Search is evolving beyond clicks. As AI tools answer questions, compare products and recommend brands, Indian marketers need to rethink how visibility and discovery work.

For much of my career in search, the formula was straightforward: understand what people search for, create pages that answer those queries, rank them well and convert the resulting traffic.

That model still has value. But it no longer represents the entire consumer journey.

Today, a customer in Pune can ask an AI assistant which health insurance policy is best for a young family, which smartphone is worth buying under ₹30,000, or which accounting software would work for a small business in Coimbatore.

The AI system interprets the question, considers information from multiple sources and delivers a shortlist or recommendation. Your brand can either be part of that answer or completely absent.

And increasingly, that decision is being made before the consumer ever reaches your website.

India Is Adopting AI Faster Than Many Expect

India is often described as a market that follows global technology trends. AI search challenges that assumption.

Data reported by TechCrunch from Sensor Tower showed that India became the world's largest market for generative AI app downloads in 2025. Indian users also represent a significant share of the global audience for leading AI assistants.

The major platforms are responding to this demand. Google has expanded AI-powered search experiences in India, including AI Mode in multiple Indian languages, while India remains one of its largest markets for voice and visual search.

Indian consumers are already experimenting heavily with AI tools. The bigger issue is that many Indian marketers have not yet adapted their search strategies to this behaviour.

Most major AI visibility studies are still heavily focused on the US. For example, Semrush's AI Visibility Index analysed millions of AI search prompts primarily from the US market, even though its platform is expanding into other countries.

Start With the AI Platforms Your Customers Actually Use

One of the biggest strategic differences between India and the US is platform preference.

In India, Gemini has a particularly strong position in AI chatbot usage, while ChatGPT has a smaller share compared with its position in the US. Google's Android ecosystem, search integration and free access give Gemini an enormous potential audience.

This should influence how brands measure AI visibility.

If marketers check their presence only on ChatGPT because most AI-search tools default to it, they may be monitoring the wrong environment.

For Indian brands, Gemini and Google's AI-powered search experiences deserve equal, if not greater, attention.

AI Search Is Turning Keywords Into Conversations

Traditional search encouraged users to enter short keywords. AI search allows them to explain what they actually want.

Research from Pew Research Center found that longer and more conversational queries are more likely to trigger AI-generated summaries. Google has also reported that users of AI Mode in India are asking substantially longer questions than they typically type into traditional search.

For Indian marketers, this creates another layer of complexity.

AI-powered search is increasingly available across Indian languages, while India is also one of Google's biggest markets for voice and visual search.

Imagine a consumer in Nashik asking a detailed question in Marathi about which insurance policy to choose. The answer may come from an AI system rather than a traditional search-results page.

The challenge is that much of the content created by marketers is still designed around English keywords rather than real-world questions and conversations.

Being Mentioned and Being Cited Are Different Wins

One of the most important distinctions in AI visibility is the difference between a brand being cited as a source and a brand being mentioned in the actual answer.

Research by Semrush and Kevin Indig found that AI systems frequently use a brand's website as a source without explicitly naming the brand in their responses.

The behaviour also differs between AI platforms. ChatGPT is more likely to provide links to sources, while Gemini is more likely to mention brands without necessarily providing a direct link.

This distinction is particularly important in India.

Indian brands have performed relatively well when it comes to being mentioned in AI-generated answers. That means a brand may be appearing in thousands of recommendations without generating an equivalent volume of referral traffic.

For marketers, this changes the measurement framework.

AI visibility should not be judged only by clicks. Brand mentions, recommendations and inclusion in AI-generated shortlists can be valuable outcomes in themselves.

Comparison Content Can Drive Consideration

The type of content a brand produces also influences its AI visibility.

Comparison-focused content tends to be especially valuable because it addresses the point where consumers move from understanding a category to deciding between options.

The question is no longer simply, “What is this product?”

It becomes, “Which product should I choose?”

That makes comparison pages, buying guides and category-specific recommendations important assets in the AI-search ecosystem.

For Indian brands, those comparisons should reflect local realities — including Indian pricing, taxes, EMI options, service availability and regional considerations.

