Client buys a 2,000-photo stock library for the year's campaigns. Uploads all of them to Content Builder. Filenames: IMG_4839.jpg, stock-0023.png, shutterstock_1928473.jpg.
Six months later, a designer needs "winter hiking" photos for a seasonal campaign. Searches the library. Finds nothing - filenames don't describe content.
Einstein Content Tagging solves this automatically.
What Einstein Content Tagging does
Enable it in Content Builder Settings. Einstein analyzes every image (existing and newly uploaded) using AI vision models and auto-assigns descriptive tags:
No manual effort. Tags are searchable - designer types "winter hiking" and finds the matching image.
Enabling
Content Builder > Settings > Einstein Content Tagging > Enable.
After enabling:
- New uploads tagged automatically on upload
- Existing assets tagged retroactively (can take time for large libraries)
Free feature in most Einstein-enabled editions. Confirm your client's edition includes it.
Nested tags for hierarchy
Flat tag lists get messy at scale. Nested tags organize hierarchically:
Search from broad to specific:
- Type "Outdoor" → all outdoor-related images
- Type "Outdoor > Hiking" → narrower subset
- Type "Outdoor > Hiking > Winter" → exact subset
Scales better than flat tags when the library is thousands of images across many categories.
Manual tag additions
Einstein tags are a starting point. You can add manual tags for:
- Brand-specific concepts Einstein doesn't recognize ("Fall Collection 2026", "Customer Story: Maria")
- Campaign associations ("Used in Q1 Sale")
- Usage restrictions ("Approved for email only", "Model release expires 2027")
Manual tags coexist with Einstein tags.
Search in practice
Content Builder search box accepts tag queries:
Complex queries beyond this need filtering in a separate UI, but simple tag-based search covers most designer needs.
When Einstein gets it wrong
AI vision isn't perfect:
- Ambiguous scenes may get sparse tags
- Branded/product-specific content may not be recognized accurately
- Artistic/abstract imagery sometimes tagged oddly
Review tags on important assets. Add manual tags where Einstein's output is thin or inaccurate.
Not a reason to skip Einstein - 90% auto-tagging plus 10% manual correction beats 100% manual tagging.
Pattern: new asset onboarding
When the client buys a stock library:
- Upload all assets into Content Builder (consider batching by folder/theme)
- Wait for Einstein to finish tagging (can take hours for thousands of images)
- Review a sample of tags for accuracy
- Add brand-specific manual tags for assets that need them
- Share a tag taxonomy reference with the design team
From that point, designers search by tag instead of filename. Asset discovery goes from minutes-per-search to seconds.
Pattern: ongoing tag hygiene
Monthly:
- Review recently uploaded assets for tag quality
- Add missing campaign association tags
- Move stale assets to an Archive folder (cleanup covered in Content Builder governance post)
Prevents library rot.
Mistake 1: Not enabling at kickoff
Upload 2,000 images without Einstein. Enable it later - retroactive tagging still works, but the library has been painful to search the whole time.
Enable at kickoff. Save the pain.
Mistake 2: Over-relying on auto-tags for brand content
Client's own product photos may not be tagged accurately. Einstein doesn't know "your brand's spring 2026 collection" is a concept.
Always add manual tags for brand/campaign-specific assets. Auto-tags are insufficient for those.
Mistake 3: Ignoring nested hierarchy
Flat tag list of 200 unique tags. Search hit rate is low because tags are too specific or too generic.
Set up nested hierarchy early - 20 top-level categories, each with subcategories. Scales better than flat.
Complement: asset governance
Einstein Content Tagging plus good folder structure plus consistent naming (covered in the Content Builder governance post) compounds. Searchable by tag, browsable by folder, identifiable by filename.
The three together make the library a resource, not a dumping ground.
Takeaway
Einstein Content Tagging turns a photo library from "where's that image?" into a searchable resource with zero manual tagging effort. Enable at kickoff, use nested hierarchy, supplement with manual tags for brand-specific content. One of the highest-value Einstein features for clients with large asset libraries.
Onboarding large asset libraries to SFMC Content Builder? Our Salesforce team structures taxonomies and enables Einstein tagging on production engagements. Get in touch ->
See our full platform services for the stack we cover.