B2B AI Library
HUMAN · AI · AGENT
PROOF LENS
Published: 17 SEP 2026 · 09:11 EESTAuthor: AiVenture Team

Implementations, not theory

See the architecture, BEFORE state, intervention, AFTER state and evidence. The Library distinguishes standards, observations, hypotheses and verified implementation.

EXAMPLEBuyer Agent

A business Agent searches for a service without knowing the supplier in advance.

EXAMPLESeller Agent

A supplier exposes a service as an agent-addressable business capability.

A2ABuyer ↔ Seller

Discovery, request, negotiation boundaries, human approval and evidence.

DISCOVERYARD

Domain-level discovery of agentic resources.

IDENTITYAgent Card

Agent identity, skills, interfaces and capabilities.

OBSERVE3WEBOBS

Observe the Human, AI and Agent/Machine layers with evidence.

UNDERSTANDAI-LENS

Reconstruct what AI can understand about a business and identify gaps.

VERIFYRRVI

Requirement → evidence → verification → finding → remediation → re-verification.

Frequently Asked Questions

What is B2B AI Library?

B2B AI Library is a machine-readable knowledge base for AI maturity, AI signals, AI readiness, and B2B AI infrastructure.

What is AI readiness?

AI readiness means a website or organization can be found, read, understood, verified, and trusted by AI systems.

What are AI signals?

AI signals are machine-readable files, metadata, schema, and proof layers that help AI systems understand and evaluate a website.

Why is sitemap.xml important?

sitemap.xml tells crawlers which pages exist and when they were updated. It is the inventory signal of an AI-readable website.

Why is intents.json important?

intents.json explains what questions the site can answer and which pages should be used for those answers.