Track what LLMs say before users choose your developer tool.
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Updated
Apr 23, 2026 - Python
Track what LLMs say before users choose your developer tool.
Claude Skill for Generative Engine Optimization and agent readiness. Get cited by ChatGPT, Perplexity, and Google AI Overviews. Expose MCP, llms.txt, and OAuth to AI agents.
Build, retrofit, and score agent-native CLIs. An Agent Skill with a 12-step workflow, an 11-axis weighted rubric, and a Python+Typer scaffold.
LLM readiness linter for websites. Audits robots.txt, llms.txt, Schema.org, and content density on a 0-100 scale. Includes MCP server. Published on PyPI: pip install context-cli.
Deterministic repo readiness scanner for AI coding agents.
CI gate for your webpage's agent-readiness level 🤖✅
Agent Experience Optimization (AXO) skill — transform any website or business into an AI agent-operable layer. Generates llms.txt, permission models, tool schemas, and evaluation scenarios.
Free agent-readiness scanner: score your site for robots.txt, llms.txt, sitemaps, MCP, OAuth & agent skills—plus free llms.txt & agent.json generators at llmsok.com
Open-source readiness scanner for agent-facing websites, merchants, APIs, docs, and support surfaces.
Agent-Native CLI skill bundle: north-star standard for agentic CLI tools (7 principles, compliance checker). See https://anc.dev/skill
Agent-Adoption Correlation Study — empirical investigation of how website agent-readiness practices correlate with LLM visibility outcomes. n=908 brands, three scanners, three LLMs.
MCP server for AI search visibility auditing. Free scan, paid audit & fix via x402.
Make your API agent-ready in minutes. One YAML declaration, every agent protocol.
Make your SaaS product discoverable by AI agents. Templates for llms.txt, A2A agent-card.json, AGENTS.md, robots.txt, and JSON-LD structured data.
Free no-signup AGENTS.md checker and AI-ready repo checklist.
AI agent methodology — 10 patterns, benchmarks, and open specs. Code quality ≠ agent capability.
Open specification for agent-readiness — 25 checks across HTTP-protocol and content-shape practices, organized into a 3-tier ladder (L1–L3). CC-BY 4.0.
When AI agents browse a site that doesn't publish machine-readable metadata or APIs, they fall back to scraping HTML, guessing endpoints, and retrying. That burns 5-100x more tokens per session and silently inflates the cost of every agent interaction. BotVisibility runs 55 automated checks across 5 levels.
A deployable Claude Managed Agent (YAML + JSON spec) that audits websites and source repos against the 37-item BotVisibility Checklist — Discoverable, Usable, Optimized, Agent-Native — and returns a scored, prioritized report.
First open-source AI Agent Readiness System for independent hotels. Schema.org compliance, agent scoring, readiness diagnostics.
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