What Are ChatGPT Ads?

ChatGPT Ads are sponsored advertisements displayed within the ChatGPT experience.

OpenAI’s current Ads Manager Beta allows advertisers to create, manage and measure campaigns. Advertisers can choose campaign objectives including CPM, CPC and conversion-optimized CPC (oCPC), depending on their campaign setup and available features.

A ChatGPT ad can include:

• Advertiser name
• Logo/favicon
• Headline
• Description
• Image creative
• Landing page

Ads are displayed separately from ChatGPT’s organic response — placed below the answer, not inside it — and are clearly labeled. OpenAI also states that ads do not influence ChatGPT’s answers.

This separation is important. If someone asks “Which phone should I buy?”, the advertising system doesn’t rewrite ChatGPT’s answer simply because a phone company is advertising. The advertisement remains a separate sponsored placement.

ChatGPT Ads vs Google Ads

The easiest way to understand ChatGPT Ads is to compare them with traditional search advertising.

This doesn’t mean ChatGPT Ads replace Google Ads. Instead, they create another opportunity: advertising inside a decision-making conversation.

OpenAI says its system considers factors including the current conversation and intent, landing page, title, copy and advertiser-provided context hints.

The Most Important Concept: Conversational Intent

This is where ChatGPT Ads become particularly interesting. Consider a traditional advertising audience:

Women, 25–44, interested in skincare.

That’s an audience definition. Now consider this ChatGPT conversation:

“My skin gets very dry at night. What kind of night cream should I use?”

That’s an intent signal. The second example tells us much more about the immediate problem.

Another example:

“I want to start doing a daily Hindu prayer. Which Aarti should I listen to?”

This is exactly the type of scenario we identified for Mobile Mandir. Instead of advertising Mobile Mandir to everyone interested in spirituality, we can build an ad group around the need: people looking for Aarti, Aarti lyrics or devotional content for daily worship.

OpenAI’s context hints help advertisers describe these situations. However, they aren’t exact-match keywords or guarantees that an ad will appear for a particular phrase.

Mobile Mandir: A Real-World Example

Let’s take a practical example. Mobile Mandir provides devotional content and Seva services through its website and app.

Instead of running a generic ad — “Download Mobile Mandir” — we can create an intent-focused campaign.

The person is already interested in Aarti. We aren’t trying to convince someone who has never expressed devotional intent that they need a devotional app. We’re attempting to provide a relevant next step to an existing need.

That’s the fundamental idea behind conversational advertising.

The Mobile Mandir Seva Example

The same strategy can be applied to Seva. Imagine someone asks:

“How can I feed cows in India?”

A traditional social media campaign might target people interested in Hinduism, Gau Seva or spirituality. With a conversational advertising strategy, the desired context is much more specific: someone is actively looking for a way to perform Gau Seva.

A relevant ad could be:

Want to Do Gau Seva? 🐄 Perform Chara Seva through Mobile Mandir. Do Chara Seva →

And we can build separate ad groups for different Seva services. For example:

This is much better than putting every service into one generic ad group. OpenAI recommends keeping ad groups focused around a common product category, theme or customer need.

How Does ChatGPT Know When Your Ad Is Relevant?

This is one of the most important questions advertisers have. ChatGPT Ads don’t simply work like: Keyword = Advertisement.

Instead, OpenAI describes a system that considers multiple relevance signals. These can include:

• Current conversation context
• User intent
• Ad title
• Ad copy
• Landing page
• Advertiser-provided context hints
• Certain broader signals when ad personalization is enabled

This means your landing page matters. If you’re advertising a specific Aarti, sending someone to a generic homepage may be less useful than sending them directly to the relevant Aarti experience. Likewise:

• Gau Chara intent → Gau Chara page
• Dog Seva intent → Dog Seva page
• Night cream intent → Night cream product/category page

The closer the complete experience is to the user’s need, the stronger the advertising proposition becomes.

How Context Hints Work

Context hints are one of the most important parts of ChatGPT Ads. Suppose you’re selling skincare. A weak context hint might be:

“Skincare”

A stronger one might describe the actual customer need:

“People looking for a night cream for dry skin and wanting help choosing an overnight moisturizer.”

Another:

“People comparing night creams for sensitive or dry skin before making a purchase.”

In Ads Manager, the ad group screen holds the maximum CPC bid, the destination URL and the context hints box — where you describe the conversations your product fits.

The idea isn’t to create hundreds of exact keywords. Instead, you’re describing the situations in which your product is useful. OpenAI specifically recommends natural, descriptive context hints that explain customer needs and use cases.

