Should Your B2B Brand Test ChatGPT Ads Despite Early Performance Uncertainty?

Early ChatGPT ads are drawing interest but limited data and evolving features mean advertisers are still testing cautiously. CPMs have reportedly been high, with initial minimum spends in the six figures.

What Happened

OpenAI launched advertising in ChatGPT two months ago, but early adopters face significant challenges. Advertisers report high CPMs, six-figure minimum spends, and limited measurement capabilities. The platform offers impression-based campaigns with little insight into conversion outcomes. Some brands describe the product as feeling early and slow to mature, while others remain cautiously optimistic about accessing ChatGPT's growing user base.

Why This Matters for B2B Marketing Leaders

This development signals a fundamental shift in how prospects research solutions. If your buyers are using AI platforms for initial discovery and partner evaluation, your absence could mean invisibility during early-stage research. However, the lack of performance data makes budget allocation decisions difficult. B2B brands typically need clear attribution and ROI metrics to justify channel investment, especially in HR Tech and FinTech where compliance and measurement standards are stringent.

The Starr Conspiracy's Take

The smart play isn't rushing into ChatGPT ads but developing your AI advertising approach now. This mirrors early search advertising adoption patterns where first movers gained advantages once measurement improved. B2B buyers increasingly use conversational AI for partner research, making this channel potentially valuable for demand generation. Focus on understanding how AI platforms fit into modern B2B buyer behavior rather than immediate budget allocation. Test small if you have resources, but prioritize planning over tactical execution until performance metrics mature.

What to Watch Next

Monitor when OpenAI releases conversion tracking and attribution tools, likely within the next six months based on their stated roadmap priorities. Also watch for competitive responses from Google and Microsoft, which could accelerate feature development and drive down costs. Early performance benchmarks from B2B advertisers will provide important decision-making data.

Related Questions

How do ChatGPT ads actually influence B2B buyer decisions?

Early tests suggest ads increase brand visibility in recommendations rather than directly altering core answers. This could be valuable for B2B brands seeking awareness during research phases, though mapping this to traditional demand generation metrics remains challenging.

What budget should B2B brands allocate to AI advertising platforms?

Given six-figure minimums and unclear ROI, most B2B brands should limit initial investment to 5-10% of experimental budget for enterprise companies with sufficient scale. Focus resources on approach development and small-scale testing rather than significant budget commitments until measurement capabilities improve.

When will AI advertising platforms become viable for mid-market B2B brands?

Likely within 12-18 months as competition drives down minimums and measurement tools mature. Mid-market brands should use this time to develop AI advertising approaches and understand how these platforms fit into their demand generation mix.