odysseynewmedia

Odyssey LLMS is the definitive control panel for your website’s AI presence. It generates the critical files used by Large Language Models (like ChatGPT, Claude, and Gemini) to understand and cite your content.
For Beginners: Just activate it. A comprehensive and optimised <code>llms.txt</code> file is instantly generated. No configuration is needed.
For Power Users: Manage every aspect of your AI strategy. Track bot traffic with built-in analytics, generate JSONL datasets for fine-tuning, and clean up your content with CSS selectors.
<h3>Concepts Explained: Why do you need this?</h3>
<h4>1. What is <code>llms.txt</code>?</h4>
Think of <code>llms.txt</code> as a “Sitemap for AI”. While humans use HTML pages and Search Engines use XML sitemaps, AI agents look for an <code>llms.txt</code> file in your root directory. This file gives them a clean, prioritised list of links to crawl, ensuring they train on your best content and ignore the junk.
<h4>2. What is <code>llms-full.txt</code> (Markdown)?</h4>
This is an optional advanced feature (RAG-Ready). Instead of just providing links, <code>llms-full.txt</code> provides your actual website content converted into clean, lightweight Markdown format. 
* Why it’s useful: It allows AI agents to ingest your website’s knowledge immediately without needing to visit and scrape every single HTML page. This reduces server load and ensures the AI gets accurate data for “Retrieval Augmented Generation” (RAG). 
* ⚠️ WARNING regarding Virtual Mode Limits: When using Virtual Mode to generate this file, the item limit for the llms-full.txt file is securely capped at 50 by default. Manually increasing this limit beyond 50 in the ‘Tools’ settings will drastically increase server load and risks causing immediate 500/503 server crashes. Use this feature at your own risk. If you require more than 50 items in your llms-full.txt file, we recommend using Physical Mode instead.
<h4>3. What is <code>llms.jsonl</code> (Fine-Tuning)?</h4>
This file formats your content into prompt-completion pairs (JSON Lines). This is the standard format used to fine-tune models like GPT-4 or Llama 3 on your specific data.
New Features in 6.0:
<ul>
<li>JSONL Generator: Create a dataset ready for fine-tuning custom AI models.</li>
<li>Content Cleaning: Use CSS selectors (e.g., <code>.sidebar</code>, <code>.comments</code>) to strip unwanted elements from your Markdown and JSONL files.</li>
<li>Visual Analytics: Visualise exactly which AI bots (ChatGPT, Claude, Google AI, etc.) are accessing your files with a built-in dashboard widget and charts.</li>
<li>WooCommerce Integration: Automatically generates a structured “Products” section including Price, Stock, and SKU.</li>
</ul>
Key Features:
<ul>
<li>Clean Tabbed Interface: Organised into General Rules, Content Sourcing, Analytics, Robots.txt, Security, and Tools.</li>
<li>Granular Bot-Specific Rules: Set detailed <code>Allow</code> or <code>Disallow</code> rules for individual AI crawlers (<code>GPTBot</code>, <code>Google-Extended</code>, etc.).</li>
<li>“Block All by Default” Mode: Create a secure “whitelist” by blocking all crawlers by default and only allowing the bots you explicitly enable.</li>
<li>Settings Import & Export: Perfect for agencies. Easily back up, restore, and migrate your settings between sites with JSON import/export.</li>
<li>Advanced Scheduling: Regenerate your file on save, manually, or on a recurring schedule (Hourly, Daily, Weekly, Monthly).</li>
<li>Safety Validator: Prevents accidental blocking of all traffic in <code>robots.txt</code>.</li>
</ul>

Odyssey LLMS

The complete AI control panel for WordPress. Generate llms.txt, Markdown, and JSONL. Includes AI Analytics and Content Cleaning.

