REVIEWS.io logo REVIEWS.io automation · runs weekly

Moderate fake and spam REVIEWS.io reviews

A competitor, a bot or a customer of another company leaves a one-star review, and it stays on your widgets until someone finds it and files a moderation request.

Cotlet does it in your own REVIEWS.io account with list_reviews, get_review, list_invitations and moderate_review, called by your AI agent, an n8n workflow or a script.

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Hosted · nothing to install or maintain

Can REVIEWS.io do this on its own?

REVIEWS.io's API index lists no moderation endpoint (checked 23 Oct 2026). Moderation is a button in the Timeline, and bulk removals go through the dashboard live chat.

How you do it in REVIEWS.io today

  1. Open Timeline in the dashboard and search for the reviewer by name or email address.
  2. Click the review, click Moderate, enter a reason such as "not a real customer", "offensive content" or "incorrect company", and submit.
  3. A review can also be reported with the report option on the company profile page.
  4. A decision usually takes about an hour, and the change shows within an hour after that.
  5. Reviews that came from Google have no Moderate button: they are reported on Google, and support can sync one that was removed there.
  6. To stop spam at the source, Publishing Options has a switch for the public "Write a review" form; with it off, only customers you invite can leave a review.

How to moderate fake and spam REVIEWS.io reviews

Prompt

Look at 1 and 2 star reviews from the last week. Check whether the reviewer was ever invited. Send obvious spam to moderation with a reason and list the doubtful ones for me.
  1. 01

    Collect the suspects

    list_reviews runs with rating_max set to 2 and date_from set to the start of the week. The agent follows next_cursor until the window ends.

  2. 02

    Read the whole review

    get_review returns the full text and the reviewer email. Reviews that came from Google are left out, since they have no Moderate button.

  3. 03

    Look for an invitation

    list_invitations with the reviewer email shows whether you ever invited that person. No invitation is only a signal, not proof, because customers can also use the public form.

  4. 04

    Sort into two piles

    Spam links, abuse and reviews about another company go to moderation. Anything that might be a real unhappy customer stays on your list with the reason it was doubtful.

  5. 05

    File the request

    moderate_review sends one request per review with a reason in your words. It waits for your OK by default, because Cotlet has no tool to undo a moderation.

  6. 06

    Check back

    On the next run, list_reviews shows whether the earlier requests went through, since decisions usually take about an hour.

What you get back

Example data

Reviews with 1 or 2 stars this week: 9
Sent to moderation 3:
- "Visit my-shop-deals.example for coupons": spam link
- Review about a different brand: incorrect company
- "You are all thieves": offensive content
Left for you 5:
- Omar Rahim: no invitation found, but he mentions order 77412
Skipped 1: Google review, no Moderate button

Other ways to ask

  • Every Monday, report reviews with an external link in the text and send them to moderation.
  • Find 1-star reviews whose reviewer was never invited and list them without moderating anything.
  • Moderate reviews that name another company and give "incorrect company" as the reason.

What REVIEWS.io allows, and what to know first

  • REVIEWS.io gives example reasons for a moderation request: "not a real customer", "offensive content" and "incorrect company".
  • Moderation decisions usually take about an hour, and visibility changes appear within an hour after the decision.
  • Google-sourced reviews have no Moderate button; they are reported on Google.
  • A review flagged several times goes to an escalated queue automatically.
  • Bulk removals and disputes about a moderation decision go to REVIEWS.io support through the dashboard live chat.

moderate_review asks for your OK by default. To run it weekly without you, switch confirmation off for that tool in your dashboard.

Sources: REVIEWS.io Help: Managing and moderating reviews · REVIEWS.io Help: Verified reviews and moderation FAQs · REVIEWS.io Help: Invitations history

Call moderate_review from a script

curl

curl -X POST https://cotlet.dev/api/v1/reviews-io/reviews/4829417/moderate \
  -H "Authorization: Bearer $COTLET_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"reason":"not a real customer"}'

Example response

{
  "review_id": "4829417",
  "status": "submitted",
  "reason": "not a real customer"
}

MCP: add https://cotlet.dev/mcp/v1 with the same key; the call is reviews_io_write → moderate_review. Example data.

Schedule it in n8n, Make, Zapier or cron

REVIEWS.io tools this automation uses

Cotlet REVIEWS.io tools used to moderate fake and spam REVIEWS.io reviews
Tool Parameters
list_reviews type, search, rating_min, rating_max, date_from, date_to, cursor
get_review review_id
list_invitations status, invite_type, email, order_id, date_from, date_to, cursor
moderate_review review_id, reason
All 13 REVIEWS.io tools with descriptions

Frequently asked questions

Is it safe to connect REVIEWS.io to Cotlet?

Yes. You sign in to REVIEWS.io yourself, in your own Cloud Browser in the EU, and we never save your password. Your agents only get REVIEWS.io once you enable it, every background request is listed, and the browser profile is stored encrypted with AES-256-GCM, the cipher 1Password uses for its vaults. The AI model never sees a login, posts and messages wait for your OK, and Disable for agents cuts access in one click. Independent scanners grade cotlet.dev A+ on Qualys SSL Labs, securityheaders.com and Mozilla Observatory; live results are on https://cotlet.dev/security.

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