Ads in Google AI Mode Just Went Live in India: What Auto-Enrolled D2C Brands Should Do

Google flipped the switch, and India was on the list

For most of 2026, ads inside Google's AI Mode were a US story. Indian D2C founders read about them, filed them under "later," and moved on. That ended on Oct 28, 2026, when Google said it was scaling ads in AI Mode to ten more countries — and India was named in the same breath as Australia, Canada and Singapore.

If you're running Search, Shopping or Performance Max for your brand right now, this isn't a feature you'll switch on next quarter. It's already live in your account. Google's own wording is that eligible campaigns are enrolled automatically, with no setup from you. Your budgets, your bids, your assets — all of it can now surface inside an AI Mode answer when someone asks Google a question your products can solve.

So the useful question isn't "should we try this?" It's "this is already happening to our spend — what do we actually control, and what should we watch?"

What AI Mode is, and why ads there behave differently

AI Mode is Google's conversational search surface: instead of ten blue links, a shopper types a messy, full-sentence question and gets a generated answer with products and ads woven in. Google says ads there are clearly labelled "Sponsored," and that they draw from the same Search, Shopping and Performance Max campaigns you already run.

The behavioural shift sits in how people type. On Google's own US figures, queries in AI Mode run about three times longer than a traditional search. Someone who used to type "running shoes" now types "best cushioned running shoes for flat feet under ₹4,000 that ship fast." That's not a keyword — it's a brief. And it changes which brands win the slot.

Two things fall out of that for a D2C account:

Intent is richer, so mismatches get punished harder

A longer query carries price, use-case, and constraint all at once. If your feed title says "Men's Sports Shoe" and the shopper asked for "flat feet, under ₹4,000, fast shipping," the gap is obvious to the model. Thin product data that scraped by on short searches starts losing to brands whose titles and landing pages actually answer the full question.

The click is more considered

Google has said that, in its US testing, click-through rates between sponsored and organic product items inside AI Mode are already similar. Read that carefully: it's Google's internal data from a short US window, not an Indian benchmark, so treat it as a direction rather than a number to model your ROAS on. The honest takeaway is that the ad slot isn't being ignored — but the shopper arriving from a long, specific query expects the landing page to match.

There's a feed consequence too. Because the model is assembling an answer from product data, the brands that lose aren't always the ones with weak ads — they're the ones with lazy feeds. A product with a vague title, no size or material attributes, and a thin description gives the model almost nothing to match against a detailed question. For Indian D2C catalogues that were built fast for a quick Shopify launch, this is the moment that neglect starts costing impressions.

The part nobody's talking about: there's no clean opt-out

Here's the line that matters most for Indian media buyers. You cannot switch AI Mode off on its own. There's no checkbox that says "run everywhere except AI Mode." The only way to stop appearing there is to pause or restrict the very Search, Shopping and Performance Max campaigns feeding it — which also removes you from ordinary Google Search. For an Indian D2C brand, pulling out of Search to avoid AI Mode is cutting off your foot to fix a blister.

That's a deliberate design choice, and it means the "decision" most brands think they have isn't really there. The real decisions are about control inside the campaigns you're already running.

The controls that still work

The good news is that AI Mode didn't reset your account. The levers you already use carry over:

Negative keywords

Still honoured. Because AI Mode queries are longer and weirder, your negative list does more work now. Pull a search-terms report weekly for the first month and add negatives aggressively for the off-brief questions that will inevitably show up.

Brand exclusions and pinned assets

If you've pinned headlines or excluded competitor and brand terms, those instructions follow your ads into AI Mode. This is your main tool for keeping messaging on-voice when Google's model is assembling the answer around your ad.

Matching logic

Google has said exact and phrase match keywords are eligible in AI Mode only when the query itself shows clear commercial intent. That's a quiet reassurance: your tightly-matched brand and bottom-funnel keywords aren't suddenly firing on every rambling research question. Alongside that, Google uses contextual matching to decide when a product is relevant to the broader conversation, so a Performance Max campaign with a strong feed can surface even where you never built a keyword for the exact phrase. The practical read: keep your keyword hygiene tight, but don't assume keywords alone decide where you show — your feed and asset quality carry real weight here.

A 7-day check for Indian D2C accounts

You don't need a migration plan. You need a short audit, because spend is already flowing into a surface you've never watched. Run this over the next week.

Day 1–2: Read your search terms

Open the search-terms report and sort by the longest queries. These are your AI Mode-style searches. Flag the ones that are clearly off-brief and add them as negatives. Note which long, specific queries are converting — those tell you what to double down on in your feed.

Day 3–4: Tighten feed titles for Shopping and Performance Max

Rewrite your highest-spend product titles so they answer a full question: category, key attribute, price band, and a differentiator. "Cotton Kurta" becomes "Men's Cotton Kurta — Breathable, Regular Fit, ₹999." The model rewards titles that pre-answer the longer query.

Day 5: Pressure-test your landing pages

If a shopper lands after asking a detailed question, the page has to confirm the answer above the fold — price, the specific attribute they asked about, shipping speed, and COD availability for Indian buyers. A generic category page will bleed the click you just paid a premium for.

Day 6–7: Set your baseline

You won't get an AI Mode report line, so capture your current blended numbers now — CPC, conversion rate, ROAS by campaign — before this fully ramps. That baseline is the only way you'll later tell whether AI Mode helped or just reshuffled where your existing clicks came from. If you'd rather have someone watching those numbers daily through peak season, that's exactly what our performance marketing team does for D2C accounts.

What we don't know yet

Being straight about the gaps matters more than pretending this is settled. Google hasn't published India-specific performance data — the 3x-longer-query and CTR figures are from the US. We don't yet know how AI Mode volume will split against regular Search for Indian queries, or how quickly adoption will climb here. Google has said multiturn ads (where the ad can persist across a back-and-forth conversation) are launching in the US, with no stated India date. Treat your first month as measurement, not scaling: watch, log, and don't rewrite your whole strategy off a surface that's days old in this market.

Bottom line

Ads in AI Mode stopped being a US curiosity on Oct 28 and became a live part of every Indian D2C Google account overnight. There's no opt-out worth taking, so the work is control, not avoidance: tighten negatives, rewrite feed titles to answer full questions, make landing pages confirm the specific thing the shopper asked, and lock in a baseline before it scales. Treat the next month as a measurement exercise and you'll adapt calmly. Skip it, and come December you'll be staring at search numbers that moved for reasons your report can't explain.