CitenzoBefore and after, measured honestly
We'd rather show you the method than a cherry-picked number. Here's how Citenzo proves a real change in AI visibility — and where published customer results will live.
How we prove a lift
A believable case study isn't a screenshot of one good answer — AI answers vary run to run. So every result we publish follows the same honest method: baseline your visibility across engines over many runs, make a specific change (a placement or a fix), then re-measure the same way and report the difference.
That means the number you see is a real shift in how often AI names you — not a lucky snapshot.
Results, as they land
Citenzo is new, and we won't invent case studies to look established. As customers close gaps and we measure the lift, we'll publish the before/after here — method and all. Want to be one of the first? Run a free check and start with a baseline.
What every case study will show
The baseline
Starting visibility and share of voice across the engines, measured over many runs.
The change
Exactly what was done — which placements, which pages, which fixes.
The measured lift
The after, measured the same way as the before — with the method shown, not hidden.
Questions, answered
Because we won't fabricate them. Citenzo is early; we publish real before/after results as they're measured.
Yes — every result shows the baseline, the change and the re-measurement, so you can judge it yourself.
Start with a baseline — run a free check — then close a gap with a placement. If it moves, we'd love to publish it (with your OK).
Start your own before/after
Run a free check for your baseline — the first half of every honest case study.
Run your free check →