---
title: "Google AI Mode for e-commerce: what to change on your site"
url: https://marketingsignals.com/insights/google-ai-mode-for-ecommerce
type: Article
date: 2026-11-02
author: "Sam Forrester"
---

# Google AI Mode for e-commerce: what to change on your site

How Google AI Mode changes e-commerce search: query fan-out, shopping answers, which pages get cited and what to change on category and product pages.

## Key takeaways

- Google AI Mode answers a long shopping question by running many related searches at once, so one answer can draw on category pages, product pages, guides and reviews from several sites.
- Google says AI Mode has no special requirements: pages must be indexable and useful, with structured data that matches the visible text and current Merchant Center data.
- Category pages earn citations when they explain the choice; product pages earn them when specifications, compatibility and policies are written out as text.
- Since 31 August 2026, Search Console's generative AI performance report shows impressions in AI Overviews and AI Mode by page, country and device, but not by query.
- Agentic checkout and Universal Cart launched in the US first; Google says checkout through its Universal Commerce Protocol will reach the UK later, so UK retailers have time to prepare their data.

Google AI Mode changes the first step of an online shopping journey. Instead of typing a short phrase and scanning a page of links and Shopping ads, a shopper can describe what they need in full sentences and get one composed answer, with products, comparisons and links to the sites it drew on.

For a head of e-commerce, the practical questions are which of your pages that answer uses, what it says about your products, and whether the traffic that follows is worth more or less than the clicks it replaces. The answers sit in your category templates, product copy and product data, which your team already controls.

This article explains how AI Mode builds a shopping answer, what we change on category and product pages, how to measure the effect with the reporting Google now provides, and where the effort is not yet worth it.

## Why AI Mode matters to your revenue

Google started rolling out [AI Mode in the UK on 28 July 2025](https://blog.google/company-news/inside-google/around-the-globe/google-europe/united-kingdom/ai-mode-search-uk/) and said early users were asking questions two or three times the length of traditional searches. Longer questions carry more of the shopper's constraints: budget, size, use, delivery date, what they already own. An answer that handles all of them leaves fewer reasons to open five retailer sites, so being one of the sources it uses matters more than holding one of ten positions.

The cost of ignoring it is quiet. Your rankings report can look stable while AI Mode handles the comparison stage of the journey with a competitor's buying guide and a marketplace's product data. You may still get the brand search at the end, but you have lost the chance to shape the shortlist. The benefit of getting it right is the reverse: your products described accurately, with your prices and policies, at the point the shopper is deciding.

Paid search is moving the same way. On 28 October 2026 Google said [ads in AI Mode](https://blog.google/products/ads-commerce/ads-in-ai-mode-global/) were scaling across ten countries and that it planned to expand to further locales, including the UK, in the fourth quarter of 2026. Shopping ads and organic shopping results both depend on your Merchant Center data, so fixing that data once pays off twice.

## How Google AI Mode builds a shopping answer

Google's documentation on [AI features and your website](https://developers.google.com/search/docs/appearance/ai-features) (last updated December 2025) says [AI Overviews](https://marketingsignals.com/glossary/ai-overviews) and AI Mode may use a [query fan-out](https://marketingsignals.com/glossary/query-fan-out) technique, issuing multiple related searches across subtopics and data sources, which lets them show a wider set of links than a classic results page. A question about waterproof walking boots for wide feet under £150 might fan out into searches about wide-fit sizing, waterproofing, specific models, prices and returns.

For shopping, Google described the result in [November 2025](https://blog.google/products/shopping/agentic-checkout-holiday-ai-shopping/): answers that show price, reviews and inventory, shoppable images for inspiration queries and comparison tables when someone is choosing between products, drawing on a Shopping Graph of more than 50 billion product listings, 2 billion of which are updated every hour. Those shopping features, and the agentic checkout announced with them, launched in the US first.

That gives three kinds of page a role in a single answer:

- Category and guide pages that explain the choice: what matters, which option suits whom and what the trade-offs are.
- Product pages and product data that confirm the specifics: price, stock, size, compatibility, delivery and returns.
- Third-party pages (reviews, forums, publishers and marketplaces) that confirm or contradict what you say about yourself.

[Google AI Mode](https://marketingsignals.com/glossary/google-ai-mode) does not need a new file or special markup. Google says there are no additional requirements or special optimisations needed to appear in it, beyond being indexed and eligible to show in Search. The work is making the right pages useful to a system that reads them in pieces.

