The engine that makes AI recommend you.

We build your prompt set: the real questions your customers ask AI, from "best in the city" to comparisons, prices, and "is it worth it". Then I run a full baseline across ChatGPT, Claude, Perplexity, and Google AI, logging every business recommended and every source cited. This is the map: where you appear, where competitors own the answer, and which sources put them there.

Baseline visibility report · Tracked prompt set

Engines lean on a specific diet per industry: review platforms, directories, local press, forums, and best-of lists. I trace which sources actually drive recommendations in your category and audit your presence in each. Most businesses discover they're invisible in exactly the places engines read most.

Source authority map · Presence gap audit

Your site gets rebuilt for machine readers: structured data that declares who you are, what you do, and where; crawler access for the AI bots most sites accidentally block; consistent business details everywhere you're listed; and pages rewritten to be quotable, direct answers, real credentials, specifics an engine can lift into a recommendation.

Schema & crawler implementation · Quotable content rewrite

Most of what engines cite is earned, not owned. So we build your presence in the third-party sources they trust: review velocity where it counts, directory and list placements, local press, and expert commentary in your niche. This is the slowest lever and the strongest one, and it compounds monthly.

Mention pipeline · Review & listing programme

My tracking system re-runs your prompt set on schedule and logs every recommendation, yours and your competitors'. Each month you see citation share, what moved, what didn't, and where the next month's effort goes. No vanity metrics, just whether the engines name you more often than they did.

Monthly citation-share report · Next-cycle plan