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Framework · Layers

Machine Legibility

How do AI tools read and describe us? AI search and agents now sit between products and buyers, and they describe you from what they can read. Four layers keep that description accurate: a consistent description, crawlable content, documentation machines can read, and genuine mentions elsewhere.

  • Stage: Market to Grow
  • Discipline: Creativity × Technology
  • Graylemon original
The framework

Four layers between you and the machine.

Machine Legibility: one description, crawlable content, machine-readable documentation, genuine mentions.

This is not a promise of AI citations. Nobody controls what a model says. What you control is whether what it reads about you is accurate and consistent.

Fig. 02: Machine Legibility, as a model · point at a partLoops while in view
Each part

What each layer needs

One description

A single sentence for who you are, used on your site, your profiles and your press kit.

Evidence it's in place

Ask the main AI assistants who you are, and compare their answer with your sentence.

Crawlable content

The words live in the page itself, not behind a script or inside an image.

Evidence it's in place

View the page with scripts turned off. Whatever disappears may be invisible to crawlers that don't run them.

Machine-readable documentation

Structured data that says what each page is, a sitemap of every public page, and product docs written so a machine can pull out the facts.

Evidence it's in place

The structured data validates, and the sitemap matches the site.

Genuine mentions

Other people describing you, in places you don't control.

Evidence it's in place

Mentions you earned. Bought or manufactured ones do more harm than good.

Worked example

This site, layer by layer.

Own work

  • One description

    Every page describes us the same way: an AI-native product and venture studio based in Ahmedabad, India. We pair the name with Ahmedabad on purpose, because another company has a similar name.

  • Crawlable content

    Every page is plain HTML. The framework diagrams, including the one on this page, are text rather than images, so they read the same to people, screen readers and crawlers.

  • Machine-readable documentation

    Structured data describes the organisation and where each page sits in the site, a sitemap lists every public page, and our robots file lets search engines, AI search and AI assistants read all of it.

  • Genuine mentions

    The one layer we can't write ourselves. We publish work worth citing, like this library, and leave the rest to other people.

Common misreads

Where it goes wrong

  1. Misread

    Expecting citations

    Why This makes the description accurate. It can't guarantee a mention.

  2. Misread

    Writing for machines instead of people

    Why The same page serves both. Copy written only for crawlers reads badly to the buyers it's meant for.

  3. Misread

    A different description for every channel

    Why Five slightly different sentences leave the machine to average them.

Where this fits

In AI Creative Build, we design what people and machines both read about you: interfaces, docs and launch material.

AI Creative Build

In the Journal: Teardown: our old website

Published 24 September 2026. Graylemon original, from our third conviction: machine is the new audience.

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