First-party measurement · September 12, 2026
Citation Gap Analysis: A Worked Example
A real VisiScan self-scan shows how to separate observed citation gaps from weak prompts before choosing an outreach or listing action.
Observed gap
Ten of 30 live observations contained a cited domain, but none cited visiscan.app. That is an observed citation gap for this run. It is not yet evidence that every recurring domain below is a useful acquisition target.
Recurring cited domains
| Domain | Observed citations | Decision |
|---|---|---|
| bbb.org | 5 | Validate with a corrected prompt panel |
| google.com | 5 | Validate with a corrected prompt panel |
| trustpilot.com | 4 | Validate with a corrected prompt panel |
| yelp.com | 4 | Validate with a corrected prompt panel |
| sba.gov | 2 | Validate with a corrected prompt panel |
The correct next action
The scanner misclassified VisiScan as OTHER. Prompts about an emergency “business” and the “best business near US” caused generic sources such as consumer directories and government resources to appear. Creating profiles or outreach from this table would mistake prompt noise for a real citation opportunity.
- Correct the business category and approve an unbranded SaaS buyer-question panel.
- Repeat the same questions twice per available engine.
- Keep only sources that recur in relevant recommendation answers.
- Check whether VisiScan has an accurate, eligible presence on each retained source.
- Make one change, wait for recrawl or retrieval, and rerun the frozen panel.
Expected outcome: a cleaner shortlist with evidence tied to relevant prompts. Verification: compare exact question-engine cells and keep provider failures visible.