Опис
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
Постављање
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
ЧПП
-
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?
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Yes! Go to Settings -> AgentMark and enable any public custom post type.
Прегледи
Нема рецензија за овај додатак.
Сарадници и градитељи
„AgentMark“ је софтвер отвореног кода. Следећи људи су допринели овом додатку.
Сарадници
Преведите „AgentMark“ на свој језик.
Заинтересовани сте за градњу?
Прегледајте код, проверите SVN складиште или се пријавите на белешку градње преко RSS-а.
Белешка о изменама
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.