TL;DR
Etsy's automated systems catch the most obvious fake reviews (paid bot networks, identical text across shops, accounts created to leave one review). What they miss: subtle competitor-driven 1-stars, retaliatory reviews from related buyer accounts, and AI-generated reviews that follow a believable pattern. Sellers spot most of those, but only if they know what to look for.
What Etsy's system auto-catches
Etsy runs algorithmic detection on every review. The system flags:
- Account age red flags. Accounts created within hours of leaving a review and never used again.
- Repeated text. The same review text on multiple shops within a short timeframe.
- Posting pattern. Reviews submitted faster than humanly typing speed, or in suspicious bursts.
- Network signals. IP addresses, device fingerprints, payment methods linked to flagged accounts.
- Text-pattern markers. Generic phrases that match known review-farm templates.
Auto-caught reviews are removed quickly, often within 24 to 48 hours of posting. The seller never sees them in most cases.
What Etsy publishes about scope: not much. Etsy doesn't disclose how many reviews are auto-removed, but seller forum data suggests it's in the low single-digit percentages of review attempts.
What sellers spot that Etsy misses
The auto-system is tuned for high-volume fraud. It misses targeted, low-volume cases:
Type 1: Competitor-driven 1-stars
A competitor (often in the same niche) creates a buyer account, makes a small purchase, then leaves a 1-star review with vague complaints designed to look real.
Spot it: the buyer account has 1 to 3 reviews total, all 1-stars, all on shops in your category. Their ordering pattern matches reconnaissance (lowest-price item from each).
Report it: fake review template. Cite the buyer's review pattern. Etsy investigates the account, not just the review.
Type 2: Retaliatory from related accounts
A buyer who lost a dispute creates a second buyer account, buys a small item, and leaves a 1-star review. Etsy's auto-system might miss the connection if the new account uses different payment and shipping details.
Spot it: review text echoes themes from the original case, or matches a pattern with the original buyer's writing style. Posting timestamp close to case closure.
Report it: under retaliatory review. Reference the original case ID. Etsy investigates account linkages.
Type 3: AI-generated reviews
This is newer and harder to catch. Bots use LLMs to generate plausible-sounding reviews that don't match any template.
Spot it: review text reads slightly off. Generic without specifics. References features not in your listing. Lacks the small details a real buyer's experience would include.
Report it: under fake/manipulation. Note the generic-text pattern in your report.
Type 4: Friend-of-friend negative reviews
A relative or friend of a competitor posts a critical review. The account looks normal. The review reads as a real buyer.
Spot it: unusual to spot directly. Sometimes the buyer never opened a Convo, never asked for resolution, just dropped a 1-star. That's an unusual buyer pattern, but not proof.
Report it: if you have any pattern evidence (e.g., same name appearing elsewhere connected to competitors), file. Most cases here don't get removed because Etsy can't verify the connection.
How to spot a fake review in 60 seconds
Before reporting, check these five signals on the buyer account (visible in the order details):
- Account age. New accounts (under 30 days at review time) are higher-risk.
- Order count. Buyers with 1 to 2 lifetime orders posting 1-stars are higher-risk.
- Review pattern. Click the buyer's name; their public reviews show. A pattern of 1-stars across multiple shops is a strong fake signal.
- Text specificity. Real buyers mention specifics ("the blue option I picked", "shipped in 5 days"). Fakes are vague.
- Convo history. Real upset buyers usually message before reviewing. Fakes often don't bother.
3 or more red flags = report as fake. 1 to 2 red flags = report under whichever policy fits best (extortion, off-topic, etc.) and mention the secondary fake-pattern indicators.
Common scenarios
Scenario: 1-star from a buyer who only orders cheap items from competitors
Pattern: buyer's lifetime is 5 orders, all $5 to $10 items, from shops in your direct category. They left 1-stars on 3 of them. Yours included.
This is a competitor reconnaissance pattern. Report as fake. Include the buyer's review history as evidence.
Scenario: 1-star says "the bracelet broke" but you sell only earrings
Generic, wrong-product review. Report as fake. Etsy removes these because the text doesn't match your inventory.
Scenario: Two 1-stars on different days, same wording, different buyer accounts
Coordinated fake. Report both. Note the duplicate text in each report. Etsy investigates account links.
What NOT to do
- Don't report every 1-star as "fake." Genuine bad reviews exist and the report won't succeed.
- Don't fabricate connections. If you don't have evidence, don't claim it.
- Don't engage publicly with the suspected fake reviewer. Public reply legitimizes their account in Etsy's eyes.
- Don't post about the suspected fake on social media. Reviews from public accusations can backfire.
Related concepts
- Etsy's review policies, translated covers the policy that governs fake reviews
- How to remove a negative Etsy review covers the triage flowchart
- Removal request templates gives copy-paste wording for the fake-review case
- Etsy retaliatory review policy covers the related dispute-then-fake pattern
Sources
- Etsy Help: What to do if you receive a negative review (accessed May 5, 2026)
- Public Reddit threads in r/EtsySellers, 2024–2026 (fake-review patterns)
- Gold Shield original research, 2025–2026
Notes for human review: Auto-detection percentages are estimated; Etsy doesn't publish data. The "AI-generated reviews" pattern is observed in 2024–2026 but Etsy hasn't acknowledged it publicly.