ChatGPT Ads at $100M: The Brands Spending and What Early Data Reveals

13 min read · April 28, 2026
ChatGPT Ads at $100M: The Brands Spending and What Early Data Reveals

OpenAI's ChatGPT ad pilot reached $100 million annualized revenue within six weeks of launch. Over 600 advertisers have signed up, including major brands like Williams-Sonoma, Target, The Knot, DSW, and BEHR. But early ROI data is mixed: brands cite FOMO rather than proven returns as their primary motivation. CPC prices dropped from $60 at launch to as low as $25 within nine weeks. OpenAI has launched an ads manager, is building a conversion tracking pixel, and turned on CPC pricing.

Meanwhile, agency experts say GEO (generative engine optimization) may be more beneficial than buying ChatGPT inventory right now. Georgia-Pacific is prioritizing GEO over paid ChatGPT ads, and agency CEOs say the ad product is "not an absolute must" at current prices. The article provides the first comprehensive look at who is spending, what the data shows, and whether brands should buy ChatGPT ads or invest in GEO first.

The $100 Million Milestone: What It Means

According to Reuters reporting, OpenAI's ChatGPT ad pilot achieved $100 million in annualized revenue within six weeks of launch. This is a significant milestone for several reasons.

First, it demonstrates commercial demand for ChatGPT inventory. Six weeks to $100 million annualized run rate is faster than many early-stage ad platforms achieved. It suggests that advertisers are eager to access ChatGPT's 900 million weekly active users and 50 million-plus consumer subscribers.

Second, the 600+ advertiser count indicates broad adoption across categories. This is not just tech companies testing a new channel. Williams-Sonoma (home goods), Target (retail), The Knot (weddings), DSW (footwear), and BEHR (paint) represent diverse verticals with different customer acquisition strategies. Their participation signals that mainstream brands see ChatGPT as a viable advertising channel.

Third, the milestone validates OpenAI's ad platform strategy. The company projected $2.5 billion in ad revenue for 2026 and $100 billion annually by 2030. While these projections are aggressive, the early traction suggests the platform is on a trajectory that could support meaningful revenue, even if the $100 billion target remains aspirational.

However, the milestone must be contextualized. $100 million annualized is impressive for six weeks, but it is a fraction of Google's $200+ billion annual ad revenue or Meta's $100+ billion. ChatGPT ads are still in the experimental phase for most advertisers, and the current run rate may not sustain as initial FOMO subsides and brands demand proven ROI.

Who Is Spending: The Early Adopter Profile

Digiday's comprehensive report on April 27 provides insight into the brands spending on ChatGPT ads and their motivations. The early adopter profile reveals three distinct segments:

FOMO-driven brands: Companies like Williams-Sonoma and BEHR explicitly cited wanting to be "on the offense" and "proactive" as their primary motivation. They acknowledged uncertainty about ROI but viewed early participation as strategic positioning. BEHR's quote: "We want to be proactive, we're on the offense."

Learning-oriented brands: DSW represents brands testing the channel with experimental budgets and clear learning objectives. DSW's approach: "Maybe it won't work, but we'll learn something." These brands are treating ChatGPT ads as R&D, not performance marketing.

Data-waiting brands: Some advertisers are watching from the sidelines, waiting for concrete performance data before committing meaningful spend. These brands recognize ChatGPT's potential but are skeptical of early-stage pricing and uncertain ROI.

This segmentation is typical for new ad platforms. The first wave consists of brands willing to experiment and absorb risk in exchange for first-mover advantage. The second wave waits for proof points before scaling investment.

What's notable is the absence of certain categories. Direct-to-consumer brands with sophisticated performance marketing capabilities, for example, are notably underrepresented in the early adopter list. This may reflect concerns about ChatGPT's conversion tracking capabilities, attribution challenges, or simply that performance marketers demand more mature infrastructure than brand marketers.

The Pricing Drop: From $60 to $25 CPC

One of the most telling data points is the price compression. ChatGPT ads launched at approximately $60 cost-per-click (CPC). Within nine weeks, prices had dropped to as low as $25. This 58% price decline reveals several dynamics.

First, initial pricing was likely set to capture maximum value from FOMO-driven demand. OpenAI and early advertisers knew that brands would pay a premium for access to ChatGPT's audience. As supply expanded and initial demand was satisfied, prices naturally corrected.

