All Topics
All Topics
Technology
Technology
Design
Design
Programming
Programming
Science
Science
News
News
Gaming
Gaming
Entertainment
Entertainment
Business
Business
Finance
Finance
Sports
Sports
Health
Health
Food
Food
Travel
Travel
Art
Art
Music
Music
Books
Books
Education
Education
Politics
Politics
Personal
Personal
No algorithm. No AI slop. No ads. Just RSS. Pro-human. Indie writers. Real journalism. Open web. Chronological. Hand toasted.

IndexedAI: A Tool That Scores Websites on AI Agent Readiness

By

Guido Dalle Rive

23d ago· 1 min readenProduct
Bagel score 38 of 100
38/100
Stale
Bagelometer

More crust than filling. Mostly air.

Score38Typepress releaseSentimentpositive

Summary

IndexedAI is a tool that evaluates how "agent-ready" a website is by scoring it across five axes (discoverability, parsability, token efficiency, capability signaling, access control). It provides a 0-100 score, identifies issues, and offers deployable llms.txt files to help websites become machine-readable for AI agents. Most sites score below 50, and fixes take about 10 minutes.

Key quotes

· 4 pulled
I built IndexedAI because I think the web is about to get a new type of visitor: AI agents.
Today, most websites are designed for humans, but agents still have to guess from messy pages, hidden prices, vague CTAs, and UI flows that were never built for them.
IndexedAI is my attempt to create an 'agent-ready' layer for websites: structured data, final pricing, supported actions, risk labels, and machine-readable metadata that agents can understand and trust.
Most sites score below 50. Fixing it takes 10 minutes.
Snippet from the RSS feed
AI agents don't read sites like humans. They need structure, low noise, clear signals. IndexedAI gives you: → Agent Readiness Score (0–100) across 5 axes: discoverability, parsability, token efficiency, capability signaling, access control → Breakdown of

You might also wanna read