Indian brands are beginning to treat ChatGPT as a new advertising channel, but early results suggest that interest has not yet translated into consistently profitable campaigns. Some advertisers are spending around ₹5–10 lakh per month per brand to test the platform, while marketers report uneven conversions and comparatively high customer acquisition costs.
The central issue is whether advertising inside AI conversations can deliver enough purchase intent to justify a premium over established platforms such as Google and Meta. The early experiments are giving brands an opportunity to understand the channel, but advertisers are still looking for reliable evidence of return on investment before committing larger budgets.
Indian Brands Allocate ₹5–10 Lakh Monthly for ChatGPT Ads
According to Storyboard18, Indian brands testing ChatGPT advertisements are spending approximately ₹5–10 lakh per month per brand.
The estimate was shared by Mihir Mehta, co-founder and managing partner of 0101.today. However, advertisers are approaching the platform cautiously as early campaign results remain inconsistent.
Rajiv Dingra, founder and CEO of ReBid, told Storyboard18 that brands are reporting uneven conversions and relatively high customer acquisition costs.
This creates a challenge for marketing teams accustomed to measuring campaigns through established performance indicators such as cost per click, conversion rates and return on advertising spend.
For now, many companies are treating ChatGPT advertising as an experimental addition to their digital marketing budgets rather than a replacement for established advertising channels.
The spending is also an indication of the premium associated with access to advertising placements within AI-powered conversations.
ChatGPT Ads Arrived in India in August 2026
OpenAI officially launched ChatGPT advertisements in India on August 27, 2026, initially making them available to logged-in adult users on the Free and Go subscription plans.
The company partnered with advertising agencies WPP and Omnicom to support the initial rollout. More than 50 brands were expected to participate during the launch phase.
OpenAI subsequently introduced self-service access through its Ads Manager on September 4, allowing businesses to create and manage campaigns directly.
The company set an initial daily campaign budget starting at ₹725, lowering the entry barrier for businesses interested in experimenting with the format.
However, a low minimum campaign budget does not necessarily mean that customer acquisition will be inexpensive. Actual advertising costs depend on bidding, competition, campaign objectives and available inventory.
OpenAI’s advertising model places sponsored content alongside relevant conversations rather than relying exclusively on conventional search keywords or social media feeds.
For example, an advertisement for travel services could appear when someone is researching a holiday, while a home-furnishing brand could reach users discussing furniture or setting up a new home.
This gives advertisers an opportunity to reach consumers while they are actively exploring options.
Conversion Rates Remain Below Established Advertising Platforms
One of the biggest concerns for Indian advertisers is whether ChatGPT advertisements can convert users into paying customers at a sustainable cost.
A Moneycontrol report published on November 4 cited marketers who said some ChatGPT advertising campaigns were recording conversion rates below 1.5%.
The same report noted that certain categories were seeing cost-per-click figures ranging between $200 and $400, according to one marketer. These were reported category-specific figures, not a universal price for every ChatGPT campaign.
For comparison, the marketer said Google and Meta campaigns could generate clicks at approximately ₹3–5 in some cases, with conversion rates reaching around 3%.
Organic searches on AI platforms were also reported to deliver conversion rates as high as 8% in certain cases.
These figures are based on advertiser and industry observations rather than a standardised comparison across identical campaigns. Different industries, targeting methods and conversion definitions can produce substantially different results.
Nevertheless, they illustrate why brands are hesitant to move significant budgets away from platforms where advertising performance is more established.
| Advertising channel | Reported performance observations |
|---|---|
| ChatGPT Ads | Some campaigns report conversion rates below 1.5% |
| Google and Meta | Certain campaigns report conversion rates around 3% |
| Organic AI searches | Some reported conversion rates reach 8% |
| ChatGPT campaign spending | Around ₹5–10 lakh monthly per brand in reported tests |
The figures suggest that ChatGPT has an opportunity to demonstrate stronger conversion performance before advertisers are willing to increase their spending.
Why ChatGPT Advertising Can Be More Expensive
ChatGPT advertising operates differently from traditional search and social media advertising.
On Google, advertisers can target people based on search queries and keywords. On social media platforms, campaigns can reach audiences based on interests, demographics and browsing behaviour.
ChatGPT offers a different advertising environment because users often describe their requirements through detailed conversations.
Someone researching a software product, for example, might explain their company size, budget, preferred features and business requirements in a single conversation.
This contextual information can make the advertising opportunity attractive because the user may already be evaluating a purchase.
However, the inventory is still relatively new, and advertisers are paying to learn how the platform’s targeting and placement systems work.
A September report by Moneycontrol cited early campaign pricing estimates of approximately $60 per thousand impressions for some enterprise pilots. Advertisers also reported cost-per-click figures of around ₹110–150, while recommended starting bids for certain campaigns were considerably higher.
These prices vary by campaign type and should not be treated as standard rates across the platform.