Second, the price drop suggests that early performance data may not have justified premium pricing. If advertisers were seeing exceptional ROI at $60 CPC, they would have sustained that price point. The decline to $25 implies that many advertisers found the initial pricing difficult to justify based on results.

Third, the price compression makes ChatGPT ads more accessible to mid-market brands. At $60 CPC, only large enterprises with substantial budgets could experiment meaningfully. At $25 CPC, a broader range of advertisers can test the channel without risking catastrophic budget burn.

The pricing trajectory will likely continue to evolve. As OpenAI launches conversion tracking capabilities and advertisers refine their targeting and creative, we may see price stabilization or even increases for high-performing campaigns. Conversely, if inventory expands faster than demand, prices may continue compressing. The key trend to watch is not the absolute price level but the price-performance ratio—what ROI advertisers are achieving at current CPC levels.

Ad Platform Maturity: Manager, Pixel, CPC

OpenAI has rapidly iterated on ad platform functionality since launch. Three developments are particularly significant:

Ads manager launch: OpenAI launched an ads manager for real-time performance monitoring. This gives advertisers visibility into impressions, clicks, spend, and basic performance metrics. Real-time monitoring is table stakes for any serious ad platform, and its launch indicates OpenAI's commitment to building mature infrastructure.

Conversion tracking pixel in development: OpenAI is building a conversion tracking pixel, which will allow advertisers to measure post-click actions like purchases, sign-ups, or other conversion events. This is critical for performance marketers who need to understand ROAS (return on ad spend) and optimize campaigns accordingly.

CPC pricing activation: OpenAI turned on CPC pricing inside ChatGPT, giving advertisers more control over spend and bidding strategies. CPC is the standard pricing model for performance marketing, and its activation makes ChatGPT ads more comparable to Google Ads and Meta Ads.

These developments signal that ChatGPT ads are evolving from an experimental inventory opportunity to a legitimate performance marketing channel. The ads manager provides visibility. The pixel will provide measurement. CPC pricing provides control. Together, they address the primary objections performance marketers have about new platforms.

However, the conversion tracking pixel is still "in development," which means advertisers currently lack closed-loop measurement. This gap is a significant friction point for performance-driven brands. Until the pixel launches and proves reliable, many advertisers will cap their spend or treat ChatGPT ads as brand awareness rather than performance marketing.

The GEO Counter-Argument: Organic May Beat Paid

While early adopters are experimenting with ChatGPT ads, agency experts and some brands are making a different bet: GEO (generative engine optimization) may be more valuable than paid ChatGPT inventory right now.

Georgia-Pacific, the consumer products giant, is explicitly prioritizing GEO over paid ChatGPT ads. The company's rationale: "let's make sure we have a consistent understanding of how our brands show up across LLMs" before investing in paid inventory. This reflects a strategic belief that organic AI visibility is foundational and should be established before paid amplification.

Agency experts echo this perspective. Flywheel SVP's comment: "I want to optimize GEO... that's a game you win through organic, not paid." Another agency expert: "I don't think [ads] is an absolute must brands need to overpay for."

The GEO argument rests on several premises:

The counter-argument is that paid and organic are not mutually exclusive. Sophisticated brands will invest in both. But the prioritization question matters: should you build GEO foundations first, then layer on paid ChatGPT ads? Or jump into paid inventory immediately?

The Strategic Decision Framework

For brands considering ChatGPT ads, the decision framework should consider four dimensions:

Category fit: Is your product category naturally suited to conversational AI discovery? Products that require research, comparison, or explanation (home improvement, weddings, electronics) may perform better than impulse purchases or commodities.

Performance maturity: Does your organization have the tracking, attribution, and optimization capabilities to run performance marketing on a new platform? If you lack closed-loop measurement, you'll struggle to evaluate ROI regardless of the platform.

Budget scale: Can you afford to treat ChatGPT ads as R&D rather than performance marketing? If you need immediate, predictable ROAS, ChatGPT ads at current pricing may not fit. If you have experimental budget and a longer time horizon, early participation may yield strategic advantages.

GEO foundation: Have you established organic AI visibility across ChatGPT and other engines? If your brand is invisible in organic ChatGPT answers, paid ads may feel inauthentic to users. If you have strong organic presence, paid ads can reinforce and amplify it.

