Google AI Mode
AI Mode is Google's conversational search experience, where a query is answered by a generated response with follow-up questions rather than by a page of links. Like AI Overviews, it is a Search surface: Google states that appearing in it requires only that a page be indexed and eligible to be shown in Search with a snippet, and that it may use query fan-out to gather a wider set of sources than a single query would.
How it differs from AI Overviews
AI Overviews are a block on a results page; the ten blue links are still underneath. AI Mode replaces the results page with a conversation, and the follow-up turn is the point — the buyer refines rather than reformulating a new search.
That has a real consequence for product data. In classic search a buyer types a compressed query and browses. In a conversation they add constraints one at a time: the right voltage, then the right mounting, then "in stock near Houston." Each turn is a filter applied against whatever the system knows, and a product drops out permanently at the first constraint it cannot demonstrably satisfy. A missing field is not a weaker result; it is elimination.
Query fan-out
Google documents that its AI features may use query fan-out, issuing multiple related searches behind one user question in order to surface a wider and more diverse set of helpful links.
The implication for a catalog is that you are not competing for one query. A question about high-bay lighting for a warehouse may fan out into mounting height, lumen requirements, DLC listing, and dimming compatibility as separate retrievals. Content that answers only the headline question participates in one of those; content that covers the constituent decisions participates in several. This is a decent argument for depth on application and selection content rather than breadth of near-identical category pages. Query fan-out has its own entry.
Shopping inside AI Mode
Google has been building shopping capability into AI Mode, backed by the Shopping Graph and, increasingly, by agentic features that can complete a purchase. That surface draws on Merchant Center feeds and crawled product data, which means feed quality and page quality both feed the same experience.
For a distributor the honest read is that most of this is built around consumer retail assumptions: published price, card checkout, national availability. B2B catalogs will be visible in the informational and comparison parts of the experience long before they are transactable in it, which is a good reason to prioritize being answerable over being checkoutable.
What to actually do about it
Nothing AI-Mode-specific, which is the useful conclusion. Google's own guidance says there are no special optimizations, and the mechanics support that: what changes your standing in a conversational, fanned-out retrieval is having the facts, in fields, in HTML.
The one behavioural shift worth planning for is constraint density. Conversational buyers state more constraints than search-box buyers, and every additional constraint is another attribute you either have or do not. Categories where your fill rate is thin on filterable specs are categories where you will silently drop out on turn three.
Frequently asked questions
What is Google AI Mode?
Google's conversational search experience, where a query returns a generated answer with follow-up questions rather than a page of links. It is a surface within Google Search, so the same indexing and snippet eligibility rules apply as for ordinary results and AI Overviews.
How is AI Mode different from AI Overviews?
AI Overviews are a summary block above conventional results. AI Mode replaces the results page with a conversation that supports follow-up turns. The practical difference is that buyers add constraints incrementally, so each additional constraint tests another attribute in your product record.
Do I need to do anything special to appear in AI Mode?
Google says no. Appearing requires being indexed and eligible to show in Search with a snippet, with no additional requirements or special optimizations. What differs is which content wins, since conversational queries carry more constraints than typed search queries do.
Can buyers purchase through AI Mode?
Google has been adding shopping and agentic purchase capability to the surface, built on the Shopping Graph and Merchant Center data. Those flows assume consumer-style transactions with published prices, so B2B catalogs will typically appear in the research and comparison stages well before they are transactable.