Ads in Google AI Mode: What D2C Brands Need to Do in 2026

For years, a Google search result was a familiar shape: a few ads, then ten blue links. In 2026 that shape is dissolving. Google's AI Mode answers a query in prose, pulls together product recommendations, and increasingly carries ads inside the answer itself. For a D2C brand that has spent years learning how to win the top of a results page, the ground is moving.

At Google Marketing Live 2026, Google confirmed the direction on its Ads & Commerce blog: ads are coming to AI Mode and AI Overviews, with new formats built for a conversational, answer-first experience. Google also shared a striking number — it says 75% of people report making faster, more confident decisions using AI Mode in Search. If that holds, AI Mode isn't a sideshow; it's becoming a place where buying decisions actually get made. Here's what the new formats are, how they behave, and what an Indian D2C brand should change now.

What Google actually announced

Google's headline is that AI Mode, its conversational search experience powered by Gemini, will carry ads — and not as bolted-on banners, but as formats shaped to fit an answer. A few names matter for D2C.

Conversational Discovery Ads use Gemini to tailor the creative to the specific question a person asked. Google's own example is someone asking about low-maintenance ways to scent their home; the ad highlights the features that match that intent rather than showing one fixed message. AI-Powered Shopping Ads go a step further: Gemini generates a custom explainer describing why a particular product may suit the shopper, so the reasoning sits right next to the product. And Highlighted Answers let high-quality ads appear within the recommendation lists AI Mode produces, so a strong product can be surfaced inside the answer people are already reading.

The billing hasn't changed — the context has

None of this rewrites how you pay. Every one of these placements stays labelled "Sponsored", and they run on the same auction logic as the rest of Google Ads. What changes is the surrounding context. Instead of appearing above a list of links, your ad appears inside a synthesised answer, often beside an AI-written rationale you didn't script. That's the shift D2C teams need to sit with: Gemini is now co-writing the pitch.

Why this matters more for D2C than most

D2C brands live and die on product-level economics, and AI Mode leans hard on product-level data. When Gemini builds an explainer for an AI-powered shopping ad, it draws on your product attributes — the title, the description, the specs, the price, the availability in your Merchant Center feed. A thin or sloppy feed gives Gemini little to work with; a rich, accurate one gives it the raw material to make a genuinely persuasive case for your product over a competitor's.

This is a quiet but real change in where the selling happens. On a classic Shopping ad, your image and price did most of the talking. In AI Mode, an independent, Gemini-written explanation does a chunk of it — and it's built from your data, not your ad copy. The brands that feed the machine well will look sharper inside the answer; the ones running on autopilot will look generic.

Traditional Search ads vs ads in AI Mode

The table points to one conclusion: the inputs you've treated as back-office housekeeping — feed hygiene, attribute completeness, landing-page detail — are becoming front-line creative assets.

The Direct Offers pilot and native checkout

Google also expanded a Direct Offers pilot that bundles promotions — discounts, giveaways and local coupons — into these surfaces, plus native checkout for merchants on the Universal Commerce Protocol. For a D2C brand, native checkout inside the ad experience is worth watching closely, because every step you remove between intent and purchase tends to lift conversion. It's early and pilot-stage, so treat it as something to trial rather than rebuild around, but the trajectory is clear: Google wants the path from question to purchase to happen with fewer clicks.

What to do with a pilot you can't fully control

The honest answer is to keep your fundamentals clean so you're ready when eligibility widens. That means a Merchant Center account in good standing, promotions set up correctly, and pricing and stock data that update reliably. Pilots reward the brands that already have their house in order.

A practical 2026 checklist for Indian D2C

You can't directly place an ad "in AI Mode" the way you pick a placement — Google decides eligibility from your existing campaigns and assets. So the work is upstream. Here's where to spend effort.

Fix the feed first

Your Merchant Center feed is now doing double duty as sales copy. Make titles specific and human ("Cold-pressed groundnut oil, 1L, wood-churned" beats "Cooking Oil 1 Litre"). Fill in GTINs, brand, product type, material, size and colour. Keep price in rupees and availability accurate, because an AI explainer that recommends an out-of-stock product erodes trust fast. If you sell variants, structure them properly so Gemini can distinguish the 250ml from the 1L.

Make landing pages answer questions

AI Mode is built around questions, so your product and category pages should read like they're answering one. Put the specs, the price, the shipping timeline, the return and COD terms, and the "who is this for" details where both a shopper and a crawler can find them. Vague, mood-board landing pages that hide the facts below three scrolls of lifestyle imagery are exactly what this new surface punishes.

Keep your targets and exclusions disciplined

Because AI Mode inventory flows through Performance Max, Shopping and Search, the guardrails you already use still apply. Hold your target ROAS where your margins need it, exclude recent purchasers where relevant, and watch new-customer cost rather than only in-platform ROAS. A new surface is not a reason to loosen the economics — if anything, an unfamiliar placement is a reason to watch blended numbers more closely for a few weeks. This is the ongoing, unglamorous discipline our performance marketing team runs for D2C brands: strong inputs, tight targets, and honest measurement against contribution margin.

Don't abandon what still works

AI Mode is growing, but classic Search and Shopping are not gone. Most Indian D2C accounts will run a blend for a good while yet. The mistake would be to chase the shiny surface and neglect the campaigns still delivering most of your profitable orders. Treat AI Mode as an expanding channel to prepare for, not a switch to flip.

The takeaway

Ads in Google AI Mode change where your impressions come from and, more importantly, how the pitch gets made. With Gemini writing explainers from your product data and 75% of people reporting faster, more confident decisions in AI Mode (per Google's Marketing Live 2026 announcement), the brands that win will be the ones whose feeds, attributes and landing pages are accurate, specific and genuinely helpful. You can't buy your way into a good AI answer with a clever headline. You earn it with clean data and pages that actually answer the question — then you hold the same margin discipline you'd apply anywhere else. Get those inputs right now, and you'll be ready as the inventory opens up.

Sources: Google Ads & Commerce blog, "A new generation of ads for the AI era of Search" (Google Marketing Live 2026 — Conversational Discovery Ads, AI-Powered Shopping Ads, Highlighted Answers, Business Agent, Direct Offers pilot with native checkout for Universal Commerce Protocol merchants, all labelled "Sponsored" with Gemini-generated explainers; and the reported figure that 75% of people say they make faster, more confident decisions using AI Mode in Search).