Google Sees Slower Search Revenue Growth Amid AI Expansion
Google's search revenue growth slowed to 12% due to heavy AI spending, raising concerns among advertisers about the cost of reaching customers. The company's AI expansion may increase advertising costs, affecting campaign performance.
Original reporting · searchenginejournal.com
Original: “Google Search Revenue Growth Slowed To 12% – AI Mode Ads Are A Reporting Blind Spot via @sejournal, @brookeosmundson”
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How this was written. Awesome B2B wrote this article with a language model from Search Engine Journal’s reporting (model: @cf/meta/llama-3.3-70b-instruct-fp8-fast); it describes that reporting rather than adding to it. The original, linked above, is the full story.
Key points from Search Engine Journal’s report
- Google's search revenue growth slowed to 12% in Q3 due to heavy AI spending.
- Advertisers are concerned about the potential increase in advertising costs as Google expands its AI business.
- Google's AI Mode may be a factor in the slower search revenue growth, but the company still needs to prove its benefits to advertisers.
- Marketers are questioning the value of Google's AI expansion, citing unwanted traffic, broader keyword matching, and rising costs.
- Google needs to provide clearer reporting on AI Mode performance to help advertisers assess the effectiveness of their campaigns.
Alphabet's shares fell 13% after the company reported slower search revenue growth in its Q3 results, alongside significant spending on AI. This has renewed concerns about how Google will fund its AI expansion as search behavior changes.
Some marketers believe the results indicate that Google is prioritizing revenue over advertisers' interests, pointing to unwanted traffic, broader keyword matching, and rising costs. However, the earnings call does not provide conclusive evidence to support this claim.
Google's AI Mode, which is part of its AI expansion, may be a factor in the slower search revenue growth. The company's comments on AI Mode suggest that growing search usage is not translating into stronger revenue growth, and advertisers may question the benefits of expanding AI ad placements.
The company spent $51.36 billion on capital expenditures in Q3 and reported negative free cash flow of $9.07 billion. This substantial spending commitment raises concerns among advertisers about the potential increase in advertising costs as Google expands its AI business.
Advertisers are worried that Google's effort to improve AI monetization will lead to higher costs for reaching customers. The company can generate additional revenue by creating more advertising opportunities or increasing earnings from existing traffic, but each path has different consequences for campaign performance.
Marketers, such as Max Anderson and Daniel Koss, have expressed concerns about Google's revenue growth, arguing that the company is sustaining revenue by charging advertisers more for lower-quality traffic. However, Google's published auction and budget rules do not support this claim, and some practices described by Anderson are part of the company's standard rules.
Google still needs to prove to advertisers that its AI expansion will deliver positive results. The company has pointed to similar click-through rates for sponsored and organic product listings in AI Mode, but this does not provide a clear picture of ad performance, including conversion rates and lead quality. This article is based on reporting by Search Engine Journal.
Questions and answers
Why did Alphabet's shares fall after the Q3 results?
Alphabet's shares fell 13% due to slower search revenue growth and significant spending on AI, renewing concerns about how Google will fund its AI expansion.
What are advertisers concerned about regarding Google's AI expansion?
Advertisers are worried that Google's effort to improve AI monetization will lead to higher costs for reaching customers and potentially affect campaign performance.
What does Google need to prove to advertisers about its AI expansion?
Google needs to provide clearer reporting on AI Mode performance, including conversion rates and lead quality, to help advertisers assess the effectiveness of their campaigns.
