OpenAI opens ChatGPT Ads Manager in India as ad business reaches $1B run rate
OpenAI has opened ChatGPT Ads Manager to Indian advertisers, enabling direct campaign purchases. The company says its advertising business has reached a $1 billion annualized revenue run rate, after hitting $100 million annualized revenue within six weeks.
What happened
OpenAI opened ChatGPT Ads Manager to advertisers in India, enabling direct campaign purchases. Its advertising business has reached a $1 billion annualized
Key facts
- $1 billion annualized revenue run rate
- $100 million annualized revenue within six weeks
- 2027 or sooner
Why this matters
The India launch makes commerce-data, retail-media, payments, and attribution partnerships more strategically valuable as OpenAI builds the local advertising infrastructure needed to scale.
What to watch
- Availability of India-specific targeting by geography, language, audience segment and commerce intent.
- Introduction of conversion APIs, product catalogs, merchant feeds, app-install measurement and offline sales attribution.
- Evidence of cost per qualified visit, assisted conversion rate and new-customer acquisition cost versus Google Search, Meta and retail media.
- Publisher, retailer, marketplace or payment-platform partnerships that provide transaction data or direct checkout paths.
- Brand-safety controls for ad adjacency, sensitive queries, competitor conquesting and AI-generated recommendation disclosures.
- Regulatory developments in India covering consent, profiling, cross-border data handling, advertising disclosures and consumer protection.
- Whether ad load rises without reducing answer quality, user trust or organic recommendation credibility.
- Launch tightly scoped tests around high-consideration categories such as electronics, beauty, travel, financial products and premium grocery.
- Prepare structured product feeds with current pricing, availability, delivery promises, ratings and regional-language creative assets.
- Separate conversational-search budgets from existing paid-search budgets to measure incrementality rather than reallocating on last-click results alone.
- Require reporting on query context, placement adjacency, invalid-traffic controls, conversion windows and use of advertiser data before scaling spend.
- Develop answer-engine optimization capabilities: accurate product facts, comparison content, merchant policies, FAQs and locally relevant inventory information.
- Monitor whether marketplaces and retailers offer closed-loop measurement or sponsored product integrations tied to ChatGPT referrals.