AI Perception
See your brand the way AI sees it — how well the major AI assistants recognize, understand, trust, and recommend you when your buyers ask.
About AI Perception
AI doesn't evaluate your company only by what you say on your website. It draws its conclusions from what it can find online — your website, reviews, testimonials, search results, citations, articles, and the way other sources describe your brand. And it isn't looking for an answer; it's looking for the right answer. Think of this report as your company's reputation through the eyes of AI.
Here's why that matters: you may describe your business as a premium service provider — but if AI only finds generic service pages, limited reviews, inconsistent citations, and no clear proof of results, it may describe you as a basic provider, or recommend a competitor with stronger trust signals.
This report measures how AI understands and evaluates your brand as a whole — whether it can clearly identify your company, understand what you offer, explain your value, find proof that you can be trusted, recognize what makes you different, judge whether you fit the buyer asking, and decide whether you're worth recommending. Every finding is backed by the model's own words, quoted and dated, and every weak signal becomes a task in your Playbook.
You may describe your business as a premium service provider — but if AI only finds generic service pages, limited reviews, inconsistent citations, and no clear proof of results, it may describe you as a basic provider, or recommend a competitor with stronger trust signals.
The seven stages we score
Use this page to understand where AI's perception of your brand is strong, unclear, or working against you.
Inside the report
Seven stages, one story: how far AI's confidence in you survives — from Recognized all the way to Recommended. Each stage needs more support and evidence than the last to survive into the next, so the funnel shows exactly where your name falls off and how you're positioned at every step. The largest drop is called out, with the Playbook fixes that target it.
Every stage opens into the full picture: what the stage measures, why it matters, the evidence from your scan — quoted from the models themselves — and the recommended fixes that repair it. What has to be fixed, what the problem is, and where it went wrong, in one view.
Even when AI knows you, something usually makes it pause before recommending you. The Hesitation Benchmark isolates why — surfacing up to six themes where AI hesitates on your brand, each tied to the funnel stages it affects, with the exact conflict explained and what a buyer is thinking when they hit it.
What your gaps mean
Every pattern of scores points to a specific kind of fix.
The goal is not just for AI to know your company exists — it's for AI to understand, trust, differentiate, and confidently recommend your brand.