Case studies
Two kinds of evidence: client engagements we ran, and independent teardowns of categories we do not work in. Both use the same method.
Engagements where we ran the program and can show the before-and-after.
TeardownIndependent audits of public categories, sampled the same way we sample our own clients.
Northwind Analytics
A B2B analytics platform was losing every AI answer to two competitors. We rebuilt its entity layer, published a quotable corpus, and grew weekly citations 6.4× in 120 days.
Loom & Ledger
A DTC home goods brand was scaling Google Ads on inflated platform ROAS. We rebuilt measurement, stripped branded-search credit, and found the profitable growth hiding underneath.
CRM category
We asked ChatGPT 40 buying questions across five CRM brands. Three brands took almost every mention, review sites took most of the citations, and none of the vendors published schema.
Payroll category
A 30-prompt teardown of Perplexity’s payroll answers. Eight sources supplied most citations, aggregators outranked vendors, and one review site decided the winner.
How we measure
Every number in these case studies comes from the same measurement spine we install for clients: a fixed prompt panel sampled weekly, citations logged by source domain, and revenue reconciled against the CRM.
Teardowns are labeled as such. They are snapshots of public data, not claims about client results, and they intentionally include findings that are unflattering to the category.
Read the measurement frameworkYour turn
Bring us a category and a commercial target. We will baseline your visibility and tell you what is realistically winnable.