Google says Gemini helped block 8.3 billion bad ads in 2025

Google says it used Gemini to strengthen ad enforcement in 2025 and blocked or removed more than 8.3 billion policy-violating ads worldwide. The company also suspended 24.9 million advertiser accounts, including 4 million tied to scam activity.

The company says Gemini now helps its systems understand intent, not just keywords. Google says the models analyze hundreds of billions of signals, including account age, behavior patterns, and campaign activity, to catch malicious ads before they reach users.

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Google says that shift made a big difference against fast-moving scam campaigns. According to its 2025 Ads Safety Report, the company stopped more than 99% of policy-violating ads before they ever served.

Google says scam defenses now work faster

Google says generative AI has made it easier for threat actors to create deceptive ads at scale, so it moved more of its review pipeline closer to real time. By the end of 2025, the majority of Responsive Search Ads created in Google Ads were reviewed instantly, with harmful content blocked at submission. Google says it plans to extend that instant review model to more ad formats in 2026.

The company also says Gemini improved how it handles user complaints. Google says its teams acted on more than four times as many user reports in 2025 as in the previous year, which helped it remove threats faster when bad ads slipped through.

Google argues that better precision matters for legitimate advertisers too. It says Gemini can better separate a real offer from a phishing lure or scam pitch, and that this reduced incorrect advertiser suspensions by 80% last year.

What Google’s numbers show

Google says advertiser verification remains a second line of defense. The company says identity checks help block bad actors before they can fully enter the ad system, while giving users more confidence about who stands behind an ad. Google’s advertiser verification help pages also show that the company can restrict or pause accounts when it suspects suspicious behavior, impersonation, scams, or misleading representation.

The biggest takeaway is simple. Google is no longer framing ad safety as a manual moderation problem or a keyword filtering problem. It is presenting this as a large-scale AI and signal analysis problem, where speed, intent detection, and account-level behavior matter more than matching a few suspicious words. That is an inference based on how Google describes the system in its report and blog post.

What this means for advertisers and users

• Scam ads will likely face faster takedowns at the submission stage, especially in formats Google already reviews instantly.
• Legitimate advertisers may see fewer mistaken suspensions if Google’s 80% reduction claim holds at scale.
• Identity checks will keep playing a bigger role in who can advertise and how quickly accounts can run campaigns.
• Threat actors will keep testing AI-generated scams, so this will remain an arms race between automated abuse and automated defense. Google says that directly in its write-up.

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