SpyderBot Documentation

Prompt Sets

Prompt Sets organize related prompts into a single investigation.

Overview

Rather than analyzing individual prompts in isolation, Prompt Sets allow organizations to investigate a complete business question using multiple prompts that represent different user intents, phrasings, and scenarios.

A well-designed Prompt Set provides broader coverage, more representative observations, and stronger evidence than any individual prompt alone.


Business Decision

Prompt Sets help answer one strategic decision:

Which collection of prompts best represents the business question we want to investigate?

AI responses can vary significantly depending on how a question is phrased.

Prompt Sets reduce the risk of drawing conclusions from a single prompt by investigating multiple related prompts together.


Business Questions

Prompt Sets help organizations answer questions such as:

  • Which prompts should be investigated together?
  • Do different phrasings produce different AI responses?
  • Which user intents matter most?
  • Which prompt categories should we monitor?
  • Does AI behave consistently across related prompts?

What Is a Prompt Set?

A Prompt Set is a curated collection of prompts designed to investigate a single business objective.

Rather than treating prompts independently, Prompt Explorer evaluates them as a related investigation.

For example, instead of analyzing only:

What is the best CRM software?

A Prompt Set may also include:

  • Which CRM is best for startups?
  • Best CRM for enterprise companies.
  • CRM software comparison.
  • HubSpot alternatives.
  • Salesforce competitors.
  • Which CRM should I choose?

Together these prompts provide a more complete representation of the underlying business question.


Why Prompt Sets Matter

Individual prompts provide individual observations.

Prompt Sets provide patterns.

This distinction is important because AI systems often respond differently depending on wording, context, and user intent.

Analyzing a collection of related prompts helps organizations:

  • Reduce prompt-specific bias.
  • Improve investigation reliability.
  • Identify consistent AI behavior.
  • Better represent real-world user searches.
  • Build stronger evidence for strategic decisions.

Prompt Sets help transform isolated prompt analysis into systematic investigation.


Designing Effective Prompt Sets

Well-designed Prompt Sets typically share a common business objective.

Examples include:

Product Recommendations

Prompts asking AI to recommend products or services.


Competitor Comparisons

Prompts comparing competing organizations.


Buying Decisions

Prompts associated with commercial intent.


Educational Questions

Prompts focused on learning or understanding a topic.


Brand Discovery

Prompts where users seek organizations within a specific market.

Each Prompt Set should investigate one primary business question.


Coverage Within a Prompt Set

Prompt Explorer evaluates the overall coverage of a Prompt Set rather than relying on a single prompt.

Effective Prompt Sets generally include:

  • Different phrasings.
  • Different user intents.
  • Different levels of specificity.
  • Different purchasing stages.
  • Different conversational styles.

Greater diversity often produces a more representative investigation.

For additional information:

Concepts → Coverage


Best Practices

Design Around Business Questions

Create Prompt Sets that represent real business objectives rather than arbitrary collections of prompts.


Avoid Unrelated Prompts

Prompts investigating different objectives should generally belong to different Prompt Sets.

Mixing unrelated prompts may reduce the clarity of the investigation.


Include Multiple User Intents

Users often ask similar questions in different ways.

Including multiple intents improves investigation quality.


Review Prompt Sets Periodically

As user behavior evolves, Prompt Sets should also evolve.

Organizations should periodically review and update strategically important Prompt Sets.


Common Prompt Set Examples

Organizations commonly create Prompt Sets for:

  • Product recommendations.
  • Category leadership.
  • Competitor comparisons.
  • Buying decisions.
  • Industry expertise.
  • Brand discovery.
  • Solution alternatives.
  • Use-case investigations.

Each Prompt Set represents a different strategic question.


Relationship to Prompt Observatory

Prompt Sets created in Prompt Explorer can become the foundation for continuous monitoring within Prompt Observatory.

Once a Prompt Set consistently represents an important business objective, organizations often create a Prompt Observatory to monitor that Prompt Set over time.

Prompt Observatory


Related Concepts

To better understand Prompt Sets:


Next Steps

Continue configuring your investigation:

These settings determine how Prompt Explorer investigates the Prompt Set across supported AI systems.