Free tool · ~30 seconds
Buyers ask AI before they buy. This free check queries live language-model APIs about your brand and scores what comes back, recognition, detail, recommendations, and confusion risk.
Methodology, in plain terms: a fixed 5-prompt brand-knowledge check against a frontier language model, recognition (40), detail (30), recommendation presence (20), confusion risk (10). Indicative, honest, and cached for 24 hours. Not a replication of consumer AI search products.
We run your brand through a fixed set of five prompts against a live frontier language model, then score the responses on four axes: recognition (does the model know the brand exists), detail (how much it can accurately say), recommendation presence (does it surface the brand when asked for providers), and confusion risk (is the name conflated with another business). The methodology is disclosed in full because that's how we'd want to be treated.
Not exactly, and we won't pretend otherwise. Consumer AI products add live web search on top of their base models. This check measures what a frontier model knows about your brand, the foundation layer those products build on. A brand invisible at this layer is fighting uphill everywhere else.
Language models are probabilistic, small variation between runs is normal, which is why results are cached for 24 hours and why trends matter more than single readings. A score of 30 vs 35 is noise; 30 vs 70 is signal.
A low score means AI engines can't confidently recognize or recommend your brand, which our AI Search practice exists to fix: entity grounding, earned citations, and quotable content. The gap plan the tool generates shows the first specific fixes; a scoped engagement goes deeper.
The brand name and generated report are cached briefly to power rate-limiting and the emailed copy you request. We don't sell data and we don't use tool inputs for anything except delivering your result. See the privacy policy.