Generative engines like ChatGPT and Google’s AI Mode are quickly becoming part of how people search, learn and evaluate solutions. For B2B buyers, these tools are already shaping early research, vendor comparisons and internal alignment.
As these platforms evolve, marketers are asking a natural next question:
If generative engines are becoming discovery channels, should we be advertising in them too?
The answer isn’t a blanket yes or no. Like many emerging media opportunities, generative engine ads sit at the intersection of real potential and real constraints. For B2B marketers, the key is knowing when experimentation makes sense and what might drive you to wait.
Ads in generative engines are a rapidly evolving topic, and these recommendations have been crafted based on the current state of the landscape. We’ll continue to share updates to our recommendations as things evolve.
Key Takeaways
- Generative search engine ads are coming, but they’re still early. Inventory, targeting and measurement are limited and evolving quickly.
- Near-term B2B reach will be constrained. Many decision-makers use paid, ad-free plans, and genAI ads will primarily appear in free or lower-tier plans.
- Testing only makes sense in specific scenarios. Stable performance, flexible budgets and a genuine appetite for experimentation are must-haves.
- These should always be framed as tests. Never divert budget from proven, high-performing channels to fund them.
OpenAI and Google announce they will begin testing ads in generative AI search
Generative platforms are beginning to introduce native advertising experiences, signaling a shift toward monetized conversational environments that mirror search engines and social feeds.
In January 2026, OpenAI announced plans to introduce ads for select lower-tier plans. Google has also begun placing ads inside AI Mode, its generative search experience.
However, this is still a limited and fragmented landscape. Other platforms have paused or denied ad plans altogether. Perplexity paused its initiative in late 2025, and Google has stated that Gemini will remain ad-free for now.
For B2B brands, the priority is active monitoring. Tracking how ad products, access and audience behavior evolve across generative engines ensures brands are ready to test when capabilities mature and relevance aligns with clear business objectives.
The Opportunity for Ads in Generative AI Search — and the Constraints
On paper, generative engine ads are compelling. They promise strong contextual alignment, with the potential to appear alongside high-intent, highly specific prompts.
In practice, the limitations, especially for B2B, are significant:
- Reach may be constrained. Ads will primarily appear in free or lower-tier plans, while many B2B decision-makers opt for paid, ad-free subscriptions.
- Products are immature. Ad formats, targeting options and reporting lag behind established platforms like Google Ads and LinkedIn.
- Measurement is unclear. Attribution is still evolving, and it’s difficult to understand how sponsored content influences downstream behavior across channels.
Because of these factors, generative engine ads should not be viewed as a replacement for existing paid media programs, at least not in the near term.
Should You Test Ads in Generative Engines?
Generative engine ads are not a default next step for B2B marketers. They are an option, one that should be evaluated with the same discipline applied to any emerging channel. Our recommendation is to resist urgency and instead assess readiness. Testing is appropriate only when the fundamentals are in place.
Testing is advised when:
- Core channel performance is stable
- There is budget flexibility for experimentation
- The brand values learning, not just efficiency
Before allocating budget, brands should pressure-test their readiness. These questions help determine whether a test is warranted or premature.
Readiness checks to apply:
- Is performance strong enough to support incremental spend?
- Would a small test create material risk to pipeline if it underperforms?
- Are there foundational gaps in messaging, targeting, conversion, etc. that should be solved first?
- Does the audience or use case lend itself to conversational, context-driven engagement?
If the answer to any of these is no, the smarter move is to wait.
How to Approach Generative Engine Ads
When brands do decide to test, success comes less from tactics and more from mindset. This is not a channel to rush, over-optimize or overpromise against. The goal is controlled experimentation that informs smarter decisions elsewhere in the media mix.
These principles should guide any generative engine ad effort:
- Treat every activation as a test. This ecosystem is still taking shape. Outcomes are unproven by design.
- Set expectations appropriately. Reach and frequency will be limited for most B2B audiences in the near term due to paid, ad-free subscriptions.
- Protect what’s performing. Never pull budget from high-performing campaigns to fund experimentation. Tests should be powered by incremental dollars or reallocated from low-impact efforts.
- Optimize for learning, not perfection. Attribution will be imperfect. The value is in insight, not immediate scale.
Only the most disciplined brands will get this right. Ensuring to test deliberately, learn quickly and apply those insights across their broader demand and visibility strategies.
The Bottom Line: Test With Intent, Not Hype
Generative engine ads will almost certainly become a meaningful part of the paid media landscape over time. But for B2B marketers today, the opportunity isn’t about being first — it’s about being thoughtful.
The brands that win won’t chase every new placement. They’ll protect what’s working, test with intention and connect experimentation back to real business outcomes. Generative engine ads may earn a place in that mix, but only when the conditions are right.
If you’re evaluating whether (and when) to test emerging paid media opportunities, or want a clearer point of view on how generative engines fit into your broader demand and visibility strategy, we can help.
Reach out to start a conversation about building a paid media strategy that balances innovation with impact.
FAQs on Testing Ads in Generative AI
Can brands run ads in ChatGPT or other generative engines right now?
Not yet. While OpenAI has announced advertising plans, there is currently no open, self-serve way to buy ads. Early testing is limited and invitation-only. We’re tracking rollout details closely and will advise when meaningful opportunities emerge.
Can brands still bid on keywords that trigger AI Overviews?
Yes. Follow the data. While AI Overviews may push ads lower on the page and reduce click-through rates, they can also improve traffic quality by filtering out low-intent users. Prioritize keywords that drive meaningful performance and continue testing thoughtfully.
