Your team made the assets. Help marketing find them again: describe a remembered image in Library search, or bring a social post idea to Post Intelligence.
Describe an image or the work. Explore existing library assets, then inspect the details and available reasons. Brand context adds relevance without replacing product, color or exclusion requirements.
Illustrative example · authored requests and results, not a live search. AI-generated sample assets.
Keep in view: ivory bottle · outdoors · black cap · no studio shots
A seated person and foreground essentials suggest a break outdoors; the earthy colors fit the supplied brand direction.
Brand + work: A seated person and foreground essentials suggest a break outdoors; the earthy colors fit the supplied brand direction.
Check: AI-edited framing; not a verified product photograph. Check product details before use.
The person, winding trail and natural light support an everyday outdoor story.
Brand + work: The person, winding trail and natural light support an everyday outdoor story.
Check: The bottle is less prominent. Inspect product detail and the final crop.
A close view of the bottle beside a stream gives the outdoor pause a product focus.
Brand + work: A close view of the bottle beside a stream gives the outdoor pause a product focus.
Check: Check the actual product and version before use. The hand and bottle dominate the frame.
Brand context adds relevance. Fieldwork’s supplied direction: natural light, earthy colors, everyday outdoors. It helps assess fit; it does not override the requested product, color or exclusions.
Example requests are fixed. In the product, image descriptions use Library search; social post ideas use Post Intelligence. These are separate workflows.
The things that happen when your library exists but doesn't get used right.
Your team invests in photography and campaign assets. Later, marketing still returns to the handful of files everyone remembers. Daryl helps the full library re-enter the creative decision.
Tags and structured fields remain valuable for governance. Daryl adds visual analysis and semantic indexing so mood, composition, subjects, and brand cues are discoverable too.
Brand guidance often lives away from the selection moment. Daryl applies the active Brand Context while the marketer compares real assets and shows the reasoning behind the order.
Compare what the current direction asks for with what the library visibly contains. If no asset supports a required subject or setting, keep that gap explicit when planning the next shoot.
Six ways to explore the library and inspect the fit.
Natural language search across your entire library — find assets by describing what you want, not what the file was named.
Assets can be analyzed as they enter the library for visual mood, composition, dominant colors, subjects, and brand-fit evidence.
Maintain Brand Context for the workspace. Recommendations use it while keeping alternative assets and evidence visible.
Semantic indexing adds visual meaning alongside source details and manual metadata. Mood, composition and subjects give the team more ways to explore the library.
For a social post or post idea, compare assets against the message and active Brand Context, with written reasons beside the candidates.
Upload directly into DAMdaryl or connect a supported source. Use Library search to find images; use Post Intelligence for social recommendations. Analysis and saved Work support their respective workflows.
Governance establishes the approved library. Daryl adds Brand Context and visible reasoning when the team has to choose among those approved options.
Compare the evidence together: what the image shows, how it supports the current direction, and what it leaves unresolved. Refine the request or choose another asset when the fit is weak.
Search the library by description and inspect candidates for the marketing work at hand.
Explore DarylSemantic discovery · Brand Context · Connected-library options