Proof, not promises
What happens when AI starts recommending you. Real businesses, audited before and after, with the actual work in between.
The great restaurant that AI could not see
An award-winning Edinburgh restaurant went from #22 to #9 in AI recommendations in one quarter.
“Since we started working together, we've had noticeably more non-local customers finding and visiting our restaurant.” — Arun Ramanan
AI Visibility Rank · Indian restaurants · Edinburgh
Up 13 places · now on all 4 AI models
Before and after, in the answers that matter
Every case study starts with an audit. We ask the models the same questions real customers ask and record exactly where a brand stands. Then we do the work, and run the audit again to see what moved.
No vanity metrics. We report where a brand ranks in its field, which models mention it, and the citations that show AI is actually reading the new pages.
Audit first
A measured baseline across every major AI model before any work begins
Root-cause fixes
Every change answers a specific gap the audit found, not a hunch
Re-audit to prove it
We run the same prompts again, so the movement is measured, not claimed
