When shoppers ask ChatGPT, Gemini or Claude what to buy, three products get named. ShelfShare moves you from buried to first, and proves every point of lift in orders.
Shoppers now ask an assistant for “the best” and get three products, not ten blue links. There’s no rank tracker for that answer, no Search Console, no playbook. A competitor winning the recommendation captures the sale, silently.
Three moves, one loop. The same loop that took the brand above from the seventh recommendation to the first.
Thousands of buyer-intent queries across every major engine, scored per product against named competitors, with confidence intervals.
A prioritized 30-day plan of one-click change sets (content, structured data, feeds, crawl access), each with full diff and rollback.
Living inside your store, every position gained ties to AI-attributed sessions and revenue, the number your board asks about.
Get early access and we’ll benchmark where your products stand across every major AI engine — your week-one position, before we move it.
SEO tools measure how search engines index your pages. ShelfShare measures what AI assistants actually say when shoppers ask what to buy — a different system, with different sources, ranked answers instead of links, and no analytics trail. We benchmark the answers themselves, at scale, across ChatGPT, Gemini and Claude.
ChatGPT, Gemini and Claude. Every benchmark runs across all three — no partial coverage sold as complete.
No. ShelfShare connects to your catalog with read-only access — products, categories, prices, images. We never touch checkout, customers, or orders.
Every number is stamped with its run date, and we nudge you when results are more than a couple of weeks old. AI engines change; your shelf moves with them — so re-running is a first-class action, not a workaround.
You keep the results — including the CSV. If you want to track movement over time, add categories, and put the recommendations to work with your team, talk to us about the Platform and Enterprise tiers.
Every benchmark costs real compute — hundreds of questions, three engines, many repeats. We onboard in batches so every brand gets a rigorous run, not a rationed one. Requesting early access reserves your free benchmark.