Proof you can check: live case studies with disclosed sample sizes

Marketing case studies have a trust problem: nobody can tell a measured result from a rounded-up one. So we stopped writing them by hand. Every case study on our Proof page is generated from the campaign's own tracked data.

Generated, not written

A case study is refreshed from the campaign's citation runs, GenO audits and ranking snapshots. The headline cites the measured citation rate; the metrics carry citation vs mention rates and engines present. If the numbers are weak, the case study says so — an honest 0% baseline is a better proof story than a vague win.

Sample size, always disclosed

Every published study carries its sample: checks per run, repeats this month, and how many checks were live API calls versus web-researched estimates. Fewer than three repeats in a month and the number is labeled a single scan, not a trend. The dogfood campaign on our own domain runs the full cadence so the sample is always big enough to judge.

Verify the loop, not the claim

The publish-and-verify loop records what was published and the before/after citation delta — so a case study isn't a claim about what the platform can do, it's a log of what it did. That's the standard we hold ourselves to, and the one we think buyers should demand from every GenO vendor.