SpyderBot Documentation
Reading Reports
A Brand Insights report provides a structured view of how AI systems perceive your organization.
Overview
Rather than presenting isolated metrics, the report combines multiple intelligence layers to help you understand your current AI Visibility, identify opportunities for improvement, and evaluate competitive positioning.
Every report follows a consistent structure, allowing organizations to compare analyses over time and across projects.
How to Read a Brand Insights Report
Brand Insights is designed to be read from the highest-level conclusions down to detailed intelligence.
We recommend the following workflow.
Executive Summary
↓
Visibility Intelligence
↓
Competitive Intelligence
↓
Supporting Intelligence Layers
↓
Recommendations
This approach helps you understand the overall story before exploring individual metrics.
Start with the Executive Summary
The Executive Summary highlights the most important findings from the analysis.
Rather than reviewing every intelligence layer immediately, begin by understanding:
- Overall AI Visibility.
- The strongest opportunities.
- The most significant risks.
- Key competitive movements.
- Priority recommendations.
The Executive Summary is intended to answer:
"If I only spend five minutes reviewing this report, what should I know?"
Executive Summary
Explore the Intelligence Layers
After reviewing the Executive Summary, investigate the intelligence layers that are most relevant to your objectives.
Each layer answers a different business question.
| If you want to understand... | Read |
|---|---|
| Overall AI Visibility | Visibility Intelligence |
| Competitive positioning | Competitive Intelligence |
| Brand perception | Sentiment Intelligence |
| Relative rankings | Ranking Intelligence |
| Prompt-level performance | Prompt Intelligence |
| Commercial intent | Commerce Intelligence |
| Founder perception | Founder Intelligence |
Rather than interpreting these layers independently, consider how they support or explain one another.
- Visibility Intelligence
- Competitive Intelligence
- Sentiment Intelligence
- Ranking Intelligence
- Prompt Intelligence
- Commerce Intelligence
- Founder Intelligence
Use Evidence Throughout the Report
Every important observation should be interpreted alongside its supporting evidence.
Depending on the section, supporting evidence may include:
- Confidence indicators.
- Observation scope.
- Historical comparisons.
- Supporting AI observations.
- AI models included.
Evidence helps distinguish meaningful patterns from normal variation in AI-generated responses.
Always consider the supporting evidence before making strategic decisions.
Focus on Trends, Not Individual Results
AI systems continuously evolve.
A single report represents a point in time rather than a permanent state.
When reviewing Brand Insights:
- Compare results with previous analyses.
- Look for sustained movements rather than isolated changes.
- Evaluate long-term progress after optimization efforts.
Organizations typically obtain the greatest value from Brand Insights by measuring AI Visibility regularly.
Prioritize Business Outcomes
Not every observation requires immediate action.
Focus first on findings that have the greatest potential business impact.
Examples include:
- Major visibility gaps.
- Significant recommendation opportunities.
- Competitive advantages or disadvantages.
- Missing citations from authoritative sources.
- Weak entity recognition.
- Important commercial opportunities.
Brand Insights is designed to help prioritize actions rather than simply report observations.
Recommendations Are the Final Step
Recommendations should be interpreted after understanding the report.
The purpose of the intelligence layers is to explain the current state.
The purpose of Recommendations is to suggest where to improve next.
Reviewing recommendations before understanding the report may reduce their strategic value.
Recommendations
Comparing Reports Over Time
Organizations often generate multiple Brand Insights analyses.
Comparing reports over time helps answer questions such as:
- Has AI Visibility improved?
- Have recommendations increased?
- Has competitive positioning changed?
- Have optimization efforts produced measurable results?
Long-term trends are generally more informative than individual analyses.
Common Mistakes
Reading Sections in Isolation
Every intelligence layer provides one perspective.
The greatest value comes from understanding how they work together.
Treating AI Responses as Static
AI systems evolve continuously.
Avoid assuming that one report permanently represents AI behavior.
Ignoring Supporting Evidence
Evidence provides essential context for interpreting AI observations.
Review supporting evidence before drawing conclusions.
Prioritizing Every Recommendation
Not every recommendation has the same strategic importance.
Focus first on actions that align with your organization's business objectives.
Related Concepts
To better understand the information presented throughout Brand Insights:
- Concepts → AI Visibility
- Concepts → Evidence Layer
- Concepts → Confidence Score
- Concepts → Share of Voice
- Concepts → Citations
- Concepts → Recommendations
Related Pages
Continue with:
- Products → Brand Insights → Executive Summary
- Products → Brand Insights → Visibility Intelligence
- Products → Brand Insights → Recommendations
These pages explain each part of the Brand Insights report in greater detail.