Why fixed question buckets matter
AI answers are sensitive to prompt wording. Fixed buckets help teams separate awareness, exploration, evaluation, and action-stage questions instead of overreading one random answer.
Methodology
GEO Diagnosis Methodology
GEO Lens uses fixed questions, fixed platform scope, and comparable retest methodology to observe brand mentions, recommendation position, source attribution, and competitor gaps in AI answers. It is not a one-off manual prompt or a ranking promise; it is a sampled diagnosis process that turns AI answers into metrics, evidence, and actions.
Last updated: 2026-07-05/GEO Lens public guidance
GEO Lens diagnosis scope
| Step | What happens | Why it matters |
|---|---|---|
| Brand profile | Collect name, aliases, domains, category, competitors, and products | Keeps the diagnosis grounded in the real business |
| Question buckets | Cover trigger, exploration, evaluation, and action intent | Avoids relying on one or two ad hoc prompts |
| Platform collection | Collect AI answers by platform, round, and mode | Compares how different AI systems respond |
| Metric calculation | Calculate mentions, Top3 exposure, source coverage, and competitor gaps | Turns answers into reviewable evidence |
| Report and retest | Generate a report and preserve baseline scope | Lets teams verify whether improvements changed the signal |
Standard diagnosis flow
- 1Create brand
- 2Confirm questions
- 3Select platforms
- 4Generate report
- 5Retest with same scope
Why raw evidence matters
Metrics show direction, but raw answers, sources, and competitor context explain the reasons. A report should always let users return to the evidence.
Frequently Asked Questions
How is GEO diagnosis different from manual prompting?
GEO diagnosis fixes questions, platforms, rounds, and metrics. Manual prompting is better for exploration but weaker as a baseline.
What are TEEA question buckets?
They are trigger, exploration, evaluation, and action questions that cover the user journey inside AI answers.
Are more platforms always better?
More platforms broaden coverage but increase cost. Start with the platforms your audience uses most.
Why should retests keep the same scope?
Baseline and retest results are more comparable when questions, platforms, rounds, and mode stay consistent.
Can diagnosis results prove business growth?
No. They measure AI-answer visibility signals and should be combined with traffic, conversion, and business data.
Diagnose AI visibility with a fixed scope
Understand the methodology before reading metrics and recommendations.
Methodology note
Results depend on brand inputs, question set, platforms, rounds, collection time, and external AI system behavior. Reports should be read with those limits visible.