Question buckets matter more than keywords
AI visibility depends on how users ask for help, compare options, and decide to buy. The diagnosis should cover the real journey, not only keyword strings.
Methodology
How To Run An AI Search Visibility Diagnosis
An AI search visibility diagnosis starts with a brand profile, then builds question buckets across user intent stages, selects AI platforms and rounds, collects answers, computes mention, Top3, source, and competitor metrics, and turns the report into optimization and retest work.
Last updated: 2026-07-05/GEO Lens public guidance
Diagnosis process
| Step | Input | Output |
|---|---|---|
| Brand profile | Name, site, category, market, competitors | Diagnosis context |
| Question buckets | Real buyer questions and intent stages | Collection-ready question set |
| Platforms and rounds | AI platforms, mode, rounds | Cost estimate and collection plan |
| Collection | Question x platform x round | Raw answers and source clues |
| Report and retest | Metrics, competitors, evidence | Actions and baseline |
Diagnosis flow
- 1Profile
- 2Questions
- 3Platforms
- 4Collect
- 5Report
Evidence closes the loop
Metrics locate the issue. Raw answers and sources explain why the model mentioned a competitor, missed the brand, or cited a particular page.
Frequently Asked Questions
How many questions are needed?
It depends on brand complexity and budget. A lighter first run can validate direction; a formal report should broaden questions, platforms, and rounds.
Are more AI platforms always better?
More platforms improve coverage but increase cost. Prioritize the platforms your target buyers actually use.
What should we prepare before diagnosis?
Prepare brand name, website, products, target market, competitors, and the business questions you want to test.
When should we retest?
Retest after publishing meaningful changes to owned pages, FAQ, cases, pricing, comparisons, or third-party sources.
Run AI visibility as a diagnosis loop
Use repeatable questions, AI platforms, and reports to understand where the brand appears in AI answers.
Methodology note
Manual one-off prompts are useful for exploration, but stable diagnosis needs repeatable questions, platform selection, rounds, and evidence capture.