Cluster
What AI-Readiness Means
AI-readiness measures how far a company has taken AI into production, read from the stack it runs rather than the AI it markets. This cluster defines the term and the score.
5 questions about what ai-readiness means
- How do you measure whether a company is AI-ready?
You measure AI-readiness from the outside by counting the distinct groups of AI infrastructure a domain loads and calls. Bassethound turns that count into a score, a verdict, and a buyer-intent signal in one call.
- Is llms.txt a good measure of AI-readiness?
llms.txt is a weak standalone measure of AI-readiness. A standard llms.txt is a cheap-to-publish content map, while a technical llms.txt is a stronger machine-facing signal. Bassethound weighs it as one signal group of six, not a verdict by itself.
- What is AI-readiness?
AI-readiness is how far a company has moved from talking about AI to shipping it. Bassethound measures it from the outside by fingerprinting the AI stack a domain loads, then scoring the signal groups it hits.
- What is an AI-readiness score?
An AI-readiness score is a 0-to-1 measure of how much real AI a domain runs, computed from the outside by counting distinct AI signal groups. Bassethound returns it with a shipping, experimenting, or none verdict in one keyless call.
- What signals show a company is serious about AI?
A company is serious about AI when it ships detectable backend infrastructure: model providers, vector stores, orchestration, observability, and machine-facing endpoints like MCP. Marketing copy is not a signal.
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Frequently asked questions
Is AI-readiness the same as having an AI strategy?
No. AI-readiness is measured from what a company runs (model providers, vector stores, MCP endpoints), not from what it plans. A strategy deck does not move the score.
Can AI-readiness be measured from the outside?
Yes. The infrastructure that makes AI real leaves client-side and network fingerprints, which is what Bassethound reads to produce a score and a verdict.
Sniff a domain.
Run sniff_domain on any site and read its five-layer dossier in one call.