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AI Overviews and AI Mode change how search results look, not how Google decides which pages are eligible. Google states there are no additional requirements to appear in either feature: a page must be indexed and eligible to show a snippet, and normal SEO best practices apply. For stores, that means the work that matters is the same work as before, done more thoroughly: crawlable category and product pages, accurate product data, content that answers real buying questions and up-to-date Merchant Center information.
This article sets out what Google officially says (as of its AI features documentation, last updated December 2025), the myths that keep circulating, and the practical changes worth making.
What AI Overviews and AI Mode are
- AI Overviews are AI-generated summaries that appear above or among normal results for some queries, with links to pages that support the answer.
- AI Mode is a more conversational search experience where people ask follow-up questions and get AI responses with links.
Both draw on Google's index. Google says they may use a "query fan-out" technique, issuing multiple related searches across subtopics and data sources, and that they can show a wider and more diverse set of links than classic results. For ecommerce, both features appear for research and comparison queries ("best running shoes for flat feet", "linen vs cotton sheets") as well as for product questions.
What Google says vs common myths
This table compares claims you will hear from vendors and social posts with Google's own documentation.
| Common claim | What Google says | What to do |
|---|---|---|
| You need an llms.txt or other AI file to appear | No new machine-readable files, AI text files or markup are needed | Spend the time on crawlability and content instead |
| Special schema gets you into AI Overviews | No special schema.org markup is needed; structured data should match visible text | Keep normal Product, Breadcrumb and Organization markup accurate |
| Pages must be rewritten or "chunked" for AI | There are no additional requirements; standard SEO best practices apply | Write clear, well-structured pages for people |
| Blocking Google-Extended keeps you out of AI Overviews | Google-Extended controls use for Gemini model training and grounding in some other Google products; it does not affect inclusion or ranking in Google Search | Use Search controls if you want to limit what appears in Search |
| There is a switch just for AI Overviews | Controls are the normal ones: nosnippet, data-nosnippet, max-snippet and noindex | Remember these also limit normal snippets, so use them sparingly |
| AI traffic cannot be measured | Traffic from AI features is included in Search Console's Performance report, under the Web search type | Track by page and query; it is not broken out separately |
| Valid markup or high rankings guarantee inclusion | Meeting the requirements does not guarantee crawling, indexing or serving | Measure outcomes, not checklists |
| Merchant Center does not matter for AI features | Google advises keeping Merchant Center and Business Profile information up to date | Treat feed quality as part of SEO |
Where Google's guidance is silent, such as exactly how pages are chosen for a given AI answer, treat confident claims with caution. The ranking systems behind these features change often, and Google does not publish a formula.
What actually changes for ecommerce
More research happens on the results page
For early-stage questions, shoppers may get a summary without clicking. Clicks that do happen often come from people with more specific needs. That raises the value of pages that go deeper than a summary can: detailed comparisons, sizing and compatibility help, and category pages with genuine buying advice.
Product data quality matters more
Shopping-related answers depend on knowing exactly what you sell, at what price and with what availability. Merchant Center feeds and product structured data are how Google gets that information reliably. Inconsistent prices between feed, markup and page, missing identifiers or vague titles all weaken your products as candidates. Our ecommerce SEO guide covers product page and structured data priorities in more detail.
Comparison and "best for" content gains weight
AI answers to "which should I buy" questions draw on pages that explain differences clearly. Stores are well placed to write these because they see returns, reviews and support questions. A good comparison page is specific, honest about trade-offs, and links to the categories it discusses.
Technical access is a quiet risk
Bot protection, CDN rules and firewalls added to stop scrapers sometimes block or slow Googlebot too. Google's guidance specifically mentions allowing crawling in robots.txt and in any CDN or hosting infrastructure. Check crawl stats in Search Console after changing security settings.
A practical checklist for store teams
- Confirm crawl access. Robots.txt, CDN and firewall rules allow Googlebot to reach categories, products and images.
- Fix indexing basics. Canonical, indexable product and category URLs; filters under control.
- Put key information in text. Specs, sizing, materials, compatibility and policies as HTML text, not only in images or PDFs.
- Align product data. Price, availability and identifiers match across the page, structured data and Merchant Center.
- Answer real buying questions. Add comparison and "how to choose" content for your biggest categories.
- Keep page experience good. Fast, stable category and product templates.
- Measure by page group. Track impressions and clicks for categories, products and guides in Search Console, and revenue by landing page in analytics.
None of these steps are AI-specific. That is the point: Google's position is that sites doing solid SEO are already doing what AI features need.
Beyond Google: other AI shopping surfaces
Shoppers also research in assistants such as ChatGPT, which have their own ways of finding and recommending products, often through feeds, partner programs and live web results. The requirements differ by platform and are changing quickly. Our article on ChatGPT shopping for merchants covers how that works. If you want to make your catalog usable by AI agents directly, see our AI for ecommerce services.
FAQ
Can I opt out of AI Overviews but stay in normal results?
Not with a dedicated switch. nosnippet and related controls limit what Google can show from your page in both AI features and normal snippets.
Will AI Overviews reduce my organic traffic?
It depends on your query mix. Informational queries are more exposed than product and brand queries. Compare clicks and impressions by page group in Search Console over time, rather than relying on industry-wide estimates.
Should I add an llms.txt file anyway?
Google says it is not needed for its AI features. Other platforms may treat it differently, so check their own documentation before spending time on it.
Mistri helps Adobe Commerce stores get the fundamentals right that AI features rely on, from crawl access to product data, as part of our Magento SEO services.
Sources
Google Search Central: AI features and your website; Google Search Central: Google's common crawlers (Google-Extended); Google Search Central: Robots meta tag, data-nosnippet and X-Robots-Tag; Google Search Central: Merchant listing structured data.
