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AI and Search

Google Search Live - what multimodal search means for paid advertisers

Adil Jain|AI Search|2026-05-04

Google expanded Search Live globally in March 2026. Users can now have voice and camera conversations with Google's AI search interface. This is not a future trend - it is live infrastructure change affecting how search queries are formed and how ads fit into the results.

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Search Live represents Google's clearest signal yet about where search is going. Rather than typing a query, users hold up their phone camera, ask a question verbally, and receive an AI-generated response that draws on what the camera sees alongside the spoken query. This shifts search from typed text intent to multimodal intent - combining visual, spatial, and conversational signals.

What it changes about query behaviour

Typed queries are constrained by how much people want to type. Voice queries are longer, more conversational, and more context-specific. Someone standing in front of a product in a shop and asking "is this a good deal compared to what I can get online" is a fundamentally different query to "cheap running shoes". The intent is more specific, the context is richer, and the decision point is immediate. For advertisers, this means the search queries your campaigns match to will increasingly include conversational and contextual language that did not exist in volume two years ago.

Implications for keyword strategy

Exact and phrase match keywords built around two to four word queries will miss multimodal search intent. Broad match with strong smart bidding signals becomes more relevant as query patterns diversify and lengthen. Search themes in Performance Max and AI Max become more important because they allow you to signal intent clusters rather than specific keyword strings. Building your keyword architecture around intent themes rather than specific query formats is a more durable strategy as search modality continues to evolve.

Local and visual intent

Search Live is particularly powerful for local and visual intent - the two categories where multimodal search has the clearest practical application. Pointing a camera at a restaurant and asking "is this place good for a business lunch?" draws on visual recognition, reviews, and conversational AI in combination. For local businesses, this reinforces the importance of strong Google Business Profile data, recent reviews, and accurate business information. For product-based businesses, it reinforces the importance of high-quality product imagery and complete product data in Merchant Center.

Paid ads in multimodal search

Google's ad formats are evolving alongside Search Live. Ads that appear within AI-generated responses - rather than above or below a traditional results list - depend on relevance to the conversational context rather than keyword match alone. Landing pages that directly answer specific questions perform better in this context than pages designed around general brand or product messaging. The practical implication is the same as for AI Overviews: structured content, direct answers, and strong page relevance matter more than ever.

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