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How AI sees it: invisible · preview · 2 critical issues blocking AI agents.
AISO fixCite at least one .edu/.gov, Wikipedia, IETF/W3C spec, or tier-1 publication near your flagship claims.
AISO fixEvery % / 'X customers' / stat deserves an inline citation link to the origin study or publication.
AISO fixAdd a 2–4 sentence paragraph immediately after the H1 summarising what the product is and who it serves.
AISO fixOpen with 'We are ...' / 'Our mission is ...' / 'This is ...' — AI models need explicit entity framing.
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 need a stable name, category, and short description before they can explain the page.
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.
Paste these into the public agent files your site is missing, then rescan.
# agntdot.com
> Public profile for agent-readable discovery.
Canonical: https://agntdot.com/
Agent-readable schema: aios.agent_readable.v1
## Offers
- Add structured offers.
## Actions
- Add book, buy, quote, contact, or API actions.Every check rolls up into covered, not captured, or planned-only. Click-through rows below stay tied to stored signals only.
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 + actionsAgent 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.
AISO fixAdd <time datetime='YYYY-MM-DD'>Updated ...</time> or article:modified_time meta, or expose dateModified in Article JSON-LD.
AISO fixAdd 'founder': [{ @type: Person, name: ... }] to the Organization schema.
AISO fixRuntime Visibility requires at least 2 LLM engines. Add a second API key to enable the panel.
{
"schema": "aios.agent_readable.v1",
"name": "agntdot.com",
"url": "https://agntdot.com/",
"description": "Public profile for agent-readable discovery.",
"offers": [],
"actions": [],
"evidence": []
}{
"schema": "aios.mcp_manifest.v1",
"name": "agntdot.com",
"profile_url": "https://agntdot.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."
}
]
}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.
Flesch-Kincaid readability, AI-readability, thin pages, duplicate content, keyword stuffing and original-research density.
Sitemap coverage %, scrape markdown quality, crawl-discovered pages, entity knowledge-graph presence, research-synthesized authority and wire-extractor results.
Context Engine - scrape + map + crawl + research