Historically, finding the right image often means remembering the exact keyword, tag, or filename it was saved under — and if you don't remember it precisely, it can be hard to find what you're looking for even when it's sitting right there in your archive.
AI Search solves this by letting you search using natural, descriptive language instead of exact keywords, making it much easier to discover visual assets in your DAM based on what they actually show.
Examples:
- Searching "person smiling in an office" can surface relevant lifestyle shots even if they were never tagged that way
- Searching "product shot on a white background" can return matching images regardless of filename
Who can use it?
AI Search is available on request as part of our Beta programme. Please contact your Customer Success Manager if you'd like your organisation to take part.
Once enabled by your Customer Success Manager:
- AI Search is turned on for all users in your organisation — there's no separate permission or setup required at a user level
- AI Search applies across all searches in both Point and Place
- AI Search currently works with images only; other asset types are not yet supported
- As a Beta feature, functionality may evolve based on feedback from participating organizations
How AI Search works
AI Search is designed to make content discovery easier — helping you find visual assets based on what's actually in them, not just how they were tagged or named. It's especially useful when you're browsing for inspiration rather than retrieving one specific known asset.
- Search using natural, descriptive language rather than exact keywords or tags
- Combine AI Search with your usual filters (folder, date, metadata, etc.) to refine results further — it works alongside your existing search tools rather than replacing them
- Easily switch between AI Search and your traditional Exact search depending on what you need
Turning AI Search on or off
- Users can toggle AI Search on or off directly within the search view
- Your last selection is remembered via cookies, so your preference is saved between sessions on the same browser
Getting the best results
AI Search works best with clear, descriptive language about what's actually in the image.
What AI Search is great for:
- Describing a clear subject or scene — "dog on a beach", "sunset over water", "team meeting in an office"
- Combining a couple of concepts together — "snow-capped mountain", "dark moody portrait"
- Describing mood or tone alongside a subject — "warm, inviting kitchen", "bright, energetic street scene"
- Describing how an image is composed — "overhead shot of a table", "close-up of a product"
Where it's less reliable:
- Very short or generic words (e.g. a single three- or four-letter word) can sometimes pull in unrelated results — adding more descriptive detail helps narrow this down
- Very specific sub-categories (e.g. an exact breed, model, or variant) may return the broader category instead of the exact match
- A style word used on its own (e.g. just "glowing" or "close-up" with nothing else) can surface a wide mix of unrelated images that share that visual quality — pairing it with a subject gives much better results
Tip: If your first search doesn't return what you expected, try adding more description rather than less — the more visually specific your query, the better AI Search can narrow in on the right assets.
Frequently Asked Questions
Do I need any special access to use AI Search?
No. Once your Customer Success Manager has enabled it for your organisation, it's available to all users — there's no additional permission required.
Does AI Search work for all asset types?
Not yet. AI Search currently supports images only. Support for other asset types may be added as the Beta progresses.
Can I use AI Search alongside my regular filters?
Yes. AI Search works in conjunction with your existing filters, so you can search descriptively and then refine further using folder, date, or metadata filters as usual.
If I turn AI Search off, will it stay off next time I search?
Yes. Your on/off preference is saved via cookies in your browser, so it will persist across sessions until you change it again.
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