Google is adding more AI shopping tools to Merchant Center, and retailers should treat the update as a practical product data prompt rather than another reason to panic about AI search.
The update was announced around Google Marketing Live 2026. Google says retailers can use AI Performance Insights to understand brand visibility in AI-driven shopping experiences, and conversational attributes to improve how products are described for natural, question-led searches. It also points to Ask Advisor, an AI assistant expected to connect across Merchant Center, Google Ads and Google Analytics.
For retailers in Bath, Bristol, Somerset, Wiltshire, Dorset and Gloucestershire, the useful point is not that every shop suddenly needs a futuristic commerce strategy. Product feeds, product pages and measurement are becoming more important because Google’s shopping surfaces are becoming more conversational, automated and dependent on structured product understanding.
What Google has announced
Google’s retail update focuses on agentic shopping and AI-powered commerce. In plain English, that means Google is trying to make shopping journeys more helpful across Search, Gemini and other Google surfaces, with better product discovery, richer product information and more ways for shoppers to move from research to purchase.
Merchant Center sits at the middle of that for many retailers. It is where product data, availability, prices, images, shipping information and other listing details are managed. If AI shopping experiences need clear answers about products, Merchant Center is one place where that clarity has to live.
The new AI Performance Insights are designed to show retailers how visible their brand is in AI-driven shopping journeys. Conversational attributes are intended to help product descriptions reflect how people ask questions, compare options and narrow choices. Ask Advisor is being positioned as a connected AI helper across Google’s marketing products.
Why this matters for local and regional retailers
Many South West retailers already depend on Google in several quiet ways: organic search, Google Business Profile, Shopping listings, Performance Max, paid search, Maps visibility and website visits from people comparing options before they buy. AI shopping does not replace those channels overnight, but it does make messy product information more expensive.
A Bath homeware shop, a Bristol cycling retailer, a Somerset garden supplier or a Dorset fashion brand may all face the same basic question: can Google understand what is being sold, who it is for, whether it is available, and why it is a good match for a particular shopper?
If the answer is only half-clear, AI-driven shopping surfaces may struggle to represent the business well. It may simply mean product titles are vague, descriptions are thin, category structure is inconsistent, images are weak, availability is unreliable, or useful buying advice lives in a staff member’s head rather than on the site.
This connects closely with search marketing more broadly. Paid media, SEO, shopping feeds and website content are no longer neat separate boxes. They are different ways of explaining the same business to customers and platforms.
What retailers should check first
Start with the basics in Merchant Center. Check product titles, descriptions, prices, availability, shipping information, product identifiers and image quality. These are not glamorous tasks, but they decide whether products are eligible, understandable and competitive. A clever AI surface cannot rescue a product feed that is unclear or out of date.
Then look at the product page itself. Does it answer the questions a real buyer would ask? Size, fit, material, compatibility, care instructions, delivery times, returns, use cases and alternatives often matter more than a few extra adjectives. If customers regularly ask the same questions in store, by phone or by email, those answers may belong on the product page too.
For ecommerce teams using Google Ads, it is also worth checking how Shopping, Performance Max and remarketing activity are measured. If AI shopping creates more assisted journeys, last-click reporting may become even less satisfying. Retailers should keep an eye on product-level performance, new versus returning customers, margin, offline impact and traffic quality.
Do not turn this into an AI gimmick
The least useful response would be to rewrite every product description into breathless AI-friendly copy. Shoppers still need accurate information. Google still needs reliable data. Your team still needs to know which products are profitable, seasonal, constrained by stock, or better sold through advice than pure automation.
For smaller retailers, the best first move is disciplined housekeeping. Make the feed accurate. Make product pages genuinely useful. Keep store, delivery and returns information consistent. Use clear categories. Add relevant detail where it helps the buyer decide. Remove duplicate, outdated or misleading information.
That work also supports SEO in Bath and the surrounding region, because the same clarity that helps Merchant Center can help search engines and customers understand the site. AI shopping may be new, but clear product information is not.
What to watch next
Retailers should watch how quickly these tools roll out, which accounts receive them first, and whether the insights are useful enough to change day-to-day work. It will also be worth checking whether conversational attributes become a practical optimisation area or simply another interface layer over product information that should already have been strong.
The bigger direction is clear enough. Google wants commerce to work across more AI-assisted journeys, and retailer data needs to be ready for that. Local and regional retailers do not need to chase every announcement, but they should avoid treating Merchant Center as a set-and-forget feed pipe.
The calm takeaway: if your shop depends on Google Shopping, organic search or paid campaigns, use this update as a reason to audit your product data and product pages. The future may involve more AI, but the near-term work is ordinary: clearer feeds, better pages, cleaner measurement and a website that answers customers before they have to ask.
Sources
Google: How we’re helping retailers thrive with new Universal Commerce Protocol features and AI tools on Google
Google: Introducing Ask Advisor for marketers