Brands that score well on all four dimensions are positioned to be ChatGPT ad early adopters. Brands that score poorly should prioritize GEO and wait for the ad platform to mature.

The 2030 Vision: $100 Billion or Reality Check?

OpenAI's projection of $100 billion in annual ad revenue by 2030 is aggressive. For context, Google's annual ad revenue is approximately $200 billion. Meta's is approximately $100 billion. Achieving $100 billion would make ChatGPT ads one of the world's largest ad platforms within four years.

This projection assumes several things go right:

These are all plausible but not guaranteed. The more likely scenario is that ChatGPT ads become a meaningful but not dominant ad channel—perhaps $10-20 billion by 2030 rather than $100 billion. Even that would make it a significant player in the advertising ecosystem.

For advertisers, the takeaway is not to fixate on the $100 billion projection but to recognize that ChatGPT ads are likely here to stay as a legitimate channel, even if they don't reach OpenAI's most ambitious targets.

What Brands Should Do Now

Based on the early data, here's a practical approach for brands considering ChatGPT ads:

Audit your organic AI visibility first: Before spending on ChatGPT ads, understand how your brand appears in organic ChatGPT answers. Are you being cited? Are you appearing for relevant queries? If you're invisible organically, paid ads may have limited authenticity and impact.

Set experimental budget parameters: If you test ChatGPT ads, define success criteria upfront. What CPC are you willing to pay? What conversion rate do you need to achieve? Set clear stop-loss limits to avoid over-investing in an unproven channel.

Treat it as learning, not performance marketing: Approach ChatGPT ads as R&D, not as a performance channel expecting immediate ROAS. Focus on learning what works—creative formats, targeting approaches, user behavior—rather than optimizing for efficiency.

Wait for the conversion pixel: Until OpenAI launches and refines its conversion tracking pixel, performance marketers will operate with blind spots on post-click behavior. Delay major investment until closed-loop measurement is available.

Monitor price-performance trends: Watch whether CPC prices continue compressing, stabilizing, or increasing as the platform matures. Lower prices may make the channel more accessible; stable or increasing prices with proven ROI would signal maturity.

Build GEO foundations in parallel: Whether or not you invest in ChatGPT ads, invest in GEO. Organic AI visibility across all engines is valuable regardless of paid decisions. GEO investments compound and provide option value as the AI advertising landscape evolves.

The Bottom Line: Experiment Wisely, Prioritize GEO

ChatGPT ads at $100 million annualized is a legitimate milestone, but it does not prove the channel's long-term viability or justify uncritical investment. Early adopters are driven by FOMO and learning objectives, not proven ROI. Pricing has dropped 58% in nine weeks, suggesting early performance has not justified premium costs.

The strategic takeaway is not "avoid ChatGPT ads" or "go all in on ChatGPT ads." It is to experiment wisely while prioritizing GEO foundations. Brands that build strong organic AI visibility will be positioned to benefit from ChatGPT ads if the channel matures, but will not be dependent on it. Brands that skip GEO and jump straight into paid ChatGPT ads risk building visibility on leased land that may change pricing, policies, or effectiveness.

The AI advertising landscape is still forming. The brands that win will be those who test new channels while building durable, organic foundations that work across all platforms.

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FAQ

How much revenue has ChatGPT ads generated?

ChatGPT ads reached $100 million in annualized revenue within six weeks of launch, according to Reuters reporting. Over 600 advertisers have signed up to the platform.

Which brands are spending on ChatGPT ads?

Early adopters include Williams-Sonoma, Target, The Knot Worldwide, DSW, and BEHR. These brands span home goods, retail, weddings, footwear, and paint categories.

Why have ChatGPT ad prices dropped?

CPC prices dropped from $60 at launch to as low as $25 within nine weeks, a 58% decline. This suggests that initial FOMO-driven demand subsided and that early performance data may not have justified premium pricing.

Should brands invest in ChatGPT ads or GEO first?

Many agency experts and brands like Georgia-Pacific recommend prioritizing GEO (generative engine optimization) before investing in paid ChatGPT ads. GEO creates lasting organic visibility while paid ads only provide visibility while you're paying.

What ad platform features has OpenAI launched?

OpenAI has launched an ads manager for real-time performance monitoring, is developing a conversion tracking pixel, and has activated CPC pricing. These developments signal maturation from experimental inventory to performance marketing channel.

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