Ashutosh Raj

Founder, AgentReady · hello@agentready.it.com

I built AgentReady because I kept running into the same problem: AI agents that could reason well but couldn't reliably read the web. They'd fetch one page, miss JS-rendered content, hallucinate when the answer spanned multiple pages, and return zero citations. The web was becoming a substrate for AI discovery — but most websites weren't ready for it.

AgentReady is the infrastructure layer between agents and websites. Paste any public URL and get a hosted MCP server, spec-compliant llms.txt, and cited RAG answers — no code required. It makes any website queryable by Claude, ChatGPT, Cursor, Perplexity, and any other MCP-compatible agent.

AgentReady

AgentReady is an agent interface platform. It makes any website AI-agent native by providing a hosted MCP server, llms.txt generation, cited RAG answers, and agent analytics — all from a single URL paste.

The platform is built around a benchmark finding: on JavaScript-heavy sites (Notion, Figma, Webflow), AgentReady's ask_site achieves 76% fact coverage versus web_fetch's 56% — a 20 percentage point gap. Every ask_site answer includes source citations; web_fetch returns zero. The benchmark ran 60 test cases across 43 real-world sites, judged by GPT-4o on a per-fact basis.

The core thesis: as AI agents become the primary way people discover and query information on the web, websites need a structured interface layer — not just HTML pages. AgentReady builds and hosts that layer.

43+

Sites benchmarked

8

MCP tools

100%

Citation rate

2026

Founded

Writing & Research

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