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
The Citation Engine is productised on purpose: you know the price, the deliverable and the timeline before you pay. Async by design, a deliberate capacity cap rather than an apology.
01 · The Audit
02 · The Engine
The audit price is credited against the first Engine month if you continue. No discovery calls before paid work.
Case Study Zero · Live
Seven buyer queries, four engines, re-measured as the fix ships. This is the same audit I sell: the honest before, in public, until the after shows up.
0 of 28 answer slots cite this site · cited in 0 of 7 buyer queries · baseline measured
Full methodology →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.
Original research
I measured 649 citation appearances across seven AEO questions, four engines and repeated runs. Vendor-owned pages dominated; independent comparisons were rare. Full dataset and methodology downloadable.
Read the report →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 doesn't understand how these engines actually work.
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.
Free · 60 seconds
Before you spend a penny on visibility, check whether the engines can fetch your pages at all. CDN settings hide more sites from AI search than bad content does.
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.
