Google AI Overviews Just Got Conversational. Here's What Changes for Brand Discovery

Google just made three changes to AI Overviews. Most of the coverage is about model benchmarks and developer APIs. Almost nobody is asking the question that matters for brands: what happens when the world's most-used search engine turns every query into a conversation?

Here's what changed, and why it matters more in India than anywhere else.

What Google actually changed

Three updates, all rolling out globally:

1. Gemini 3 is now the default model for AI Overviews. Every AI Overview you see on Google — across 200+ countries and 40 languages — is now powered by Gemini 3. This replaces the previous model and brings significantly better reasoning, multilingual understanding, and citation accuracy to the 2 billion monthly users who interact with AI Overviews.

2. Users can jump from AI Overviews directly into AI Mode. This is the bigger shift. When you see an AI Overview, you can now tap a follow-up question and enter a full conversational experience — Google's AI Mode — without losing context. The AI Overview becomes the opening move in a multi-turn conversation.

3. AI Overviews are expanding into more query types. Google is showing AI Overviews for a broader range of searches, including more product and brand queries. According to Google, the feature drives over 10% more queries globally for the types of searches that trigger it.

That's it. Three changes. But they reshape how brands get discovered on Google.

The new discovery funnel — overview first, conversation second

The old Google search funnel was simple: query, list of links, click.

The new funnel looks like this: query, AI summary with citations, conversational follow-up, maybe a click.

This is a fundamental shift. A brand that gets mentioned in the AI Overview but doesn't show up in the follow-up conversation loses the user at step two. And with AI Mode now directly accessible from AI Overviews, step two is where the high-intent action happens — the comparison questions, the "which one should I actually buy" follow-ups, the specifics.

Think about what this means for a query like "best luggage brand in India." Google shows an AI Overview naming three brands. The user taps "how do they compare on durability?" and enters AI Mode. If your brand was in the overview but your content doesn't answer durability questions in a way Gemini can cite, you just vanished from the conversation that actually drives the purchase decision.

Two different citation contexts. Two different chances to appear — or disappear.

Why Gemini 3 as default matters for Indian brands

India is Google's most important growth market for search. Google holds over 90% search market share in the country. When Google changes AI Overviews, it changes how hundreds of millions of Indians discover products.

Gemini 3 — and its successor Gemini 3.1 Pro, which Google released into preview on February 19 as the next step in this model family — brings capabilities that matter specifically for Indian brand queries:

Better multilingual understanding. Gemini 3.1 Pro scored highest on 13 out of 16 major benchmarks, including 77.1% on ARC-AGI-2 and 94.3% on GPQA Diamond — the highest ever recorded on that benchmark. More relevant for Indian brands: it handles Hindi, Hinglish, and code-switched queries with significantly more nuance than its predecessor. A user searching in Hinglish for "best backpack brand India mein" now gets a more accurate, India-relevant AI Overview.

Gemini visibility now equals Google visibility. This is the connection most brand marketers haven't made yet. In our India D2C Travel GEO Benchmark, we documented extreme platform variance — Mokobara scored a 96% mention rate on Gemini but near-zero on some other platforms. That variance used to mean Gemini was "just one platform." Now that Gemini powers Google AI Overviews, your Gemini visibility score is effectively your Google AI visibility score.

If your brand scores well on Gemini in GEO audits, you're likely showing up in AI Overviews too. If you score poorly on Gemini, you have a Google-sized problem.

More structured, comparison-friendly answers. Gemini 3 produces more detailed product comparisons and is better at pulling structured data — specs, pricing tiers, feature tables — into AI Overviews. Brands with well-structured product pages and clear differentiation get cited more precisely. Brands with vague, marketing-speak product descriptions get skipped.

Here's how the Google AI discovery landscape has shifted:

What this means for your GEO strategy

Three practical implications:

1. Your content must answer follow-up questions, not just the initial query. AI Mode conversations go deeper than AI Overviews. If your content covers "best luggage brand in India" but doesn't address "which has the best warranty" or "how does it compare to [competitor] on cabin size" — you get cited in the overview and dropped in the conversation. Build content depth, not just breadth.

2. Structured data matters more than ever. Gemini 3 relies heavily on structured signals for product and brand queries — schema markup, comparison tables, clear product specifications, FAQ sections. This isn't new advice, but the stakes just increased. Structured data was a GEO vs SEO best practice. Now it's a Google AI Overviews survival requirement.

3. Track AI Overviews and conversational AI separately. They are different citation contexts with different dynamics. A brand can appear in an AI Overview but be absent from the AI Mode follow-up — or vice versa. If you're only checking one, you're seeing half the picture. Profound tracks AI Overviews. Peec tracks AI Overviews. So does Cited. The difference is what you do with that data — see our full comparison of GEO tools.

What about Apple Siri? The delayed wildcard

One more thing worth watching. Apple was supposed to ship Gemini-powered Siri in iOS 26.4 this month. That's now delayed — likely to iOS 26.5 in May, possibly iOS 27 in September. Apple says it's "still on track for 2026" but the timeline remains fluid.

When it does ship, Siri will run on the same Gemini model family that now powers Google AI Overviews. That means your Gemini visibility will extend beyond Google Search to over a billion iPhone users asking Siri for product recommendations.

This isn't here yet. But brands that build strong Gemini visibility now are effectively pre-optimising for Siri too. We'll cover this in detail when Apple actually ships.

How to check your brand's AI Overview presence today

Here's the manual version — takes about 15 minutes:

1. Search your category queries on Google mobile. Try 5-10 non-branded queries your customers would actually ask — "best [product] in India," "[product] for [use case] under ₹X." Note which queries trigger AI Overviews.

2. Check if your brand appears in the AI Overview. Not just mentioned — check if you're cited with a link, described accurately, and positioned favourably relative to competitors.

3. Tap the follow-up. Enter AI Mode from the AI Overview and ask a comparison or specificity question. Does your brand survive the conversation, or does it disappear when the user goes deeper?

4. Repeat across categories. Your brand might appear for some query types and not others. The pattern tells you where your content is strong and where it has gaps.

That gives you a rough picture. The systematic version is what Cited does — we run 20 prompts across ChatGPT, Gemini, and Perplexity, track how your brand appears, and show you exactly where the gaps are. If you want to know where your brand stands in this new two-step discovery funnel, request a free GEO Report Card. Results within 24 hours.