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Qurifix Review

Qurifix identifies missing product facts that hinder AI recommendations, providing a platform to audit, repair, and retest product listings across various marketplaces.

shipped Aug 13, 2026freemium
Qurifix — product screenshot

Why it matters

1Offers a freemium pricing model with Lite, Pro, and Enterprise tiers.
2Provides 10 Repair Asset units/month on the Lite plan and 40 on the Pro plan.
3Supports integrations with Shopify, Amazon, and experimental previews for TikTok Shop and Walmart.
4Ensures data retention for 7 days on the free plan, up to 730 days on Enterprise.

About Qurifix

Business Model
Subscription SaaS
Platforms
Web
Target Audience
Ecommerce teams and brands looking to improve their AI visibility

Pricing Plans

Free
$0 / one-time
  • • 3 Audit units
  • • 7-day history
  • • Sample report access
Lite
$39/mo
  • • 40 audit units / month
  • • 10 Repair Asset units / month
  • • 180-day history + export
  • • 40 successful cloud screenshot text recognition images / month
Pro
$129/mo
  • • 150 audit units / month
  • • 40 Repair Asset units / month
  • • 365-day history + export
  • • 150 successful cloud screenshot text recognition images / month
Enterprise
Custom / custom
  • • Custom audit units by agreement
  • • 200+ Repair Asset units / month
  • • 730-day history + export; enterprise controls by agreement.

Cost Examples

  • • 1 audit = 1 audit unit
  • • Audit Expansion = 2 audit units

Specs

API Available

Yes, public API

Screenshots

overview

What is Qurifix?

Qurifix is an AI-powered product evidence repair tool developed by Qurifix that enables e-commerce teams to optimize their product information for AI shopping answers. It focuses on identifying gaps in product data and generating 'Repair Assets' to improve how products are understood and recommended by AI engines across various marketplaces.

features

Key Features of Qurifix

Qurifix provides a suite of features designed to enhance product visibility and accuracy within AI-driven shopping environments. These capabilities focus on auditing, repairing, and monitoring product evidence.

  • AI shopping visibility improvement for product discovery and citation by AI search answers.
  • Auditing of public product evidence to identify missing facts and competitor pressure points.
  • Generation of 'Repair Assets' to update product page copy, FAQs, and catalog guidance.
  • Tracking of evidence gaps and repair priorities.
  • Measurement of retest movement to quantify improvements in AI understanding.
  • Multi-platform support for Shopify, Amazon, TikTok Shop, Walmart, and custom storefronts.
  • Chrome Capture for collecting public product page evidence.
  • CSV export for work queues and reports.
  • Read-only report sharing for client collaboration.

use cases

Who Should Use Qurifix?

Qurifix is designed for various stakeholders within the e-commerce ecosystem who aim to optimize their product data for AI-driven recommendations and search visibility.

  • Ecommerce sellers: To ensure their products are accurately represented and recommended by AI engines.
  • Brands and growth teams: To improve AI visibility for their product portfolios and identify competitive advantages.
  • Agency delivery Multi-product portfolios: To manage and optimize product evidence across multiple client accounts and platforms.
  • Shopify users: For monitoring storefront Product Detail Page (PDP) and FAQ evidence.
  • TikTok Shop users: For optimizing creator proof and short-form answers.

how to use

How to Use Qurifix

Getting started with Qurifix involves auditing existing product evidence, identifying areas for improvement, and generating specific assets to address these gaps. The platform guides users through a structured process to enhance AI understanding of their products.

  • 1Initiate an audit of public product evidence using Qurifix Capture or manual input.
  • 2Review generated reports that highlight missing product facts and competitor insights.
  • 3Utilize the platform to generate 'Repair Assets' for identified evidence gaps.
  • 4Implement the suggested updates to product pages, FAQs, or catalog data.
  • 5Conduct retests to measure the improvement in AI's understanding of the product.
  • 6Monitor product evidence strength and AI visibility over time.

pricing

Qurifix Pricing & Plans

Qurifix operates on a freemium model with tiered subscription plans, billed monthly in USD during its Early Access phase. Each plan offers varying allowances for audit units, Repair Asset units, and cloud screenshot text recognition.

  • Free Plan: $0, includes 7 days of data retention.
  • Lite Plan: $39/month, includes 40 audit units, 10 Repair Asset units, 40 cloud OCR images/month, and 180 days of history.
  • Pro Plan: $129/month, includes 150 audit units, 40 Repair Asset units, 150 cloud OCR images/month, 365 days of history, and portfolio monitoring for up to 50 products.
  • Enterprise Plan: Custom pricing, offers 200+ Repair Asset units, 730+ days of history, custom workspace grouping, dedicated support, and private hosting by agreement.

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Pros

  • +Specialized focus on optimizing product evidence for AI shopping answers.
  • +Generates specific 'Repair Assets' to address identified information gaps.
  • +Supports multi-platform auditing including Shopify, Amazon, and experimental TikTok Shop.
  • +Offers a freemium model with clear tiered pricing for scalability.
  • +Provides an API for integration and custom workflows.
  • +Ensures user data privacy with a 'never' policy for training on user data.

Cons

  • −Specific user reviews are not readily available in the provided data.
  • −Does not auto-publish changes to marketplaces, requiring human review and manual implementation.
  • −Free plan has limited data retention (7 days).
  • −Experimental previews for some platforms (e.g., TikTok Shop, Walmart) may indicate evolving support.
  • −Pricing for higher tiers (Pro, Enterprise) may be a consideration for smaller businesses.

Similar Tools

Qurifix vs Competitors

Qurifix differentiates itself by specializing in 'product evidence repair' specifically for AI shopping answers, contrasting with broader data management or syndication tools.

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