AI & Product Discovery
The click is becoming optional.
AI Overviews answer product queries before users reach your ads. AI Mode lets shoppers discover products conversationally. And by 2026, autonomous agents may buy on their behalf.
The brands that adapt now will own the next era of product discovery. Those that don't will wonder where their traffic went.
What's Changing
Four shifts reshaping product discovery
These aren't future predictions. The first two are happening now. The second two are coming fast.
Zero-Click Product Discovery
AI Overviews answer product comparison queries directly in the SERP. Users get recommendations without clicking through to Shopping results or your product pages.
What it means: Click-through rates on Shopping ads for research-stage queries ("best", "vs", "top") are declining. The traffic you lose isn't going to competitors - it's not going anywhere.
Shopping Click Cannibalisation
When AI Overviews appear above Shopping results, they push product listings below the fold on mobile. Even when users do click, they've been pre-primed by the AI's recommendation.
What it means: Your Shopping CPCs may stay the same, but the traffic quality changes. Users who do click are either more committed (good) or more price-sensitive (problematic).
Conversational Commerce via AI Mode
Google's AI Mode enables conversational product discovery - users describe what they want in natural language and receive curated product suggestions. This bypasses traditional keyword targeting entirely.
What it means: Product data quality becomes more important than keyword strategy. AI Mode pulls from your product feed, reviews, and structured data to decide whether to recommend your product.
Autonomous Shopping Agents
Google's vision for 2026 includes AI agents that can browse, compare, and purchase on behalf of users. These agents evaluate products on price, reviews, availability, and return policies - not ad position.
What it means: Your product's machine-readable data (structured data, feed quality, merchant signals) becomes the primary sales tool. Agents don't see ads - they see data.
How to Adapt
Four strategic adaptations
You can't fight AI-mediated discovery. But you can position your products to win within it.
Feed Quality as Sales Infrastructure
In AI-mediated discovery, your product feed is your salesperson. Every attribute - title, description, GTIN, availability, shipping speed, return policy - influences whether an AI recommends your product.
- Comprehensive product attribute coverage (not just required fields)
- Structured return and shipping data in Merchant Centre
- Review aggregation and seller rating optimisation
- Product type taxonomy aligned with Google's category hierarchy
Structured Data for AI Extraction
AI Overviews and AI Mode pull from structured data to generate recommendations. Brands with comprehensive schema markup get cited. Those without get summarised - or ignored.
- Product schema with offers, reviews, and availability
- FAQ schema on product category pages for comparison queries
- HowTo and Article schema for content that supports purchase decisions
- SpeakableSpecification for voice and AI extraction readiness
Commercial Intent Segmentation
Not all queries are equally affected. AI Overviews dominate informational and comparison queries but have less impact on high-intent transactional searches. Your campaign structure should reflect this.
- Separate campaigns for research-stage vs. purchase-intent queries
- Budget reallocation toward high-commercial-intent terms
- Negative keyword governance for AI Overview-dominated queries
- Performance monitoring by query intent tier, not just keyword
Direct Offers & Merchant Signals
Google's Direct Offers protocol lets brands surface promotions directly in AI-mediated results. Shipping speed, return policies, and price competitiveness become ranking signals alongside ad spend.
- Merchant Centre promotions and sale price annotations
- Shipping speed data (same-day, next-day) as a competitive signal
- Loyalty programme integration for returning customer pricing
- Automated competitive price monitoring and feed adjustment
AI changes the surface. Commercial fundamentals don't.
Whether a human clicks an ad or an agent evaluates your product data, the question is the same: is this product worth buying? Our job is making sure the answer - and the margin - work in your favour.