Site Identity
Technical Endpoints
Health Index
Complete missing fields to improve
WebKernelAI Growth
Unlock result history, workspace tracking, and guided actions across all SEO and security tools.
The industry standard for making your site readable for AI Agents, LLMs, and web crawlers.
Complete missing fields to improve
Generate structured manifests following the official community H1 and H2 markdown pattern standards.
Crawl and extract page links, descriptions, contact emails, and sitemap references automatically from your URL.
Verify your manifest structure against AI-agent readability and discovery rules in real-time.
Get instantly copy-pasteable files ready for immediate deployment in your domain's root directory.
Limit context-window bloat by providing AI agents (GPT-4, Claude) with high-density reading summaries.
Map secondary resource paths (`/llms-full.txt`) for deeper documentation sets and programmatic API descriptions.
Submit your website URL or manually enter site identity data.
The generator compiles the markdown manifest adhering to LLM crawling guidelines.
Run the health validator to verify link reciprocals and structural tags.
Export the generated `llms.txt` file and place it in your site's root directory.
An llms.txt file is a simple, structured markdown file served at the root directory (`/llms.txt`) that provides LLMs and AI crawlers with a concise, high-density index of your site's structure.
Robots.txt tells crawlers which directories they are blocked from accessing, while llms.txt tells AI search engines and agents where the high-value reading material and docs live.
Yes, modern AI web agents (like OpenAI's GPTBot, Perplexity, and SearchGPT) read llms.txt files to quickly locate reference documents and APIs without crawling useless layout files.
The `/llms.txt` file acts as a brief overview index, whereas `/llms-full.txt` provides the complete, concatenated markdown contents of your site's documentation.
You must host it at the very root of your domain (e.g. `yourwebsite.com/llms.txt`) so AI agents can discover it automatically, similar to a robots.txt file.
WebKernelAI tools use high-fidelity crawlers and security engines to provide actionable data for developers, SEOs, and website owners.