B2A面向AI代理销售

When to Use

User building products/services for AI agents as customers. Covers making products agent-discoverable, designing for autonomous purchasing, payment integration, and competing when buyers compare cold data instead of responding to storytelling.

Quick Reference

Topic	File
Technical implementation	INLINECODE0
Agent discovery & SEO

discovery.md | | Retail/ecommerce specifics | retail.md |

The Paradigm Shift

B2C/B2B	B2A
Humans browse, compare, feel	Agents query, parse, decide
Emotional storytelling wins

Structured data wins | | UX optimized for eyes | APIs optimized for parsing | | Brand = trust + emotion | Brand = verified track record | | Loyalty = relationship | Loyalty = switching cost | | Marketing = persuasion | Marketing = engineering |

Core Rules

1. Machine-Readable First

• - Products must be structured objects, not prose descriptions
• JSON-LD, Schema.org, OpenAPI with typed fields
• If an agent has to "interpret" text to extract price/specs, you lose
• Normalize units: shipping_days_max: 2, not "fast shipping"

2. Comparability Is Everything

Agents compare ruthlessly. Win by being comparable:

• - Standardized attributes across your catalog
• Same fields as competitors (pricecurrency, availabilitystock)
• SLAs with concrete numbers, not promises
• "Better" must be objectively measurable

3. Discovery ≠ SEO

Agents don't Google. They query registries and APIs:

• - Publish in skill stores / capability directories
• INLINECODE4 or MCP tools
• Metadata must declare capabilities, not market them
• The new PageRank = ranking in agent skill stores

4. Trust Is Verified, Not Told

Agents don't believe claims. They verify:

• - Uptime/latency/SLA history via API, not badges
• Reviews from other agents (programmatic reputation)
• Certifications as queryable data, not PDF downloads
• Track record > marketing copy

5. Zero-Friction Trial or Death

Agents don't "consider"—they test or discard:

• - Onboarding < 1 API call
• Sandbox with rate limits, not "talk to sales"
• Must work perfectly first time (no second chances)
• Errors must be machine-readable, not HTML pages

6. Payments for Agents

The agent needs to transact autonomously:

• - Stripe Agent Toolkit, Mastercard Agent Pay, or similar
• Pre-authorized budgets (agent has $X to spend)
• Programmatic receipts and confirmations
• Escrow for trust between unknown parties

7. Metrics That Matter

Metric	What It Measures
Agent Conversion Rate	% queries → purchase
Decision Latency

Time from first query to commit | | Comparison Survival | % times reaching final shortlist | | Repeat Agent Retention | % agents that return | | API Error Rate | Failures causing agent to discard |

Traditional metrics (page views, bounce rate) are meaningless.

Common Traps

Trap	Why It Fails
Pretty website, no API	Agents don't see your UI
"Contact us for pricing"

Agents need programmatic pricing | | Marketing copy in descriptions | Agents parse data, skip prose | | HTML error pages | Agents need JSON errors | | Manual onboarding | Agents won't wait | | Trust badges instead of APIs | Unverifiable = untrusted | | Optimizing for humans first | Delays agent-readiness |

Honest Limitations

What an AI helping you with B2A cannot do:

• - Create track record — You have to actually deliver 99.9% uptime
• Know internal rankings — How Claude/GPT rank skills is opaque
• Predict agent decisions — Each agent has its own heuristics
• Guarantee discovery — Skill stores may have hidden placement deals
• Prevent gaming — Competitors lying about specs is real

Readiness Checklist

CODEBLOCK0