We’d rather show our own work than invent yours. Here’s how AI Ranking Pro proves the method — honestly — while client case studies are still being earned.
An honest note up front — we don’t publish fabricated or anonymized “+300%” client results. In a field with no inclusion guarantees, invented numbers are a red flag. Our proof is our own audit, run in public.
The most honest case study we can offer is the one we run on ourselves. AI Ranking Pro applies its own methodology to its own category and publishes the result — including the prompts where engines omit or misrepresent us. You can read the full layout, with per-prompt evidence and numerator-over-denominator metrics, in the sample report, and see exactly how every number is produced in the methodology.
That means you can judge the method before you ever pay for it: same prompts, same engines, same scorecard you’d receive, applied to us.
Audit, publish, fix, re-measure — in the open, including the misses.
We’re opening a small number of design-partner spots. In exchange for a candid, evidence-backed write-up, partners get the audit at a reduced rate.
Get a full AI Visibility Audit and a re-measure at a reduced rate. In return, we publish an honest, evidence-backed account of what we found and what moved — including the limits of what changed.
Apply as a design partnerWe won’t fabricate metrics, anonymize fake logos, or promise a ranking or guaranteed inclusion in any engine. Every published result will carry its method, its denominator, and its caveats.
Read the methodologyWhen client case studies appear here, they’ll be the same shape as our self-audit: numerator over denominator, per engine, with captured evidence and honest caveats. We never promise rankings or inclusion — we measure visibility and improve the public evidence engines can read.
Read our public self-audit, or talk to us about a design-partner audit you can write up honestly.