AI models learn from public text, and they are good at finding text that is already easy to read. They are poor at everything else: a catalogue trapped in a design-heavy PDF, a manual behind a menu that only renders with JavaScript, a knowledge base that answers a human but confuses a parser. That material is public and still effectively invisible. The AI Data Feed exists to close that gap.
Paste it in, or hand over a file
The starting point is deliberately small. Paste text, upload a document in whatever format you have, or share a link. There is nothing to install, no schema to learn and no format to convert to first. The format the content arrives in does not matter, because turning it into something a machine can read is the job the service does, not a prerequisite you have to meet.
What comes out
An open feed, not a locked document.
The system extracts the text, cleans it, and structures it into a machine-readable feed with a metadata file. The metadata links back to the original source, so a model reads the content without having to guess at the context around it.
Readable by design, not by luck
The difference between content an AI model uses and content it skips is rarely the quality of the writing. It is whether a crawler can reach the text, separate it from the layout, and tell what it is about. A feed built for machines answers all three by construction: the text is plain, the structure is explicit, and the link back to the source keeps it anchored to where it came from.
Once it is published in that form, crawlers from the major AI providers can read and index it the same way they already index the open web. The point is not a single provider or a single model. It is that the content stops depending on how well any one crawler copes with your layout.
Public means public, and that is the whole point
This is a discoverability tool, so everything it produces is meant to be found. Only submit content that is genuinely public and non-confidential. Once a third-party crawler has picked something up, that cannot be called back, so the rule is simple: if it should not be read by an AI model you do not control, it does not belong in a feed.
What fits well is the material most organisations already want people to find: product and shop information, articles and blog posts, manuals and documentation, tutorials and guides, service descriptions and FAQs. The things you would happily put on a public page, made legible to the machines that increasingly read those pages on someone's behalf.
Built and operated by AI SENSE AS
The AI Data Feed follows the same rule as the rest of what we build: keep the job narrow, make the output something a machine can consume directly, and do the conversion work so the person submitting does not have to. It is live now at data.aisenseapi.com.
Publish a feed
Make your content readable to AI.
Paste text, upload a document or share a link. No setup, no coding, no special formats.