MQS™
Metadata Quality Score

The standard for metadata governance.

MQS is the metadata health score for digital asset libraries. Export your metadata, upload a CSV, and get a governance report in minutes. Free to start. No integrations required.

MQS does not measure completeness or accuracy. It measures governance.

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Metadata Data Points Scored
Records Analyzed
The Problem
Metadata quality is invisible until it breaks something

Digital asset libraries, product catalogs, and content repositories grow faster than the governance around them. Inconsistent tags, templated descriptions, orphaned fields, and silent metadata drift accumulate over months and years. By the time someone notices, the cleanup is already expensive.

No structural baseline

You know your metadata is not perfect. But you do not have a number to quantify how far off it is, or a way to measure improvement over time.

Audits are manual and slow

Reviewing metadata quality field by field takes weeks. Most teams never finish. The ones that do cannot repeat it consistently next quarter.

Quality means something different everywhere

Every team has its own standard for "good metadata." Without a shared standard, governance conversations go in circles.

How This Is Different
MQS measures the system, not the content

Data quality tools ask "are these values correct?" MQS asks "does this metadata show evidence of governance?" A perfectly accurate but ungoverned catalog will score poorly. A tightly governed catalog with gaps will score well. That is the point.

Traditional Data Quality Tools

  • Measure accuracy, completeness, freshness
  • Require system integrations and API access
  • Score individual records or fields
  • Flag wrong values
  • Need ongoing configuration

MQS

  • Measures structural governance and intentionality
  • Runs on a single CSV, TSV, Excel, or OpenDocument export
  • Scores your entire metadata structure
  • Identifies governance patterns and drift
  • Works immediately with zero setup
How It Works
Three steps. No integrations required.

MQS runs entirely on your metadata export. No API connections, no system access, no vendor lock-in. Upload a file and get a structural assessment in minutes. Direct platform connectors are coming soon.

1

Export your metadata

Pull a CSV, TSV, Excel (.xlsx, .xls, .xlsb, .xlsm), or OpenDocument (.ods) export from your DAM, PIM, CMS, MAM, or any platform that stores structured metadata.

2

Upload to MQS

Drop your file in. MQS analyzes vocabulary patterns, format consistency, template usage, field uniqueness, and field-purpose alignment across your entire dataset.

3

Get your free report

Receive an overall score out of 100, broken down by dimension and signal. See exactly where governance is strong and where it needs attention.

What You Get
A score, a diagnosis, and a path forward

MQS does not just measure. It tells you where your governance is strong, where it is breaking down, and what to prioritize. Every assessment produces a branded report with actionable recommendations.

Overall Score

A single metadata health score out of 100, weighted across both dimensions. Understand your governance posture at a glance, then drill into individual signals for specifics.

Branded Reports

Every assessment generates a structured, client-ready report with dimension breakdowns, signal analysis, AI-generated insights, and prioritized recommendations.

Platform Recommendations

Platform-specific guidance based on your DAM, PIM, or CMS. MQS knows the governance tools available in your system and recommends how to use them.

AI Readiness Assessment

A separate AI readiness overlay that tells you whether your metadata is ready for AI search, tagging, generation, and recommendations.

Team Portals

Shared dashboards for your team. Everyone sees the same reports, tracks the same clients, and works from the same governance baseline.

Filename Intelligence

Pattern analysis of your file naming conventions. Detects structured naming, camera defaults, delimiter usage, and segment classification.

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Sample Report
See what an MQS report looks like

Every report includes an overall score, signal breakdowns, AI-generated analysis, platform-specific recommendations, and an AI readiness assessment. Click or swipe to explore.

Overall Score
Score Breakdown
Signal Detail
Hierarchy Decomposition
AI Readiness
Folder Taxonomy
Recommendations

“MQS pulled out conclusions I already knew: duplications, vocabulary issues, and file name problems, all from a giant CSV. That is what built my confidence. It also surfaced patterns I would not have caught on my own. If it can do all that from a raw export, you can trust it with the full evaluation.”

Kyle Carson
Digital Asset Manager, Vanderbilt University
What MQS Measures
Two dimensions. Nine structural signals.

