outsurface

OutSurface Agent View creates a parallel, lightweight version of your entire website specifically optimized for AI agents and LLM-based automation tools.
Why? Modern websites are built for humans — heavy CSS, JavaScript, images, and visual complexity cost AI agents many tokens to parse, slow down navigation, and make it hard to identify actionable elements. OutSurface Agent View solves this.
Features:
<ul>
<li>Agent-optimized pages at <code>/agent-view/*</code> — same content, no visual overhead</li>
<li>WPBakery, Elementor & Gutenberg — all editor markup stripped, pure content only</li>
<li>Full navigation with submenus — mirrors your WordPress menus hierarchically</li>
<li>Actions prominently displayed — agents can see exactly what they can do on each page</li>
<li>WooCommerce support — Shop, Product (with variants), Cart, Checkout, My Account all agent-ready</li>
<li>Add-to-cart URLs — agents can add products to cart via direct GET links, no forms needed</li>
<li>llm.txt — full site content as plain text at <code>/llm.txt</code> following the llms.txt convention</li>
<li>data.json — complete structured site data at <code>/agent-view/data.json</code></li>
<li>Invisible discovery nav — every human page includes meta tags and HTTP headers so agents can find the agent view</li>
<li>OutSurface account — optional license connection to verify your installation</li>
<li>Debug mode — makes the agent nav visible for your own testing</li>
<li>Description box — tell agents what your site does and what they can accomplish</li>
<li>Low token cost — monospaced, structured, no decorative content</li>
</ul>

OutSurface Agent View

Creates an AI-agent-optimized view of your WordPress site at /agent-view/ — plain text, clear actions, minimal tokens, WooCommerce ready.

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.

OutSurface Agent View vs Markdown for Agents and Statistics