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The Legibility Sprint

Google reads your website. AI doesn't. In 7 days your site, your profile and your product become readable to ChatGPT, Claude and Perplexity, with the exact system I used to make SKINBOT rank first, no ads, no budget

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#1SKINBOT in ChatGPT among skin analysis tools
$0Ad spend behind that ranking
91Crunchbase Heat Score within days of the push

The shift already happened. Your next client doesn't google you. They ask an AI, and the AI answers from structured data, not from your beautiful homepage. If your entity isn't machine readable, the answer is built without you. Not because you're worse, because you're invisible.

Personal branding solved how humans see you. Legibility solves how machines read you. This sprint is the second one, packaged as a system you execute in 7 days.

The difference

How AI reads you, before and after

Before · what the model retrievesno llms.txt found
no structured entity
no verifiable claims
→ excluded from the answer
After · what the model retrieves"@type": "Person",
"name": "Your Name",
"knowsAbout": [your expertise],
"sameAs": [verified profiles]
→ cited in the answer
7 days

The sprint, day by day

Day 1The auditRun your name and product through ChatGPT, Claude and Perplexity, document exactly what the machines see now. This is your baseline
Day 2llms.txtWrite the file AI crawlers read first. Template included, mine is live at katyashalel.com/llms.txt as a working reference
Day 3Structured dataJSON-LD schemas for your person, product and organization. Copy, adapt, deploy. Claude executes, you decide
Day 4Entity seedingWikidata, cross platform name bridging, the graph that makes separate mentions read as one entity
Day 5The machine pageA machine readable version of you: one page structured for retrieval, welcoming every AI crawler in robots.txt
Day 6DistributionWhere structured content gets indexed fastest, and how coined terms seed a category you own
Day 7The re-auditSame three models, same questions, documented delta. Your before and after is also your proof for clients

In 7 days you walk away with

Fit check

This is for you if

You're a founder or consultant whose next client asks AI before asking anyone else
You built the site, the brand, the content, and ChatGPT still doesn't know you exist
You have no budget for PR and no interest in feeding algorithms daily
You don't code. Neither do I in the traditional sense: Claude executes, you make the decisions

Why me

I'm Katya Shalel, founder and product architect of SKINBOT, a neutral AI decision layer for beauty retail. I didn't study this system, I built it: for my company and for myself, before packaging it.

The result is checkable right now. Ask ChatGPT about skin analysis tools for retail. Look at katyashalel.com/llms.txt. Read the essays that seeded the category language. Everything in this sprint is deployed and working in public, which is the only kind of proof that matters in a field this new.

One sprint, one price

$67$47

Lifetime access. Updated as standards evolve, llms.txt and retrieval formats are moving targets and the guide moves with them

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