# Google Merchant Center Expands AI Performance Insights Availability to Canada Source: https://in-store.ca/blog/merchant-center-ai-performance-insights-a-weekly-playbook Published: 2026-09-17 Reviewed by: Andrew Liashok, Client Service Director, IN-STORE (https://in-store.ca/team/meet-andrew) Publisher: IN-STORE, Toronto, Canada > A weekly playbook for Merchant Center AI performance insights: what to check, where to tighten product info, and how to align landing pages. ### What To Review In Merchant Center, Where Feed Cleanups Matter, And How Landing Pages Can Keep Up If you sell products, gift cards, or bookable packages alongside your core service, your product visibility can shift based on how customers discover items through conversational experiences. That creates a new operational question for lean teams: what should you check each week, and what changes actually move the needle? Google has announced that AI performance insights in Merchant Center are available to businesses across Australia, Canada, India, New Zealand, and the U.S. The goal is to help merchants understand how customers discover products in these conversational experiences, then use that understanding to tighten product information and improve the path from discovery to conversion. Below is a practical weekly cadence you can run without an in house marketing team, plus a set of feed and landing page updates that tend to be the highest impact once you see what the insights are surfacing. ## What Google Announced, And Why It Matters Operationally Google says AI performance insights in Merchant Center are now available to businesses across Australia, Canada, India, New Zealand, and the U.S. Google positions these insights as a way for merchants to understand how customers discover products through conversational experiences. For a lean service business, the practical impact is workflow. Discovery can start with a conversational query, so the work shifts toward making sure your product data and landing pages answer the way people ask. Your weekly habit has to cover two systems at once: the product feed that powers how items get understood, and the landing page that closes the loop once someone clicks. ## A Weekly Review Cadence For Merchant Center AI Performance Insights Owners and small teams need a repeatable rhythm, not a one time audit. Treat Merchant Center AI performance insights as a short weekly checkpoint that feeds directly into your content and site backlog. ### Weekly: Identify Where Discovery Is Changing Use the insights to spot which products are gaining or losing visibility and traffic as conversational discovery plays a bigger role. The point is not to admire the graphs, it is to create a short list of items that need clearer product information or a better on page path. ### Weekly: Connect “What People Are Finding” To “What You Are Selling” When you see shifts in how customers discover products, translate that into a merchandising decision for your offer architecture. Service businesses that sell products or gift cards can use this moment to rethink how seasonal offers are packaged and how the purchase path works on site. For example, if discovery is happening around an intent that sounds like a conversation, the landing page should meet that intent immediately with the right package, the right context, and an easy next step. ### Weekly: Create Two Action Lists, Feed Fixes And Page Fixes Keep two running lists and prioritize what you can ship quickly: - Feed fixes: items where the product information needs tightening so conversational discovery has better inputs. - Landing page fixes: items where the page needs to better match how the product is being discovered, so clicks turn into purchases or inquiries. ## Feed Fields To Tighten When You See AI Led Discovery Shifts Google frames the feature around understanding discovery through conversational experiences, which raises the bar on clarity. If the insights show certain products getting discovered differently than expected, focus your updates on the fields that carry meaning and reduce ambiguity. The goal is to make your product information unmissable to both the system and the shopper. ### Make Product Information Match How Customers Describe It Conversational discovery tends to reflect how people talk, not just how you categorize inventory internally. Tightening your product information helps align what shoppers ask with what your feed is offering, so the right product has a better chance to show up for the right intent. ### Reduce Avoidable Confusion Across Similar Items If you have several variants that look similar to a shopper, small inconsistencies in product information can create mismatches between discovery and the click. Use the weekly insight review to flag products where visibility or traffic changes, then standardize your naming and descriptions so each item has a distinct, consistent identity. ### Do The Feed Work In The Same Sprint As Your Site Work Feed improvements and landing page improvements reinforce each other. When you tighten product information, you also create a clearer checklist for what the landing page must confirm. That is where lean teams win time: one decision, two updates, one measurable outcome you can monitor in Merchant Center. ## How To Align Landing Pages To Conversational Queries The insights are meant to explain discovery, but conversion happens after the click. If a shopper arrives with a conversational intent, the landing page should respond with context and a clean path to action that fits your business model. ### Match The Entry Point To The Offer Packaging For service businesses that also sell products or gift cards, align landing pages to the way your seasonal offer is packaged. If the discovery intent suggests a bundled solution or a giftable option, the landing page should make that packaging explicit right away, instead of forcing visitors to piece it together. ### Build A Conversion Path That Fits Both Product And Service Buyers Many GTA service businesses use product sales to support a larger service relationship. When conversational discovery brings in a shopper, the page needs to support both outcomes: a clean purchase flow for the product or gift card, and a clear secondary path for someone who wants the service itself. That structure can improve lead capture without fighting the product experience. ### Operational Tip: Treat These As UX Tasks, Not Copy Tasks Most landing page fixes are structural. The work is in the page hierarchy, the choices presented, and the next step. Copy edits matter, but the bigger gains often come from making the page easier to act on once someone arrives from a discovery moment you did not fully control. ## How IN-STORE Would Turn This Into A Managed Monthly System If you are running weekly checks in Merchant Center and finding the same bottleneck repeatedly, this is a signal to formalize the workflow. IN-STORE typically treats this as an SMB growth systems problem, connecting product discovery signals to content production, local visibility, and on site conversion. That can look like a monthly marketing partner scope that includes human guided automation for intake and publishing, a client portal marketing service view of what is in progress, and coordinated work across AI assisted content marketing, Website and UX, and lead generation systems. The goal is consistent execution: feed data and landing pages stay aligned as discovery patterns shift. Merchant Center AI performance insights are useful when they lead to action: a weekly review that produces a short list of feed and landing page edits, shipped consistently. If you want this turned into an all in one digital execution workflow, start with IN-STORE’s [Marketing, Sales, and Research services intake](https://intake.in-store.ca/services) to map what you sell, how customers discover it, and what to fix first. [Start with IN-STORE](https://www.in-store.ca/) to turn these weekly Merchant Center checks into a managed execution workflow. Source: [Google Blog: Google Shopping updates for the holiday shopping season](https://blog.google/products-and-platforms/products/shopping/google-shopping-updates-holiday-shopping/)