bill.com (Bill) and continuous monitoring of what assistants do with it.
456 / 1,501
company domains we scanned already publish a machine-readable fact layer or explicit rules for AI systems
Measuring tells you the score. It does not change what the score is calculated from. Both matter — and only one of them is something you can act on.
Bill.com (Bill) already publishes a fact layer. The question is whether it says what you would want it to say.
The answers themselves
Quotable, each with its date and the assistant that produced it.
The source gap
6 answers describe Bill.com (Bill); 0 of them cite Bill.com (Bill).
Where the brand stops moving
Mentioned 6 → recommended 1 → preferred 6.
What is actually controllable
Which facts about Bill.com (Bill) an assistant can reach, and which it cannot.
Every line above traces back to a recorded answer with a timestamp and a provider — which is what holds up in a review, unlike a score whose method nobody can see.
You already have the score. If a competitor keeps winning the same commercial questions:
If the answer is no, that is a reporting system, not a growth system.
Every prompt, every answer in full, every source behind it, broken down by assistant. It is a record about Bill.com (Bill), so we release it to a verified bill.com address rather than publishing it.
Fix this →The record stays with your team. Keep Profound, Scrunch, Peec, Semrush or whatever you use now — this works on the layer underneath what they measure, and does not replace them.
Who sees this record
Released to a verified bill.com address only. Not indexed, not published, not shared with third parties.
Built for regulated work
We already run this method for FDA- and FCC-regulated manufacturers, where a claim about a product has to survive scrutiny.
Every claim is traceable
Each statement links to the answer it came from, with the provider and the timestamp. Nothing here is a modelled estimate.
Running your own prompt set covers all 5 — request full coverage.
AuthorityPrompt
We maintain the layer of verified company facts that AI assistants read, and we track what they say afterwards.
| Buying questions | 10 |
| Answers recorded | 10 |
| Requests attempted | 50 |
| Assistants that answered | ChatGPT |
| Recorded | 2026-08-24 21:35 UTC |
Every answer is reproduced as the assistant returned it at the time shown, with the classification shown next to the answer it came from — so your team can check it line by line, and quote it where a number without a method would not hold up. Each answer carries the assistant, the date and the sources it drew on, so a business case can be built on the record rather than on an estimate.
Independent AuthorityPrompt profile based on publicly available sources. This company has not claimed or verified this profile and is not an AuthorityPrompt customer.