Artificial intelligence can produce a polished review in seconds, even when no purchase or visit took place. The safest way to assess suspicious feedback is not to guess whether a sentence “sounds like AI”, but to combine language, account behaviour and real-world context.
Possible signs of AI-generated reviews
- Fluent praise without a single verifiable detail.
- The same introduction, pros-and-cons structure and recommendation repeated across reviews.
- Marketing language copied from a product page.
- Large batches posted within a narrow timeframe.
- Claims about services, features or locations that do not exist.
One sign alone proves nothing. Real customers can write briefly, use formal language or create a new account. Automated AI detectors also produce false positives and should never be treated as definitive evidence.
A practical verification checklist
- Look for specific details about use, timing and outcome.
- Compare the review with the account's other contributions.
- Search for repeated phrases across different profiles.
- Check whether publication dates form an unusual cluster.
- Use verified-purchase or relationship evidence when available.
- Read balanced two-, three- and four-star feedback.
What businesses should do
Document URLs, dates and patterns before reporting. Do not publicly accuse a reviewer of using AI. Ask politely for information that would help identify the transaction and invite genuine customers to leave honest feedback consistently.
For additional context, read the Three-Star Rule and our guide to overly perfect online reviews.
Bottom line: look for coherence and evidence of a real experience, not a supposedly machine-like writing style.
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Article generated with the help of AI.
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