Who advertises on ChatGPT? The brands shaping AI search

B2B tech, SaaS, and fintech brands do most of the advertising on ChatGPT today. Across the 73,720 placements we have logged from 2,210 advertisers, Mastercard leads the leaderboard, followed by Cloudflare, Monday.com, and Salesforce. Mastercard is the only major consumer-facing household name inside the top 15.

That shape is what makes ChatGPT advertising interesting right now. The buyer profile looks a lot more like early-stage LinkedIn than early-stage Google. This breakdown covers who is actually buying, which categories dominate the inventory, and what the absence of consumer brand types tells us about where the channel sits today.

The top advertisers on ChatGPT

Mastercard leads by a clear margin, and the rest of the top 10 is filled with software, infrastructure, and B2B data companies. Here is the leaderboard by total appearances in the placements we have captured.

What those brands have in common

A few patterns stand out. Most of the top 15 sell to technical or financial buyers. Cloudflare, Monday.com, Salesforce, HiBob, SAP, and Carta sell to people making software or finance decisions, a profile familiar from LinkedIn and B2B trade publications. The channel is also pulling in review and aggregator sites such as BestMoney, Capterra, and ZoomInfo Technologies Inc, a group that runs comparison-style campaigns designed to intercept high-intent prompts. With the notable exception of Mastercard, there is almost no consumer packaged goods or retail brand anywhere near the top of the ranking, and that gap is the most important signal in the data.

Where the categories cluster

The category breakdown makes the B2B lean concrete. Enterprise & Fintech and SaaS & Productivity account for more than 4,600 of the 7,181 ads we have captured, and the next four categories, Real Estate, Email Marketing & CRM, Crypto & Investing, and Cloud & DevOps, are all categories where buyers research, compare, and ask long questions before they spend.

The consumer side of the list makes the gap visible in numbers. The ten smallest categories by ad count, from Pet Care at 4 ads and Smart Home Devices at 5, through Insurance at 8, Laptops & Computers at 10, Gaming & eSports at 11, Personal Loans & Lending, Real Estate & Mortgage, and Home Services at 14 each, Furniture & Home Decor at 16, and Food & Beverage at 18, sum to fewer than 120 ads combined. That is roughly 5% of what Enterprise & Fintech alone delivers, and it converts the consumer-absence argument from a vibe into a verifiable fact.

What this signals about AI-search advertising

Three things. First, the channel is in a B2B-testing phase: companies with bigger margins per lead and longer sales cycles can justify the experimental cost, and SaaS and fintech are well-suited to test new ad surfaces. Second, high-intent question prompts on ChatGPT behave a lot like high-intent search queries on Google, which is why Real Estate shows up as the third-largest category and why review sites such as Capterra are so active. Third, the near-total absence of major consumer advertisers suggests that the pricing, the format, or the audience composition is still a hard sell for consumer CMOs today. That picture should shift as the channel matures, but for now the buyer profile resembles a niche B2B network far more than a mass-market search platform.

ChatGPT ads look more like early-stage LinkedIn than early-stage Google, and that tells us exactly who is willing to test the channel first.

What the data does not tell you

Two caveats are worth flagging. We track placements, not spend, and our sample skews toward niches where the prompting behavior is naturally commercial: buyers researching software, financial products, or property. Consumer categories with shorter purchase cycles, like Food & Beverage or Beauty & Skincare, may simply trigger fewer ad slots rather than reflect smaller budgets. And the leaderboard reflects who's testing the channel most aggressively right now, not who's spending the most in absolute terms. Treat the rankings as a read on testing intensity, not on committed dollars.