Media Metadata Audit

How AI Interprets Your Visual Content

AI systems do not extract meaning from visuals by examining the pixels. They extract meaning from the metadata that defines them. To a model, an image without alt text is an undefined object, a diagram without a caption has no role, and a video without a transcript contains no information at all. The visual may carry critical context for a human, but for an LLM it is semantically empty unless the meaning is explicitly declared.

This audit evaluates your visual layer the way a multimodal retrieval system processes it — as structured evidence that must be described, contextualized, and linked before it can influence interpretation or ranking.

It examines:
  • Whether your alt text provides a precise, literal definition of the visual content
  • Whether captions establish the purpose and informational role of the media
  • Whether filenames reinforce the identity of the asset or erase it
  • Whether transcripts expose the full informational payload of your videos
  • Whether ImageObject and VideoObject metadata construct a complete machine‑readable profile
  • Whether your media strengthens or weakens the entity relationships on the page
  • Whether your visual assets contribute to multimodal retrieval or remain invisible

Explore the MCO Media Metadata Technical Framework

Start with a free one‑page analysis to see your Multimodal Readability Index and what AI actually extracts from your media layer.

Check Media Metadata AI Readability — FREE
Full Site Audit — Media Metadata Machine Interpretability

Run the full Media Metadata machine interpretability audit across your entire site. Enter your homepage — we auto-detect your site segments. Edit, add, or remove pages before paying.