AI & Agent Readiness AuditEvaluating Machine Readability & Discovery
Test the publicly observable signals that make a website easier for search engines, AI systems and automated agents to discover, understand and retrieve.
Inspecting live server response & robots.txt...
example.com
Your website exposes several useful machine-readable signals, with opportunities for optimization.
Pillar Breakdown
Observable Signals Inspected
Fix These First
This audit evaluates publicly observable HTTP responses, HTML headers, metadata, and robots.txt rules. It cannot and does not inspect private search console data or internal AI platform indexes.
Privacy-conscious analytics may be used to understand aggregate tool usage. Submitted target URLs and raw page contents are never sent to analytics events.
How It Evaluates Machine Readability
The scanner inspects five core technical dimensions using deterministic checks over public HTTP responses.
Crawler Access
Checks robots.txt existence, explicit AI crawler permissions (GPTBot, ClaudeBot, PerplexityBot), sitemaps, and SSL security.
Machine Content
Evaluates canonical declarations, meta descriptions, single H1 heading hierarchy, and static readable content availability.
Entity & Schema Data
Inspects JSON-LD schema blocks, Organization / WebSite entity declarations, and cross-platform verification links (sameAs).
AI Discovery Signals
Tests for machine context manifests (/llms.txt), OpenGraph rich social metadata, and clean HTML5 semantics.
Technical Delivery
Evaluates server response times, HTTP compression, clean status codes, and low-latency delivery needed for high-frequency crawler retrieval.
This score reflects publicly observable implementation standards that optimize web assets for autonomous retrieval. It does not guarantee specific ranking positions, inclusion in training datasets, or citations in generative AI answers.
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Think Unlimited builds AI, web and growth systems that connect websites, structured data, analytics and measurable business outcomes.