Descriere
The Problem:
WordPress outputs HTML that’s difficult for AI systems to parse accurately. Important content gets lost in markup, scripts, and styling.
The Solution:
AgentMark provides clean Markdown versions of your posts and pages through simple .md endpoints, plus an industry-standard llms.txt file that helps AI agents discover your best content.
Use Cases
- AI Search Engines: Help tools like Perplexity, Claude, and ChatGPT cite your content accurately
- RAG Systems: Enable companies to build knowledge bases from your public content
- Documentation: Provide developers with clean, parseable API docs
- Content Syndication: Share articles in a universal, lightweight format
- Knowledge Graphs: Help semantic web tools understand your site structure
Key Features
- Zero Configuration: Works out of the box with sensible defaults
- Markdown Endpoints: Access any post/page as Markdown by adding
.mdto the URL - llms.txt Standard: Auto-generates discovery file for AI agents
- YAML Front Matter: Rich metadata for better AI understanding
- Flexible: Control which post types are exposed
- Performance: Built-in caching and rate limiting
- Privacy-Focused: Per-post control over AI access
- Standards-Compliant: Follows emerging llms.txt specification
Business Value
- Future-Proof: Position your content for the AI-driven web
- Zero Cost: No API fees or external dependencies
- SEO Boost: Alternate content formats can improve discoverability
- Competitive Edge: Early adoption of AI-friendly formats
- Analytics: Track which content AI agents prefer
Instalare
Automatic Installation
- Log into your WordPress admin panel
- Navigate to Plugins -> Add New
- Search for „AgentMark”
- Click „Install Now” and then „Activate”
- Go to Settings -> AgentMark to configure
Manual Installation
- Download the plugin ZIP file
- Upload to
/wp-content/plugins/and extract - Activate through the Plugins menu
- Go to Settings -> Permalinks and click „Save Changes” (flush rewrite rules)
- Configure at Settings -> AgentMark
After Installation
- Visit
yoursite.com/llms.txtto see your AI-ready content index - Add
.mdto any post URL to see the Markdown version - Check Settings -> AgentMark to customize behavior
Întrebări frecvente
-
How do I access the Markdown version of a post?
-
Simply append
.mdto the end of any public post or page URL.
Example:yoursite.com/my-post/becomesyoursite.com/my-post.md -
What is llms.txt?
-
It’s an emerging standard file format (similar to robots.txt) that helps AI agents discover high-quality, machine-readable content on your website. It’s located at
yoursite.com/llms.txt. -
Will this affect my SEO?
-
No. Markdown endpoints are marked as alternate versions, not duplicate content. They can actually improve your site’s discoverability.
-
Can I exclude certain posts from AI agents?
-
Yes! Each post has an AgentMark meta box where you can disable the .md endpoint or exclude it from llms.txt.
-
Does this work with Gutenberg blocks?
-
Yes. The plugin processes the final rendered HTML, so all block types are supported.
-
Will this slow down my site?
-
No. Markdown conversion is cached, and rate limiting prevents bot overload. Regular visitors see no impact.
-
Can I customize the Markdown output?
-
Currently, the conversion is automatic. Custom templates are planned for a future version.
-
No. Only public, published posts of enabled post types are accessible. Draft and private posts are never exposed.
-
How do I track AI agent usage?
-
The built-in analytics show basic usage stats at Settings -> AgentMark Stats.
-
Can I use this with custom post types?
-
Yes! Go to Settings -> AgentMark and enable any public custom post type.
Recenzii
Nu există nicio verificare pentru acest modul.
Contributori și dezvoltatori
„AgentMark” este un software open-source. La acest modul au contribuit următoarele persoane.
Contributori
Tradu „AgentMark” în limba ta.
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Istoric modificări
1.0.0
- Initial release.
- Added Markdown endpoints with caching.
- Integrated League HTML-to-Markdown for superior conversion.
- Added llms.txt discovery standard.
- Added analytics and rate limiting.
- Added per-post controls.