Overall AI readiness score
A combined result across all audit signals.
Excellent
AI readiness audit: 7/21/2026Public technical data
Overall AI readiness assessment
How ready listennotes.com is for AI systems
Listen Notes was independently audited by llmsmap. listennotes.com currently scores 92/100 for AI readiness. The result combines AI-specific files, crawler policy, sitemap discovery, structured homepage data, and—when available—the mobile Google Lighthouse technical profile.
Audit context
llms.txt is accessible and contains 3,093 tokens. An expanded llms-full.txt is also available with 7,713 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. 10 of 11 tracked AI bots are not blocked, while 1 receive a prohibition. Declared sitemaps: 1. The homepage exposes Schema.org types WebSite, Organization; 6 OpenGraph tags were found and markup completeness is 90%.
The mobile Lighthouse profile adds Performance 89/100, Accessibility 93/100, Best Practices 100/100, SEO 100/100, and experimental Agentic Browsing 100/100. These signals have a limited weight: they complement rather than replace llms.txt, robots.txt, and structured-data checks.
Confirmed strengths
- Accessible llms.txt
- Expanded llms-full.txt
- 1 sitemap declaration
- Schema.org: WebSite, Organization
- Complete social metadata
- Strong Google agentic signals
Priority improvements
- 1Review the 1 explicit AI-bot blocks and keep only intentional restrictions.
- 2Reduce mobile rendering delay and main-thread work.
llms.txt tokens3,093
llms-full.txt tokens7,713
ai.txt
sitemap.xml
Google Lighthouse technical profile
A mobile Lighthouse measurement. Google’s experimental Agentic Browsing category is explained separately and does not replace the broader llmsmap AI-readiness score.
89
Performance
93
Accessibility
100
Best Practices
100
Technical SEO
100
Agentic Browsing
What these results mean
Mobile performance is 89/100, with the largest visible content block appearing in 3.2 s and the browser main thread blocked for 50 ms. Layout shift was 0.013. The main thread is where the browser runs JavaScript, calculates layout, and paints the page; long work there delays both user input and browser-agent actions.
Accessibility scored 93/100, Best Practices 100/100, and technical SEO 100/100. The experimental Agentic Browsing category scored 100/100. It measures signals Google currently tests for software agents and is shown separately from the llmsmap AI-readiness score.
1
Reduce code that loads without helping the page
Remove unused CSS and JavaScript, load heavy widgets on demand, and limit third-party scripts. Less code means less parsing and background work on the device.
2
Optimise images and their loading order
Serve correctly sized modern formats, prioritise the primary visual, and lazy-load content below the first viewport.
3
Reduce network delay
Improve server response time, remove unnecessary redirects and repeat downloads, and use compression, caching, and selective preconnect hints.
4
Make controls unambiguous
Give buttons and links accessible names, associate labels with fields, and use ordered headings and semantic regions. The same structure helps screen readers and software agents understand actions.
FCP2.6 s
First content
LCP3.2 s
Main content
CLS0.013
Layout stability
TBT50 ms
Blocking time
SI2.6 s
Visual speed
Metric glossary
- FCP · First content
- When the first text or image appeared on screen.
- LCP · Main content
- When the largest visible element in the first viewport rendered.
- CLS · Layout stability
- How much content shifted unexpectedly while loading; lower is better.
- TBT · Blocking time
- How long the browser main thread could not respond quickly to input.
- SI · Visual speed
- How quickly the visible viewport filled with content.
7/21/2026Lighthouse 13.4.0Mobile profile
AI readiness checks
Machine-readable files, crawler policy, discovery, and homepage markup.
ai.txt
ai.txt file was not found
Sitemap in robots.txt1
1 sitemap found
Schema.org (JSON-LD)
Types: WebSite, Organization
OpenGraph90%
6 OG tags found
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
CCBotBlocked
PerplexityBotNot mentioned
Perplexity-UserNot mentioned
Sitemaps
Declared discovery routes for crawlers and agents.
OpenGraph tags
Social preview metadata found on the homepage.
og:typeproductog:titleListen Notes: The best podcast search engineog:urlhttps://www.listennotes.com/og:site_nameListen Notesog:descriptionThe most comprehensive podcast database online. Discover best podcasts. Search podcast show notes and audio transcripts by people, places, or topics.Schema.org markup
Structured entities and properties exposed on the homepage.
