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TariffMonkee AEO Audit
x402
TariffMonkee AEO Audit is a paid API for AI agents from tariffmonkee.com, paid per call via x402, $0.031/call, status unknown (last checked 2026-10-27).
Analyzes a URL for AI-readiness by checking schema.org structured data, crawlability signals, and llms.txt, returning a 0-100 score with actionable recommendations.
Price / call$0.031
Success—
StatusUnknown
How this service works
AI-readiness audit for a URL: checks schema.org structured data, crawlability (robots.txt, meta robots, canonical) and llms.txt presence, then returns a 0-100 score with specific recommendations. Cached for 24 hours per URL.
Output
Returns a 0-100 AI-readiness score along with a breakdown of: schema.org structured data presence and quality, crawlability signals (robots.txt, meta robots tags, canonical URLs), and llms.txt presence. Includes specific, actionable recommendations for each missing or misconfigured element. Results are cached per URL for 24 hours.
Example use cases
Pre-launch AI visibility check
“Before I launch my new product site at https://acme-widgets.com, can you audit it for AI readiness and tell me what's missing — structured data, llms.txt, anything that would stop AI crawlers from indexing it properly?”
Competitor AEO benchmarking
“Run an AI-readiness audit on https://competitor-brand.com and give me their score and the specific gaps — I want to see where they're weak on structured data and crawlability so I can outperform them.”
Client website SEO report
“I need an AEO audit for my client's site at https://mybakery.co — can you check the schema.org markup, robots.txt, canonical tags, and llms.txt and give me a score out of 100 with a list of what they need to fix?”
Technical details
Endpoint
GEThttps://tariffmonkee.com/paid/aeo-audit?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, structured assessment of a website's AI/LLM discoverability and crawlability — specifically when you care about schema.org markup completeness, robots.txt and meta robots compliance, canonical tag correctness, and llms.txt presence. Prefer this over generic SEO tools when the goal is Answer Engine Optimization (AEO) and ensuring AI agents and LLMs can properly index and understand the site.
Side effects
- Invalid or unreachable URL returns an error
- Private or firewall-blocked sites cannot be audited
- Sites that block headless crawlers may return incomplete results
- Cached results may not reflect very recent site changes (24-hour cache)
- Malformed URLs may cause request failures
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"url": "https://example.com/",
"score": 43,
"cached": false,
"checks": {
"title": {
"text": "Example Domain",
"present": true
},
"llms_txt": {
"found": false
},
"canonical": {
"href": null,
"present": false
},
"robots_txt": {
"found": false,
"blocks_everything": false
},
"schema_org": {
"found": false,
"types": []
},
"meta_robots": {
"content": null,
"noindex": false,
"present": false
},
"meta_description": {
"text": null,
"present": false
}
},
"fetched_at": "2026-10-18T08:06:00.592Z",
"recommendations": [
"Add schema.org structured data (JSON-LD) so AI systems and search engines can understand what this page is about.",
"Add an llms.txt file describing this site for AI crawlers (see llmstxt.org).",
"No robots.txt found -- add one to explicitly signal which crawlers are welcome.",
"Add a canonical link tag to avoid duplicate-content ambiguity.",
"Page is missing a meta description."
]
}
}Tags
x402
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