EcommerceIndustry ContextWednesday, July 22, 20264 min read

ReFiBuy introduces ACO Everywhere and Amazon Alexa for Shopping Optimisation

Tamebay2h agoamazonebaywalmart
ReFiBuy introduces ACO Everywhere and Amazon Alexa for Shopping Optimisation
Executive Summary

ReFiBuy, the company that coined Agentic Commerce Optimisation (ACO), today introduced ACO Everywhere. The new strategy helps brands compete across every channel as agentic commerce empowers shoppers to research, find, and buy exactly what they want—when and where they want it. ReFiBuy also opened applications for its Design Partner Program for Amazon. The program gives […]

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ReFiBuy, the company that coined Agentic Commerce Optimisation (ACO), today introduced ACO Everywhere. The new strategy helps brands compete across every channel as agentic commerce empowers shoppers to research, find, and buy exactly what they want—when and where they want it. ReFiBuy also opened applications for its Design Partner Program for Amazon.

The program gives select brands early access to product evaluation, optimisation, distribution, and monitoring built specifically for Amazon’s Alexa for Shopping—closing the loop between catalogue optimisation and Alexa for Shopping performance.

Building a feedback loop between selling surfaces, shopping agents, shopper behavior, and the merchant’s product catalogue ACO Everywhere is designed to turn real agent behavior into catalogue optimisation—delivering enhanced, current, and rich product data to every selling surface.

To close the loop, it pulls shopper and agent context back into a next-generation catalogue that continuously improves in response to consumer shopping signals and agentic context from every surface The ACO Everywhere system includes selling surfaces such as answer engines, retailer-hosted agents, and brand-owned (brand. com) shopping experiences.

Each surface has distinct retrieval, ranking, and recommendation mechanics and requires its own bespoke optimisation playbook.

Yet they all depend on the same core question: Does the underlying catalogue give an agent enough accurate, relevant product content to map the rapidly growing volume of shopper intent expressed through AI agents to the brand’s products and recommend them with confidence?

Legacy-era, point-solution, and single-surface commerce tools are structurally limited because they lack the feedback loop that connects catalogue enrichments and other changes to outcomes such as increased conversions and sales.

ReFiBuy is singular in closing that loop—connecting the product catalogue to selling surfaces and enabling context capture so commerce teams can identify what needs to change, approve and distribute updates, monitor how agents respond, and use that context to improve KPIs with each iteration.

Over the last year, we have optimised more than one million SKUs across answer engines for our brand and retail customers, successfully increasing their agentic commerce sales, In that process, as the leader in the space on the front lines of agentic commerce, we have learned that to keep up with rapidly changing shopper behaviors and tastes, we need a new way to think about the product catalogue.

It’s no longer a static CSV file. It’s a continuously improving product-level context system that uses feedback loops to adapt to all the signals coming from the myriad selling surfaces. The future of agentic commerce is ACO Everywhere.

– Scot Wingo, CEO and Co-founder, ReFiBuy Bringing ACO Everywhere to Amazon’s Alexa for Shopping For brands, strong performance in Amazon search no longer guarantees you are found.

A product can rank well and still lose an Alexa for Shopping comparison because an important shopper question goes unanswered, a use case is unclear, negative product perceptions are left unaddressed, or a competitor provides stronger evidence of fit. That shift is already happening at scale.

Amazon says Rufus, now Alexa for Shopping, was used by more than 300 million customers in 2025 and helped drive nearly $12 billion in incremental annualised sales. ReFiBuy connects Amazon-specific product evaluation with live Alexa for Shopping monitoring.

Brands can see where their product data needs to improve, how Alexa responds to real-world shopping prompts, which products it recommends, and how those results change after catalogue updates. Over the last six years, I’ve handcrafted tens of thousands of 1P and 3P Amazon listings for Amazon SEO and now for Rufus and Alexa for Shopping.

What I’ve learned, and what the data makes clear, is that merchants can increase sales by 10–30% or more by providing Alexa for Shopping with the information it needs to recommend their products. Conversely, where the listing has gaps, you have opened a doorway to a competitor.

– Andrew Bell, VP of Research, ReFiBuy Through the Design Partner Program, ReFiBuy will work with select brands to: Ingest and map product catalogue and Amazon listings Score Amazon listings against Alexa for Shopping best practices Generate, enrich, and route recommended improvements through human review workflows Distribute approved updates through existing product-data and Amazon workflows to update 1P or 3P listings Monitor how SKUs appear in Alexa for Shopping, capturing the agentic shelf, prompt pills, and other valuable context Close the loop by applying insights from each iteration to the next round of evaluation and optimization Founding partners will also receive ReFiBuy’s Amazon ACO research and proprietary playbook, hands-on guidance, and an opportunity to provide strategic input into the company’s Amazon roadmap.

Original Source

This briefing is based on reporting from Tamebay. Use the original post for full primary-source context.

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