MQS evaluates whether your metadata shows evidence of structural governance: controlled vocabularies, consistent formatting, intentional design, and purposeful field usage. It works with exports from DAMs, PIMs, CMS platforms, MAM systems, and any source with tabular metadata.

Control

Primary dimension

Measures whether metadata values conform to consistent, bounded patterns.

  • Vocabulary Consistency
  • Format Consistency
  • Case Consistency
  • Placeholder Detection
  • Duplicate Absence

Intentionality

Secondary dimension

Measures whether metadata adds semantic value beyond mechanically derivable information.

  • Template Detection
  • Field Uniqueness
  • Completeness Spread
  • Field-Purpose Alignment
Collaboration
Built for teams, not just individuals

Every account includes a team workspace. Anyone who signs up with your company email is automatically connected to your organization. No invitations to manage. No permissions to configure.

Team Dashboard

Everyone on your team sees the same reports, tracks the same clients, and works from the same governance baseline. One place for your entire organization.

Client Collaboration

Share reports with external stakeholders via secure links. Attach a scored metadata report to a proposal, a budget request, or a project kickoff.

Progress Tracking

Run assessments before and after governance changes. Track score improvements over time and prove that your metadata investment is working.

Programs
An ecosystem for platforms and practitioners

MQS is not just a tool. It is a shared standard for metadata governance. Platforms integrate it. Consultants deliver it. Teams track it.

Platform Program

For DAM, PIM, and MAM vendors

Give your customers an independent metadata governance benchmark. Sales enablement, onboarding diagnostics, customer health monitoring. Trusted because it is not yours.

Learn more →

Professional Services

For consultants and integrators

Turn the manual metadata assessment you already do into a scored, branded, repeatable deliverable. Discovery, migration scoping, progress tracking, governance retainers.

Learn more →

Practitioner Program

Certified MQS practitioners

Earn the MQS Certified Practitioner credential. Access training, benchmark data, co-published case studies, and a directory listing with warm referrals.

Apply now →
AI Readiness
Your content library is only useful to AI if your metadata is governed

Every DAM, PIM, and CMS vendor is shipping AI features: search, tagging, generation, recommendations. These features run on your metadata. MQS tells you whether your metadata is ready for them.

Retrieval depends on vocabulary

AI search returns results based on your tags and categories. Inconsistent vocabulary means inconsistent retrieval.

Measures: Vocabulary Consistency

Training quality depends on descriptions

Auto-tagging models learn from your existing metadata. Templated or duplicated descriptions degrade training quality.

Measures: Template Detection + Field Uniqueness

Trust depends on structure

AI-generated metadata is only trusted when it follows established patterns. Inconsistent formatting and misaligned fields break that trust.

Measures: Format Consistency + Field-Purpose Alignment

"AI does not fix ungoverned metadata. It scales it."

Data Security
Your data never leaves your control

Your metadata is uploaded to temporary encrypted storage, processed, and then automatically deleted. No raw file contents are kept or transmitted to third parties.

No Server-Side Storage

Your uploaded file is processed entirely in memory. Nothing is written to disk. Nothing persists beyond the analysis.

No Cross-Client Exposure

Every analysis runs in complete data separation. Your metadata is never mixed with another organization.

Zero Data Retention

When analysis completes, your source file is deleted from memory. MQS retains only the computed score and report.

No Third-Party Sharing

Your metadata is never transmitted to external services, analytics platforms, or training pipelines. Zero retention. Zero sharing.

MQS processes structure and patterns, not the content of your metadata values.

Built For
The people responsible for metadata that no one sees until it fails
DAM & MAM Admins
Prove structural health with data, not anecdotes.
PIM & CMS Managers
Score exports to surface governance gaps before they reach production.
Content & Product Ops
Identify metadata gaps before they become scale problems.
Digital Asset Managers
Baseline your library before and after migrations.
Taxonomy & Schema Leads
Validate that enforced vocabularies are actually being followed.
Consultants & Integrators
Add scored metadata assessments to your practice. Deliver branded reports to clients.
Learn about Professional Services
When to Use MQS
Real moments when a metadata score changes the conversation

MQS is not a tool you run once and forget. It is a diagnostic you reach for at specific, high-stakes moments in the lifecycle of digital content.

