Methodology
How We Test AI Visibility
A transparent look at how prompt evidence becomes an AI SEO action plan.
1. Start with buyer intent
Every check starts with a prompt a real buyer might ask. Category, comparison, trust, local, and purchase prompts reveal different gaps. We avoid treating generic keywords as if they were the same as AI buyer questions.
2. Save the answer evidence
A useful report should preserve the prompt, AI platform or signal, scan date, answer text or summary, brand mention status, competitors surfaced, citations or source gaps, and any reviewer notes.
3. Label what the evidence can support
Direct prompt evidence is different from a directional signal. When a source is indirect, variable, or not connected through approved access, the report language should say so clearly.
4. Turn evidence into action
The report should end with a short action plan: improve category clarity, add FAQs, create comparison pages, request reviews, close citation gaps, or correct inaccurate product facts.
Prompt-Specific Field Note
Save the answer, competitors surfaced, citations when available, and the first concrete fix.
Use this as a diagnostic result, not a guaranteed ranking claim. The scan should show what the answer said at a specific time.
Next supporting fixes: Choose buyer-intent prompts, Record answer evidence, Separate direct and indirect signals.
Sample Prompt Result
Redacted sample report layout. Replace with live scan evidence before using as a customer case study.
Example Insights Screenshot
This sample view shows the kind of prompt trend and answer evidence a team should review before deciding what to fix for AI visibility methodology.
How We Test AI Visibility
Use a question close to revenue, not a generic keyword.
Save the platform or signal, date, status, competitors, and citation/source notes.
Separate direct prompt evidence from directional or indirect signals.
Turn the result into a content, proof, review, citation, or positioning action.
The discipline is repeatability: save the prompt, answer, source notes, and first action, then rerun the same prompt after improvements ship.
What A Useful Report Includes
The exact buyer question tested.
The model or signal reviewed.
When the evidence was captured.
Visible, weak, missing, or competitor-led.
Brands or alternatives named instead.
Citations, reviews, or pages to improve.
The first fix to test before the next run.
What To Fix First
- Choose buyer-intent prompts
- Record answer evidence
- Separate direct and indirect signals
- Review big changes before publishing
Frequently Asked Questions
Do you claim guaranteed AI rankings?
No. We report evidence from prompt checks and recommend changes that may improve how clearly AI systems understand, cite, compare, and recommend a brand.
Why does methodology matter?
AI answers vary. A clear method helps separate useful evidence from noise and prevents overclaiming.
Can this support a client report?
Yes, but business-critical findings should be reviewed before they are presented as final recommendations.