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Google Business Profile in 2025: Everything You Need to Know About Review Changes.

Google Business Profile Review Policy Updates and AI Algorithm for Review Approval in 2025

  1. Stricter Fake Review Policies

    In 2025, Google has made major changes to its Business Profile policies to ensure that reviews are genuine and not manipulated. Example: If a business receives multiple 5-star reviews from the same IP address or within a short time frame, Google’s AI will detect this pattern and flag those reviews as suspicious.
    Impact: Fake reviews can lead to profile warnings or even removal, which affects the business’s visibility on Google Search and Maps. —
  2. Mandatory Verification for Businesses Running Ads

    To maintain transparency, Google now requires businesses to verify their Google Business Profile before running Local Service Ads. Example: If a plumbing service wants to advertise locally, they need to claim their business address and complete verification using a postcard, phone call, or email.
    Impact: Unverified businesses may face ad suspension or reduced ad visibility. —
  3. AI-Powered Review Detection and Summaries

    Google uses artificial intelligence to analyze patterns and detect unusual behavior in reviews. AI also generates review summaries that highlight key feedback points for users. Example: If a restaurant suddenly gets 20 negative reviews in an hour, the AI flags them for review. Similarly, AI-generated summaries on Google Maps highlight common themes like “great service” or “slow delivery,” making it easier for users to get a quick overview.

Fighting Against Fake Business Listings Google is actively suing companies that create fake business profiles to mislead users. These fake listings often lead to financial scams or poor user experiences.


Example: In 2023, Google removed over 12 million fake business profiles. Lawsuits are now being filed to stop companies that create and sell these listings. —

  • Improved Review Approval Process Using AI Google’s AI now analyzes the content, timing, and source of reviews before pproving them. It looks for patterns such as:
    Repetitive content across different businesses. An unusual spike in positive or negative reviews. Reviews generated by AI or automated programs.


Example: If a digital marketing agency receives 30 similar reviews from different accounts, AI may flag and delay approval. —

  • Google Data on Review Removal (2023–2025) According to Google’s internal reports:
    45% more fake reviews were removed in 2023 compared to 2022. Google blocked over 200 million spam attempts on business profiles. Lawsuits and legal actions have increased against companies manipulating business profiles.

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