ChatGPT Ads in India: Monetization of AI Chat

ChatGPT Ads officially launched in India on August 27, with more than 50 brands participating in the initial rollout. At the same time, Google has had AI Max capturing intent in the AI world since a year.

I decided to study more about and understand, what is actually different about the commercial opportunity when ads launch in AI chat?

One thing that stands out is that a conversation can reveal the criteria behind a purchase decision, not just the product someone is looking for.

Someone might start with: "I need a laptop"

A few minutes later, you might know that they travel frequently, care more about battery life than performance, occasionally edit videos, don't want something heavy and have a budget of ₹1 lakh.

The useful information isn't simply that they're shopping for a laptop but an understanding of what would make one laptop a better choice for this person than another.

That could matter a lot for advertising. If a platform can identify those underlying preferences, it potentially has a better way of matching a product to a person than simply knowing the category they're interested in.

But that's still a hypothesis. And it remains to be seen how additional understanding translates into better outcomes for advertisers in termns of higher conversion, better customer acquisition or ultimately a willingness to pay more.

Commerce in Conversations

Fidji Simo, ChatGPT's former CEO of AGI Deployment who pioneered mobile advertising previously at Facebook, has talked about wanting to make the commerce experience genuinely useful before bringing advertising into it.

The sequencing is important. The opportunity isn't simply to put ads next to people asking shopping questions. The bigger opportunity would be to make a conversational AI assistant genuinely useful for figuring out what to buy, and then build a business around the commercial activity that develops there.

If someone comes to an AI chat already knowing they want a particular product, an AI assistant is largely capturing existing commercial intent.

But if the conversation helps someone understand their options, discover a category they hadn't considered or work through a decision they were struggling with, the platform is playing a much more active role in the purchase journey.

That distinction will matter enormously to the economics.

There is another interesting question for brands

If people increasingly use AI when deciding what to buy, being organically understood by the AI could become as important as buying advertising.

Without keywords, a company has to make it possible for an AI to understand what its product does, who it is for, what problems it solves, how it differs from alternatives and whether the information about it is reliable.

OpenAI's use of advertiser “context hints” is interesting here. Advertisers can describe the customer situations and needs in which their products are relevant, rather than simply supplying a list of words.

That suggests a broader change in how brands may eventually think about discoverability. Not just “What might someone search for?” but “What problems are we a good answer to?”

Of course, paid and organic discovery remain separate. OpenAI says ads don't influence ChatGPT's answer which is important if users are going to trust the product for decisions.

It also creates an interesting dynamic. The better an AI becomes at helping people choose, the more valuable that environment could become to advertisers. But the platform can't simply sell the recommendation to the highest bidder without putting that trust at risk.

What will tell us whether this works?

For me, there are three things to watch.

First, performance. Does the additional context actually produce better advertiser outcomes?

Second, incrementality. Is an AI assistant creating new commercial activity, or mainly capturing decisions that would have happened somewhere else?

Third, organic discovery. As consumers increasingly ask AI systems what they should consider, what determines which brands are surfaced without an ad?

Those answers will tell us much more about the future of Ads in AI conversations. As this field evolves, it would be interesting to keep an eye on how advertising economics in this space unfold.