SpyderBot Documentation
Platform Overview
SpyderBot is organized as an integrated platform that helps organizations understand, measure, monitor, and improve AI Visibility.
Overview
Rather than providing a single report or dashboard, SpyderBot consists of three complementary products that work together throughout the AI Visibility lifecycle.
Each product answers a different set of questions.
Together, they provide a complete understanding of how AI systems perceive brands and interact with websites.
The Three Core Products
Brand Insights
Brand Insights provides a strategic view of your organization's AI Visibility.
It analyzes how AI systems recommend, describe, compare, cite, and position your brand across a broad universe of prompts.
Brand Insights helps answer questions such as:
- How visible is our brand across AI systems?
- Which competitors receive stronger recommendations?
- How is our brand positioned?
- What are the most important visibility opportunities?
Brand Insights is typically the starting point for understanding your overall AI Visibility.
Prompt Intelligence
Prompt Intelligence focuses on individual prompts.
Instead of analyzing an entire brand, it explains how AI responds to a specific question.
Prompt Intelligence consists of two complementary products.
Prompt Explorer
Prompt Explorer analyzes prompts on demand.
It helps teams investigate recommendation behavior, citations, entity positioning, response structures, and competitive dynamics for a selected prompt.
Prompt Observatory
Prompt Observatory continuously monitors important prompts over time.
It detects meaningful changes, tracks historical trends, and identifies likely drivers behind AI response changes.
Together, Prompt Intelligence answers questions such as:
- Who wins this prompt?
- Which brands are recommended?
- How do different AI models respond?
- What changed?
- Why did it change?
Products → Prompt Intelligence
LLM Tracking
LLM Tracking focuses on how AI systems interact with your website.
Instead of analyzing AI-generated responses, it monitors AI crawler activity, AI referral traffic, content discovery, crawl coverage, AI access controls, and optimization opportunities.
LLM Tracking helps answer questions such as:
- Which AI crawlers visit our website?
- Which pages are discovered by AI systems?
- How much traffic comes from AI platforms?
- Are important pages accessible to AI crawlers?
- What improvements can increase AI discoverability?
How the Products Work Together
Although each product can be used independently, they are designed to support a continuous AI Visibility workflow.
Step 1 — Understand Your AI Visibility
Begin with Brand Insights to establish a comprehensive understanding of how AI systems perceive your organization.
This provides a strategic baseline for future analysis.
Step 2 — Investigate Critical Prompts
Use Prompt Intelligence to examine the prompts that matter most to your business.
Understand why recommendations occur, how competitors perform, and how AI responses evolve over time.
Step 3 — Monitor Website Interaction
Use LLM Tracking to understand how AI systems discover, crawl, and interact with your website.
Ensure that important content is accessible and identify opportunities to improve AI discoverability.
Step 4 — Improve and Measure Again
Apply optimization recommendations, monitor changes, and repeat the analysis regularly.
Because AI systems continuously evolve, AI Visibility should be treated as an ongoing process rather than a one-time measurement.
A Unified Platform
Although each product focuses on a different part of the AI Visibility lifecycle, they share the same principles.
- A common project structure.
- Shared organizations and workspaces.
- Consistent reporting.
- Unified evidence and confidence indicators.
- Historical analysis across the platform.
This allows organizations to move seamlessly between strategic analysis, prompt-level investigation, and website monitoring without switching tools.
Choosing the Right Product
| If you want to... | Use |
|---|---|
| Understand your overall AI Visibility | Brand Insights |
| Analyze a specific prompt | Prompt Explorer |
| Monitor prompt changes over time | Prompt Observatory |
| Understand AI crawler behavior | LLM Tracking |
| Monitor AI referral traffic | LLM Tracking |
| Investigate recommendation changes | Prompt Observatory |
| Compare AI responses across models | Prompt Explorer |
Related Concepts
If you are unfamiliar with these topics, continue with:
- Concepts → AI Visibility
- Concepts → Generative Engine Optimization (GEO)
- Concepts → AI Models
- Concepts → Observation
Next Steps
Continue with one of the following product guides:
Or learn how the platform transforms AI observations into actionable intelligence: