The free scan grades the signals on your site. Our audits run the real category queries your shoppers ask ChatGPT, Claude, Perplexity, and Gemini, and show whether they name you, rank you, or recommend a competitor instead.
On-site signals you control.
Off-site authority you earn.
When an assistant names a brand, it's echoing what its sources already say. That's why a flawless store can still go unnamed, and why this is the half worth measuring.
AI assistants do not just read your store. They pull from the sources they trust most: big reference sites, public data, and the places people actually talk, like Reddit and YouTube. So you can rank on page one of Google and still never show up in an AI answer. If the wider web does not back up your brand, the assistant points shoppers to a competitor it knows better.
Researchers at Princeton and Georgia Tech tested this directly. Pages backed by real citations, stats, and quotes showed up 30 to 40 percent more often in AI answers. Being talked about, with receipts, is what gets you surfaced.
What AI names tracks how often people search for you and where you show up across the web. It has little to do with how clean your theme is. The audit shows where you stand on the signals that actually decide it.
How often each assistant names you across the real category queries shoppers run, and where you rank when it does.
Whether Wikipedia, Wikidata, and the knowledge panels the models lean on actually know your brand exists.
Which sources the assistants cite for your category, and whether your brand shows up in any of them.
When you are mentioned, how you get described, and which competitors you get measured against.
A brand-by-query-by-assistant matrix: where you are named, where you rank, and where a competitor gets recommended instead.
One URL. No tag to install, no access to grant.
Real category prompts across ChatGPT, Claude, Perplexity, and Gemini, repeated to catch the variance.
Your recommendation rate, the misses, who got named instead, and a prioritized plan.
One-time. One store. No subscription. Report straight to your inbox in about 24 hours.
A fast, focused answer.
Your top category query asked across ChatGPT, Claude, Perplexity, and Gemini. Do you make the list, and who does? The fastest way to see where you stand.
The full picture.
Real questions across all your categories, all four assistants, repeated so the numbers mean something. You get your recommendation rate, exactly who gets named instead, the gaps holding you back, and a prioritized plan to close them.
For brands serious about owning their category.
Everything in the Audit, plus deep competitor teardowns, a 60-day re-check to prove the lift, and a working session to map the strategy.
Built for brands already serious about growth. Most stores start with the Audit.
Secure checkout. Full report in about 24 hours, straight to your inbox. No sales call.
The free score grades on-site signals: schema, crawlability, content, trust. It measures what an assistant can read about you. These audits measure the opposite end: whether those assistants actually recommend you when a shopper asks, which is driven by off-site authority you do not control from your theme.
We run real category prompts across all four assistants, several times each, and record whether your brand is named, where it ranks, and who gets recommended instead. Repetition smooths out the run-to-run randomness so the numbers mean something.
About 24 hours. The queries run on our side, then we compile the report and the plan and email it to you. No call, no scheduling.
Concrete and sequenced: the knowledge-graph entries to claim, the citation sources worth earning, and the framing gaps to close, ordered by how much each is likely to move your recommendation rate.
No. You can go straight to an audit. The free scan tells you what AI can read about your store; the audits tell you whether it recommends you. They are complementary, but neither requires the other.