How AI describes you is now part of your reputation.
Buyers, candidates, and partners increasingly use ChatGPT, Gemini, Perplexity, and Claude to find and vet companies. This work shows how those systems describe and recommend you, where the gaps are, and what to fix.
Search is no longer only a list of links. People ask a question and act on a single, synthesized answer, often without ever visiting your site. That answer is assembled from public sources you don't fully control. When it's incomplete, outdated, or quietly skewed toward a competitor, the cost is invisible: you simply aren't in the conversation. The first step is to see what AI is actually saying.
Four lenses on how AI sees you.
In plain terms, the work looks at four things.
Visibility gaps
Whether you appear at all when AI answers questions in your category, or sit off the shortlist entirely.
Competitive blind spots
Which competitors AI favors, why they win the recommendation, and where you're left out of the comparison.
Reputation & narrative risk
Whether AI describes you accurately, consistently, and in line with how you actually position yourself.
Missed opportunities
The specific, fixable moves that measurably improve how AI finds, describes, and recommends you.
Diagnose. Develop. Track.
Every engagement begins with a diagnostic. From there, the work follows a simple arc.
Diagnose
See where you stand: an Audit, a Competitive Analysis, or a Wikipedia Readiness Assessment.
Develop
Strategic content, or Wikipedia development where the path is credible.
Track
A quarterly read on how AI's view of you changes over time.
Gaps you can't see become patterns you can act on.
The hard part of AI visibility is that the gaps are invisible. The work turns them into clear, measurable patterns, like this share-of-voice read from a sample category.
Where to start.
Every engagement begins with a diagnostic. Three entry points, each a fixed price.
AI-Search Competitive Analysis
Why AI recommends your competitors and how to improve your standing.
VIEW SERVICE →Wikipedia Readiness Assessment
Whether you can credibly establish a Wikipedia presence before you invest in trying.
VIEW SERVICE →Content Development, Wikipedia Development, and quarterly AI Visibility Tracking are available to clients after a diagnostic.
See the work before you buy it.
AI visibility is an intangible deliverable, so the practice is built to be shown, not just described: a concise independent audit preview with headline findings and recommendations, a documented multi-engine method, and a named person accountable for the analysis.
View audit preview →Where category visibility carries weight.
This work fits founders and B2B leaders, marketing and communications teams, and PR groups protecting a brand's narrative. If category visibility and reputation shape your pipeline, this is built for you.
See how AI describes you, then decide what to do about it.
A short intro call is the fastest way to find the right starting point. No prep, no pressure, just a clear read on where you stand.
Book an intro call