## How we optimise category and product pages for AI Mode

We work on templates first and individual pages second, because on a catalogue of thousands of URLs a template change is what moves the numbers. The steps:

1. Map the questions behind each category. For every priority category we list the longer questions shoppers ask, from Search Console queries, on-site search logs, customer service tickets and People Also Ask. We then run those questions in AI Mode and record which sites and page types are cited, so we know whether we are competing with retailers, publishers or marketplaces.
2. Check that the cited pages can be read. Google's guidance is that important content should be available as text, pages should be crawlable and internally linked, and structured data should match the visible text. In our audits the usual failures are filters that create thousands of thin URLs, product details that load only after a click and size guides held in images.
3. Give category pages a short buying guide. Above or below the product grid we add copy that answers the questions from step 1: how to choose, which features matter for which use and which products in the range suit which buyer, with links to them. It stays short enough not to push products off the first screen, and the merchandising team owns it so it is updated when the range changes.
4. Write product facts as text. AI answers compare products on attributes, so every product page should state the ones shoppers compare: dimensions, materials, compatibility, care, what is in the box, who it is for and who it is not for. A specification table in HTML can be read; the same facts in a PDF or an image may not be.
5. Bring Merchant Center data into line with the page. Google's AI features guidance tells merchants to keep their Merchant Center information up to date. We check that price, availability, shipping and returns match across the feed, the page and the structured data, then add Merchant Center's [conversational attributes](https://support.google.com/merchants/answer/17085370) (such as question_and_answer, related_product and variant_option), which Google says can help products surface on AI-driven surfaces like AI Mode.
6. Mark up what the shopper can see. Product, Offer, shipping, returns and review markup should describe exactly what is on the page. Our article on [product pages and schema that AI answers can use](https://marketingsignals.com/insights/product-pages-and-schema-for-ai-answers) sets out the properties we prioritise and how we keep them in sync with the feed.
7. Close the gaps in third-party sources. Where AI Mode cites review sites, publishers or marketplaces for your category, we check what they say about your products and whether your products appear at all. Correcting a wrong specification on a marketplace listing, or earning a place in a respected comparison, can matter as much as changing your own page.

## What agentic checkout means for UK retailers

In November 2025 Google began rolling out agentic checkout in the US, buying from eligible merchants on a shopper's behalf. In May 2026 it announced [Universal Cart](https://blog.google/products-and-platforms/products/shopping/google-shopping-cart/), a cart that works across merchants in Search and the Gemini app, rolling out in the US, and said checkout through its Universal Commerce Protocol would reach Canada and Australia in the coming months and the UK later. Google says the retailer stays the merchant of record.

No UK date has been given. The preparation is the same work as for AI Mode today: complete, accurate product data that a machine can act on without guessing. A retailer whose prices, stock and policies already match across feed and page will have little to change when checkout arrives.

## How to measure AI Mode visibility

Google reports clicks and impressions from AI features inside the Search Console Performance report, within the Web search type, so they are mixed in with classic results. Since 31 August 2026 Search Console has also offered a [generative AI performance report](https://support.google.com/webmasters/answer/16984139) to all sites worldwide. It shows impressions from AI Overviews and AI Mode by page, country, device and date, counting an impression each time a link to your site is shown in a generative AI feature. It does not list queries and does not show clicks.

We report three things upwards:

- AI impressions by template (category pages, product pages and guides), trended monthly from the generative AI performance report.
- Prompt-level visibility: for a fixed set of shopping questions run in AI Mode, whether you are cited, which page is used and how your products are described. Our guide to [measuring performance in AI search](https://marketingsignals.com/insights/how-to-measure-performance-in-ai-search) explains how we set this up.
- Organic revenue on the pages you changed, compared with similar pages you did not change, so the effect of the work can be separated from seasonality.

Good looks like a rising share of AI impressions on category and product pages for your priority ranges, accurate descriptions of your products in answers and organic revenue to those templates holding or growing. Show leadership revenue alongside clicks from the start, so a change in click patterns is read against the number that matters.

## When it does not fit, and the mistakes we see

AI Mode work is not the first priority for every retailer, and some of the effort we see goes in the wrong place.

