The AI Visibility Audit is the diagnostic. It records how ChatGPT, Claude, Gemini and Grok answer when a buyer asks about your market and about you, scores the answers across four pillars and names the sources each model trusted. It’s also the baseline the program is measured against at day 90.
Get the Baseline How It WorksPeople ask the models specific questions and expect specific answers. “Who handles complex partition cases?” “Which developers have delivered mixed-use in Palm Beach County?” “Who should I hire for a commercial lease dispute?” Your company is either recommended or it isn’t. And unlike Google, there’s no analytics dashboard to show you what you’re missing.
AI models recommend a small subset of firms repeatedly. The rest are invisible, regardless of their actual capabilities or reputation.
Different AI platforms say different things. ChatGPT, Claude, Gemini and Grok each have their own view of your firm and their own blind spots.
Outdated information persists. A settled lawsuit, an executive who left or a product you retired can still be shaping the answer.
The models cite what’s already out there. If the third-party record about you is thin, they fill the gap with a directory listing or a competitor.
Most AI visibility services query one model. I query the current ChatGPT, Claude, Gemini and Grok models at the same time, because each draws on different sources, weights credibility differently and surfaces different competitors. A baseline has to show how all four see you.
Built for eight industries, focused on four. Custom and hybrid audits with hallucination detection, sentiment analysis and competitive benchmarking.
In September I opened ChatGPT in a fresh window, no login, no history, and asked the questions a buyer asks in the order a buyer asks them: is this guy legit, what does he charge, is he the right hire for a small real estate investment firm. Then the one that matters: who are the best PR people in Boca Raton?
It vetted me. It knew the bylines at The Information and the Los Angeles Business Journal, found a Business Insider profile and an op-ed, and dinged me for a website that promised testimonials and had none. “The claims it made with confidence were the ones a reporter had already checked. The claims it flagged as ‘worth investigating before paying’ were the ones only I had made.”
Then I asked for the best PR people in Boca Raton. ChatGPT pulled its answer from a directory site, and I wasn’t on it. The model liked me. It didn’t know where to put me.
It treated my website as advertising, which it should. Earned media is the thing the model trusts when it has to decide whether to believe you.
That’s the audit in miniature: what each model says, what it cited to say it and where the record is thin. The full field notes are on Narrative Violation.
The AI Visibility Audit examines four dimensions of your firm’s discoverability across ChatGPT, Claude, Gemini and Grok, weighted by their impact on AI recommendations.
How do AI models actually respond when prospects search for firms like yours?
What’s the credibility of your media footprint?
Is your digital foundation AI-readable?
Are you building thought leadership that AI can recognize and trust?
It measures. It doesn’t move the models. No report changes what ChatGPT says about you. Coverage does that, in the outlets the models cite, over months.
That’s why the audit is the first step of a 90-day program rather than a product on its own. Week one sets the baseline. The program earns the coverage and puts your leadership on the record. At day 90 I run the same prompts on the same four models and report what moved, what the models now cite and what to do next.
If the score doesn’t move, you’ll see that too. Same prompts, same scoring, so the comparison is honest.
Baseline across ChatGPT, Claude, Gemini and Grok. Score, sources, competitors.
Earned coverage from the reporters your market reads. Interviews, bylines, LinkedIn direction, selective awards.
Same prompts, same models. What moved, what they now cite, what’s next.
A monitoring dashboard counts mentions. The audit reads them the way an editor would.
Most AI visibility tools are built by technologists who count citations. This one was built by a former reporter who knows which sources carry weight and which don’t.
A Wall Street Journal feature and a Forbes Councils contributor post are not the same citation. Coverage is scored by outlet tier, with pay-for-play flagged, because that’s how the models weigh it and how a buyer does.
The models don’t know what year it is. The audit finds where they’re working from stale or wrong information about you: the old title, the discontinued product, the lawsuit that settled.
A 0-100 score with breakdown by pillar, showing exactly where you stand across all four AI platforms.
Side-by-side comparison showing how you stack up against key competitors across each platform’s responses.
Snapshot of your coverage organized by tier, with pay-for-play flagged and source authority scored.
Identification of outdated or inaccurate information in AI responses about your firm.
Prioritized action items to improve your AI visibility, from quick wins to long-term positioning.
Full documentation of exactly what each model said about your firm across every query.
At day 90, the same six run again against the baseline.
Litigation, real estate, corporate and specialty practices
Consulting, accounting, wealth management and other B2B firms
Developers, investors and commercial brokerages
Founder-led and mid-size companies whose buyers research vendors through AI
If referrals, credibility and public perception drive your business, AI visibility matters.
The audit is included in the 90-day program. It’s also available on its own, for companies that want the read before committing.
Baseline in week one. Earned coverage from the reporters your market reads. Your leadership on the record: interviews, bylines, LinkedIn direction, selective awards. Re-measurement at day 90. After the pilot, the work continues month to month.
A two-week diagnostic: the four-pillar score, the competitor benchmark, the source log and a findings call. Read it, then decide.
Scope depends on how many competitors, markets and people are in play. I’ll confirm it after a first conversation.
Start With a ConversationThe intake is short: company name, market, key people and three to five competitors. I take it from there.
Get the Baseline