On November 1, 2026 Google’s Ads Decoded podcast revealed that AI-augmented search queries are three times longer than before and that one in six searches include images, video or voice. The change signals deeper user intent and new ways to reach shoppers on AI answer surfaces.
What happened
Google’s Ads Decoded podcast featured Shivani Mohan, Search Vice President of Data Science and User Experience Research, stating that query length "has increased 3x" and that "one in every six searches is multimodal." The episode explained that AI Overviews and AI Mode are prompting users to ask longer, multi-sentence questions and to attach visual or audio content. Host Ginny Marvin noted that ads on Google’s AI answer surfaces are matched to both the query and the content of the AI-generated response, and she highlighted six optional product data fields for retailers.
Why it matters
Longer queries indicate that users are engaging in more detailed research, often at later stages of the purchase funnel. When a search includes an image, video or voice element, the system evaluates the full context before selecting an ad. This expands the inventory of ad placements beyond traditional text-only results and gives advertisers richer signals to assess relevance. The multimodal share, one in six searches, means visual and audio cues will increasingly influence ad quality scores and placement decisions.
What this means for marketers
- Bid on the full AI answer: Since ads are matched to the entire AI response, consider higher bids for queries that generate comprehensive answers, as they reflect strong purchase intent.
- Supply complete product data: Ginny Marvin pointed retailers to six optional product data fields. Populating these fields helps Google surface products within AI answers.
- Add high-quality visual assets: Include strong images and videos in product feeds to capture the growing share of image- and video-based searches.
- Target conversational phrases: Optimize for longer, question-style keywords and their follow-up variations. Short-tail terms may miss the new search flow.
- Test AI-focused bidding strategies: Use automated bidding that accounts for AI answer relevance signals, such as expected conversion value from AI-driven placements.
The bottom line
Google’s data shows AI-enhanced searches are three times longer and increasingly multimodal. For marketers, this translates into higher-intent traffic and new ad placement opportunities on AI answer surfaces. Updating product feeds, adding visual assets, and adjusting bidding to reflect the broader context of AI responses will be essential to stay competitive.
Sources
- 1.ppc.land