Patrick Robinson Consulting
When a buyer asks ChatGPT, Perplexity, Claude or Google’s AI for a recommendation in your category, a few names come back. I get you into that answer. One operator, one method — not an agency, not a retainer.
The offer
A productised audit, then done-for-you fixing. No discovery calls before paid work, no open-ended retainer.
01 — Audit
I run the buyer queries your customers actually type into AI search and tally where you get cited across Perplexity, ChatGPT, Claude and Gemini. Then I benchmark you against the competitors who do show up. You get a deck with the real numbers.
02 — Fix
Done-for-you: I write the content, build the citation surfaces, and add the schema that get you named when a buyer asks. The same work I do on my own site — nothing an AI engine would penalise in a future update.
03 — Async
Low-touch and async-first. You hand me the brief, I do the work, you review it on your own time. A deliberate capacity cap keeps the quality high — if you need a weekly call, I’m not your operator.
The proof
Before I quote a price, my own site is the first subject. Real before-and-after only — no sample data, no numbers a chatbot made up for a slide.
Case Study Zero
I started where most businesses start: cited in zero of seven category buyer queries. This is the Citation Engine run in public, on my own site, tracked over time.
See the baseline →Essays
Building-in-public writing on how AI search decides who to cite — including the one where I measured which AI SDR tools the answer engines actually recommend, and who has the citation gap.
Read the essays →Questions
When a buyer asks ChatGPT, Perplexity, Claude or Google’s AI for a recommendation in your category, the answer names a handful of companies. I write the content, citation surfaces and schema that get your business into that answer. In plain English: I make AI search mention you when someone asks for what you sell.
The Citation Engine is a fixed-scope audit followed by done-for-you fixing. First I measure your citation rate across Perplexity, ChatGPT, Claude and Gemini, benchmark you against your competitors, and ship a deck showing exactly where the gaps are. Then I write the content and build the citation surfaces that close them.
It is for tech-literate, funded founders who understand the AI-search shift but have no time to act on it themselves. If you have the time and skill to write your own citation surfaces, you do not need me. And if your product or your reviews are weak, fix those first — AI visibility will not paper over a real problem.
Most measurable change appears in four to eight weeks, not overnight. AI engines re-crawl and re-ground on their own schedule. Anyone promising instant results is selling the kind of tactics I left the industry over.
No. The work is low-touch and async-first by design — no mandatory discovery calls before paid work. That is a deliberate capacity cap, not a limitation to apologise for. The contact form is the front door for everything.
I run it on my own site first, in public. Case Study Zero starts from a measured baseline — cited in zero of seven category buyer queries — and tracks the real before-and-after. No sample data, and no numbers a chatbot invented for a slide.
Get in touch
No discovery calls before paid work. The contact form below is the right channel for everything else — press, peer questions, and audit inquiries.