ChatGPT Ads began rolling out in Singapore on 23 September 2026, opening another advertising channel for businesses seeking to reach people researching products and services in ChatGPT.
The launch raises practical questions: who can see the ads, where do they appear, and how does advertising relevance work? It also raises a bigger question for marketers: what happens when customer intent is expressed through a conversation rather than a short search query?
For years, paid search has trained marketers to think in keywords.
Someone searches for “accounting software Singapore”. An advertiser identifies the intent, targets relevant keywords, serves an ad and directs the user to a landing page.
Now consider a different interaction:
“I run a growing retail business with both online and physical sales. We are still reconciling transactions manually. What accounting software should we consider?”
Both interactions signal commercial interest. But the conversation also reveals the customer’s circumstances, operational challenges and reasons for considering a solution.
That additional context is what makes ChatGPT Ads worth examining.
What Are ChatGPT Ads?
ChatGPT Ads are sponsored placements that can appear around relevant conversations in ChatGPT. They are clearly labelled as ads and are kept separate from ChatGPT’s answers, meaning advertisers do not pay to influence what ChatGPT says. Unlike traditional search advertising, where a keyword can be a key signal of intent, ChatGPT Ads can also consider the context of the conversation when determining ad relevance.
Are ChatGPT Ads Available in Singapore?
Yes. OpenAI announced the expansion to Singapore on 23 September 2026, alongside Indonesia, Malaysia, the Philippines, Thailand, Vietnam and Taiwan. Availability of advertising tools and account eligibility should be confirmed through OpenAI’s current advertiser channels.
ChatGPT Ads became available in Singapore in September 2026, introducing sponsored placements that remain separate from ChatGPT’s answers.
Who Can See ChatGPT Ads?
Ads are shown to eligible adults using ChatGPT Free and Go plans. Plus, Pro, Business, Enterprise and Edu users do not see ads. ChatGPT’s overall audience therefore should not be treated as the number of people advertisers can reach.
Where Do ChatGPT Ads Appear?
Ads are clearly labelled sponsored placements, separate from ChatGPT’s answers. OpenAI says advertisers cannot pay to change those answers. A sponsored placement is not an organic recommendation.
How Does ChatGPT Ad Relevance Work?
Unlike traditional keyword-led advertising, ChatGPT Ads can consider the context and intent of a conversation alongside advertiser information, ad creative and landing pages.
According to OpenAI’s ChatGPT Ads documentation, advertisers can provide context hints describing relevant customer needs, topics or situations. These help inform ad relevance but do not function as exact-match targeting rules or guarantee an impression.
For marketers, the distinction is important: a conversation can reveal not only what someone is looking for, but also the circumstances behind their interest.
ChatGPT Ads vs Google Search Ads: What Changes?
Google Search Ads and ChatGPT Ads can both reach customers with commercial intent. Google Search Ads use search queries alongside other campaign and audience signals; they are not limited to exact keyword matching. ChatGPT Ads can also consider information supplied during a conversation, including the user’s problem and circumstances.
For example, “accounting software Singapore” identifies a category. A conversation about reconciling online and physical store sales explains a specific business problem. The difference is not that Google understands keywords while ChatGPT understands intent. It is that a conversation may reveal more of the decision behind the demand.
A Conversation Can Reveal More Than a Search Query
Search intent has never been limited to keywords.
Someone searching for “CRM software” could be learning about the category, comparing providers or preparing to buy. Paid search marketers already account for these differences through campaign structure, audiences, creative and landing pages.
Conversational advertising adds more context.
A user can explain what they are trying to achieve, who the solution is for, what problems they face and what constraints matter, all within the same conversation.
OpenAI’s guidance on context hints reflects this. Advertisers are encouraged to think about what they offer, who it helps and when it may be useful. The guidance focuses on customer needs and circumstances rather than lists of disconnected keywords.
For marketers, that adds another layer to intent planning.
Keyword planning: What might the customer search?
Decision planning: What is the customer trying to solve, and when does our business become relevant?
The second question does not replace the first. It helps marketers understand the demand behind it.
The Same Keyword Can Represent Different Decisions
Take “accounting software Singapore”.
One retailer might need a better way to reconcile ecommerce and physical store transactions.
Another business might be expanding overseas and reviewing whether its existing accounting setup still meets its needs.
Both could use the same search term, but the reason behind the search is different.
OpenAI recommends grouping ads around a shared product, service, theme or customer need. It also recommends separating meaningfully different use cases when they require different messaging or landing pages.
This is where decision matching becomes useful.
Rather than building a campaign around every possible way someone could phrase a question, marketers can identify recurring situations in which their offering is relevant.
For example:
Customer: Growing retailer
Problem: Manual reconciliation across sales channels
Decision: Whether new accounting software can simplify the process
Relevant message: How the software handles online and in-store transactions
The advertising strategy starts with the problem being solved, not just the words used to describe it.
Conversational Targeting Is Not a Longer Keyword List
A tempting response would be to make keywords longer.
“Accounting software Singapore” becomes:
“Accounting software for Singapore retailers with online and offline sales that need reconciliation.”