Discovery

Client & Vendor Discovery

Understand what you are inheriting. Run an assessment during onboarding to see the structural health of metadata before committing to timelines or budgets.

Scoping

Migration Quoting

A source system scoring 44 is a fundamentally different migration than one scoring 82. See inside the data before you price the work.

Ongoing

Progress Reporting

You improved vocabulary governance, cleaned up templates, standardized formats. Show leadership: "We went from 42 to 71." Visible, measurable progress.

Validation

Post-Migration Health Check

Metadata is the most common casualty of platform migrations. Score the destination system and confirm that your data survived intact.

Quality Check

Agency Delivery Intake

An agency delivered 50,000 tagged assets. Before importing, score the metadata to verify it meets your governance standards.

Governance

Scheduled Governance Audit

Quarterly or annual assessments catch governance drift before it compounds. Think of it as an annual physical for your metadata schema.

Frequently Asked Questions
What you need to know about MQS
MQS accepts CSV, TSV, Excel (.xlsx, .xls, .xlsb, .xlsm), and OpenDocument (.ods) exports from any system that stores structured metadata, including DAMs, PIMs, CMS platforms, and MAM systems. If your metadata can be exported as a table, MQS can score it.
No. MQS runs entirely on your metadata export file. There are no API connections, no system integrations, and no vendor lock-in. You export a file, upload it, and get your score. Your data never leaves your control.
Most assessments complete in minutes. MQS analyzes vocabulary patterns, format consistency, template usage, field uniqueness, and field-purpose alignment across your entire dataset automatically.
Data quality tools measure whether individual values are correct, complete, and fresh. MQS is a metadata health score that measures whether your metadata as a whole shows evidence of structural governance. A perfectly accurate but ungoverned catalog will score poorly. A tightly governed catalog with gaps will score well. MQS measures the system, not the content.
MQS works with metadata exports from any platform: Digital Asset Management (DAM) systems like Bynder, Lytho, Acquia, and Brandfolder; Product Information Management (PIM) systems like Salsify, Akeneo, and inRiver; Content Management Systems (CMS) like Contentful and Sitecore; and Media Asset Management (MAM) platforms. Any tabular metadata export can be scored.
Yes. MQS is designed for tracking improvement over time. Run a baseline assessment, implement governance changes, then run again. Compare overall scores and signal breakdowns to measure the concrete impact of your metadata investment.
AI features like search, tagging, generation, and recommendations all run on your metadata. If your metadata is ungoverned, those tools produce unreliable results. MQS measures the exact structural signals that determine AI usability: vocabulary consistency for retrieval accuracy, template detection for training data quality, format consistency for machine readability, and field-purpose alignment for schema trust. MQS tells you whether your content library is ready for AI, and what to fix first.
MQS is designed for specific high-stakes moments: during client discovery to understand what you're inheriting, before migrations to scope cleanup work, after migrations to verify metadata survived intact, as a quality check for agency asset deliveries, for scheduled governance audits, and for progress reporting to leadership. Every score adds to a record over time, so the more you use it, the clearer your metadata governance story becomes.
Yes. Your file is temporarily stored in encrypted storage during processing, then automatically deleted when analysis completes. Each analysis runs in complete data separation. MQS retains only the generated score and report. No raw file contents are kept.
MQS is designed to analyze metadata exports from DAM, PIM, CMS, and MAM platforms. It is not designed, authorized, or configured for processing Protected Health Information (PHI) under HIPAA, payment card data under PCI-DSS, Social Security numbers, financial account numbers, or other regulated data categories. Uploading files that contain regulated data is prohibited under the Data Upload Terms.
Your uploaded file is temporarily stored in encrypted storage during processing to extract basic structure: row count, column count, and governance pattern signals. A quality score is computed and assigned a governance band. Once processing completes, the source file is automatically deleted. MQS stores only the report metadata: your filename, row and column counts, the computed score, and the labels you provided. You can delete any report at any time from your dashboard.
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