phalkmin

ParseLess serves your WordPress content as clean Markdown to AI crawlers (via User-Agent detection) and on manual <code>?format=md</code> requests. Same URL, same content, none of the theme chrome, navigation, widgets, or page-builder scaffolding that AI bots and CLI tools don’t need.
It also exposes <code>/llms.txt</code> for the emerging AI-indexing standard, so models know where to find your content.
<h4>Who is this for?</h4>
1. Developers using Claude Code, Cursor, Aider, or any CLI that feeds your own site content into an LLM.
If you’ve ever piped a blog post into Claude or ChatGPT for analysis, rewriting, or summarization, you’ve watched it burn through tokens parsing nav menus, footer markup, and CSS classes that have nothing to do with your content. A typical WordPress page measured live: ~19,800 tokens of HTML for ~975 tokens of actual content — a 20x reduction just by stripping the theme. Heavy page-builder sites (Elementor, Divi) routinely hit 100x or more.
That’s the difference between fitting a handful of pages in a context window and fitting dozens.
Just append <code>?format=md</code> to any post URL and pipe it straight into your tool of choice:
<pre><code>curl https://yoursite.com/my-post/?format=md | claude "summarize this"
</code></pre>
2. Site owners getting “high resource usage” warnings from their host because AI bots are hammering the site.
GPTBot, ClaudeBot, PerplexityBot, Google-Extended, and a dozen others crawl WordPress sites constantly. Each request renders your full theme, runs widget queries, loads page-builder assets, and ships hundreds of KB of HTML per page — most of which the bot discards before extracting the actual text.
ParseLess intercepts these crawls and serves a tiny Markdown payload instead. You keep the AEO/SEO benefit of being indexed by AI search, without paying the server cost of rendering your full theme for every bot hit.
Typical impact on AI bot traffic (measured on real WordPress pages):
<ul>
<li>95%+ less bandwidth per crawled page (typically 15–30x smaller; e.g. a 79 KB page → 4 KB. Heavy page-builder sites see 100x+)</li>
<li>~60–80% fewer database queries per request</li>
<li>~60% lower peak PHP memory per request</li>
<li>~50–80% faster Time To First Byte (measured 54% on a content-heavy page, 67% on a short one)</li>
<li>On a site with 500 posts crawled monthly by major AI bots, that’s roughly gigabytes → tens of megabytes of monthly bandwidth and a fraction of the cumulative PHP execution time</li>
</ul>
Numbers vary by theme and content. Heavier setups (Elementor, Divi, Avada) see the biggest savings; lightweight themes see less dramatic but still meaningful gains. The conversion is cached as a transient, so repeated bot hits cost almost nothing.
<h4>How it works</h4>
<ul>
<li>AI crawlers are detected by User-Agent and served Markdown automatically — no configuration required.</li>
<li>Humans, search engines, and unknown bots receive your normal HTML output. ParseLess never affects what real visitors see.</li>
<li>The <code>?format=md</code> query parameter works on any post URL for manual preview or CLI piping.</li>
<li><code>/llms.txt</code> is published at your site root with a list of available content for AI indexers.</li>
<li>Conversion happens once per post and is cached. Subsequent requests serve a single transient read.</li>
</ul>
<h4>Features</h4>
<ul>
<li>Automatic Markdown for known AI bots (GPTBot, ClaudeBot, PerplexityBot, OAI-SearchBot, CCBot, Google-Extended, Applebot-Extended, Bytespider, Meta-ExternalAgent, cohere-ai, and more)</li>
<li>Manual preview and CLI access via <code>?format=md</code> on any post URL</li>
<li><code>/llms.txt</code> endpoint for AI-indexing standards</li>
<li>Respects noindex flags from Yoast SEO, Rank Math, and Genesis</li>
<li>Skips private, draft, password-protected, and trashed posts</li>
<li>Works with all public post types (configurable)</li>
<li>Optional YAML frontmatter (title, URL, author, date, categories, tags, excerpt)</li>
<li>Transient-based caching with configurable TTL</li>
<li>Settings page at Tools → ParseLess for detection mode, bot list, cache TTL, post types, and llms.txt control</li>
<li>Per-post meta box with Markdown preview and copy-to-clipboard</li>
<li>Extensible via filters: <code>md4ai_bot_list</code>, <code>md4ai_supported_post_types</code>, <code>md4ai_markdown_output</code>, <code>md4ai_cache_ttl</code>, <code>md4ai_should_serve_markdown</code></li>
</ul>
<h3>Privacy and data collection</h3>
When logging is enabled (off by default), ParseLess records the following for 
each Markdown request:
<ul>
<li>Post ID, URL, and request timestamp</li>
<li>The full User-Agent header</li>
<li>A salted SHA-256 hash of the requester’s IP address (the raw IP is never stored)</li>
<li>Matched bot identifier, bytes served, and whether the response came from cache</li>
</ul>
IP hashes cannot be reversed from an email address, so the WordPress privacy 
exporter/eraser tools will report no personal data on demand.
Logs are pruned daily according to the configured retention window 
(7/30/90/365 days, default 30). Site owners can disable logging or click 
“Delete all logged requests” at any time from Tools → ParseLess.

ParseLess

Serve your posts as Markdown to AI crawlers and CLI tools — typically 95%+ less bandwidth, ~60–80% fewer DB queries, no theme bloat.

Odyssey LLMS vs ParseLess