That still treats conversational advertising like conventional keyword matching.
OpenAI states that context hints are not exact-match keywords or targeting rules and do not guarantee delivery for particular conversations or audiences.
Marketers therefore do not need to predict every prompt a potential customer might enter into ChatGPT.
A better starting point is to identify recurring customer circumstances:
Who is the customer?
What are they trying to accomplish?
What problem is shaping the decision?
When does the product or service become relevant?
Would different circumstances require different messaging or information before someone takes action?
This turns conversational targeting into a customer research exercise rather than a prompt-writing exercise.
Decision Matching Should Influence the Message Too
If the situation changes, the most relevant message may change with it.
Compare:
“Powerful accounting software for growing businesses.”
with:
“Reconcile online and in-store sales in one accounting workflow.”
The first broadly describes the product.
The second connects it to a recognisable business problem.
OpenAI’s creative guidance for ChatGPT Ads encourages advertisers to use clear, specific and benefit-focused copy that explains the practical value of an offering, who it is for and when it may be helpful.
This does not mean creating an ad and landing page for every possible conversation.
The question is whether two customer situations are different enough to require different information.
If someone encounters an ad while trying to solve a specific problem, the page after the click should continue addressing that problem.
A generic landing page may describe the right product while failing to address why the customer was interested in the first place.
Relevance should continue from the conversation to the ad, and from the ad to the landing page.
Keywords Still Have a Role
Conversational advertising does not make keywords obsolete. Search queries remain valuable signals of commercial demand, while ChatGPT Ads can use contextual information to assess relevance.
OpenAI also allows advertisers to include topics and keywords in context hints, although these are not exact-match targeting rules.
For marketers, the opportunity is to use keyword research to understand demand and customer research to identify the situations, problems and decisions behind it.
How Much Do ChatGPT Ads Cost in Singapore?
OpenAI supports campaign bidding and billing arrangements that can include CPC and CPM, depending on the objective. Costs are not fixed Singapore-wide rates. Actual spend and performance depend on campaign settings, available inventory and competition. Businesses should confirm current bids, account requirements and reporting options directly with OpenAI rather than relying on a generic published price.
The more useful question is whether paid traffic produces qualified enquiries, sales or other meaningful outcomes. A low cost per click is not proof of a successful campaign.
Should Singapore Businesses Advertise on ChatGPT?
Not necessarily. A new placement is worth considering only when the eligible audience, customer needs, measurement capabilities and test budget fit the business. Existing paid search and social advertising may still be better priorities. The goal should be to assess incremental commercial value, not simply to be early on a new platform.
Paid ChatGPT Visibility Is Not Organic AI Visibility
There is another distinction businesses need to keep clear.
Paying for advertising in ChatGPT does not mean paying to influence ChatGPT’s answers.
Under OpenAI’s advertising principles, ads do not influence the answers ChatGPT gives. Ads are separate and clearly labelled.
This creates two different forms of visibility.
Organic AI visibility looks at whether a brand or its content is surfaced, mentioned or used within generated answers. This is where strategies such as Generative Engine Optimisation (GEO) come into play.
Paid AI visibility looks at whether an advertisement can appear around a relevant conversation.
A paid placement should not be reported as evidence that ChatGPT organically recommends the brand. OpenAI also states that seeing an ad does not mean OpenAI endorses or recommends the advertiser or its products.
Likewise, organic AI visibility does not remove the potential role of paid advertising.
For businesses investing in both performance marketing and GEO, these should remain separate parts of the measurement framework.
Don’t Measure ChatGPT Ads by Novelty
Being among the first advertisers to appear in a new channel can attract attention internally.
That does not make the campaign successful.
OpenAI’s current ChatGPT Ads reporting includes impressions, clicks, spend, click-through rate, average CPC, average CPM and conversions. Advertisers can also use conversion measurement and tracking parameters to analyse activity after the click.
The same performance discipline used elsewhere still applies.
Did the campaign reach relevant potential customers?
Did they engage?
What happened after the click?
Did those interactions contribute to enquiries, leads, sales or another meaningful business outcome?
For conversational advertising, there is one more question worth asking:
Did we appear in the right decision contexts?
A large number of impressions around loosely related conversations may be less valuable than opportunities where the advertiser closely matches the customer’s situation.
As the platform develops, advertisers will need to identify which contexts translate into meaningful commercial outcomes rather than assuming contextual relevance automatically equals performance.
From Keyword Matching to Decision Matching
ChatGPT Ads introduce another way for businesses to reach customers during moments of commercial intent.
The opportunity is not simply to advertise on a new platform, but to understand when a business becomes relevant to a customer’s needs and whether that relevance translates into meaningful results.
Don’t just map what customers search. Map the decisions your business belongs in.
As conversational advertising develops, businesses that connect customer intent with relevant messaging, useful landing pages and measurable outcomes will be better positioned to assess its value.
Ready to improve your digital advertising performance?
Discover how OOm can help you reach the right audiences and turn advertising spend into measurable business results.
