---
name: ai-query-fanout-commercial-intent-keywords
description: Run this skill to audit AI query fan-out for commercial intent pages, patch missing proof blocks, and improve buyer-stage recommendation share.
---

# Commercial Intent Query Fan-Out Audit Skill File

## When to use

Use this when your pages get AI citations on informational prompts but disappear on comparison or buying prompts. It is built for small teams that need a weekly workflow tied to sales-oriented visibility.

## Steps

1. Pull 20 target queries and label each as informational, commercial, or transactional.
2. Run fan-out checks for your top commercial variants and log which sources appear across prompt rewrites.
3. Patch missing evidence blocks on commercial pages with comparisons, source-backed claims, and fit guidance.
4. Re-test the same buyer prompts after updates and measure recommendation share changes.
5. Track citation share and commercial recommendation share together in one weekly dashboard.

## Examples

- Worksheet sample from the post: 8 informational, 7 commercial, 5 transactional.
- Failed prompt: "best payroll tool"
- Fixed prompt: "best payroll tool for one-person agency under $100, alternatives included"
- Source substitution check from the post: an agency-of-one founder tested 12 buyer prompts in 45 minutes, and their page vanished in 7 prompts after minor wording changes.

## Notes

This workflow is most useful when you validate source paths, not only final model answers. If citation share rises but recommendation share stays weak, prioritize proof upgrades before publishing more early research content.