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Personal agents

Muse knows your shoppers. Make sure it knows your products

ReFiBuy's agents enrich your product data so Muse has the details to explain why your product fits, with your team deciding what goes live.

Request early access See how it works
Illustration: a shopper asks Muse on a phone for walking shoes for 10 days in Italy. Muse answers with a fictional shoe, City Walker, citing details from its product data. Each underlined detail links to the enrichment behind it: the attribute ReFiBuy's agents added, its level of enrichment, its source fields and its approval. Fictional product.

Walking shoes for 10 days in Italy. One carry-on, three cities.

For your Rome trip in a women’s 8 wide, this one fits:

City Walker

$98

It grips on cobblestones, folds flat for a carry-on and goes from sightseeing to dinner.

Conversational attributes

question_and_answerApplied

Not set

QDo they grip on cobblestones?

AYes. The rubber lug outsole holds on stone and wet pavement.

From outsole_material, tread_pattern

What is Meta Muse?

Muse is Meta's personal AI agent, launched in September 2026. It knows a person's plans and preferences, from past conversations to email and calendar, and it brings all of that to every shopping request.

  • 10M+

    people set up Muse in six weeks1

  • 25%+

    of weekly users already shop with Muse1

  • $200+

    average order through Muse, travel included1

Your product data was built for search. Muse needs more

Most product data covers the basics: a title, a description and specs like size, color and material. Shoppers tell Muse who a product is for, where they're going and what it has to do.

How ReFiBuy prepares your products for Muse

One closed loop: find the gaps, fill them with your team’s approval, then see what Muse sees.

  1. Find the gaps

    ReFiBuy's agents evaluate your product data the way a shopping agent does and flag what's missing, from basic specs to the occasions and questions shoppers bring to Muse.

  2. Fill them, with sources

    Every gap gets conversational attributes and shopper context, like Q&A, use cases, occasions and fit, with the source for each detail. A reviewer agent checks the work, then your team's review rules decide what goes live.

  3. Monitor Muse results

    See whether your products show up in Muse, how they rank and whether the details are accurate. ReFiBuy monitors Muse results both directly and via the Meta AI product catalog, which Muse relies on heavily.

Give Muse more context to work with

Muse brings what it knows about the shopper. Enriched product data gives it the details to match.

Edit Suggestions for City Walker

3 of 18 suggestions, approved by your team

question_and_answer
Not setQ: Can I slip them on at airport security?
A: Yes. Fold the heel down and they slip on and off.
Sources
weight
Not setAbout 9 oz per shoe
Sources
usage_scenarios
Not set
  • Full days of sightseeing
  • Dinner out
  • Travel days
Sources
Approved by your teamApplied
MusePersonal agent

Comfortable shoes for a long travel day. I want to get through airport security fast.

Try the City Walker. The heel folds down, so they slip on and off at security, they weigh about 9 oz, and they're made for travel days.

From the product data

City Walker is a fictional product. Attribute names match ReFiBuy’s enrichment output; values and the Muse answer are illustrative.

Your team decides what goes live

Each suggestion sits next to the value it replaces and where it came from. Approved details sync to your Shopify store or your own systems, so they can appear on the product pages Muse reads.

  • AcceptApprove a suggestion as written.
  • EditChange the wording before it goes live.
  • RejectKeep the value you have today.
  • Set rulesLet high-confidence suggestions through and review the rest.

See what Muse sees

In ReFiBuy's research, 89% of products in Meta AI's top three also appeared in Muse. When a competitor wins, the details it has and you don't go into your team's next enrichment run.

Request early access

ReFiBuy Monitor dashboard showing research visibility, find visibility, competitors and top 3 rate for a demo account
ReFiBuy’s evaluation of a demo catalog’s AI visibility: how often it’s researched and found, who it competes with and how often it lands in the top 3.

ACO Everywhere

Different agents. One product data foundation

Agentic Commerce Optimization (ACO) starts with product data agents can use. What your team approves for Muse also strengthens your product data for answer engines, retailer agents and your own site.

Answer engines

Agents that answer shoppers' research questions.

ChatGPT, Microsoft Copilot, Google AI Mode

Explore answer engines

Retailer agents

Shopping agents on a retailer's own site.

Alexa for Shopping on Amazon

Explore Amazon

Personal agentsNew

Agents that shop for one person, with that person's context.

Meta Muse

Read the Muse research

ReFiBuy's research on how Muse finds products, how people use it and what Meta has said about it.

  • Oct 13, 2026

    5 Muse Optimization Best Practices for Merchants

    How Muse finds products, and what to fix first.

    Read on Retailgentic

  • Oct 20, 2026

    Part 2: Detailed Early Data on Muse Adoption

    Downloads, daily use and what people ask Muse to do.

    Read on Retailgentic

  • Oct 22, 2026

    Meta's Q3 earnings, through a Muse lens

    What Meta said about Muse and commerce.

    Read on Retailgentic

Get your catalog ready for Muse before Black Friday

Review gaps in your top products, approve the first enrichments and set up Muse monitoring with ReFiBuy's team.

Nov 27

Black Friday, Muse's first

Meta Muse for brands and retailers: frequently asked questions

How does Muse find products?

Mostly from Meta's product catalog, the same one behind Meta AI. Muse also reaches Shopify stores and reads product pages across the web.

How can brands prepare their product data for Muse?

Start with your priority products. Add the details shoppers bring to a personal agent: who the product is for, the occasion it suits, how it fits and the questions they ask.

What's included in Muse early access?

ReFiBuy's team works with yours to review gaps in your top 5 to 10 percent of SKUs, approve the first enrichments and set up Muse monitoring. It's open to brands and retailers in the U.S. and Canada.

Where do approved enrichments go?

Into the systems you already run, such as your Shopify store or an SFTP endpoint. From there, approved details can appear on your product pages, which Muse's browser reads.

Do changes publish automatically?

Only if you want them to. Your team sets the review rules: approve each change, or let high-confidence suggestions through and review the rest.

How does ReFiBuy monitor Muse?

Both directly and through Meta AI, whose product catalog Muse relies on heavily. In ReFiBuy's research, 89% of products in Meta AI's top three also appeared in Muse, and 73% of requests returned at least one identical listing (same product title, same seller) on both. Muse remembers each shopper, so the same request can return different products from one run to the next. That makes Meta AI the steadier read.

Is ReFiBuy affiliated with Meta?

No. ReFiBuy is independent and not affiliated with Meta.