Earlier this week, OpenAI, the parent company of ChatGPT, announced plans to introduce advertising to parts of its service later this year, beginning with the free and Go tiers.
With more than 850 million monthly average users, this means OpenAI will be orchestrating one of the largest advertising platform rollouts the industry has ever seen. Testing has begun in the US across free and low-cost tiers such as ChatGPT Go, while Asia-Pacific remains one of the fastest-growing regions globally, reportedly expanding at nearly four times year-on-year. But focusing on the ad announcement or the size of the user base misses the bigger story: conversational AI changes how advertising itself works.
ChatGPT advertising doesn’t behave like search, social, or display. It operates inside a conversational interface where users increasingly delegate interpretation, synthesis, and decision-making to an AI system. That shift has direct implications for trust, relevance, and performance—particularly for marketers in APAC.
Ads inside AI interfaces are different
The most common concern following OpenAI’s announcement is whether advertising will compromise answer quality or user trust. OpenAI has been explicit about its intent to keep trust central. According to Fidji Simo, ads will be clearly labelled, kept separate from answers, and will not influence how ChatGPT responds. Conversations are not shared with advertisers, users retain control over personalisation, and paid tiers will remain ad-free.
The most important of these commitments is answer independence. In AI-mediated environments, even the perception that recommendations are influenced by advertisers can erode trust quickly. Unlike traditional media, where persuasion is expected, conversational AI is treated more like a private reasoning partner. The bar is higher. One possible approach platforms may take, as analysts like Eric Seufert have suggested, is separating ads entirely from conversational context. Rather than serving ads based on what a user is asking in the moment, personalisation could rely on broader, consented behavioural signals captured via conversion APIs or similar mechanisms. If executed well, ads can sit alongside conversations without users feeling that answers themselves are being “sold.” But the balance is delicate. In AI-driven interfaces, trust isn’t a feature—it’s the very operating system.
Two AI advertising philosophies are emerging
As AI becomes a consumer-facing interface, two distinct advertising approaches are taking shape. Google is doubling down on its utility model, injecting ads directly into the search-to-conversion loop via Gemini Overviews. OpenAI, however, is separating the 'reasoning' from the 'selling'. Their ads sit alongside the dialogue, influencing brand consideration only after the user has established trust through conversation. For CMOs, this distinction matters. Google continues to capture demand at moments of explicit intent, while AI-first interfaces like ChatGPT may increasingly influence how brands enter a user’s mental shortlist - not through clicks, but through relevance and credibility developed across longer, private conversations. In practical terms, part of the marketing challenge shifts from bidding on keywords to building brand authority that holds up inside AI-mediated, agentic decision-making.
Why this shift matters more in APAC
For marketers in Asia-Pacific, ChatGPT ads represent more than just another platform to test. APAC consumers are already deeply familiar with conversational platforms. Commerce via WhatsApp in India, LINE in Thailand, WeChat in China and chat-based services across Southeast Asia have trained users to transact, decide, and engage within messaging environments. ChatGPT doesn’t introduce a new behaviour; it scales an existing one.
Conversational AI also compresses the distance between question, recommendation and action. As that trust-led loop tightens, relevance becomes more important than reach, and clarity matters more than frequency. There is far less tolerance for generic or poorly targeted messaging.
From SEO to AEO: Visibility in an answer-led world
For twenty years, we optimised for keywords, backlinks and rankings. In the AI era, we must master Answer Engine Optimisation (AEO). AI doesn’t just match keywords; it synthesises micro-context - personal environment, intent and constraints into a single response.
The shift is from queries to scenarios. Searching for ‘hair fall shampoo for women’ is traditional SEO. Asking, "I live in Singapore, work out daily, and deal with high humidity and losing hair…what shampoo should I use?" is a conversational scenario. This distinction fundamentally changes how brands are surfaced.
To stay visible, digital presence must be ‘machine-understandable’. Listing features is no longer enough; brands require clear content taxonomy and structured data (such as llms.txt) to ensure AI systems interpret them accurately. This is baseline hygiene, not a growth hack. The goal is to ensure your brand is represented correctly when decisions are actively being shaped.
The new creative economics: From spend to speed
AI has collapsed the cost of creative production, levelling the playing field for APAC marketers. Historically, scale favoured the largest budgets; today, creative variations can be generated and tested at near-zero marginal cost. In this landscape, competitive advantage shifts from how much you spend to how fast you learn. Iteration speed is the new scale. This should be no issue for us in the region—we literally run on delivering everything ‘yesterday’!
The CMO’s 2026 AI advertising priority list
Rather than speculating on ad formats, leaders should focus on four grounded strategic shifts:
Audit AI visibility: Ask ChatGPT how it perceives your brand. An ‘AI hallucination’ is a PR crisis; an ‘AI omission’ is a sales crisis.
Invest in utility: Tools and decision-aids (like ROI calculators) are more likely to be cited organically by AI than generic blog posts.
Lead with transparency: As OpenAI prioritises privacy, brands with clean first-party data and transparent practices will integrate most effectively into the ‘trust-first’ ecosystem.
Treat paid as a catalyst: ChatGPT ads will likely mirror current retail media mechanics. They should amplify a brand that already has organic credibility, not substitute for it.
The bottom line
ChatGPT ads don’t just add a channel; they redefine how influence is earned. Performance is no longer about winning the auction—it’s about winning the recommendation. For APAC marketers, the goalpost has moved from "reach" to "relevance." The brands that adapt now will become the natural conclusion to a user’s private dialogue. The rest will simply be noise that the AI filters out. And…trust me. You do not want to be one of them.
Ramakrishnan Raja is the principal at marketing company Resonant.
