AI shopping · channel management
Get your products recommended by AI assistants.
When someone asks ChatGPT, Gemini or Copilot for a product, only stores whose data those systems can read get recommended. See exactly how yours reads — in the next 60 seconds.
Why now
Shopping is moving into the assistant.
More buyers are starting with "ask ChatGPT" instead of "search and scroll." The assistant reads the web, picks a short list of products, and recommends them. That one shift changes who gets found — and it's happening fast, across every major assistant at once.
Growth in visits to U.S. retail sites from generative-AI sources like ChatGPT and Gemini — and it kept surging through 2025.
Nearly half of U.S. consumers used AI to shop in 2025; about two in three say they'll use it in 2026.
The assistants making these recommendations now reach close to a tenth of the world every week.
Sources: Adobe Analytics (2025) · PartnerCentric consumer survey (Dec 2025, n=1,004) · OpenAI (2025).
You're in the answer, or you're invisible
An assistant returns a handful of options — often just one. If your store isn't in it, the shopper never scrolls to find you. There's no second page to climb.
Readable stores get recommended, repeatedly
Assistants reuse the sources they can read and trust. Big retailers were wired in automatically; specialists were left out by default — not for being worse, but for product data machines can't read.
The gap widens as adoption grows
Every month more buyers ask an assistant first. Getting readable now is visibility — and sales — you'd otherwise hand to whichever competitor the assistant found easier to understand.
And it's high-intent traffic: shoppers who arrive from an AI assistant browse 12% more pages and bounce 23% less than other visitors. — Adobe Analytics, 2025
What we measure
Two questions, answered with real output.
Can assistants read your catalog at all — and when a buyer asks, do you get named, or does a competitor? We check both, across each surface, and show the receipts.
A plain-English score of how readable your catalog is to AI assistants, with the exact blockers.
For real buyer questions about your inventory: do you rank, lose to a competitor, or is it open?
When you lose, we name the stores the assistant recommended instead.
How it works
Audit → Enrich → Monitor
An enabler, not a dashboard: get in front of AI assistants, and stay there as they drift.
Audit
Paste your URL. We read the catalog the way an assistant does and score what's blocking visibility — blocked crawlers, missing barcodes, thin attributes, no structured data.
Enrich
The engine fixes it: completes identifiers, normalizes attributes, rewrites titles into buyer language, publishes structured data. We never invent a fact.
Monitor
Recurring multi-surface scans track where you rank, who beat you, and what opened up — as each assistant changes how it reads catalogs.
Surfaces
Every assistant reads differently — and keeps changing.
We measure each one on its own terms and track it over time.
OpenAI
Reads via search-grounded answers. Rewards clean structured data and confirmable identifiers. How it reads →
Grounds answers in search and feeds. Category and attribute discipline decide who surfaces. How it reads →
Microsoft
Rides emerging agentic-commerce rails. We track readiness as the protocol lands. How it reads →
Pricing
Open pricing. The audit is free.
Run the audit with no account. Subscribe when you want the fixes published and the scans on a cadence.
- Full audit + fix engine
- Monthly multi-surface scan
- 1 store
- Before/after tracking
- Everything in Starter
- Bi-weekly scans
- Larger catalog limits
- Competitor leaderboard tracking
- Everything in Growth
- Weekly scans
- Multiple stores
- Amazon listing playbook · API
Prices shown are launch placeholders.
Find out what the assistants see.
No install, no login. Paste your store URL and read the report.
Run your free audit See an example