A serverless Prompt Compiler built for Answer Engine Optimization (AEO) and GEO. Package structured brand directories, compile prompts for free LLMs, and render optimized crawls.
This compiled GEO Prompt Matrix bundles your brand context and site structure with rigid directives instructing the LLM to return optimized Markdown chunks in a structured, failsafe JSON schema.
Paste the full markdown block or JSON output you received from Claude, ChatGPT, or Gemini Free below. The parser will extract the optimized summaries and instantly compile your index preview templates.
# Loading system template...
llms.txt file is a standardized markdown manifest situated at the root directory of a website. It is designed to act as a structured reference directory specifically optimized for search models (LLMs) and Answer Engines (AEO). While a standard robots.txt directs search engines on what pages they should or shouldn't crawl, an llms.txt details what your pages actually contain, their direct semantic purpose, and guides the LLM to index the most contextually relevant resources. This reduces vector noise, prevents bad reasoning context, and dramatically improves the odds of your pages being cited as primary sources in AI-generated answers.
llms.txt (for discovery) and llms-full.txt (for vector indices and context retrieval) should be uploaded directly into your website's main root folder. They must be accessible at https://yourdomain.com/llms.txt and https://yourdomain.com/llms-full.txt respectively, alongside your robots.txt file. This location is standard and automatically queried by modern AI scrapers.
Generative Optimization hinges on how easily an LLM can parse and recall your facts. Our prompt structure forces the AI to eliminate corporate hyperbole (like "unique", "best-in-class") and convert it into direct, authoritative descriptions. By specifying a strict JSON schema, we enable the browser client-side code to read the structured response, match descriptions directly to their URL elements, and compile the final layout in real-time.
Keep your page intents descriptive yet concise. Instead of using abstract marketing slogans, specify the exact functional utility of a page. (e.g., instead of "Discover how we unleash digital possibilities", use "Overview of technical SEO services including canonical audits, schema configurations, and robots directory setups"). This clarity translates directly into higher query relevance scores in vector-search retrieval.
Deploy your llms.txt manifest, then test your site with our other diagnostic tools like the Robots.txt Generator or the XML Sitemap Suite.