SpyderBot Documentation
Export
Prompt Explorer investigations can be exported for collaboration, documentation, knowledge sharing, and long-term reference.
Overview
Unlike Brand Insights, which summarizes strategic AI Visibility, Prompt Explorer exports preserve the investigation itself.
An exported investigation captures the business question, supporting observations, evidence, and investigation findings so they can be reviewed outside the platform.
This makes Prompt Explorer investigations suitable for collaborative analysis, internal documentation, and future comparison.
Why Export an Investigation?
Organizations commonly export Prompt Explorer investigations to:
- Share findings with colleagues.
- Document important AI behaviors.
- Support optimization decisions.
- Create historical investigation records.
- Compare investigations over time.
- Attach supporting evidence to internal projects or reports.
An exported investigation becomes part of your organization's AI knowledge base.
What Is Included
Depending on the selected export format and available options, exported investigations may include:
- Investigation metadata
- Business question
- Prompt Set
- AI models included
- Investigation configuration
- AI responses
- Recommendation analysis
- Citation analysis
- Entity analysis
- Supporting evidence
- Investigation findings
The objective is to preserve the context of the investigation rather than only the generated AI responses.
Choosing the Right Time to Export
We recommend exporting investigations when:
A Meaningful Finding Has Been Identified
Export investigations that explain important AI behavior or influence business decisions.
Collaboration Is Required
Share investigations with marketing, SEO, GEO, product, engineering, or executive teams.
Optimization Begins
Export the investigation before implementing optimization efforts.
This creates a useful baseline for future comparison.
Long-Term Monitoring Starts
When creating a Prompt Observatory, exporting the initial Prompt Explorer investigation provides a valuable historical reference.
Best Practices
Export Complete Investigations
Whenever possible, export investigations after reviewing the supporting evidence and documenting investigation findings.
Avoid exporting incomplete investigations that may lack sufficient context.
Preserve the Business Question
An investigation is only meaningful when readers understand the question it was designed to answer.
Whenever investigations are shared externally, include the original business objective.
Keep Supporting Evidence
Investigation findings should always be accompanied by the supporting Evidence Layer.
Evidence provides the context required for responsible interpretation.
Build an Investigation History
Organizations often maintain a collection of exported investigations documenting:
- Major AI model updates.
- Competitive changes.
- Optimization milestones.
- Commercial prompt evolution.
These historical investigations become increasingly valuable over time.
Investigation Records vs Reports
Prompt Explorer exports are different from Brand Insights reports.
| Brand Insights | Prompt Explorer |
|---|---|
| Strategic report | Investigation record |
| Executive decision support | Investigation evidence |
| Organization-wide visibility | Prompt-level behavior |
| Business recommendations | Investigation findings |
Although both can be exported, they serve different business purposes.
Related Pages
Prompt Explorer investigations often lead to:
- Products → Prompt Intelligence → Prompt Observatory
- Products → Prompt Explorer → Reading Results
- Products → Prompt Explorer → Evidence Layer
These pages explain how investigations evolve into long-term monitoring and continuous observation.
Related Reports
For organization-wide reporting:
Next Steps
You have completed the Prompt Explorer documentation.
Continue with:
Products → Prompt Intelligence → Prompt Observatory
Prompt Observatory extends Prompt Explorer by continuously monitoring strategically important prompts and identifying meaningful AI behavior changes over time.
Prompt Observatory Overview
Overview
Prompt Observatory is SpyderBot's continuous AI behavior observation platform.
While Prompt Explorer investigates how AI responds to a prompt at a specific point in time, Prompt Observatory continuously observes strategically important prompts and tracks how AI behavior evolves over time.
Its purpose is not only to detect that AI behavior has changed, but also to help organizations understand what changed, why it changed, and whether those changes require action.
Prompt Observatory transforms individual prompt investigations into a continuous observation system.
Why Prompt Observatory Matters
AI systems evolve continuously.
Responses may change because of:
- AI model updates.
- Changes in retrieved information.
- New authoritative sources.
- Competitive activity.
- Entity evolution.
- Natural probabilistic variation.
Organizations that rely on AI-generated visibility need more than one-time investigations.
They need continuous observation.
Prompt Observatory was designed to provide that capability.
Business Decision
Prompt Observatory helps answer one strategic decision:
Has AI behavior changed in a way that requires our attention?
Rather than repeatedly investigating the same prompts manually, organizations can continuously observe strategically important prompts and respond when meaningful changes occur.
Business Questions
Prompt Observatory helps answer questions such as:
- Has this prompt changed?
- What changed?
- When did it change?
- Why did it change?
- Is the change meaningful?
- Should we investigate further?
- Should we take action?
Observation Lifecycle
Prompt Observatory follows a continuous observation lifecycle.
Observe
↓
Detect
↓
Explain
↓
Remember
Each stage builds additional understanding.
Observation becomes intelligence only when change can be detected, explained, and placed into historical context.
Core Capabilities
Prompt Observatory combines several complementary capabilities.
Continuous Observation
Strategically important prompts are observed over time without requiring repeated manual investigations.
Prompt Change Intelligence™
Prompt Change Intelligence™ detects meaningful changes in AI behavior.
Rather than reporting every variation, it focuses on changes likely to influence AI Visibility or business outcomes.
AI Change Attribution Engine™
When meaningful changes occur, the AI Change Attribution Engine™ analyzes available evidence to identify the most likely factors contributing to those changes.
Its purpose is to explain observed behavior rather than simply report it.
Historical Memory
Prompt Observatory maintains historical observations, enabling organizations to understand how AI behavior evolves across weeks, months, and AI model updates.
Historical context often provides greater strategic value than isolated observations.
Prompt Observatory vs Prompt Explorer
Although both products analyze prompts, they answer different questions.
| Prompt Explorer | Prompt Observatory |
|---|---|
| Investigates current AI behavior | Observes AI behavior over time |
| Explains one investigation | Explains behavioral evolution |
| On-demand investigation | Continuous observation |
| Investigation workspace | Observation platform |
Most organizations begin with Prompt Explorer and then create a Prompt Observatory for prompts that require ongoing monitoring.
Related Concepts
To better understand Prompt Observatory:
Related Products
Prompt Observatory extends Prompt Explorer investigations.
A common workflow is:
↓
Products → Prompt Intelligence → Prompt Explorer
↓
Products → Prompt Intelligence → Prompt Observatory
↓
Optimization
↓
Repeat
This workflow supports continuous AI Visibility improvement.
Next Steps
Continue with:
- Products → Prompt Observatory → Creating Observatories
- Products → Prompt Observatory → Timeline
- Products → Prompt Observatory → Change Drivers
- Products → Prompt Explorer → Evidence Layer
- Products → Prompt Observatory → Alerts
- Products → Prompt Observatory → Snapshots
- Products → Prompt Observatory → History
Together these pages explain how Prompt Observatory continuously observes and explains AI behavior over time.