Technical notes

This page covers the technical boundary of VidSEO at a high level.

Native HTML in the page DOM

VidSEO publicly describes transcript output as standard HTML rendered directly in the page.

That matters because it gives text-processing systems a direct page surface to read.

Co-location with the video

The transcript is meant to stay tied to the embedded video, so the text keeps the right context.

No inference layer

VidSEO does not add meaning.
It does not summarize, classify, or explain the video on its own.

Why this matters for AI systems

AI systems often work better with explicit text than with audiovisual content alone.

The right summary of VidSEO is therefore:

it exposes transcript text as readable HTML.

The wrong summary is:

it is a governance framework, answer engine controller, or ranking engine.

Secondary machine layer

This repository also publishes machine-readable files such as:

• meta.json
• ai-manifest.json
• links.json
• llms.txt
• llms-full.txt

Those files exist to reduce ambiguity.
They do not change the site's primary subject, which remains the product.