SpyderBot Documentation
Brand Insights Overview
Brand Insights is SpyderBot's strategic AI Visibility analysis product.
Overview
It helps organizations understand how modern AI systems perceive, recommend, compare, cite, and position their brands across large language models.
Instead of analyzing a single AI response, Brand Insights evaluates AI behavior across a broad universe of prompts to provide a comprehensive view of your organization's AI Visibility.
The result is a structured intelligence report that helps organizations understand their current AI presence, identify opportunities for improvement, and monitor competitive positioning within AI-generated responses.
Why Brand Insights Matters
AI systems increasingly influence how people discover products, compare vendors, and make purchasing decisions.
Unlike traditional search engines, AI assistants generate complete answers instead of presenting a list of links.
As a result, organizations need to understand not only whether they appear in AI-generated responses, but also how they are represented.
Questions such as these have become increasingly important:
- Does AI recommend our brand?
- Which competitors appear more frequently?
- How does AI describe our products?
- What sources influence AI-generated responses?
- How is our brand positioned compared to competitors?
- Where are the greatest opportunities to improve AI Visibility?
Brand Insights was designed to answer these questions through a unified AI Visibility report.
Business Questions Brand Insights Answers
Brand Insights helps organizations answer strategic questions about their AI Visibility.
Visibility
- How visible is our brand across AI systems?
- How consistently does AI mention our organization?
- Which products receive the strongest visibility?
Recommendations
- Does AI recommend our brand?
- Which competitors receive stronger recommendations?
- For which prompts are recommendations strongest or weakest?
Competitive Positioning
- Who are our primary AI competitors?
- How does AI differentiate competing organizations?
- Which brands dominate important prompt categories?
Citations
- Which sources influence AI-generated responses?
- Which websites are cited most frequently?
- How often is our own website referenced?
Brand Perception
- How does AI describe our organization?
- Which entities are associated with our brand?
- How is our positioning communicated across AI systems?
Improvement Opportunities
- Which areas should we prioritize first?
- Which recommendations are expected to have the greatest impact?
- How does our AI Visibility evolve over time?
What Brand Insights Provides
Brand Insights combines multiple intelligence layers into a single report.
These layers work together to provide a comprehensive understanding of AI Visibility rather than isolated metrics.
The report includes:
- Executive Summary
- Visibility Intelligence
- Competitive Intelligence
- Sentiment Intelligence
- Ranking Intelligence
- Prompt Intelligence
- Commerce Intelligence
- Founder Intelligence
- Recommendations
Each intelligence layer focuses on a different aspect of AI Visibility while sharing the same observation and evidence framework.
Detailed explanations for each intelligence layer are available throughout this documentation.
- Executive Summary
- Visibility Intelligence
- Competitive Intelligence
- Sentiment Intelligence
- Ranking Intelligence
- Prompt Intelligence
- Commerce Intelligence
- Founder Intelligence
- Recommendations
How Brand Insights Fits Within SpyderBot
Brand Insights provides the strategic foundation for understanding AI Visibility.
Depending on your objectives, you may continue with other SpyderBot products.
If you need to investigate why a specific prompt behaves a certain way, continue with Prompt Intelligence.
If you need to understand how AI systems discover and interact with your website, continue with LLM Tracking.
Together, these products provide a complete workflow for measuring, investigating, monitoring, and improving AI Visibility.
Typical Workflow
Although organizations use Brand Insights differently, a common workflow includes the following steps.
1. Run a Brand Analysis
Create a Brand Insights report for your organization.
Select your website, brand, competitors, and analysis scope.
Running Analysis
2. Review the Executive Summary
Begin with the Executive Summary to understand the most important findings before exploring detailed intelligence layers.
Executive Summary
3. Explore Intelligence Layers
Review the intelligence layers that are most relevant to your objectives.
For example:
- Visibility Intelligence for overall AI Visibility.
- Competitive Intelligence for market positioning.
- Prompt Intelligence for prompt-level insights.
- Commerce Intelligence for commercial intent analysis.
Each intelligence layer answers a different business question.
4. Prioritize Recommendations
Review the recommended actions generated throughout the report.
Focus on improvements that align with your business objectives and available resources.
Recommendations
5. Measure Progress
AI Visibility changes over time.
Repeat Brand Insights analyses regularly to evaluate progress, monitor changes, and measure the impact of optimization efforts.
Best Practices
To obtain the most value from Brand Insights:
- Analyze your primary brand before analyzing individual products.
- Include meaningful competitors for comparative analysis.
- Review the Executive Summary before exploring detailed sections.
- Focus on long-term trends rather than isolated observations.
- Combine Brand Insights with Prompt Intelligence when investigating strategic prompts.
- Use LLM Tracking to understand how AI systems interact with your website.
Related Concepts
To better understand Brand Insights, see:
- Concepts → AI Visibility
- Concepts → Generative Engine Optimization (GEO)
- Concepts → Recommendations
- Concepts → Citations
- Concepts → Entities
- Concepts → Evidence Layer
Related Products
Brand Insights works closely with:
Next Steps
Continue with:
After learning how to run a report, explore each intelligence layer in detail.