Updated on February 12, 2026 | 2 minute read | Tess Werling
Home > Resources > Google Introducing Ads into AI Search Results; What It Means
Google has begun introducing advertising into AI-generated search queries, including AI Overviews and conversational search formats. These placements appear alongside or inside AI-generated answers and product recommendations, changing how users discover and choose products from Paid Ads. The AI responses help users discover relevant products and brands they might not have searched for during the research and discovery phase of their journey.
For e-commerce brands, this isn’t just a format update. It represents a structural shift in how visibility, competition, and product discovery work in paid search.
Instead of presenting users with a list of links, Google is increasingly delivering curated answers and product suggestions generated by AI models, with users asking, exploring and comparing in conversation. Ads can now appear within these AI-led experiences, not in traditional ads, meaning brands must compete to be included in AI-generated recommendations.
To be part of the competition for these new ad spaces, where competition is even greater than before, brands need to:
It is also worth noting that brands and competitors can appear in AI summaries even if they previously ranked lower in traditional search, which changes the playing field completely.
AI-driven ad placements rely heavily on structured product data to determine which products appear in AI-generated recommendations and shopping experiences, or conversations.
Google has emphasised that merchant feeds, structured product information, and data quality directly impact product visibility across its AI-powered shopping surfaces.
For e-commerce brands, this means feed optimisation is no longer just a Shopping Ads best practice but is now central to overall search visibility. By building high-quality product feeds with feed optimisation, your brand will improve your product understanding for AI systems and increase your eligibility for AI-generated recommendations.
AI answers often recommend products before users click through to traditional listings or comparison sites, moving competition into earlier discovery and research phases.
This means that new competitors can enter consideration earlier, and product data quality directly influences paid visibility.
Feed quality increasingly determines whether products are eligible for AI-driven recommendations and/or ad placements.
Understanding who appears alongside your products, and where, is now essential for protecting visibility and revenue (and these can be smaller brands than before)
AI search blurs the lines between organic results, shopping recommendations, and paid placements, requiring a more holistic approach to search visibility.
At Bidnamic, we combine AI technology with human expertise to help e-commerce brands maximise visibility and performance across evolving search environments.
We support brands by:
Our approach ensures brands stay competitive as Google search moves toward AI-driven product discovery.