WebSiteOrganization
nameListen Notesurlhttps://www.listennotes.com/imagehttps://production.listennotes.com/web/image/1e96161023e04a95bd2f754c907587fc.pngsameAshttps://www.facebook.com/listennotes/, https://www.linkedin.com/company/listen-notes, https://angel.co/company/listennotes, https://x.com/listennotesalternateNameThe best podcast search engine and podcast databasepotentialAction{"@type":"SearchAction","target":"https://www.listennotes.com/search/?q={search_term_string}","query-input":"required nalogohttps://production.listennotes.com/web/image/776f23644387485291977e49dea90b71.pngfoundingDate2017# Listen Notes
> Listen Notes is a podcast search engine, podcast api, podcast database, and set of podcast data products for listeners, podcasters, researchers, developers, PR teams, marketers, journalists, educators, and AI builders.
Listen Notes helps people search, discover, curate, monitor, and analyze publicly accessible podcasts and episodes. The free website is best understood as "Google for podcasts": search across public podcasts and episodes, filter results, inspect podcast metadata, create clips, save individual episodes into Listen Later playlists, and use discovery tools such as Best Podcasts, Hot Podcasts, Similar Podcasts Explorer, Real-Time, Curated Podcasts, and Podcast Classifieds.
Listen Notes also provides commercial podcast data products:
- Premium Membership: advanced website features for PR, marketing, academic research, media monitoring, outreach, and serious podcast discovery. A short 2-day pass is available for one-time research jobs, with no long-term subscription required.
- Listen Alerts: podcast mention monitoring for keywords, brands, people, topics, and competitors, with notifications by email, RSS, Zapier, Slack, Trello, Mailchimp, Buffer, Airtable, Asana, Jira, and other tools.
- Podcast API: the Listen Notes Podcast API, serving the podcast industry since 2017 and powering 13,000+ apps and websites. API-specific agent documentation is at https://www.podcastapi.com/llms-full.txt.
- Podcast Datasets: self-service CSV exports and full database dumps. Batch exports can be purchased by keyword, category, playlist, or iTunes/Apple Podcasts IDs. Full database dumps are delivered as large SQLite database files and can include all podcasts and optionally episodes, with one-time dumps or periodic updates.
Listen Notes actively curates for genuine human-created podcasts. Automated systems and human moderators review submissions and database quality so the database does not become filled with AI slop, fake podcasts, spam, deleted feeds, test feeds, or non-audio RSS feeds.
Customer support: hello@listennotes.com. This email routes directly to founder and CEO Wenbin Fang.
## Core Website
- [Podcast Search Engine](https://www.listennotes.com/): Search public podcasts and episodes by people, places, topics, keywords, titles, descriptions, authors, and audio content.
- [Podcast and episode pages](https://www.listennotes.com/): Public episode transcripts are available in the initial HTML at `#transcript` when present. Transcript timestamps may include `data-start` seconds. Entity chips expose `data-entity-name`, `data-entity-type`, and optional `data-wikipedia-url`.
- [About and FAQ](https://www.listennotes.com/about/#faq1): Company background, why Listen Notes exists, product direction, and common questions.
- [Podcast Discovery Guide](https://www.listennotes.help/article/4-listen-notes-website-podcast-discovery): How to use Listen Notes search, playlists, and discovery tools.
- [Listen Score](https://www.listennotes.com/listen-score/): A 0-100 estimated popularity score for a podcast relative to other public RSS-based podcasts.
- [Podcast Stats](https://www.listennotes.com/podcast-stats/): Current podcast counts, episode counts, languages, countries, hosting stats, and other podcast industry statistics derived from the Listen Notes database.
- [Business Products](https://www.listennotes.com/business/): Overview of Premium Membership, Listen Alerts, Podcast API, Podcast Datasets, and business use cases.
- [Data Quality](https://www.listennotes.help/article/105-high-quality-podcast-database-from-listen-notes): How Listen Notes keeps podcast data fresh and filters low-quality or AI-generated junk.
- [Submit a Podcast](https://www.listennotes.com/submit/): Podcasters can submit Apple Podcasts URLs or RSS URLs for review.
