How does Google's algorithm differentiate between a genuine customer review and a fake or incentivized review on a Google Business Profile?

Google's algorithm employs various signals to differentiate between genuine customer reviews and fake or incentivized reviews on a Google Business Profile, though the exact methods are not publicly disclosed to prevent manipulation. These signals include: 1) Reviewer history: Google analyzes the reviewer's past review activity. A reviewer with a history of only reviewing businesses related to a single entity or leaving numerous reviews in a short period might be flagged as suspicious. 2) Review content: The algorithm examines the content of the review for unusual language patterns, generic praise, or repetitive phrases. Reviews that lack specific details about the customer's experience or focus solely on positive aspects may be scrutinized. 3) IP address and location: Google tracks the IP address and location of the reviewer. If multiple reviews originate from the same IP address or from locations far from the business's service area, it raises suspicion. 4) Timing patterns: A sudden influx of positive reviews within a short timeframe, especially if coinciding with a promotion or marketing campaign, can trigger a review by the algorithm. 5) Link analysis: Google considers whether the reviewer is connected to the business owner or employees through social networks or other online platforms. Reviews from individuals with close ties to the business are more likely to be scrutinized. 6) Reporting: Google considers reports from other users flagging reviews as fake or inappropriate. While no single factor guarantees the removal of a review, a combination of these signals can lead Google to remove suspicious reviews to maintain the integrity of its review system.