Example: How a Skincare Brand Could Use ChatGPT Ads

Let’s say you sell a premium night cream. A potential user asks: “What is the best night cream for dry skin?” Your campaign might have:

Context hints for that ad group:

• People looking for a night cream for dry skin.
• People comparing overnight moisturizers for dry skin.
• People looking for skincare products for nighttime use.
• People trying to choose a moisturizer for dry or dehydrated skin.

Notice the difference. You aren’t merely saying “Show my ad when someone searches for night cream.” You’re giving the advertising system a description of the customer situation where your product is relevant — and the headline answers the exact need the user just described.

That is the fundamental shift from traditional keyword advertising to conversational advertising.

How to Build a ChatGPT Ads Campaign

OpenAI’s current Ads Manager Beta follows a structure of: Campaign → Ad Group → Ad.

• The campaign controls the broader objective, budget, dates and location.
• The ad group organizes a specific theme or intent and includes context hints.
• The ad contains your headline, copy, image and landing page.

Step one in Ads Manager is the campaign itself: campaign name, objective, country, budget type and the conversion event you want to measure. For Mobile Mandir, the structure could look like this:

This structure allows different customer needs to have different messaging and landing pages.

How Much Do ChatGPT Ads Cost?

This is where advertisers need to be careful. There isn’t a universal “ChatGPT Ads CPC.”

OpenAI currently supports CPM and CPC buying, and also conversion-optimized CPC campaigns. For CPC campaigns, OpenAI currently recommends starting with a maximum bid of approximately $3–$5 per click, although that is a starting bid recommendation — not a guaranteed amount you will pay. The auction is relevance-weighted and uses a second-price mechanism.

More importantly, OpenAI says ChatGPT Ads is still in beta and does not yet have reliable performance benchmarks across industries or campaign types. So businesses shouldn’t promise clients “ChatGPT Ads will cost $2 per click.”

The honest approach is: Test → Measure → Optimize → Scale.

How Much Should a Small Business Spend?

For an initial experiment, don’t start by spending thousands of dollars without measurement. A better approach is to establish:

CPC → Landing-page engagement → Conversion → Customer acquisition cost → Revenue → ROAS

For Mobile Mandir, for example, we can compare:

• Aarti: Ad → Aarti page → App Store/Google Play → Install
• Seva: Ad → Seva page → Seva checkout → Purchase

The second may have a higher CPC but could potentially generate more business value.

Tracking ChatGPT Ads

Tracking is not optional if you want to understand performance. ChatGPT Ads Manager currently reports metrics such as:

• Impressions
• Clicks
• Spend
• CTR
• Average CPC
• Average CPM
• Conversions, when conversion measurement is configured

Advertisers can also add UTM parameters to landing-page URLs to identify ChatGPT traffic in existing analytics platforms. For example:

• utm_source=chatgpt
• utm_medium=paid
• utm_campaign=mm_aarti_us
• utm_content=aarti_ad_01

Your analytics system can then identify the traffic source and campaign. For an app campaign, you should additionally consider mobile attribution through a supported measurement partner such as AppsFlyer or Adjust, depending on your existing technology stack.

Google Tag Manager Can Help

For websites already using Google Tag Manager, implementing tracking through GTM can make campaign measurement easier to manage. A typical setup could look like:

ChatGPT Ad → UTM Landing URL → Mobile Mandir Website → OpenAI Pixel → Google Tag Manager → Conversion Event → Ads Manager

You can then track actions such as:

• App Store click
• Google Play click
• Aarti view
• Aarti play
• Seva page view
• Seva checkout started
• Purchase
• Registration

The exact implementation should be handled by the development/analytics team according to OpenAI’s current measurement documentation.

ChatGPT Ads Creative Strategy

ChatGPT Ads aren’t simply about targeting. Creative matters. OpenAI recommends clear, specific, benefit-focused messaging and multiple creative variations.

The creative screen gives you a 50-character headline, a 100-character description and a square image — every field is a variable worth testing.

For Mobile Mandir, instead of making every advertisement say “Download Mobile Mandir App”, we can test:

Different messages can appeal to different moments of intent.

ChatGPT Ads vs Meta Ads

This is going to be one of the most interesting comparisons for marketers.

Meta

Meta can be extremely powerful for:

• Interest targeting
• Demographics
• Lookalike audiences
• Retargeting
• Visual storytelling
• Reels
• Broad acquisition

ChatGPT

ChatGPT potentially has an advantage when the user’s current intent is particularly relevant. For example:

• Meta: Person appears interested in spirituality.
• ChatGPT: Person is actively asking about Aarti.

That doesn’t automatically make ChatGPT Ads better. It creates a hypothesis worth testing. The right comparison should be:

The winner isn’t necessarily the platform with the cheapest click. The winner is the platform that generates the best business outcome.

Who Should Advertise on ChatGPT?

