CitenzoAI visibility, before & after
A case study should show a real change you can measure — presence in AI answers before, and after. Citenzo is young, so instead of dressing up numbers we can't yet prove, here's exactly how the method works, walked through on a representative example.
We publish real customer results here as they come in — with the client's consent, or fully anonymized. Want to be one of the first? Tell us about your brand.
The method, in four steps
Every engagement runs the same loop. It's measured, not guaranteed — because AI answers are probabilistic, we baseline, act, and re-measure across many runs.
Baseline
Ask the engines the buying-intent questions your customers ask — repeatedly — and record who gets named, how often, and from which sources.
Find the gaps
Pinpoint the exact prompts and sources where a competitor is cited and you aren't. That gap list becomes the roadmap.
Get mentioned
Earn genuine, disclosed presence on those gap sources — roundups, reviews, communities, PR — so the engines have something to pull.
Re-measure
Run the same prompts again and confirm the lift in presence rate and share of voice — the proof the work moved the answer.
A worked walkthrough
Representative of a typical engagement — the shape of the numbers and the moves, not a specific client's data.
What closed the gap
- Inclusion in two "best project management tools" roundups the engines already cited
- A push for genuine, recent reviews on the category review sites AI leans on
- Helpful, on-topic presence in the community threads buyers were reading
- One data-led PR piece worth citing — then re-measured to confirm the lift
What every case study measures
The same metrics your Citenzo dashboard tracks — so "we got mentioned" becomes a number you can watch.
Of all your tracked prompts, the share of AI answers that name you at all.
How often you're named versus each competitor across the same prompts.
The exact pages engines pull from — so every win is traceable to a source.
When you are named, whether the mention is positive, neutral or negative.
The prompts and sources that flipped from "competitor only" to "us too".
The movement over time — because one lucky mention isn't visibility, a stable lift is.
Be one of our first case studies
Run the method on your brand with us. If it moves your AI visibility — and it's measured, so you'll know — we'd love to feature the result, with your consent or fully anonymized.