AI Referral Traffic May Be Smaller Than Its Influence

AI-generated traffic is still relatively small compared with traditional search and other digital channels. But that does not mean its impact is insignificant.

Data from Adobe's analysis of US retail websites showed substantial growth in traffic coming from AI tools during the 2025 holiday period.

The more interesting finding is the quality of that traffic. AI-referred visitors have increasingly shown stronger engagement and conversion behaviour compared with earlier periods.

India does not yet have an equivalent large-scale dataset, so global numbers should be treated as indicators rather than direct forecasts.

The practical lesson, however, is clear: don't dismiss AI search simply because referral traffic looks small today.

Especially on platforms where recommendations can appear without direct links, referral analytics may significantly underestimate the actual influence of AI discovery.

Indian Credibility Matters

AI systems do not build their understanding of a company exclusively from its website.

They also learn from news coverage, reviews, trade publications, expert opinions, forums, comparison platforms and other third-party sources.

For Indian queries, this makes local digital credibility particularly important.

A company may have strong international visibility but still struggle to appear prominently when consumers ask India-specific questions.

Indian business publications, review platforms, industry associations and relevant communities can all contribute to how an AI system understands a brand.

A company can describe itself as a category leader on its own website. But the claim becomes much stronger when independent Indian publications, experts and customers support that position.

This is where SEO and reputation management increasingly overlap — and where PR becomes part of the AI-discovery strategy.

SEO Isn't Dead. It Is Becoming One Layer of a Larger Strategy

AI search should not be viewed as the replacement for SEO.

SEO remains the foundation.

Websites still need to be crawlable, technically sound, fast, well structured and filled with useful information.

AEO, or Answer Engine Optimisation, adds another layer by focusing on the questions consumers actually ask.

Generative Engine Optimisation, or GEO, takes the strategy further by considering how generative AI systems discover, evaluate and represent information.

Technical accessibility is also critical.

Even excellent content can struggle if AI systems cannot properly access or interpret the pages where that content lives. Brands therefore need to ensure their websites are technically readable for both traditional search engines and AI-powered discovery systems.

Five Steps Indian Brands Should Take Now

1. Build a prompt library instead of relying only on keywords

Create a list of 20–50 genuine questions consumers ask about your category. Include comparison, recommendation and problem-solving queries.

Where relevant, consider the languages and conversational styles your customers actually use.

2. Test Gemini and Google AI experiences

Don't restrict AI visibility testing to ChatGPT.

Given India's strong relationship with Google's ecosystem, Gemini and Google's AI search experiences should be part of every Indian brand's monitoring strategy.

3. Measure mentions, not just clicks

A brand recommendation without a website visit can still influence a purchase decision.

Track how frequently your brand appears in AI answers, which competitors appear alongside it and which prompts generate those recommendations.

4. Build credible Indian third-party coverage

Strengthen your presence across Indian business media, trade publications, review platforms, industry associations and relevant communities.

The objective is not simply to generate backlinks. It is to build an information ecosystem that consistently establishes why your brand deserves consideration.

5. Create comparison content designed for Indian consumers

Develop useful comparisons based on Indian consumer realities.

Include local pricing, GST, financing options, availability, customer support, service networks and other factors that can influence purchase decisions.

The New Search Economy

Search has always been about helping people find information. AI is changing what happens after discovery.

Traditional search helped consumers locate options. AI systems increasingly interpret those options, compare them and narrow the shortlist before the user clicks anywhere.

Research has already shown that when AI summaries appear, users are less likely to click through to traditional websites.

That means the battle is no longer limited to ranking on a search-results page.

It is about becoming part of the information an AI system trusts, the sources it considers and the brands it ultimately recommends.

India is emerging as one of the world's most active AI markets, but many marketing strategies are still built around older search behaviours.

The brands that succeed in this new environment will be those that have something meaningful to say, credible evidence to support it and a strong Indian digital footprint across platforms they do not directly control.

SEO will continue to matter.

But the bigger question for Indian marketers is becoming increasingly important: When an AI system tries to understand your category, will your brand be part of the answer?