- If category and product pages have indexing problems, fix those first. A page Google has not indexed cannot be cited.
- If most revenue comes from repeat customers and brand searches, the gain is smaller. Check what answers say about your brand, correct what is wrong and stop there.
- Writing long category copy that pushes products down the page. The guide should help a shopper choose, not fill space.
- Building a separate page for every possible question. Fan-out means one strong page can be cited across many related questions, while hundreds of near-duplicate pages compete with each other.
- Treating AI visibility and Merchant Center as separate projects. A price mismatch between feed and page is a data problem wherever it shows up.
- Opting out without a plan. In June 2026 Google said it was beginning to test a Search Console control that lets sites choose whether to appear in generative AI features, and that [sites that opt out](https://blog.google/products-and-platforms/products/search/new-opportunities-control-and-insights-for-website-owners/) will not receive traffic or impressions from them.

## Questions to ask your team or agency

- For our top ten categories, which sites does AI Mode cite today, and why are we not among them?
- Which product facts that shoppers compare are missing from our pages or shown only in images?
- Do price, stock, shipping and returns match across Merchant Center, the page and the structured data?
- What does the generative AI performance report show for our category and product templates, and how has it moved?
- What would we need to change for agentic checkout when it reaches the UK?

## Where to start

Our [e-commerce visibility playbook](https://marketingsignals.com/playbooks/the-e-commerce-visibility-playbook) sets out the wider programme, with sector versions for [fashion e-commerce](https://marketingsignals.com/playbooks/the-visibility-playbook-for-fashion-e-commerce) and for [marketplaces and aggregators](https://marketingsignals.com/playbooks/the-visibility-playbook-for-marketplaces-and-aggregators). If you want an outside view of how your ranges appear in AI answers, our [AI search optimisation](https://marketingsignals.com/service/ai-search-optimisation) team can audit your priority categories.

## Frequently asked questions

### What is Google AI Mode?

Google AI Mode is a search mode that answers longer, more complex questions with an AI-generated response and links to supporting pages. Google says it uses a technique called query fan-out, breaking a question into subtopics and running many related searches at once. It launched in the UK on 28 July 2025 and appears as a tab on the results page and in the Google app.

### Do I need special schema or an llms.txt file to appear in Google AI Mode?

No. Google's documentation says there are no additional requirements or special optimisations needed to appear in AI Overviews or AI Mode, and that no new machine-readable files, AI text files or special schema.org markup are required. Pages need to be indexed and eligible to appear in Search, with structured data that matches the visible text and Merchant Center data kept up to date.

### How can I see AI Mode traffic in Search Console?

Clicks and impressions from AI Mode are included in the Search Console Performance report under the Web search type, combined with classic results. Since 31 August 2026 all sites also have a generative AI performance report, which shows impressions from AI Overviews and AI Mode by page, country, device and date. That report does not show queries or clicks.

### Is shopping in AI Mode available in the UK?

AI Mode itself has been available in the UK since July 2025. Google's agentic checkout and Universal Cart launched in the US first, and in May 2026 Google said checkout through its Universal Commerce Protocol would come to the UK after Canada and Australia, without giving a date. In October 2026 Google said it planned to bring ads in AI Mode to the UK in the fourth quarter of 2026.

### Which e-commerce pages does Google AI Mode cite?

AI Mode can cite any indexed page that helps answer part of the question, so a single shopping answer may draw on retailer category pages, product pages, buying guides, review sites and marketplaces. Category pages that explain how to choose, and product pages that state specifications, compatibility, price and policies in text, give it the most to use.

## Sources

- [Google: AI Mode now available on Google Search in the UK (28 July 2025)](https://blog.google/company-news/inside-google/around-the-globe/google-europe/united-kingdom/ai-mode-search-uk/)
- [Google Search Central: AI features and your website (last updated 10 December 2025)](https://developers.google.com/search/docs/appearance/ai-features)
- [Google: Let AI do the hard parts of your holiday shopping (13 November 2025)](https://blog.google/products/shopping/agentic-checkout-holiday-ai-shopping/)
- [Google: Google Shopping introduces Universal Cart, agentic shopping (19 May 2026)](https://blog.google/products-and-platforms/products/shopping/google-shopping-cart/)
- [Google: Ads in AI Mode expand to 10 new countries (28 October 2026)](https://blog.google/products/ads-commerce/ads-in-ai-mode-global/)
- [Google Merchant Center Help: How to use conversational attributes](https://support.google.com/merchants/answer/17085370)
- [Search Console Help: Generative AI performance report (Search)](https://support.google.com/webmasters/answer/16984139)
- [Google: New opportunities, control and insights for website owners (3 June 2026, updated 31 August 2026)](https://blog.google/products-and-platforms/products/search/new-opportunities-control-and-insights-for-website-owners/)

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