Start by defining one buyer-intent question, create a source-backed asset, add schema or tool output, connect it to a monetization step, and audit before scaling. For this strategy, the key implementation move is to define the buyer question, expose one read-only tool, return structuredContent, publish docs, then smoke-test calls before registry submission.
This page gives a short answer first, then repeats the decision context in a table, FAQ, and implementation gate. That structure is designed for both human buyers and AI citation systems.
| Step | Action | Evidence |
|---|---|---|
| 1 | define the buyer question, expose one read-only tool, return structuredContent, publish docs, then smoke-test calls before registry submission | Source-backed page or working tool |
| 2 | Connect to monetization | route assistant-driven discovery to a diagnostic, implementation sprint, or managed setup offer |
| 3 | Close failure mode | claiming AI distribution without a working MCP contract or registry-ready docs |
Start by defining one buyer-intent question, create a source-backed asset, add schema or tool output, connect it to a monetization step, and audit before scaling. For this strategy, the key implementation move is to define the buyer question, expose one read-only tool, return structuredContent, publish docs, then smoke-test calls before registry submission.
No. This page can be monetization-ready, but revenue success requires verified customer, payment, or lead evidence.