Every audit is done by me. Not a junior. Not a bot. One person, every time.
For a decade, I operated in high-acuity emergency and austere medical environments as a nurse and firefighter. I also led whitewater kayaking expeditions around the world to places no human has been before. All three demand the exact same discipline: strip away the noise, interpret the actual signals, and execute. No padding. No theatre.
GEO and Relevance Engineering are reshaping how buyers find vendors. I approach the work with zero tolerance for fluff: thousands of prompts across four engines, every citation personally reviewed against a calibrated rubric. The audits surface what AI engines actually weigh, and translate it into six-figure revenue impact for clients.
BeCited exists because I couldn’t find the audit I wanted to buy. Real data. Four engines. A plan, sequenced by what closes the gap first.
AI engines could generate this report in seconds. AI could fake the citations. AI could conflate your competitors. AI does. So I read every quote myself.
Six things most GEO tools won’t do.
Most “AI visibility” tools sell you a dashboard with a single score and a domain to monitor. BeCited sells you a calibrated report and a plan. Here’s the difference, line by line.
Mention-type classification (recommended vs. listed vs. mentioned in passing) is a judgment call. Scripts can’t do it honestly — AI engines fake citations and split brands across variants. I read every quote, twice.
ChatGPT, Claude, Perplexity, and Gemini. Each has its own bias, its own preferred sources, its own ranking. What works on Gemini doesn’t work on ChatGPT. Audits that only test one engine miss 60–75% of the picture.
Not 10 vanity queries. The audit budget scales with your services, cities, and competitors, and over half the prompts are high-intent — comparison, urgency, alternatives. That’s where the money is.
The deliverable isn’t a number on a dashboard. It’s four files: cover, brief, dashboard, playbook. The playbook ships with job tickets, target URLs, success metrics, and a 90-day timeline (This Week / 30D / 60D / 90D).
The mention-type rubric was inter-rater tested at Cohen’s κ = 0.722 — substantial agreement. Most GEO tools won’t publish their rubric, let alone calibrate it. Mine is open source, so you can challenge any score.
A score of “57” from 30 prompts isn’t a number; it’s a range. Every dimension ships with a binomial 95% CI so you can tell signal from noise — and don’t over-react to a 4-point movement that’s inside the margin.
Two free ways to start.
No signup. No sales call. Run either of these in your browser and see where you stand before you commit to a paid audit.
Revenue Calculator
Two sliders. Estimates the annual revenue you might be losing when AI engines skip your business. The paid audit measures your actual gap — this one shows the order of magnitude.
Open the calculator →Free Check
Drop in your URL and I’ll run the same site-readiness probe used in the paid audit — 18 AI-readiness signals, grades, top issues. No prompts captured at this tier; that’s the paid step.
Get the free scan →See your numbers.
$2,000. One week. 100–300 buying-intent prompts across four engines. One analyst, one report, one plan ranked by impact. Or run the free site scan first.