The challenge is determining whether the additional context produces customers valuable enough to justify the higher advertising costs.
Brands Across Multiple Categories Are Testing the Platform
Indian companies from different industries have started experimenting with ChatGPT advertisements.
Brands mentioned in industry reporting include Tanishq, Tata Neu, ixigo, Wakefit, Traya, Libas and The Man Company.
Their campaigns illustrate how advertisers are exploring different ways to reach consumers through conversational AI.
For example:
- Tanishq: Represents the jewellery category, where consumers often research products, designs and purchase considerations.
- Tata Neu: Provides an opportunity to promote services and offers across a broader consumer ecosystem.
- ixigo: Has used the platform to promote flight offers and attract users researching travel options.
- Wakefit: Has targeted consumers exploring furniture and products for setting up their first homes.
- Traya: Represents the health and wellness category, where consumers may research products and solutions before making purchasing decisions.
- Libas: Has used ChatGPT advertising to promote a festive-season sale.
- The Man Company: Has promoted its fragrance products through the platform.
The variety of participating brands shows that interest is not restricted to one industry.
However, participation in an advertising pilot does not necessarily indicate that a company has committed to sustained spending. The more important measure will be whether brands renew campaigns and increase budgets after evaluating the results.
High-Value Categories May Benefit More Than E-Commerce
Not every business is likely to find ChatGPT advertising equally useful.
According to industry executives cited by Moneycontrol, the economics may be more favourable for categories where customers spend considerable time researching products and services.
Automobiles, real estate, travel, education and business software are examples of sectors where purchase decisions can involve multiple questions and comparisons.
A potential homebuyer, for instance, may use ChatGPT to research locations, property types, financing options and other considerations before contacting a seller.
This gives advertisers an opportunity to reach consumers during an extended decision-making process.
The situation may be different for quick-commerce and low-value e-commerce businesses.
If a company earns only a few hundred rupees from an initial transaction but spends substantially more to acquire the customer, the economics can become difficult to justify.
Advertisers therefore need to evaluate the lifetime value of customers rather than relying exclusively on clicks or impressions.
Measurement and Return on Investment Remain Major Challenges
Another obstacle is the difficulty of comparing ChatGPT advertising performance with established digital channels.
Google and Meta have spent years developing advertising measurement systems, campaign optimisation tools and reporting capabilities.
Advertisers are familiar with their targeting options, conversion tracking and performance benchmarks.
ChatGPT advertising is still developing its measurement ecosystem. Brands are trying to understand how sponsored placements translate into website visits, enquiries, purchases and repeat customers.
There is also a distinction between paid visibility and organic recommendations generated by AI systems.
A brand may purchase a sponsored placement without necessarily appearing in ChatGPT’s organic response. These are separate mechanisms, and paid advertising does not guarantee that an AI assistant will recommend the advertiser’s product.
For marketing teams, this means that advertising budgets alone may not be enough to establish a strong presence in AI-powered discovery.
The Bigger Picture
The early Indian experience with ChatGPT advertising reflects a familiar pattern in the development of new digital marketing channels. Brands are interested in reaching consumers in a new environment, but they need evidence that the additional spending generates measurable business results.
For OpenAI, India represents an important advertising market because of its large ChatGPT user base and expanding digital economy. The launch of self-service Ads Manager also creates an opportunity to attract businesses beyond large enterprise advertisers.
However, competition with Google and Meta will involve more than attracting advertising budgets. OpenAI must demonstrate that conversational advertising can deliver customers at costs that make commercial sense. The platform’s contextual approach may offer advantages in research-heavy categories, but advertisers will need consistent conversion data before making it a regular part of their media plans.
Looking Ahead
Indian brands are likely to continue experimenting with ChatGPT advertising as they learn how consumers respond to sponsored placements within AI conversations. Monthly spending of ₹5–10 lakh per brand shows that some companies are willing to invest in testing the channel, but uneven conversions and customer acquisition costs remain significant concerns.
The next stage will depend on whether OpenAI can improve campaign measurement, targeting and optimisation while demonstrating stronger returns for advertisers. If the platform can convert conversational intent into measurable sales and qualified leads, it could become a more established part of India’s digital advertising market. Until then, many brands are expected to approach it as an experimental channel rather than a major replacement for Google and Meta.
SEO Metadata
SEO Title: Indian Brands Spend ₹5–10 Lakh Monthly Testing ChatGPT Ads
Meta Description: Indian brands are spending ₹5–10 lakh monthly testing ChatGPT ads, but uneven conversions, high acquisition costs and measurement challenges are limiting bigger budgets.
URL Slug: indian-brands-spend-5-10-lakh-testing-chatgpt-ads
Focus Keyphrase: Indian brands ChatGPT ads
Secondary Keywords: ChatGPT advertising India, OpenAI Ads Manager, ChatGPT ad spending, Indian digital advertising, ChatGPT conversion rates, AI advertising market, OpenAI advertising revenue
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