How to read your report
A Geolity report is designed as a three-act story: first understand your position, then verify the evidence, and finally decide what to improve.
Act 1
Diagnosis
Understand where the brand stands and where the largest visibility gaps appear.
Act 2
Evidence
Inspect the buyer questions and real AI answers behind the diagnosis.
Act 3
Action plan
Turn the strongest evidence into a prioritized list of improvements.
Recommended reading order
Do not stop at the headline score. The score tells you that a gap exists; the evidence explains why it exists; the action plan tells you where to begin.
Act 1
Diagnosis: how AI sees you
Act 1 summarizes the brand’s current AI visibility and places it in category context. Start with the three headline cards.
Visibility Score
Shows the strength of visibility. Recommendations receive more weight than simple mentions.
Category Rank
Shows where the brand sits among competitors detected in the same AI answers.
AI Visibility Rate
Shows how often the brand is Recommended or Mentioned across the analyzed questions.
Read the diagnostic tabs
Overall
Use the leaderboard to compare recommendation and mention coverage against the category.
By scenario
Find the buying situations where the brand is strongest or farthest behind the category leader.
By engine
Identify whether the gap is concentrated in ChatGPT, Gemini, Perplexity, or Google AI rather than across every engine.
By product
When product data is available, see which product lines receive the most visibility and which are absent.
How to interpret it: a high Visibility Rate with a lower Visibility Score usually means the brand is often mentioned but not strongly recommended. A good score with a weak Category Rank means competitors are performing even better.
For the exact formulas, see Report metrics.
Act 2
Evidence: every buyer question, answered
Act 2 lets you audit the diagnosis. Each row connects a buyer question to its scenario and its final visibility state.
- The buyer-style Prompt
- The associated buying scenario
- Recommended, Mentioned, or Not Visible
- The result from each AI engine
- A concise evidence summary
- Expandable raw answers and cited sources
What to look for
- 1
High-intent questions where you are Not Visible
These are often the clearest missed opportunities because the buyer is close to comparing or choosing.
- 2
Different results across engines
An engine-specific gap suggests a source, coverage, or retrieval difference rather than a universal positioning problem.
- 3
Competitors repeatedly recommended
Read the wording and cited sources to understand which proof points support their advantage.
- 4
Sources AI trusts
Repeated citations reveal the publishers and page types influencing the category’s AI answers.
How to interpret it: use raw answers to validate the classification. A citation is supporting evidence, not an automatic score boost; it matters because it shows which pages shaped the answer.
Act 3
Action plan: what to fix first
Act 3 converts the strongest gaps from Acts 1 and 2 into a prioritized work list. Each item includes a priority, a title, and an explanation of the recommended improvement.
Start here
Issues with the clearest visibility impact or strongest supporting evidence.
Plan next
Important improvements that support coverage but are less urgent.
Monitor
Useful refinements or opportunities to revisit after higher-priority work.
Turn the plan into a measurable cycle
- 1Choose one High-priority action and connect it to the evidence questions that exposed the gap.
- 2Improve the relevant product page, comparison content, proof points, or third-party source coverage.
- 3Keep the Prompt set stable for the next scheduled report.
- 4Compare score, category rank, raw answers, and citations after the next refresh.
How to interpret it: the Action plan is a starting hypothesis. The next scheduled report provides the proof by showing whether the same buyer questions produce better recommendations, rank, and source coverage.