For most B2B companies today, ChatGPT Ads is a test-budget channel rather than a core one. Whether it works depends almost entirely on whether your specific buyers sit on Free or Go tiers — senior executives at well-resourced companies frequently do not, placing them structurally out of reach.
The question that settles it
Before evaluating creative, budget or measurement, answer one question: what share of your ICP plausibly uses ChatGPT on a Free or Go tier? Ads serve only to those users. Plus, Pro, Team, Enterprise and Business subscribers see none.
For a company selling developer tooling to engineers at mid-size companies, the reachable share may be substantial. For a company selling enterprise software to CFOs at large corporations, it may be close to zero, because those buyers are exactly the people whose employers provide a Team or Enterprise plan.
How to estimate reachability
- Segment your ICP by seniority. Practitioners and analysts skew toward free tiers; executives skew toward paid.
- Consider employer provisioning. Large enterprises increasingly provide Team or Enterprise accounts, which removes those users entirely.
- Check market availability. If your primary markets are not in the pilot, reachability is zero regardless of tier.
- Screen your category against ad policy. Some verticals are restricted.
- Ask a sample of customers directly. Ten conversations produce better data than any estimate.
That last step is underused and cheap. Customers will tell you which AI tools they use and on what plan, and the answers are frequently surprising in both directions.
What the channel is genuinely good at
Intent quality is high. Someone receiving an ad while actively working through a problem in conversation is in a more engaged state than someone scrolling a social feed. That is a real advantage and it is why the channel deserves testing rather than dismissal.
Competitive density is also low today. Most B2B advertisers have not moved here, which means early testing produces learning that is genuinely proprietary for a period. That window will close.
What it is currently weak at
- No firmographic targeting. You cannot target by title, company size or industry, which is usually the foundation of B2B media buying.
- Structural tier limitation. A share of most B2B ICPs cannot be reached at all.
- One ad format. Limited creative testing compared with mature channels.
- Developing measurement. Expect less granularity than LinkedIn or Google provide.
- Immature benchmarks. Cost expectations are still forming, so early spend is genuinely learning budget.
Our recommendation
Test it with a controlled budget alongside existing channels. Do not move budget out of LinkedIn or Google on current evidence — those channels have mature measurement, firmographic targeting and known economics, and trading that for an emerging channel is a poor risk trade.
Set a decision point at six to eight weeks with agreed criteria. If the reachability assessment came back weak, consider skipping the test entirely and putting the same budget into GEO, which reaches users on every tier including the paid ones ads cannot touch.
GEO or ChatGPT Ads, if you can only do one
GEO, for most B2B companies. It influences the recommendation itself rather than the space beneath it, reaches users on every tier, and compounds over time rather than stopping when spend stops.
Run together they are complementary — organic presence in the recommendation plus a sponsored placement — and that is the strongest position available. But if the budget covers one, the organic side is the better bet on current evidence, particularly given how many senior B2B buyers sit outside the ad-serving population entirely.