What factors make up a good review in the AI era?
Here Are The Important Features of Reviews to Google
Google uses a combination of AI, machine learning, and human moderators to check all reviews against these policies.
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| Brand trust will be affected by how many reviews are unfairly flagged |
Authenticity and Relevance
Genuine Experience: Reviews must be based on the user's actual, personal experience with the business or place.
Relevant Content: The content should be relevant to the location or product being reviewed, not general social or political commentary, personal rants, or off-topic information.
No Conflicts of Interest: Users should not review their own business, a competitor's business, or a former employer.
No Incentives: Reviews should be voluntary. Offering or accepting payment, discounts, or free goods/services in exchange for a review (positive or negative) is strictly prohibited.
Helpfulness and Detail
Informative & Insightful: Good reviews offer specific, relevant details about what other visitors are likely to experience, highlighting "highs and lows".
Descriptive: Vague reviews that only say "good" or "ok" are less helpful than those describing the setting, service received, price range, or accessibility features (e.g., wheelchair access).
Constructive Criticism: Even when frustrated, feedback should be respectful and constructive to help the business improve.
Include Visuals: Adding clear, relevant photos or videos that are not selfies can enhance the review's quality and utility.
Policy Compliance
Respectful Language: Profanity, hate speech, threats, harassment, and sexually explicit material are not allowed.
Privacy: Do not include personal information like phone numbers, addresses, or full names of individuals other than your own without consent.
No Commercial Promotion: Reviews should not contain promotional content, advertising, or links to other websites or businesses.
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