What happened
AI ad placements are becoming a more practical consideration for PPC teams. They can now appear through dedicated AI platforms or within existing campaign types such as Search, Shopping and Performance Max.
Instead of relying only on fixed ad formats, these placements often work better when creative assets can adjust to user intent.
Why this matters
AI placements may affect lead quality as well as lead volume. For in-house marketers, this means performance should not be judged only by the number of recorded conversions. It also matters whether those interactions are relevant and commercially useful.
Standard PPC reporting may not show the full picture. Metrics such as ROAS and CPA still matter, but AI-driven interactions may also contribute to assisted conversions, brand sentiment, citation share, direct traffic and on-site behaviour.
Creative flexibility is becoming more important. Brands that use rigid ad formats may find it harder to get useful results from AI placements, as these environments often rely on adapting creative assets to match user intent.
What to do now
Review where your current campaigns may already be eligible for AI ad placements, particularly across Search, Shopping and Performance Max.
Build a testing plan with enough budget to gather useful data. Avoid making decisions based on a very small sample.
Create flexible assets that can respond to different user needs while still following your brand guidelines.
Broaden your reporting framework so it includes assisted conversions, direct traffic, on-site behaviour, citation share and brand sentiment alongside CPA and ROAS.
Set realistic expectations before testing. AI placements may show value across several touchpoints rather than through a single last-click conversion path.
Common mistake to avoid
A common mistake is treating AI ad placements in the same way as traditional PPC inventory.
If you only look at CPA or ROAS in isolation, you may miss the wider influence these placements have on research, brand recall, assisted conversions and later direct visits.
It is also risky to test AI placements without giving creative assets enough flexibility to adapt to user intent.
How Kraken Dev Co can help
Kraken Dev Co can help marketing teams review their paid media setup, tracking approach and landing page experience so AI ad placement tests are measured more clearly.
The aim is not to chase every new ad format. It is to help you understand where these placements may support stronger PPC performance, clearer lead tracking and more informed decision-making.
