LLM Review Overview
Google has started using Large Language Models (LLMs) to automate parts of its ad policy review process. This technology enables faster, more consistent ad reviews but also introduces new considerations for advertisers.
How LLM Review Works
- Ad submission: When you create or modify an ad, it enters the review queue
- Automated review: LLM analyzes ad text, landing page content, and account history
- Policy matching: The model checks against Google's advertising policies
- Decision: Approve, disapprove, or flag for human review
- Human escalation: Complex or borderline cases are escalated to human reviewers
Impact on Advertisers
| Aspect | Before (Human Review) | With LLM Review |
|---|---|---|
| Review Speed | 24-48 hours | Minutes to hours |
| Consistency | Varies by reviewer | Consistent across reviews |
| False Positives | Lower | Potentially higher for nuanced cases |
| Appeal Process | Standard appeal | Same appeal process |
Best Practices for LLM Review Era
- Write clear, direct ad copy: Avoid ambiguous language that might trigger false positives
- Comply with policies: LLMs are thorough — don't try to game the system
- Monitor disapprovals: Check ad status regularly
- Appeal promptly: Use the appeal process for legitimate ads that are incorrectly disapproved
- Keep landing pages compliant: LLM reviews landing page content too
Common LLM-Triggered Disapprovals
- Medical claims without supporting evidence
- Financial services without proper disclosures
- Misleading or exaggerated claims
- Sensitive content detected in ad text or landing pages
Related: For handling ad disapprovals, see Google Ads Ad Disapproval Guide. For account suspension and appeal, check Account Suspension & Appeal Guide. For identity verification, see Identity Verification Guide.