If a customer asked an AI agent to compare your products with a competitor's, would it find enough reliable information to make a useful recommendation? That is a question ecommerce businesses should be asking as Meta develops Muse.
My advice is to prepare the foundations now: accurate product information, a straightforward buying journey and clear controls over how your own team uses AI. Those improvements have commercial value whichever assistant your customers choose.
What Muse actually does
Meta introduced Muse on 8 September 2026 as a personal AI agent that can browse websites, complete tasks and make purchases with the user's approval. It runs on a dedicated virtual computer with its own browser. These capabilities make agent-assisted shopping a practical consideration for retailers. Meta's Muse launch announcement.
On 29 September, Meta announced Muse for Small Business, adding skills and connections to tools including Shopify, Klaviyo and Stripe, alongside Facebook Pages, Instagram professional analytics and Meta ad accounts. Meta describes uses such as analysing performance and drafting campaigns. Its announcement, updated on 8 October, lists availability in the US and Canada. UK businesses should check availability before planning a rollout. Meta's small business announcement.
Put your product information in order
Start with your best-selling products. Check titles, descriptions, dimensions, materials, compatibility, variants, stock and delivery information. A shopper comparing two items needs facts that explain which one suits their requirements.
Keep those facts consistent across your website, marketplace listings and product feeds. A size discrepancy or an out-of-date price creates uncertainty, whether the comparison is being made by a person or software.
Use relevant structured data accurately, and make important details available as readable page content. Treat this as sound ecommerce housekeeping. No particular markup can guarantee a recommendation from Muse.
Make the buying journey easy to understand
Review your store from product discovery through to checkout. Can a visitor find the right variant, see the total cost and understand the delivery promise? Are returns conditions and contact details easy to locate? Do error messages explain what needs fixing?
The possibility of agents navigating your store adds another reason to tackle these issues. I would begin with the same friction that already costs human customers time: confusing menus, broken filters, unclear buttons and unexpected charges.
Keep essential security checks. Test legitimate customer journeys before changing bot protection or checkout controls.
Give the agent a defined job
For your own operations, choose one bounded task where you can check the result. A useful first pilot might be a weekly review of product performance, or campaign drafts based on an approved product brief. Confirm that the relevant connection exposes the information you need before promising the team an automated workflow.
Meta says Muse for Small Business requires approval before publishing, sending or spending. Build your process around that checkpoint. Decide who reviews outputs, what they must check and which actions remain outside the pilot. Meta's small business announcement.
Connect only the accounts and data required. Review access permissions and data settings before using customer records or commercially sensitive information.
Protect the quality of your content
An AI draft still needs a product expert. Check every specification, offer, claim and delivery promise against an approved source. Give the reviewer a clear brief and enough time to correct the work.
Apply the same discipline to photography and influencer content. Images should show what customers will receive; demonstrations should reflect genuine product use. Keep useful buying guidance close to the product, including who it suits and any limitations. Strong content gives customers evidence for their decision.
Measure whether the work pays off
Before the pilot starts, record the time the task currently takes and the mistakes it commonly produces. Then measure review time, correction rates and whether the finished work gets used. A quick first draft has limited value if checking it takes longer than doing the job yourself.
For changes to your store, track conversion, checkout completion, returns and customer questions. Use identifiable referral data where available, but avoid attributing an unexplained sales increase to Muse.
Start with a practical readiness review
Choose one important product range, audit the buying journey and fix the information gaps. Where Muse is available to you, test one business task with a named reviewer and a clear success measure.
I help ecommerce businesses improve SEO, conversion, marketplace performance and the product content behind them. Book a conversation to identify the priorities for your business and where to start.