Evidence we can show you today, and the case studies we cannot yet.
We have no customer case cleared for publication yet, so this page says so rather than showing an invented one. What we can show is category data we collected ourselves and published in full.
Real data now, customer stories when they are earned.
Customer case
We have no customer case cleared for publication yet. When one is, this page will carry the question set, the engines, both measurement dates and the questions that changed — not a score we invented.
Talk to us about a caseCategory benchmarks
What AI actually recommends across twelve categories, from 1,188 answers we collected and published in full.
Read the benchmarkIndustry snapshots
Per-industry data on who gets named and which sources get cited, with every number traceable to an original answer.
Browse industriesQuestions teams ask before they start
Do you have published customer results?
Not yet. We removed the illustrative sample case rather than leave a fictional company on a customer page. What is published instead is category data we collected ourselves, with every number traceable to an original answer.
What evidence is required for a real case study?
A defined baseline, time window, actions taken, measurement method, approved customer attribution and limitations.
Should customer outcomes be anonymous?
Only when the customer requires it. Even anonymous cases need verifiable internal evidence and a clear method.
Are these results guaranteed?
No. Every brand starts from a different knowledge base, competitive set and question mix, so outcomes are not transferable as promises.
How is the sample described?
Sample limits, excluded self-referential questions and unavailable evidence stay visible, so nothing reads as more certain than it is.
Can a similar review be run on our brand?
Yes. The same question set, engines and evidence trail apply to any domain once a workspace is set up.
Turn AI visibility into a repeatable growth system.
Create a project, confirm your market and start measuring the questions that matter.