SpyderBot Documentation

How SpyderBot Works

SpyderBot analyzes how large language models (LLMs) generate answers — and how your brand appears within those answers. Instead of relying on traditional ranking signals, SpyderBot focuses on AI-generated outputs and observable patterns.

System overview

SpyderBot operates through three main layers:

  1. Prompt Intelligence
  2. AI Response Analysis
  3. Website & LLM Tracking

1. Prompt Intelligence

SpyderBot processes a large set of prompts related to:

  • Your industry
  • Your product category
  • Your competitors
  • Real user intent

These prompts reflect how users actually interact with AI systems.

=> Purpose:
Understand what questions AI systems are being asked

2. AI Response Analysis

SpyderBot analyzes AI-generated responses to extract:

  • Brand mentions
  • Competitor mentions
  • Relative positioning
  • Ranking order within responses
  • Sentiment and framing

=> Purpose:
Understand how AI systems select and present brands

3. Website & LLM Tracking

SpyderBot analyzes how AI systems interact with your website through:

  • Content accessibility and structure
  • Signals captured via the SpyderBot tracking script
  • Optional integrations with analytics tools (e.g., GA4, GTM)

=> Purpose:
Understand how your website is being interpreted and used by AI systems

From data to insight

SpyderBot converts raw AI interactions into structured outputs:

  • Visibility insights
  • Competitive comparisons
  • Content gaps
  • Optimization opportunities

What SpyderBot does not do

To ensure accuracy and compliance:

  • It does not access third-party systems without user authorization
  • It does not rely on reverse-engineering proprietary AI models
  • It does not attempt to control AI outputs directly

Instead, SpyderBot focuses on:

Measuring patterns that can be observed and improved

Why this approach matters

AI systems are dynamic and probabilistic.

Rather than trying to manipulate them directly, SpyderBot helps you:

Understand patterns -> identify gaps -> improve outcomes

Next step

=> Go to Getting Started to begin your first analysis.