topic/dam-benchmarks-answer-engines
What did the DAM industry's benchmarks miss?
DAM Cowboy · W43 · October 2026
Answer engines already read your PDFs and stale spec sheets. DAM benchmarks never asked whether they get you right. The industry measured upload speed, search accuracy, and user adoption. None of that matters if Perplexity cites a competitor because your metadata doesn't parse well for LLMs. One new benchmark does ask: when an AI reads your asset library, does it understand what you actually do? It's the question AI in digital asset management should have started with.
Also in this issue
- media-provenance-productionFrom Kyiv to Tokyo: an infrastructure for truth moves from pilot to production
- ai-agents-mcp-dam6 ways developers use AI agents and Cloudinary MCP to scale media management
- iptc-newscodes-q3-updateIPTC NewsCodes 2026-Q3 update released
- mcp-dam-explainerMCP is coming for your DAM. Here's what that actually means.
- cloudinary-video-api-featuresCloudinary Video API features you're probably not using yet
DAM Cowboy is published by Stacks, a DAM consultancy. We summarise industry news here; we do not report it, and the original source is linked above.
