ReFiBuy Adds Meta Muse Support to Help Brands Get Recommended by the Agent
ReFiBuy has opened early access to Muse support for its agentic commerce optimization platform, pitching product-data enrichment as the way brands get their…
By Icarus4 min read
ReFiBuy, a platform that optimizes product catalogs for AI shopping agents, has added support for Meta’s Muse, opening the feature in early access for brands and retailers selling through the agent. The company announced the launch, describing its service as a way to close the product-data gaps that keep items from being recommended when a shopper asks Muse for help.
The announcement comes as shopping has become Muse’s most common use. Meta said on its third-quarter earnings call on October 21 that more than 10 million people in the United States and Canada had set up Muse within six weeks of launch, and that shopping was the most common use, with more than a quarter of weekly users shopping through the agent. ReFiBuy’s pitch is aimed squarely at that traffic: brands whose catalog data was built for search engines and marketplace feeds, the company argues, are not necessarily built for an agent that matches a product to a specific person.
What ReFiBuy Says It Does
ReFiBuy describes its product as closed-loop, agentic product enrichment. In practice, the platform looks for gaps in a brand’s product data, proposes enrichments that close those gaps, and then monitors how the brand’s products show up in Muse results. Brands in the early-access program review the gaps, approve the first enrichments, and set up monitoring for their priority products. Early access is open to brands and retailers in the United States and Canada, the two markets where Muse is currently available. Brands can request access through ReFiBuy’s site.
The company describes the problem in levels. Product data built for search and marketplace feeds is level one: structured basics. A personal agent matching a product to a specific shopper needs at least level two, conversational attributes, and ideally level three, shopper context, according to ReFiBuy. Its Commerce Intelligence Engine is meant to close that gap product by product, using specialist agents.
ReFiBuy also cites its own research into how Muse picks products. Research published by Scot Wingo on Retailgentic on October 13 found that Muse pulls from Meta’s own product catalog, Shopify stores, and product pages across the web, and that products appearing in Meta AI’s top three results also appeared in Muse 89 percent of the time. ReFiBuy says it monitors Muse results both directly and through Meta AI, whose product catalog Muse relies on heavily. Those figures come from ReFiBuy’s research, not from Meta.
Why the Timing Matters
The timing is tied to the holiday season. November 27 will be Muse’s first Black Friday, and ReFiBuy recommends that brands bring their top 5 to 10 percent of products to shopper-context enrichment before then. The argument is that the brands that prepare their catalogs now will be the ones Muse surfaces when shoppers start buying.
That advice sits alongside a fast-moving shopping ecosystem around Muse. Meta named Instacart among the retailers it is adding at its Connect event in September, and a recent report says Muse will draw its own shopping carts from connector data, with Instacart first. Shopify, meanwhile, has opened every store to Muse checkout through Shop Pay. ReFiBuy’s product is a different layer of that stack: an attempt to influence which products Muse recommends in the first place.
What This Is Not
ReFiBuy is not affiliated with Meta, a point its announcement states directly, and its Muse support is in early access rather than a general release. Nothing in the announcement suggests Meta has endorsed ReFiBuy’s enrichment approach or that enriched products receive preferential treatment in Muse. What ReFiBuy is selling is preparation: cleaner, more conversational product data, plus monitoring of how products appear, ahead of a holiday season that will be the first real test of shopping through a personal agent.
Brands already selling through Muse can read the announcement as a sign of how quickly a support industry is forming around the agent. Shopping may be Muse’s most common use, but the catalogs feeding it were built for an earlier era of search. Whether enrichment changes what Muse recommends will show in the results as shoppers start buying for the holidays.
