Google has confirmed that advertising within its AI-powered search experience is expanding internationally, with ten additional markets included in the latest rollout.
Australia, Canada, India, Kenya, Malaysia, New Zealand, Nigeria, Pakistan, the Philippines, and Singapore are among the countries receiving access, while the UK, Brazil, and Mexico are scheduled to follow in Q4 2026.
The announcement marks another significant development in how Google intends to monetise AI-powered search.
For advertisers, it also raises an important question: how will existing Google Ads strategies need to adapt as consumers increasingly use conversational search to discover products and services?
How Google AI Mode Changes the Search Experience
Traditional Google searches typically rely on relatively short queries.
Someone looking for a new pair of running shoes might search for "best running shoes for men" before visiting several websites to compare products.
With AI Mode, that same customer can provide significantly more detail.
For example:
"I'm looking for comfortable running shoes for someone who runs three times a week, mostly on roads, has slightly wider feet and wants to spend under £150."
Rather than presenting a conventional list of search results, AI Mode can help users explore their options through a conversational experience.
Google reports that queries within AI Mode are, on average, three times longer than traditional searches.
This gives Google's advertising systems additional context about what a customer is looking for, potentially improving the relevance of the products and services being recommended.
For e-Commerce brands, this creates opportunities to reach customers whose requirements may not be fully captured by conventional keyword targeting.
Advertising Becomes Part of the Research Process
One of the more interesting developments is Google's introduction of multi-turn advertising within AI Mode in the United States.
This allows sponsored placements to appear during follow-up questions as users continue their conversations.
Consider someone researching a new coffee machine.
Their initial question might be about the differences between bean-to-cup and traditional espresso machines.
They might then ask which models are suitable for smaller kitchens, which require less maintenance, or which offer the best value under £500.
As the conversation develops, Google can identify increasingly specific commercial intent and introduce relevant sponsored products.
This could allow advertisers to engage potential customers earlier in the buying journey, including when they are still considering which product or brand best meets their requirements.
Importantly, ads remain clearly identified as sponsored placements.
What Does This Mean for Existing Google Ads Campaigns?
The encouraging news for advertisers is that Google isn't introducing an entirely separate advertising platform.
Existing eligible Search, Shopping and Performance Max campaigns can participate in AI Mode advertising through Google's established auction systems.
However, campaign targeting plays an important role in determining which opportunities advertisers can access.
Google has confirmed that AI-powered targeting methods, including broad match, AI Max for Search, Shopping and Performance Max, can match ads to both direct commercial searches and relevant conversational contexts.
Exact and phrase match keywords remain eligible for direct commercial queries, but don't provide the same contextual matching opportunities for broader exploratory questions.
This makes the quality of campaign signals, product data and conversion measurement increasingly important.
Advertisers will need to consider how effectively their campaigns communicate what they sell, who their products are suitable for and the value they offer.
Why Product Feed Optimisation Could Become Even More Important
For retailers, one of the biggest implications is the growing importance of Google Merchant Center product data.
Product feeds already influence how Google matches products to relevant Shopping searches.
As AI-powered search becomes more conversational, the information available about individual products could become even more valuable.
Take a retailer selling thousands of products across multiple categories.
A product title containing only a brand name and model number may provide limited context about its suitability for a particular customer.
A more comprehensive product feed, supported by accurate attributes, detailed descriptions, relevant imagery and competitive pricing, gives Google's systems more information to work with.
Retailers should pay particular attention to:
- Product titles and descriptions: Clearly communicating features, specifications and relevant use cases.
- Product attributes: Maintaining accurate information about size, colour, material, compatibility and other category-specific details.
- Pricing and availability: Ensuring product feeds reflect current website information.
- Product imagery: Providing high-quality images that help customers evaluate products.
- Landing page content: Making sure product pages answer the questions customers are likely to ask before purchasing.
For retailers managing extensive product catalogues, improving feed quality could become an increasingly important part of maintaining visibility across Google's advertising ecosystem.
Will AI Mode Change How Advertisers Measure Performance?
There are still several unanswered questions about how advertising performance within AI Mode will compare with traditional Search and Shopping placements.
Google says click-through rates for sponsored and organic product listings within AI Mode are already similar, based on its internal research.
However, this doesn't necessarily tell us whether those clicks convert at the same rate, generate higher average order values or attract more new customers.
These are the metrics that will ultimately matter to advertisers.
There is also a reporting limitation.
Google currently includes AI Mode advertising performance within existing campaign reporting rather than providing advertisers with a dedicated breakdown of AI Mode results.
That makes it difficult to isolate the incremental impact of these placements.
For e-Commerce businesses, the focus should remain on measuring overall commercial outcomes, including revenue, profitability, customer acquisition and return on advertising spend.
As adoption grows, advertisers will need to understand whether AI-powered search is generating additional demand or simply changing where existing demand is captured.
What Should UK Advertisers Be Doing Now?
Although Google has announced plans to introduce AI Mode advertising in the UK during Q4 2026, businesses don't need to wait for the rollout before reviewing their accounts.
At 360 OM, we believe there are five areas worth prioritising.
1. Review product feed quality
Ensure Merchant Center data provides comprehensive and accurate product information, particularly for products where specifications, compatibility or suitability influence purchasing decisions.
2. Evaluate campaign targeting
Review how broad match, AI Max, Shopping and Performance Max are being used across the account. Wider targeting should be supported by strong conversion data, appropriate exclusions and clear performance objectives.
3. Improve conversion measurement
Reliable purchase values, enhanced conversions and first-party data will help Google's bidding systems make better decisions as search behaviour evolves.
4. Strengthen product and landing page content
Detailed product descriptions, buying guides, FAQs and useful supporting content can help customers make informed decisions while providing Google's systems with better information about the business.
5. Maintain a commercial focus
New advertising placements don't automatically translate into incremental revenue.
Advertisers should continue evaluating performance against meaningful business metrics rather than increasing investment simply to participate in a new format.
Our View: Google Ads Is Moving Beyond Keywords
Google's expansion of AI Mode advertising reflects a broader shift in how its advertising systems interpret customer intent.
Keywords will continue to play an important role, but Google's ability to understand the context surrounding a search is becoming increasingly sophisticated.
For retailers, this places greater emphasis on product information, campaign structure, conversion signals and the overall quality of their e-Commerce experience.
It also presents a challenge for advertisers relying heavily on tightly controlled keyword strategies without considering how customers research products through more conversational experiences.
There is still plenty to learn about AI Mode advertising, particularly around conversion performance, reporting transparency and the incremental value it can deliver.
But the direction is clear.
Google is building an advertising experience that can connect brands with customers throughout a more detailed and interactive purchasing journey.
For businesses investing heavily in Google Shopping, Search and Performance Max, preparing for that change should already be part of their paid media strategy.
How 360 OM Can Help
At 360 OM, we help ecommerce brands improve performance across Google Ads, Shopping and Performance Max through advanced campaign management, product feed optimisation and data-led advertising strategies.
As Google continues introducing AI-powered advertising experiences, our focus remains on helping brands adapt while protecting efficiency, improving profitability and identifying opportunities to acquire more customers.
Want to understand how your Google Ads account is positioned for AI-powered search? Speak to the 360 OM team about reviewing your current strategy and identifying opportunities for improvement.
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