63% of Indian Consumers Have Purchased Based on AI Recommendations: The New Commerce Funnel
Northstar Digital research shows 63% of urban Indians have made purchases based on AI recommendations. How AI is collapsing the traditional marketing funnel and what it means for brand strategy.
Northstar Research Desk · Research Desk · Northstar Digital
Original research by Northstar Digital | April 2026 | Based on a survey of 1,000+ Indian consumers
The marketing funnel—awareness, consideration, purchase—has been the operating model for digital commerce since the industry’s inception. AI is collapsing it. According to Northstar Digital’s Consumer Research Report (April 2026), 63.1% of urban Indian consumers have made at least one purchase based on an AI recommendation. A third (34.8%) have done so multiple times.
This is not incremental change. When a consumer asks ChatGPT “best wireless earbuds under 3,000 rupees” and buys a recommended product within the same session, the traditional funnel—paid ads, SEO rankings, product listing pages—gets bypassed entirely. Bain & Company’s 2024 research on generative AI in retail projected that AI could influence over $400 billion in global consumer spending. India’s data suggests this influence is materializing faster than most brands anticipated.
From research Tool to Purchase Trigger
Our research reveals a clear escalation pattern. AI has moved beyond information retrieval into active commerce mediation.
| Purchase Behaviour | % of Users |
|---|---|
| Purchased multiple times based on AI | 34.8% |
| Purchased once or twice based on AI | 28.3% |
| Considered but haven’t purchased yet | 25.1% |
| Never purchased based on AI | 11.8% |
Northstar Digital AI Adoption in India Consumer Research, April 2026 (n=1,000+)
The 25.1% who have “considered it” represent the next conversion wave. Only 11.8% remain entirely outside AI-influenced commerce. For brands, this means nearly 9 in 10 urban Indian consumers are either buying through AI recommendations or actively open to it.
Which categories are being AI-researched?
The product categories where consumers use AI for research and recommendations reveal where the commercial opportunity is largest.
| Smartphones / gadgets | 61.6% |
|---|---|
| Online shopping (deals, comparisons) | 46.2% |
| Consumer electronics | 43.1% |
| Education / upskilling | 42.0% |
| Travel / hospitality | 38.4% |
| Financial products | 35.1% |
| Fashion / lifestyle | 33.0% |
| Health / wellness | 27.4% |
Northstar Digital AI Adoption in India Consumer Research, April 2026 (n=1,000+)
Consumer electronics and smartphones dominate, which aligns with India’s position as the world’s second-largest smartphone market. But the spread across travel (38.4%), finance (35.1%), and fashion (33.0%) indicates that AI-mediated commerce is category-agnostic. Accenture’s Technology Vision 2024 described this as the “human by default” era giving way to AI-augmented decision-making across every consumer vertical.
The trust-to-transaction spectrum
Not all AI commerce interactions are equal. Our data reveals a nuanced trust spectrum that distinguishes advisory from transactional trust.
| AI Task | Trust (Yes) | Maybe | Don’t Trust |
|---|---|---|---|
| Find the best deal | 61.6% | 22.7% | 15.7% |
| Recommend a gadget | 56.3% | 31.1% | 12.6% |
| Suggest a course | 56.2% | 21.9% | 21.9% |
| Compare financial products | 50.8% | 32.2% | 16.9% |
| Book travel on my behalf | 34.7% | 25.4% | 39.9% |
| Make a purchase autonomously | 25.4% | 21.4% | 53.2% |
The pattern is clear: consumers trust AI to advise but not to act. 61.6% trust AI to find deals, but only 25.4% trust it to make a purchase autonomously. This 36-point gap defines the current frontier. Brands that position themselves as the trusted option within AI recommendations—without requiring the AI to complete the transaction—will capture the most commercial value in this phase.
83% are open to AI-recommended brands
Perhaps the most consequential finding for brand strategists: 83.2% of respondents said they are “very likely” or “somewhat likely” to explore a brand recommended by AI that they hadn’t previously considered. This makes AI a brand discovery channel of the first order. Nielsen’s 2024 Annual Marketing Report found that brand awareness remains the top global marketing objective—yet the primary awareness channel is shifting from search ads and social media to AI-generated answers.
For challenger brands and new entrants, this is an equalizer. A startup with superior product data, structured content and citation-worthy reviews can appear alongside established names in AI recommendations without the ad spend traditionally required to break through.
What this means for brand strategy
- Optimize product content for AI parsing. Spec sheets, comparison tables and structured FAQs are the raw material AI engines use to form recommendations. Unstructured marketing copy gets ignored.
- Build citation-worthy content. AI platforms preferentially cite sources perceived as authoritative. Third-party reviews, verified benchmarks and expert-attributed content earn disproportionate mentions.
- Monitor AI recommendations actively. Brands need to track what AI engines recommend for their category queries across ChatGPT, Gemini, Perplexity and AI Overviews—and identify where competitors are winning.
- Treat AI as a commerce channel, not a novelty. With 63% already purchasing based on AI and another 25% considering it, AI-mediated commerce deserves dedicated budget, metrics and accountability within your marketing mix.
The brands that act on this data now will define the competitive landscape. Those that wait will discover that the funnel has moved—and they’re not in it.
Methodology
This article draws on data from Northstar Digital’s AI Adoption in India Consumer Research Report (April 2026), an online survey of 1,000+ respondents across Indian metros. The study focused on urban, digitally active consumers aged 18–44. Findings may not represent the broader Indian population. Full methodology is available in the original report.
About Northstar Digital
Northstar Digital is an AI-native digital agency helping brands build visibility, authority and growth in the age of AI-powered discovery. From AI Engine Optimization (AEO) and brand visibility audits to content strategy and performance marketing, we help businesses stay ahead of the AI curve. Learn more at thenorthstardigital.ai