This is where ChatGPT Ads could become especially interesting.

1. Skincare & Beauty

“What’s the best night cream for dry skin?”

Potential advertisers: skincare brands, night creams, moisturizers, serums and beauty retailers. The campaign can be structured around specific customer needs.

2. SaaS Companies

“What’s the best CRM for a small business?”

Potential advertisers: CRM software, marketing automation, sales tools, accounting software and project management platforms.

3. Travel Companies

“I’m planning a 7-day trip to Japan. What should I book?”

Potential advertisers: hotels, travel agencies, luggage brands, travel insurance, tours and experiences.

4. Education

“How can I learn digital marketing?”

Potential advertisers: online courses, universities, bootcamps, training platforms and certification providers.

5. Financial Services

Potential use cases include people researching financial products, although advertisers must pay close attention to applicable advertising and platform policies.

6. Home Improvement

“What’s the best flooring for a house with dogs?”

Potential advertisers: flooring companies, home improvement stores, interior designers and contractors.

7. Consumer Electronics

“Which laptop is best for video editing?”

Potential advertisers: laptop manufacturers, electronics retailers, accessories and software providers.

8. Local Services

“Find a plumber near me.”

Businesses offering relevant local services could potentially benefit from being present around high-intent conversations, subject to availability, targeting and applicable policies.

9. Religious & Devotional Services

Mobile Mandir is an interesting example.

This is a very different approach to advertising than simply buying demographic audiences.

Who Should NOT Rush Into ChatGPT Ads?

ChatGPT Ads may not be the first choice for every business. Be cautious if:

• Your product has no clear customer problem/use case.
• Your landing page is poor.
• You don’t have conversion tracking.
• Your average customer value is very low.
• You have no way to measure revenue.
• Your product isn’t relevant to conversational research.
• You expect guaranteed keyword-level targeting.
• You expect instant scale from a tiny test budget.

Because ChatGPT Ads is still a relatively new platform, businesses should treat early campaigns as structured experiments rather than assume mature-platform benchmarks. OpenAI explicitly notes that reliable cross-industry performance benchmarks aren’t yet available.

How to Start ChatGPT Ads

OpenAI currently provides a self-serve Ads Manager Beta. The starting point is the OpenAI Ads Manager. OpenAI’s current launch process is broadly:

1. Create Ads Manager account
2. Add brand information
3. Set up billing
4. Complete verification
5. Create campaign
6. Create ad groups
7. Add context hints
8. Create advertisements
9. Add landing pages
10. Submit for review
11. Launch
12. Monitor performance

OpenAI’s official quickstart guide is also useful before you build your first campaign. And advertisers should review the official OpenAI ChatGPT Ads Help Center documentation before launching, because the platform is still evolving.

A Practical ChatGPT Ads Checklist

Before launching, ask:

The Future of Advertising

The Future of Advertising May Be Intent, Not Just Keywords

The biggest takeaway from ChatGPT Ads isn’t simply “Here’s another advertising platform.” It’s the possibility of moving advertising closer to the moment when someone explains what they actually want.

Google transformed advertising by connecting ads to searches. Social media transformed advertising by connecting brands to audiences. Conversational AI introduces another possibility: connecting businesses to expressed intent inside a conversation.

That’s why a skincare company should think beyond “people interested in skincare.” It should think:

“People currently trying to decide which night cream is right for their skin.”

And Mobile Mandir shouldn’t simply think “people interested in Hinduism.” It can think:

• “People looking for an Aarti.”
• “People wanting to perform Gau Seva.”
• “People looking for animal-feeding Seva.”

That shift — from audience targeting to intent-based relevance — is what makes ChatGPT Ads worth testing.

Final Takeaway

ChatGPT Ads are still an emerging advertising channel, and businesses should not treat them as a replacement for Google Ads or Meta Ads. Instead, think of them as a new layer in the performance marketing ecosystem.

The strongest opportunities are likely to come from businesses where the customer naturally asks questions before making a decision.

• Skincare: “What night cream should I buy?”
• Software: “What CRM should my small business use?”
• Travel: “What hotel should I book?”
• Education: “How can I learn this skill?”
• Home improvement: “What flooring is best for my house?”
• Devotional services: “Where can I listen to Hanuman Aarti?”

The more clearly your product solves the problem being discussed, the more compelling the advertising opportunity becomes.

And that’s the experiment we’re currently designing for Mobile Mandir: starting with a small budget, testing Aarti and Seva intent, tracking every important step, and comparing the resulting CPC, installs, conversions and business value.

Need Help Running ChatGPT Ads?

If you’re looking for an agency to help with ChatGPT Ads strategy, campaign creation, context-intent targeting, conversion tracking, landing-page optimization and performance marketing, SEOILY can help.