The Agent Readiness Snapshot reviews how AI search tools, answer engines, copilots, and buyer agents may find, classify, compare, and recommend your company based on public website content.
Buyers increasingly use AI-powered search tools, copilots, and assistants to research vendors, compare options, draft shortlists, and prepare questions before speaking to sales. That makes GEO readiness, or generative engine optimization readiness, part of the buyer journey.
A polished website can still leave AI systems uncertain about what the company sells, who it serves, what proof exists, how implementation works, or why it should be recommended over alternatives.
A 100-point score across offer clarity, buyer fit, evidence, pricing path, GEO readiness, machine readability, and risk clarity.
How AI systems may classify your company, identify your buyer, and evaluate recommendation confidence.
Page-level observations, top recommended changes, suggested copy improvements, GEO-oriented content gaps, and a starter llms.txt draft.
The Snapshot uses public website content only and reviews how an AI buyer agent may interpret the business.
Homepage, product pages, pricing, FAQ/docs, metadata, sitemap/schema, and llms.txt if present.
Offer clarity, buyer fit, use cases, evidence, procurement path, implementation, FAQ, GEO and machine readability, comparison readiness, and risk clarity.
Translate findings into practical copy, structure, and machine-readability improvements.
For a pre-generated Agent Readiness Snapshot based on public website content.
llms.txt draft by email.The Agent Readiness Snapshot is based on publicly available website content and practical AI-agent evaluation heuristics. It is not legal, compliance, cybersecurity, or SEO advice, and it does not guarantee ranking or recommendation behavior by any specific AI system.