73/100
min 0avg 28-max 100
How AI sees it: citable · preview · 2 critical issues blocking AI agents.
trafilatura.extract returned 0 chars for https://example.com/ — likely JS-rendered or paywalled
AISO fixRetry the scan or inspect the TOOLBOX worker logs for this signal type.
[EntityReplacer] Invalid character '#' in entity name: "#xD" Deserialization error: to see the raw response, inspect the hidden field {error}.$response on this object.
AISO fixRetry the scan or inspect the TOOLBOX worker logs for this signal type.
Deterministic extraction from stored page context: identity, offers, actions, files, trust, and evidence.
No grounded description found.
No structured offer or price evidence found.
No booking, buying, contact, quote, or API path found.
No llms.txt, agents.json, mcp.json, x402.json, profile.json, or offers.json found.
Agents cannot recommend, compare, or transact without a grounded offer or price.
Agents need explicit next actions instead of guessing how to engage.
Files such as llms.txt, agents.json, mcp.json, profile.json, and offers.json make the site directly readable.
Agents need evidence that the identity and claims are trustworthy enough to cite or act on.
Paste these into the public agent files your site is missing, then rescan.
# Example Domain
> Public profile for agent-readable discovery.
Canonical: https://example.com/
Agent-readable schema: aios.agent_readable.v1
## Offers
- Add structured offers.
## Actions
- Add book, buy, quote, contact, or API actions.{
"schema": "aios.agent_readable.v1",
"name": "Example Domain",
"url": "https://example.com/",
"description": "Public profile for agent-readable discovery.",
"offers": [],
"actions": [],
"evidence": [
{
"field": "identity.name",
"text": "Example Domain",
"url": "https://example.com/"
}
]
}{
"schema": "aios.mcp_manifest.v1",
"name": "Example Domain",
"profile_url": "https://example.com/",
"tools": [
{
"name": "ask_profile",
"description": "Answer questions using grounded public profile context."
},
{
"name": "get_offers",
"description": "Return structured offers with prices, URLs, and evidence."
},
{
"name": "start_action",
"description": "Open the best booking, buying, quote, contact, or API action."
}
]
}Every check rolls up into covered, not captured, or planned-only. Click-through rows below stay tied to stored signals only.
AISO maps llms.txt and WebMCP overlap with Chrome Lighthouse's experimental agentic audits. This is an overlap map, not a Lighthouse pass/fail claim.
Web3 surfaces, Solidity and Rust audit, content quality, and site-wide context intelligence ship via the AISO Web Context Engine plus planned TOOLBOX code-audit workers. Cards below show what each module checks; metrics populate once the context-shard dispatch is enabled for your tier.
Wallet-connect, contract addresses, x402 endpoint health, ENS, chain metadata, exposed ABI and token metadata.
Context Engine - scrape regex + actionsFlesch-Kincaid readability, AI-readability, thin pages, duplicate content, keyword stuffing and original-research density.
Context Engine - scrape + researchSitemap coverage %, scrape markdown quality, crawl-discovered pages, entity knowledge-graph presence, research-synthesized authority and wire-extractor results.
Context Engine - scrape + map + crawl + researchAgent readiness is discovery, metadata, proof, offers, actions, protocols, and safe access together.
Sequential. Most of it auto-generates when you install Agent Link; the scanner verifies the result on the next pass.
This report is already unlocked. The full view opens on the owner's device or signed-in account - there is nothing to buy on this page.