#llmsmap.me

Independent technical audit

readinglist.live

readinglist.live

Overall AI readiness score

A combined result across all audit signals.

60of 100Average
AI readiness audit: 8/25/2026Public technical data

Overall AI readiness assessment

How ready readinglist.live is for AI systems

60/100

ReadingList.live (readinglist.live) received an AI-readiness score of 60/100 in an automated technical audit. llms.txt was accessible, llms-full.txt was accessible, and ai.txt was not found. The robots.txt analysis found 0 explicitly allowed and 0 blocked AI crawlers, with 0 declared sitemaps. Homepage markup completeness was 0%; no Schema.org types were detected and 0 OpenGraph tags were detected. Results reflect the public site response observed on 2026-08-25T00:04:45.976Z.

Audit context

llms.txt is accessible and contains 744 tokens. An expanded llms-full.txt is also available with 3,069 tokens, giving agents more direct context. No separate ai.txt policy was detected; it is optional, but can clarify training, retrieval, and attribution preferences.

robots.txt is available. 11 of 11 tracked AI bots are not blocked. Declared sitemaps: 0. No Schema.org type was detected on the homepage. 0 OpenGraph tags were found and markup completeness is 0%, leaving more entity interpretation to crawlers.

The Google Lighthouse measurement is still collecting. Once complete, performance, accessibility, technical quality, SEO, and experimental browser-agent signals will be added with a limited weight.

Confirmed strengths

  • Accessible llms.txt
  • Expanded llms-full.txt

Priority improvements

  1. 1Declare the current sitemap.xml in robots.txt.
  2. 2Add JSON-LD for the organisation, website, and core entities.
  3. 3Complete OpenGraph and canonical homepage metadata.
llms.txt tokens744
llms-full.txt tokens3,069
ai.txt
sitemap.xml

Google Lighthouse technical profile

The background queue is collecting mobile Performance, Accessibility, Best Practices, SEO, and experimental browser-agent signals.

Collecting data

AI readiness checks

Machine-readable files, crawler policy, discovery, and homepage markup.

llms.txt

File found and accessible

https://www.readinglist.live/llms.txt
llms-full.txt

Full version is available

https://www.readinglist.live/llms-full.txt
ai.txt

ai.txt file was not found

Sitemap in robots.txt

Sitemap is not declared in robots.txt

Schema.org (JSON-LD)

Schema.org markup was not found on the homepage

OpenGraph0%

OpenGraph tags were not found on the homepage

AI bot access

Based on robots.txt analysis

GPTBotNot mentioned
OAI-SearchBotNot mentioned
ChatGPT-UserNot mentioned
Google-ExtendedNot mentioned
ClaudeBotNot mentioned
Claude-SearchBotNot mentioned
Claude-UserNot mentioned
BytespiderNot mentioned
CCBotNot mentioned
PerplexityBotNot mentioned
Perplexity-UserNot mentioned
# ReadingList.live

> ReadingList.live turns articles you want to read into a private podcast feed. Save a URL, and our workers fetch the article, strip distractions, and convert it to audio for listening on your podcast player.

## Getting Started

- [Sign in](https://readinglist.live/sign_in)
- [View your profile](https://readinglist.live/u/[your-username]/profile)
- [Access your RSS feed](https://readinglist.live/u/[your-username]/rss)

## API Documentation

- [Simple API](#simple-api): Save articles with Bearer token authentication
- [MCP Server](#mcp-server): OAuth 2.0 endpoints for AI assistants and automation
- [OAuth Scopes](#oauth-scopes): Permission levels for API access

## Simple API

Save an article by sending a POST request to `/api/to_read`:

```
POST https://readinglist.live/api/to_read
Authorization: Bearer <your-token>
Content-Type: text/plain

https://example.com/article
```

Get your API token from your profile page at `https://readinglist.live/u/[your-username]/profile`

## MCP Server

ReadingList.live provides MCP (Model Context Protocol) endpoints for programmatic feed management.

### Authentication

Create an OAuth client on your profile page and obtain an access token:

```
POST https://readinglist.live/api/oauth/token
Content-Type: application/x-www-form-urlencoded

grant_type=client_credentials&client_id=<client-id>&client_secret=<client-secret>&scope=feed:read feed:write feed:search
```

### Endpoints

**Get Feed Info** - Returns feed metadata
```
GET https://readinglist.live/api/mcp/v1/feed?action=get_feed_info&feedId=<feed-id>
Authorization: Bearer <access-token>
```

**Add URL** - Add article to reading list (idempotent)
```
POST https://readinglist.live/api/mcp/v1/feed
Authorization: Bearer <access-token>
Content-Type: application/json

{"action": "add_url", "userId": <user-id>, "url": "https://example.com/article"}
```

**Search Feed** - Search articles with pagination
```
POST https://readinglist.live/api/mcp/v1/feed
Authorization: Bearer <access-token>
Content-Type: application/json

{"action": "search_feed", "userId": <user-id>, "query": "search terms", "limit": 20}
```

### OAuth Scopes

- `feed:read` - Read feed metadata and items
- `feed:write` - Add URLs to reading list
- `feed:search` - Search feed items
- `profile:read` - Read user profile information

## Documentation

- [Full Documentation](https://readinglist.live/llms-full.txt) - Complete API reference

## Optional

### Key Features

- Save articles via web, mobile app, or bookmarklet
- Auto-generate readable versions by stripping ads and navigation
- Convert articles to speech using Amazon Polly
- Organize with auto-generated tags
- Weekly episode summaries with LLM-generated descriptions
- Private RSS feed for podcast players
- Full-text search across saved articles

### Privacy

User-agent: *
Disallow: /

This site's content is not available for AI training. Articles saved by users are private and not publicly accessible.
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Added 8/25/2026
readinglist.live - AI readiness audit | llmsmap.me