📋 Available on: Growth (up to 3), Enterprise (up to 10+), Agency, and Custom plans. Not available on Startup or Free plans.
Magic Fields are AI-powered classifications that automatically organize your user-generated content from Instagram and TikTok. Each new post is analyzed and categorized based on rules configured for your workspace, so content can be filtered, reported on, and surfaced without manual tagging.
⚠️ Caution: Magic Fields do not support YouTube content. Only Instagram and TikTok posts are analyzed.
What Magic Fields Can Do
Magic Fields analyze visuals, captions, audio transcripts, and mentions in each post. Each piece of content is automatically categorized according to the criteria configured for your workspace.
Common classifications include:
Which products are featured
Sentiment (positive, negative, or neutral)
Whether competitors are mentioned
Suitability for paid ads
Specific themes or campaign elements
When new UGC arrives in your workspace, Magic Fields run automatically. No manual action is required after setup.
Magic Fields vs Super Search
Archive offers two AI tools for finding and organizing content. They serve different purposes:
Use Magic Fields when you need:
Ongoing automatic organization of your content
Consistent tracking over time (e.g. product mentions, sentiment trends)
Structured data for reporting and analytics
Filters you'll reuse repeatedly
Use Super Search when you need:
One-time searches for specific content
Visual matching (find content similar to your top performers)
Text detection in images (logos, on-screen promotional text)
Immediate discovery without configuration
Magic Fields automatically classify all content as it arrives. Super Search is on-demand discovery.
Setting Up Magic Fields
Magic Fields are configured by the Customer Success team during onboarding or when a new classification type is needed. Setup follows these steps:
Discovery call — discussion of what should be tracked and how content should be organized (product categories, campaign themes, brand priorities).
Configuration — the team builds the Magic Field, defines categories, and sets up classification rules.
Testing and deployment — the field is tested and deployed to your workspace. Magic Fields can be applied retroactively to existing content on request — this is not automatic.
Ongoing use — after deployment, Magic Fields run automatically on all new content. Values can be filtered and searched like any other tag in Archive.
Locked Option Lists
For Magic Fields that use a fixed list of options — such as an official product catalog, approved campaign codes, or a strict set of labels — Archive can lock the field to predefined options only.
When locked:
Only the values configured during setup are available.
Manually entered values that don't match the list are rejected, instead of being added to the list.
The list stays strictly aligned with the source you defined (e.g. your product catalog).
When the field is not locked (the default), values typed manually in the dashboard that don't match an existing option are added to the list automatically. This is useful for fields where new categories are expected to appear over time, but it can cause unintended values to accumulate in the list.
To enable or change this setting on an existing Magic Field, contact your Customer Success Manager.
Common Uses
Product tracking — tag which products appear in each post to measure engagement and earned media value by product line.
Sentiment analysis — automatically score content as positive, negative, or neutral.
Ad quality scoring — identify UGC posts suitable for paid campaigns.
Campaign classification — tag content related to specific campaigns or themes for performance measurement.
Brand safety — flag content that may not align with brand guidelines or compliance requirements.
Viewing and Filtering Magic Field Results
Magic Field values appear in the UGC detail view — open any post to see its classifications in the side panel. The content library can also be filtered by Magic Field values to surface specific subsets.
Each Magic Field result includes thumbs-up and thumbs-down buttons. Using these to flag correct or incorrect classifications helps improve accuracy over time.
Credits
Each Magic Field run consumes credits from your workspace's monthly allowance:
Standard Magic Field: 1 credit per post, per field.
Pro Model Magic Field: 2 credits per post, per field.
Reprocessing: reprocessing a field counts as a new run and charges credits again.
Monthly credit allowances by plan:
Growth: 70,000 credits/month
Enterprise: 150,000 credits/month
Additional Credit Packs are available as add-ons. Contact your Customer Success Manager for details.
Getting Started
To set up Magic Fields, contact your Customer Success Manager or Archive Support. Setup starts with a discovery conversation about what should be tracked and how the field should behave.