Discovery
Agents need product, policy, service, pricing, and support surfaces they can read without guessing.
Agent commerce
Make your business legible to AI-agent buyers.
The next qualified buyer may be an autonomous agent working on behalf of a human team. Agentify helps commerce and B2B companies turn websites, catalogs, checkout, and operations into surfaces agents can discover, evaluate, and use safely.
Where revenue breaks
Agent buyers need more than a rendered website.
Evaluation
Buyers compare fit from structured claims, constraints, proof, availability, and integration paths.
Transaction
Checkout, quote, appointment, support, and payment flows need scoped credentials, approval rules, evidence, and audit trails.
Operations
Support, status, returns, billing, and CRM updates need callable tools that do not bypass controls.
Build path
Start with audit proof, then expose only the tools that matter.
Read the public surface
Find the gaps agents see first: crawl posture, schema, catalog shape, tool discovery, and broken conversion paths.
Publish agent-readable proof
Ship llms.txt, markdown twins, well-known descriptors, service/product payloads, and MCP discovery.
Scope callable tools
Expose only the calls an agent should make, with rate limits, logs, approval gates, and fallback humans.
Instrument the revenue loop
Track agent-originated requests, handoffs, quotes, orders, support events, and suppression decisions.
Reference implementation
Agentify ships the surface it sells.
This site is already crawlable, machine-readable, and callable. The same pattern becomes the baseline for client implementations.
- /llms.txt
- /llms-full.txt
- /.well-known/agents.json
- /.well-known/mcp.json
- /mcp
- schema.org
- catalog feeds
- checkout intent
- order status
- human handoff