MachineContext creates machine-readable versions of websites so AI systems can understand, recommend, and act on your content with precision.
Websites are built for humans — complex HTML, JavaScript, CSS, and layout code create visual experiences. But when AI agents visit, they see thousands of lines of noisy code.
A typical web page is 90% noise: tracking scripts, CSS frameworks, navigation menus, cookie banners, and layout divs. The actual content is buried.
The result: AI systems misunderstand your brand and recommend competitors instead.
We crawl your website and strip 90% of the noise — scripts, styles, tracking — leaving only meaningful content.
We add structured context that humans don't need but AI systems require — specifications, certifications, business attributes.
AI bots and humans visit the exact same URL but receive different content. No separate endpoints. No redirects.
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