Industry
Agent-readiness for B2B services: be in the answer when you're searched
How a B2B company gets into AI answers when a prospect researches vendors — and isn't invisible to agents.
The problem
A B2B purchase starts with research. Increasingly it runs through AI: “who does X for companies our size?” If you’re illegible to a machine, you won’t be suggested.
Why agent-readiness matters for B2B services
- Long cycle, early contact. Landing in an AI answer at the research stage means making the short list before the first call.
- Expert content works twice. Well-structured case studies and material get cited by AI and build trust.
Where to start
- llms.txt — a map of key pages: services, cases, expertise. The LLM sees at once how you’re useful.
- Schema.org —
Organization,Service, FAQ, machine-readable: AI understands who you are and what you offer. - ai-agent.json — a company manifest for agents.
- robots.txt with AI rules — without explicit access you’re simply out of AI’s view.
The outcome
When a prospect researches the market through AI, your company is in the answer — not left out.