Google Just Put Ads Inside AI Mode in India, And Your Existing Campaigns Are Already In
Google has begun serving ads directly inside AI Mode and AI Overview results, with India confirmed among the live markets. There is no opt-in, no separate campaign type, and no preview window. Your existing Search, Shopping, and Performance Max campaigns are already eligible. The question is whether the assets are written for a Google answer page, or for a Google AI answer.
For two years, Indian marketers watched Google AI Overviews from the sidelines, wondering when commercial intent would enter the answer panel. That wait is over. Google has confirmed that ads are now appearing inside AI Mode and AI Overview results in India, and they are being sourced from the same Search, Shopping, and Performance Max campaigns your team is already running.
The mechanics are deliberately simple. Text ads and Shopping ads from existing campaigns are eligible automatically. No new campaign type. No new bidding strategy. No checkbox to tick. Both the user's query and the content of the AI generated answer are used to decide which ads to surface, which is a meaningful departure from how traditional search ad auctions work. Sensitive verticals like finance and healthcare are excluded from this rollout for now.
// The Short Version
- Ads are now live inside Google AI Mode and AI Overview results in India.
- Eligible inventory comes from existing Search, Shopping, and Performance Max campaigns automatically.
- Auction signals include the user query and the content of the AI generated answer.
- Finance and healthcare are excluded from this phase of the rollout.
- The teams that win are the ones whose assets answer questions, not the ones whose assets repeat keywords.
Why this is the most important change in Indian search this year
Search ad auctions have always been a contest of relevance to a query. The advertiser whose ad most closely matched what the user typed, with the right Quality Score and bid, won the placement. That model is now being supplemented by a second layer of relevance: how well the ad fits inside an AI generated answer. The answer is itself synthesised from multiple sources, so the ad has to make sense alongside the AI's own framing of the topic.
This changes what a “good” ad asset looks like. Headlines built from disjointed keyword strings used to work because Google rewrote them at auction time to fit the query. Inside AI Mode, those headlines now have to coexist with conversational, full sentence answers. An ad that reads like a list of features will look out of place next to a paragraph that explains a concept. An ad that answers a question, in a tone close to the AI's own, will look native.
Your ad is no longer competing for the top of a list. It is competing to be part of an answer.
What Indian search behaviour already looks like
Two patterns in Indian search behaviour make this rollout particularly consequential. First, the share of conversational and question style queries has grown sharply in Tier 2 and Tier 3 cities, driven by voice search and multilingual typing. Queries like “best home loan interest rate near me with no foreclosure charges” or “which is the cheapest air cooler for Hyderabad summer” are now common. These are exactly the queries AI Mode is built to answer.
Second, Indian users spend a high share of total session time inside the answer panel before clicking anywhere. Whether the click happens at all depends on what the panel shows. If the AI answer fully resolves the query and the ads surrounding it feel useful, the click goes to the advertiser. If the answer is good but the ads feel like noise, the click goes nowhere, and the brand has effectively paid for an impression that delivered neither traffic nor learning.
The asset audit nobody is running yet
The next 30 days are a free reconnaissance window. Almost no Indian advertiser has restructured their assets for AI Mode yet, which means there is a competitive lane open for the brands that move first. The work is not theoretical, and it does not require new tooling. It requires a search terms report and a willingness to rewrite.
Open Google Ads. Pull a search terms report for the last 90 days. Sort by impressions, descending. Now look at the queries that are five or more words long, contain a question word (how, what, which, why, when, where), or include qualifiers like “best”, “vs”, “near me”, “for”, “without”. These are your AI Mode triggers. Most teams will discover that 15 to 25 percent of their impressions are already coming from queries of this shape, and almost none of their assets are written to address them.
How the asset has to change
Three structural shifts matter. Headlines need to read as direct answers, not as keyword stuffed slogans. A headline like “Buy Air Coolers Online” is a category claim. A headline like “Air Coolers Built For Hyderabad Heat” is a contextual answer. The second one fits inside an AI generated paragraph about Hyderabad summer cooling. The first one does not.
Descriptions need to anticipate follow up questions, not summarise the product. AI Mode often surfaces ads after the answer has already explained the basics. So the description should add the next layer: warranty, delivery time, comparison point, financing, locality. Anything that resolves the second question a buyer would ask.
Sitelinks need conversational labels. “Products” and “About” are dead links inside AI Mode. “Compare Models”, “Check Delivery”, “EMI Options”, “Read Reviews” are the kind of sitelinks that get clicked when the surrounding context is a long form answer.
DO TODAY Your AI Mode readiness audit
- Pull a 90 day search terms report from Google Ads this week. Filter for queries of five or more words, and for queries containing question words or qualifiers. This is your AI Mode inventory.
- Map each high impression conversational query to an existing asset. For each, ask: does my current headline, description, or sitelink directly answer this query? If not, the asset is failing AI Mode auctions silently.
- Rewrite headlines as direct answers, not category claims. Test a minimum of three answer style headlines per ad group, with one focused on a locality or use case specific phrasing.
- Tighten Performance Max asset groups around question intent. If your asset group is themed around a product, add a parallel theme around the buyer question. Group your assets by the question they answer, not by the SKU they sell.
- Track impression share and CTR on long tail question queries weekly. These are the leading indicators of whether your AI Mode presence is improving or eroding. Most dashboards do not track this segment by default. Build it.
What to watch for in the next 60 days
Three signals will tell you how AI Mode is reshaping your account. Watch the share of impressions coming from queries of five or more words. If that share is climbing while your CTR on those queries is flat or falling, your assets are mismatched to the new format. Watch the conversion rate gap between standard search impressions and AI Mode adjacent impressions. A widening gap means your landing pages are not aligned with the question framing of the ad. And watch your finance and healthcare exclusion. As the rollout matures, those verticals will likely come in, and the brands that have already learned the format will have a head start measured in months.
The Compass TakeAI Mode does not change what marketers should care about. It sharpens it. The ad assets that win inside an AI answer are the assets that answer a question clearly, in language the buyer used, with a follow up that respects their next decision. That has always been the brief. AI Mode just removes the option of getting away with anything less. The teams that translate their search asset libraries into question first frameworks now will compound a structural advantage in Indian search for the rest of this year.
The bigger picture
Every search update Google has shipped in the last decade has been a step toward answering, not listing. AI Mode is the version of that vision where ads are part of the answer itself, not a separate column next to it. For Indian advertisers, the implication is unusually clean. The campaign infrastructure already supports the format. The targeting already covers the geography. The only variable left is the writing inside the asset. The brands that treat their search assets as answers, written for buyers asking real questions in real Indian phrasing, will own the next phase of search visibility. The ones that keep optimising for keyword density will quietly disappear from the answer panel, without ever seeing a notification that anything changed.
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