Fran Barbero

The AI era has a problem: ChatGPT, Claude, and Perplexity are making up facts about your brand.
They crawl your raw HTML — a format built for humans — and hallucinate the gaps. Traditional SEO 
cannot fix this. A static sitemap cannot fix this. LLM Override fixes this.
LLM Override is a Machine-to-Machine (M2M) interception engine for WordPress. It speaks the 
language AI crawlers actually understand: clean, structured Markdown with semantic context — served 
in real time, directly from your site, without modifying a single page.
<h3>How AI systems read your content</h3>
Most AI tools for WordPress generate a list of URLs. That tells an AI crawler where your content 
is. LLM Override tells AI crawlers what your content means — making your brand accurately 
represented across AI-powered search engines.
When a bot visits your page, LLM Override intercepts the request before WordPress renders any HTML, 
and responds with a structured Markdown payload containing:
<ul>
<li>Your content, cleaned of scripts, ads, and UI noise</li>
<li>A YAML frontmatter block with your canonical title, URL, and last-updated timestamp</li>
<li>Your Site Manifest — verifiable organization facts included in your /llms.txt</li>
</ul>
This is Generative Engine Optimization (GEO): making your content accessible and accurately represented to AI systems.
<h3>How it works</h3>
<ol>
<li>LLM Override adds a <code><link rel="alternate" type="text/markdown"></code> tag into your page <code><head></code>.</li>
<li>An AI crawler discovers this link and follows it — that’s the standard Content Negotiation protocol.</li>
<li>It appends <code>?view=raw</code> to your URL and sends the request.</li>
<li>LLM Override intercepts at the WordPress routing layer — no HTML is rendered, no theme loads.</li>
<li>The crawler receives clean, semantic Markdown. Accurate content. No hallucinations.</li>
</ol>
Your human visitors never see any of this. Their experience is unchanged.
<h3>Core Features (Free)</h3>
M2M Interception Engine 
✅ Intercepts AI bot requests via <code>?view=raw</code> — works on any page, any post type 
✅ Converts HTML to clean Markdown using <code>league/html-to-markdown</code> 
✅ Strips <code><script></code>, <code><style></code>, <code><iframe></code>, and empty elements before conversion 
✅ Disables page caching (WP Rocket, LiteSpeed, W3TC, Cloudflare) for M2M requests to guarantee fresh content 
✅ Adds <code>X-Robots-Tag: noindex</code> to Markdown responses to prevent duplicate content flags 
✅ Adds <code>X-Content-Processing</code> transparency header declaring conversion method and source 
✅ Adds YAML frontmatter: title, canonical URL, last modified date, plugin version
Content Rules 
✅ Site Manifest — provide verifiable organization facts in your /llms.txt site manifest
llms.txt Standard Compliance 
✅ Dynamic <code>/llms.txt</code> endpoint — always current, zero static files, works on any hosting 
✅ Extended <code>/llms-full.txt</code> endpoint — includes content snippets for deeper AI context 
✅ Semantic Blockquote — select a global context page via UI to auto-generate the site manifest 
✅ Link Grouping — automatically categorizes links by post type (Pages, Optional, etc.) per llmstxt.org specs 
✅ Both endpoints automatically respect <code>noindex</code> rules from Yoast SEO, Rank Math, SEOPress, and AIOSEO 
✅ Announces <code>/llms.txt</code> in your <code>robots.txt</code> for passive bot discovery 
✅ <code><link rel="alternate" type="text/markdown"></code> auto-injected into every page <code><head></code>
Precision Control 
✅ Native WordPress metabox on every post/page: exclude from AI manifests or override the M2M payload manually 
✅ “View as AI” button in the WordPress Admin Bar: see exactly what any AI bot receives from any page
Shadow Analytics Lite 
✅ Tracks global M2M interception hits with a simple counter in your dashboard 
✅ GDPR-compliant: IP addresses are hashed daily, never stored in plain text 
✅ Detects 58 known AI bots across 4 categories (Training, Query, Discovery, Scraping)
Enterprise Sanitization 
✅ Strips Unicode corruption before delivery: BOM markers, Zero-Width Spaces, Non-Breaking Spaces, Soft Hyphens — the exact characters that cause parser errors in ChatGPT and Claude 
✅ Transient-based caching (12-hour TTL) for endpoint performance — with one-click AJAX flush
Developer API 
✅ 14 documented action/filter hooks for extending behavior without modifying plugin files 
✅ Clean OOP architecture with full Composer autoloading
<h3>Built to WordPress standards</h3>
LLM Override is developed following strict WordPress coding standards. Every function prefixed, 
every output escaped, every database query prepared, every nonce verified. No direct filesystem 
operations. No raw SQL injection. No short PHP tags.
The plugin passes the official WordPress Plugin Check tool with zero errors and zero warnings.
<h3>LLM Override Pro — Industrial-scale GEO</h3>
The free version covers the complete core M2M engine. Large sites and agencies need scale.
Pro unlocks: 
* 🤖 AI Copilot — per-post AI-generated Markdown with custom personas (GPT, Claude, DeepSeek, OpenRouter via BYOK) 
* ⚙️ Batch Accelerator — compile your entire site in the background via Action Scheduler, no timeouts 
* 📊 Full GEO Analytics — granular telemetry: which bots, which pages, which entities were injected 
* 🔬 Autopilot llms.txt — AI-drafted manifesto grounded in your actual content 
* 🏢 Agency MCP Server — expose a full Model Context Protocol endpoint for external agent orchestration
<a href="https://llmoverride.com" rel="nofollow ugc">Explore Pro features →</a>
<h3>GEO Compliance</h3>
LLM Override follows the principle of Content Faithfulness: everything served to 
AI bots is a faithful representation of your visible web content, optimized for 
machine consumption but never altered in substance.
<ul>
<li>Content is converted from HTML to Markdown without semantic changes</li>
<li>No content is added or removed from individual page responses</li>
<li>Structured data (JSON-LD) is extracted directly from visible page content</li>
<li>Full transparency via X-Content-Processing HTTP headers</li>
<li>Content Faithfulness Score tracks parity between HTML and Markdown outputs</li>
</ul>

