Discoverability
15%Can agents find the machine-facing surfaces? llms.txt, agents.json, structured data, sitemap.
Scanner
Enter a URL. See what agents see. Get a scored readiness report across seven dimensions of agent legibility, trust, and action readiness.
Free: 1 scan/month with summary. Pro ($49/mo): unlimited scans, competitive benchmarking, history, and API.
Seven dimensions
Each scan evaluates the site across seven dimensions, weighted by how much they affect agent interactions in practice.
Can agents find the machine-facing surfaces? llms.txt, agents.json, structured data, sitemap.
Can agents extract canonical business facts without interpreting marketing copy?
Are timestamps, version numbers, and provenance signals present and current?
Are there source-of-truth declarations, policy boundaries, and provenance chains?
Are product and offer attributes structured for cross-site comparison?
Are there declared action endpoints? Can an agent identify the next valid step?
Conformance with agents.json, llms.txt, reasoning.json, WebMCP, schema.org.
How it works
The scanner does not just check for schema presence. It tests whether an agent can actually use what it finds.
Step 1
Headless browser crawl extracts structured data, manifests, meta tags, and machine-facing surfaces.
Step 2
LLM-as-judge assesses meaning quality. Standards parser checks compliance. Comparison probe tests whether a product table can be built.
Step 3
Weighted scoring across all dimensions. Specific findings, prioritized fixes, and a shareable report URL.
Competitive benchmarking
Scanner Pro lets you scan up to 5 competitors alongside your site. Side-by-side comparison across all seven dimensions. See who agents prefer and why.
Sample output