The AI Shortlist Checklist
Get your shop ready for Meta's Muse shopping agent: into the pool it reads, past the checks on every page, and onto the shortlist when a shopper says your name.
Muse is the AI agent Meta launched on September 8, 2026 that can find products and check out for a shopper. Profound, a company that sells software tracking how AI agents treat brands, says it pulled Muse's shopping instructions on September 25. State of Brand, a trade publication, published what's in the file. Meta hasn't commented.
How sure is this? It's one document. Profound has a reason to want marketers paying attention, and State of Brand says so. Profound itself warns the file may have changed since late September. Treat it as a look at how these agents are being built, not as law.
So the checklist has two jobs: get found, then be the name the shopper types.
On each request, Muse runs two searches at once. One is Meta's product catalog, the product list behind shopping on Instagram and Facebook. The other is a browser visiting stores on the open web: no more than three per request, ten products at most.
In Profound's own test (50 requests, one category, one account, which it calls small and exploratory), the catalog supplied about 95% of the options, but most of the six products shown came from the browser. Its economist, Jennifer Zou, drew the line by size: if you're a smaller brand, "Shopify/Meta catalog integration is a more worthwhile investment."
Agentic checkout, in plain words: the agent buys inside the chat. Without it, Muse clicks through your own checkout, and in the file's words, "products without that capability have no cart."
Every page Muse finds reportedly has to pass a few checks, and prices outside the normal range for that product get thrown out, far above or far below. Run this on every product page, best sellers first.
Worth knowing. None of this moves you to the top. Once you're in the pool, the well-known names still go first. That's what job two is for.
Name a brand, and its own store goes first. So you're not only trying to be found by the agent. You're trying to be the word the shopper types into it.
You probably won't see Muse in your analytics. Profound says it doesn't identify itself when it browses, looks like a regular visitor, and its answers don't name the sites it read. So track the closest thing you can see to what the file rewards: how many people search for you by name, month after month.
Searches for our brand name: [NUMBER] Last month: [NUMBER]
Searches for our product names: [NUMBER] Last month: [NUMBER]
Page check done on: [PRODUCTS]
In Meta's catalog with checkout on: [yes / no]
New tagged Instagram posts: [NUMBER]
Sources
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Open your best seller's page today and tick the five page checks: one product, a real photo, visible stock, a price inside the normal range, and the size, fit or compatibility spelled out.
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