Why good search in DAM requires work
Why effective search in DAM is no accident
“The image must be somewhere in the system…”
We hear this phrase all the time in DAM projects. And it is often precisely this that surprises many companies: a Digital Asset Management system does not automatically work ‘like Google’. Upload a file, enter a search term and find the right result straight away – unfortunately, it is rarely that simple.
After all, effective search doesn’t simply happen because files are stored somewhere. It is the result of structure, rules, metadata and a common language within the company. A DAM is therefore not simply a large image folder. It is a knowledge system for digital assets. And to ensure this knowledge can be found later, preparation and clear rules are required.
No data, no results
Imagine an old cassette box from the 80s. You’re looking for ‘Looking for Freedom’ by David Hasselhoff. The cassette might be right in front of you, but if nobody has labelled it, you still won’t be able to find it.
That’s exactly how a DAM works.
A file named ‘IMG_5684.jpg’ tells you practically nothing. At first glance, no one knows whether it’s a product image, a campaign motif, a social media visual or perhaps an event photo.
People may often still be able to recognise an image. A search system, however, cannot. A DAM can only work with the information that is available.
That’s why structured data is the foundation of every search. Without a description, assets remain virtually invisible.
Metadata provides the actual context
However, files alone are not enough. It is metadata that makes content truly discoverable.
Metadata describes the properties, content and context of an asset. This includes, for example: titles, keywords, product names, campaign assignments, photographers, copyright information and locations.
Technical information can also be important. Modern DAM systems, for example, use EXIF data from images – information such as the camera used, the time the photo was taken or GPS data.
You can think of metadata as little sticky notes attached to each file. They tell the system what the file is about and in what context an asset is used.
The better this information is maintained, the more precise the search will be later on.
Last but not least: everyone writes differently
For many companies, this is where the real challenge begins.
The marketing department refers to it as ‘Product Alpha’. The sales department calls the same product the ‘Alpha Series’. In the PIM system, it might be called ‘Alpha 200’. To people, these sound similar or even identical. To search engines, however, they are completely different terms.
The same thing happens with photographers’ names, keywords or product descriptions.
- Car
- Automobile
- Vehicle
- Motorcar
Or with people:
- Jane Doe
- J. Doe
- Doe, Jane
The problem isn’t the search function itself. The problem is inconsistent data. That’s why a good DAM needs clear governance rules. These include taxonomies, controlled lists, drop-down fields instead of free text, and defined naming conventions.
Many companies underestimate the importance of a central glossary. This sets out the official names of products, the terms to be used and which synonyms are permitted. After all, a search system can only work reliably if everyone speaks the same language.
Searching is more than just comparing words
In addition, modern search engines use their own search logic.
For example, they give greater weight to certain fields than others. A product number can be significantly more important than a general description. This means that relevant results are displayed higher up in the results.
Search operators also play a role:
Product A AND Campagne Summershows only content that contains both terms.
Or search engines recognise word stems and synonyms. A search for “digital” can therefore also return results such as “digitalisation” or “digital platform”. Many users are unaware of this in their day-to-day lives. They only notice whether the search works “well” or “poorly”.
But behind a good search lies a surprising amount of design, data maintenance and governance.
Conclusion
Many companies launch a DAM project with the expectation: “We simply need quick access to images.”
But good searchability does not happen automatically. It is the result of well-structured data, properly maintained metadata and clearly defined rules.
A DAM only becomes truly valuable when information is consistently maintained, terminology is standardised and search mechanisms are deliberately designed.
Good search is therefore no accident. It is a project in its own right and often one of the most important success factors for a DAM system.
DAM United supports companies in this with vendor-neutral advice, governance concepts and practical DAM strategies, ranging from metadata models to search optimisation.