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Review Spam Detection – BizStackPro Help

BizStackPro Help Center · Reputation Management

Review Spam Detection

Automatically detect, flag, and manage spam reviews so you can focus on real customer feedback and protect your online reputation.

Preventing Spam Reviews From Disrupting Your Reputation Management

Fake, irrelevant, or malicious reviews can create reporting noise, waste moderation time, and interfere with automated review response systems.

Review Spam Detection helps businesses flag suspicious reviews, filter spam content, and prevent Reviews AI from responding to low-quality or bad-faith feedback.

Without spam management tools, review dashboards can become harder to trust, customer sentiment data may become distorted, and public reputation workflows may be negatively affected.

This guide will walk you through how Review Spam Detection works so you can better manage questionable reviews while protecting the accuracy of your reputation data.

To begin, review the overview and understand how BizStackPro identifies, flags, and manages suspicious review activity.

Overview

Spammy or malicious reviews can distort your reporting, waste time, and risk awkward responses—especially if you’re using automated replies. BizStackPro’s Review Spam Detection helps by flagging suspicious reviews and giving you simple tools to mark, filter, and restore reviews as needed.

Best practice: Combine automatic detection with periodic manual review so legitimate feedback never gets buried.

What You Can Do With Spam Detection

  • Spot spam fast: Reviews flagged as spam show a clear visual indicator.
  • Mark as Spam: Manually flag reviews that look fraudulent, irrelevant, or malicious.
  • Filter spam-only: View only spam-flagged reviews to audit and clean up quickly.
  • Undo Spam: Restore a review if it was flagged by mistake.
  • Keep AI safe: Reviews AI will not respond to spam-flagged reviews.

How to Enable Review Spam Detection

  1. Open Reputation from your left-side menu.
  2. Click Settings in the Reputation area.
  3. Select Spam Reviews in the settings menu.
  4. Toggle spam detection On and click Save.

Note: After enabling, newly pulled reviews can be automatically flagged. You can still override with manual “Mark as Spam” or “Undo Spam.”

Daily Workflow

Here’s a simple routine to keep your review feed clean without babysitting it:

  • Check the Reviews list for spam indicators.
  • Use Mark as Spam on anything clearly fake or off-topic.
  • Switch to the Spam filter weekly to audit flagged reviews in bulk.
  • Undo Spam if a real customer’s review was flagged incorrectly.

Why This Matters

  • Cleaner reporting: Your trends and sentiment reflect real customer feedback.
  • Less time moderating: You spend less time sorting junk reviews.
  • Brand protection: Avoid replying (especially with AI) to bad-faith content.

Protect your reviews and your brand voice

Spam Detection helps keep your review stream authentic while preventing automated replies from engaging with spam.

Frequently Asked Questions

What does the new “Mark as Spam” feature do?

It lets you manually flag suspicious reviews. Flagged reviews show a spam indicator and can be filtered out so you can focus on genuine feedback.

How can I identify reviews marked as spam?

Reviews marked as spam display a clear visual indicator in the Reviews list.

Can I filter reviews to only show spam reviews?

Yes—use the spam filter to view only spam-flagged reviews, which makes auditing and cleanup faster.

What happens if I mistakenly mark a review as spam?

Use Undo Spam to remove the spam label and restore the review.

Will AI still respond to reviews marked as spam?

No—Reviews AI will not respond to spam-flagged reviews.

Why is this feature important for my business?

It improves review quality, saves moderation time, and protects your reputation by keeping spam out of your public and AI-driven workflows.

Keep your review stream clean and trustworthy

Enable Review Spam Detection and stay focused on real customers—while keeping spam out of reporting, widgets, and automated responses.

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