## Account Settings
Signed-in users manage account settings at https://www.listennotes.com/settings/.
- [Profile settings](https://www.listennotes.com/settings/): Change public profile details such as username, avatar, bio, name, and social/profile links.
- [Email settings](https://www.listennotes.com/settings/#email): Change the account email address.
- [Passkey settings](https://www.listennotes.com/settings/#passkey): Add and manage passkeys, then sign in with a passkey instead of an email login link.
- [Privacy settings](https://www.listennotes.com/settings/#privacy): Adjust privacy preferences, including hiding a profile from search engines.
- [Billing settings](https://www.listennotes.com/settings/#billing): Change billing address and billing email for Listen Notes commercial products.
- [Account settings](https://www.listennotes.com/settings/#account): Delete the entire Listen Notes account.
## Free Podcast Tools
- [Listen Later](https://www.listennotes.com/listen/): Curate individual episodes from different podcasts into playlists. Each playlist has an RSS feed that can be added to podcast player apps.
- [Listen Clips](https://www.listennotes.com/podcast-clips/): Create, share, embed, and download podcast clips for free.
- [Similar Podcasts Explorer](https://www.listennotes.com/similar-podcasts-explorer/): Pick podcasts and find similar shows.
- [Best Podcasts](https://www.listennotes.com/best-podcasts/): Podcasts recommended by Listen Notes.
- [Hot Podcasts](https://www.listennotes.com/hot-podcasts/): Shows popular today based on Listen Notes activity.
- [Podcast Real-Time](https://www.listennotes.com/podcast-realtime/): Podcast episodes being listened to via Listen Notes right now.
- [Curated Podcasts](https://www.listennotes.com/curated-podcasts/): Curated lists of podcasts from online resources.
- [Featured Playlists](https://www.listennotes.com/podcast-playlists/): Playlists created by the Listen Notes community.
- [Podcast Classifieds](https://www.listennotes.com/podcast-classifieds/): Find sponsors, guests, co-hosts, and cross-promotion opportunities.
## Commercial Products
- [Premium Membership](https://www.listennotes.com/premium/): Super Search, more search results, advanced filters, RSS access, ad removal, team features, and research workflows.
- [Listen Alerts](https://www.listennotes.com/podcast-alerts/): Monitor podcast mentions 24/7 for brands, people, topics, competitors, and keywords.
- [Podcast API](https://www.listennotes.com/api/): Search and directory API for podcasts and episodes.
- [Podcast API llms-full.txt](https://www.podcastapi.com/llms-full.txt): Full API-focused documentation for agents.
- [Podcast Datasets](https://www.listennotes.com/podcast-datasets/): Buy podcast metadata exports as CSV or SQLite.
- [Podcast Database Dumps](https://www.listennotes.com/podcast-datasets/solutions/): Full podcast database dumps with optional episode data and periodic updates.
## Podcast API Common Workflows
The [Podcast API Tutorials](https://www.listennotes.com/api/tutorials/) page answers common jobs-to-be-done for podcast app builders. Useful implementation shortcuts:
- Test without an API key by using the mock API server at `https://listen-api-test.listennotes.com/api/v2` or the API docs test mode at `https://www.listennotes.com/podcast-api/docs/?test=1`. Official SDKs use the mock server when no `api_key` is set. Mock responses are fake, hardcoded, and parameter-insensitive.
- Get one podcast and its episodes with `GET /podcasts/{id}`. The response includes up to 10 episodes; use `next_episode_pub_date` for pagination and `sort=recent_first` or `sort=oldest_first` for episode ordering.
- Get latest episodes for many podcasts with `POST /podcasts` and `show_latest_episodes=1`. Batch lookup accepts up to 10 podcast ids, RSS URLs, Apple Podcasts/iTunes ids, or Spotify ids.
- Build subscriptions by storing each user's last seen `pub_date_ms`. Use `POST /podcasts` to compare `latest_pub_date_ms`, then call `GET /podcasts/{id}` only for podcasts that actually have new episodes.
- Implement OPML import by extracting RSS URLs and calling `POST /podcasts` with up to 10 `rsses` at a time. OPML export is generated from podcast names and RSS URLs returned by the API.
- Search within specific podcasts with `GET /search` and `ocid`; `ocid` is a comma-delimited list of up to 5 podcast ids.
