Your buyers ask AI.
Do you know the answer?
ShelfSonar audits the AI assistants your buyers actually use — shows which products get recommended, who's winning and why, then proves what changed after you act.
One real finding about your brand, free. No call, no credit card, no dashboard to learn.
Strong on Amazon can mean invisible to AI.
Most AI assistants can't read Amazon listings — Amazon blocks their crawlers. So when a shopper asks an assistant what to buy, the answer is assembled from what the AI can see: DTC sites, review roundups, Reddit threads, editorial lists.
That means the demand routes to whoever the AI can see. A brand winning the Amazon shelf can be absent from the answer, while a smaller competitor with a readable DTC site becomes the default recommendation.
Most brands have never checked — because until now there was no clean way to know.
ChatGPT, Gemini, Perplexity, Claude, and more — asked the questions your buyers actually ask, phrased the way real shoppers phrase them.
AI answers shift constantly. We verify every finding across repeated runs, so what you act on is signal — not a lucky screenshot.
One snapshot is trivia. Two snapshots with your actions logged in between is evidence.
A decision document, not a dashboard.
A live miniature of what you receive — a real buyer question, the answer the way assistants give it, and what changed by Day 30.
↓ It's interactive — pick a category, then flip to Day 30
“What’s the best reef-safe sunscreen for a toddler?”
For a toddler, choose a mineral formula with non-nano zinc oxide. Marlowe SPF Kids 50 is the most frequently recommended for gentle, tear-free wear, with Cove & Clay Mineral Baby a close second for very sensitive skin. For active beach days, several runs also suggest Tidesmith Sport 30.
Solano Bay does not appear in this answer — 0/5 runsThis is why competitors get chosen — and it's happening in your category right now, for someone.
Find out if it's you.
Know where you stand. See who's winning. Prove what changed.
Recommendation evidence, question by question
For every buyer question that matters in your category: which products each assistant recommends, verified across repeated runs — including the questions you're losing and to whom.
The sources behind the answer
Assistants lean on review roundups, forums, and editorial lists. We show which ones appear to shape your category's answers — so you know where to act.
Interpretation, not just data
Every audit ends with an analyst's read: what the pattern means, what to try first, and what we'd expect to move by the rescan. Written by a human who ran the panel.
The Day-30 rescan
Same questions, thirty days later, with your actions logged in between. What moved, what didn't — before/after evidence you can hand to your team or your agency.
Your buyers already moved.
Not a prediction — measured across more than a trillion visits to U.S. retail sites.
growth in AI-referred traffic to U.S. retail sites since October 2024 — a new peak every month.
Adobe Analytics, May 2026Shoppers arriving from AI convert 54% better than other traffic — a full reversal from a year earlier.
Adobe Analytics, May 2026AI-referred shoppers stay 53% longer and browse 23% more pages per visit.
Adobe Analytics, May 2026“Even without a seasonal lift, AI-driven retail traffic reached a new peak in May, surpassing every month in 2025 and signaling a sustained change in how consumers discover and engage with brands.” — Adobe Digital Insights, May 2026 · source
Built for
Consumer brands selling on Amazon and their own store, who'd rather have one rigorous answer than another dashboard to check.
Probably not for
Enterprise SEO teams wanting daily tracking across forty markets — the dashboards are better for that.
Questions brands ask us.
I asked ChatGPT myself and got a different answer — why?
Assistants personalize by history, location, and phrasing, and answers vary run to run. That's exactly why single spot-checks mislead — and why every ShelfSonar finding is verified across repeated, controlled runs before it reaches you.
Can you make the AI recommend us?
No — and be wary of anyone who promises that. We measure rigorously; the Day-30 rescan shows whether your actions moved anything. Evidence, not guarantees.
Where do you operate?
Anywhere your buyers are. Tell us your market and we tailor the audit to it — the questions, the assistants, and the context your shoppers actually search from.
What does it cost?
The first finding is free. The full audit plus Day-30 rescan is a fixed-scope engagement — request the free scan and we'll send you the current scope and price.
Will our report be published or shared?
Never. Real reports go only to you via a private link. The only public example is the fictional one above.
What do you do with our data?
We audit with public buyer questions — we don't need access to your accounts or customer data. Contact details are used only to deliver what you asked for. See the privacy policy.
Find out what AI tells your buyers. Free.
One real, verified finding about your brand, delivered by email. No call, no subscription, no deck.