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As AI reshapes the digital landscape, performance marketers face a new frontier. Large language models (LLMs) and AI Overviews show great potential in areas like SEO, but how does PPC fit into AI-driven search experiences? Google’s AI Max offers an interesting solution.
According to Google, brands using AI Max see 27% more conversions compared to campaigns with exact and phrase match keywords. Yet, leveraging generative AI requires careful balance.
At IDHL, we've been testing AI Max campaigns over recent months to understand their potential gains and limits.
Combining AI and PPC: what is the risk?
Using AI in paid search has benefits – smarter targeting, automated reporting, creative optimization, and more. However, relying too much on AI without oversight carries costly risks:
- Flawed data – LLMs and AI tools depend on the quality of input data. Inaccurate or biased data can harm performance, leading to poor decisions, irrelevant ads, or misdirected targeting.
- Impersonal campaigns – AI may improve targeting but can lack personalization. Without human insight and creativity, ads risk feeling generic and impersonal.
- Inefficiency and wasted spend – Without guidance, automated systems may overspend on broad terms, attract low-quality clicks, or pursue inefficient tactics. This includes costs from missed opportunities and fixing campaign errors.
This is why human-AI partnership is always best. AI can handle heavy lifting but needs support to avoid mistakes.
What is Google AI Max?
In response to AI's impact on search, Google developed AI Max for Search. This advanced suite uses Google AI to improve PPC campaigns with targeting and creative enhancements.
This feature boosts performance by automatically matching relevant ads to emerging user intent across platforms, optimizing creative assets, and expanding final URLs to direct users to appropriate pages.
Together, these features allow PPC campaigns to smartly adapt, keeping ads relevant to user queries.
Our results
After testing AI Max, we found promising outcomes:
- Travel clients saw 35-45% lower CPCs and 12% lower CPA compared to broad match keywords
- An insurance client achieved 27% lower CPCs versus exact, broad, and phrase match keywords
Your takeaways
We've identified insights that can transform PPC campaigns—with proper guidance.
Search term matching
One early observation was the wide range of search term matching. It captures both long-tail and short-tail queries.
Are these terms relevant? Generally, yes.
Should ads show for all? Not necessarily.
Like any match type, AI Max requires learning. We've seen relevancy improve as the algorithm refines intent understanding. This evolving process offers promise for more precise targeting.
Cost efficiency: A welcome surprise
CPCs are rising steadily, with Google reporting up to 6% YoY increases. However, AI Max brought a pleasant surprise: lower costs than traditional Broad and Exact matches.
This efficiency could make AI Max appealing for brands wanting to maximize budgets without losing performance.
AI Overviews
The most intriguing part of AI Max is its ability to capture queries triggering AI Overviews (AIOs) in Google SERPs. But what if paid ads appear in these snippets?
Ads in AIOs could drastically change how users interact with ads and how success is measured. This is an area we monitor closely.
The future of PPC
AI Max is in early stages, but PPC is clearly entering a transformative phase. As generative AI continues influencing search and ad delivery, staying ahead means testing, learning, and adapting fast. At IDHL, we constantly explore integrating AI into marketing strategies.
Contact us to learn about IDHL's PPC services and how we can boost your campaign performance.
