Durani AX™ is a revolutionary service that optimizes your website for AI agents and Large Language Models (LLMs). Just as SEO optimized websites for search engines, AX optimizes them for AI assistants.
In the AI-first era, users increasingly get information from ChatGPT, Claude, Perplexity, Google Gemini, and Microsoft Copilot. These AI agents need structured, machine-readable information to accurately represent your brand, services, and products.
Our AX service implements the complete stack of AI optimization technologies: llms.txt (the emerging standard for AI agent information), JSON-LD structured data with Schema.org vocabulary, OpenAPI specifications, semantic HTML markup, and AI discovery protocols.
The result is a website that AI agents can perfectly understand, accurately cite, and confidently recommend to their users.

llms.txt
The emerging standard file (llms.txt) that provides structured information about your organization specifically for AI agents and LLMs.

Schema.org
The collaborative vocabulary for structured data on the internet, enabling rich snippets and AI understanding of your content.

OpenAPI
OpenAPI Specification (formerly Swagger) for documenting your APIs in a machine-readable format that AI agents can discover and use.

JSON-LD
JSON for Linking Data - the preferred format for embedding structured data in HTML, understood by search engines and AI systems.

OpenAI
Optimization for GPTBot crawler and ChatGPT plugins, ensuring your content is accurately represented in OpenAI's ecosystem.

Anthropic
Preparation for Claude's web crawling and citation system, implementing best practices for Anthropic's AI assistant.

Perplexity
Optimization for Perplexity's AI search engine, ensuring accurate citations and source attribution.

LangChain
Implementation of patterns compatible with LangChain and other AI orchestration frameworks for automated workflows.

Next.js
Modern Next.js implementation with server-side rendering, metadata API, and structured data generation.

Vercel
Deployment optimization on Vercel with edge functions, ISR, and optimal caching for AI crawler performance.

React
React-based semantic component architecture designed for machine readability and accessibility.

TypeScript
Type-safe implementations ensuring consistent and reliable structured data generation.