LLM Override

Make your content accessible and accurate for AI systems. The compliance-first GEO optimization toolkit for WordPress.

chancerylaneproject

Markdown for Agents and Statistics converts your WordPress content to Markdown and serves it 
to AI agents and language model tools that request it via HTTP content negotiation 
(<code>Accept: text/markdown</code>).
The Chancery Lane Project is a charity that helps organisations reduce emissions using the power of legal documents and processes. We’ve published this plugin as we believe that making content more legible for AI Agents makes a meaningful difference to their energy usage – not only by reducing the amount of tokens required (by up to 90% over HTML) to consume the content, but also minimising the server resources required to render, process and display pages at source.
How it works:
<ol>
<li>Posts and taxonomy archive pages are converted to Markdown and saved as static 
files on disk inside <code>wp-content/uploads/</code>.</li>
<li>When a visitor (or AI agent) requests a page with <code>Accept: text/markdown</code> in 
the HTTP headers, WordPress serves the pre-generated <code>.md</code> file directly — 
no page render required.</li>
<li>A <code><link rel="alternate" type="text/markdown"></code> tag is added to each page’s 
 so agents can discover Markdown versions automatically.</li>
</ol>
Features:
<ul>
<li>Content negotiation (<code>Accept: text/markdown</code>, <code>?output_format=md</code>, or known AI User-Agents)</li>
<li>Taxonomy archive support — category, tag, and custom taxonomy term pages served as Markdown post listings</li>
<li>Automatic Markdown generation on post save; taxonomy archives auto-update when any post in the term changes</li>
<li>AJAX bulk generation with live progress counter — no page timeouts on large sites</li>
<li>Per-post-type field configuration — choose which meta/ACF fields go in frontmatter or body</li>
<li>ACF support with dot notation for nested group fields (e.g. <code>group.subfield</code>)</li>
<li>Content fields option — use ACF fields as the body content instead of post_content</li>
<li>Manifest generation with content hashes and change tracking per post type</li>
<li>Incremental export — only re-export changed documents (<code>--incremental</code>)</li>
<li>Delta file (<code>changes.json</code>) for RAG system sync</li>
<li>Access statistics — logs AI agent requests with a dedicated stats admin page</li>
<li>Optional frontmatter fields — hierarchy (parent/ancestors/children IDs), author display name, root-relative featured image paths</li>
<li>Topics section — appends a <code>## Topics</code> section with linked taxonomy terms to the Markdown body</li>
<li>Export preview — preview generated Markdown inline in the post editor without writing to disk</li>
<li>WP-CLI commands: <code>generate</code>, <code>generate-taxonomies</code>, <code>prune-stats</code>, <code>status</code>, <code>delete</code></li>
<li>Fully unit-tested</li>
</ul>

Markdown for Agents and Statistics

Serve pre-generated Markdown files to AI agents via HTTP content negotiation.

LLM Override vs Markdown for Agents and Statistics