- Search podcast names more precisely with `GET /search` plus `only_in=title,author`, quoted search terms for verbatim matching, or `GET /typeahead?show_podcasts=1` for podcast suggestions.
- Use search helper endpoints for product UX: `GET /trending_searches`, `GET /typeahead`, `GET /spellcheck`, `GET /related_searches`, and `GET /search_episode_titles`.
- Build episode playlists either by storing episode ids and batch-fetching with `POST /episodes`, or by using Listen Later as a headless CMS and reading playlists with `GET /playlists/{id}`.
- For human curator workflows, have curators handpick podcasts or episodes into Listen Later playlists on ListenNotes.com, optionally with notes, then have code fetch the structured playlist via `GET /playlists/{id}`.
- Get podcast, episode, and playlist ids from API response fields or from the "Use API to fetch this..." link on Listen Notes podcast, episode, and playlist pages.
- Get sub-genres with `GET /genres`; cache the response and use `parent_id` for hierarchy. Use `top_level_only=1` when only parent genres are needed.
- Get popular podcasts by country or category with `GET /best_podcasts` and `sort=listen_score`.
- Get transcripts with `GET /episodes/{id}?show_transcript=1` when available on PRO/ENTERPRISE plans. Because fewer than 1% of episodes have transcripts, large transcript workflows usually fetch the episode audio URL from the `audio` field and run a speech-to-text service separately.
- Create clips by fetching an episode audio URL from the `audio` field, downloading the audio, and cutting with a tool such as FFmpeg. Listen Notes also provides a free website clipping tool.
- Embed a prebuilt player by appending `embed/` to an episode or podcast `listennotes_url` and placing that URL in an iframe.
- Track quota with the `X-ListenAPI-Usage` response header. `HEAD` requests can read usage-related headers without counting against API usage.
- Use multiple API keys by creating multiple apps in the API Dashboard, for example separate dev, staging, and production apps.
- Configure webhooks in the API Dashboard "WEBHOOKS" tab for supported Podcaster API endpoints such as `POST /podcasts/submit` and `DELETE /podcasts/{id}`.
## Developer and Data Links
- [Podcast API Docs](https://www.listennotes.com/api/docs/)
- [OpenAPI YAML](https://listen-api.listennotes.com/api/v2/openapi.yaml)
- [OpenAPI Markdown](https://www.listennotes.com/api/docs/openapi.md)
- [Podcast API Tutorials](https://www.listennotes.com/api/tutorials/)
- [podcastapi/skills](https://github.com/podcastapi/skills): Installable Agent Skills for coding agents that build with PodcastAPI.com. Use the Skills CLI with `npx skills add PodcastAPI/skills`, or install the `podcast-api` skill in Codex, Claude Code, Cursor, or another compatible agent. The skill helps agents choose the right endpoint, keep `LISTEN_API_KEY` server-side, implement pagination and error handling, test against the mock server, and answer API or billing questions from authoritative sources.
- [Podcast API JavaScript SDK](https://github.com/ListenNotes/podcast-api-js)
- [Podcast API Python SDK](https://github.com/ListenNotes/podcast-api-python)
- [Podcast API Go SDK](https://github.com/ListenNotes/podcast-api-go)
- [Podcast API Java SDK](https://github.com/ListenNotes/podcast-api-java)
- [Podcast API Kotlin SDK](https://github.com/ListenNotes/podcast-api-kotlin)
- [Podcast API .NET SDK](https://github.com/ListenNotes/podcast-api-dotnet)
- [Podcast API Swift SDK](https://github.com/ListenNotes/podcast-api-swift)
- [Podcast API Rust SDK](https://github.com/ListenNotes/podcast-api-rust)
- [NotebookLM Detector](https://github.com/ListenNotes/notebooklm-detector): Open-source tool for detecting NotebookLM-generated fake podcasts.
- [AI-generated fake podcasts dataset](https://www.kaggle.com/datasets/listennotes/ai-generated-fake-podcasts-spams): Example dataset of AI-generated fake podcast spam.
## Full Agent Brief
- [llms-full.txt](https://www.listennotes.com/llms-full.txt): A longer self-contained overview of Listen Notes products, use cases, data quality practices, and product-selection guidance for AI agents.
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Added 7/19/2026