Would you guess that this image contains an invisible watermark?
Original 2018 blog updated in 2026.
There is a vast amount of imagery available online. With Google Search, websites and social media, a suitable image can often be found in just a few seconds. However, the fact that you can download an image to your own computer does not mean that you are free to use it.
Was this image created by AI? This article has been edited with AI.
Artificial intelligence has quickly become a normal part of communications and marketing work. It is used to create images, edit photographs, produce text, create videos, generate subtitles and search for content. At the same time, a new question arises:
How can an organisation later know which assets have been created or processed using AI – and how can that information be preserved with the asset all the way through to publication?
From answer to insight: When LLM search feeds the metadata loop
One of the most powerful—but still underexplored—opportunities in AI-enabled DAMs is not just that an LLM can return the right asset, but that it can explain why that asset was returned.
If an LLM-driven search surfaces the correct image and shows how it maps to the DAM’s controlled vocabulary—concepts, taxonomies, relationships, and business terms—the search result becomes more than an answer. It becomes insight.
Suddenly, search is no longer a terminal action. It becomes part of a feedback loop.
Visual AI Search - the latest game-changing solution
Lets focus on how the search function can be enhanced in DAMs using Visual AI Search, allowing users to search using natural language or visual cues, thereby bypassing the limitations of keywords and traditional metadata-based search methods.
This user-centric approach not only improves satisfaction and productivity but also ensures that the full value of the digital asset repository is realized.
Using Artificial Intelligence (AI) to automatically identify and classify assets and objects in mediafiles can enhance the Digital Asset Management (DAM) workflow in several ways, while also providing more accurate and useful information about the assets.
Everywhere you turn, for the past months, you hear people discussing how incredible OpenAI's newly unveiled ChatGPT model is. Will the rapid AI development and the awareness of it's powers affect DAMs and how and what kind of AI can enhance digital asset management?
Yes, for sure metadata can be ingested using AI, and this input can be useful to automate classification and move media files to specific user groups. It can save time and effort in organizing and managing digital assets.