Prompt Library

A Prompt Library is a structured collection of queries that represent how potential customers might ask AI assistants about products, services, or topics in your industry. By systematically testing these prompts across multiple AI platforms, you can monitor your brand's visibility and citation frequency.

Components of an Effective Prompt Library:

1. Category Coverage

• Product/service queries ("best [product category]")
• Comparison queries ("[brand A] vs [brand B]")
• How-to queries ("how to [solve problem]")
• Recommendation queries ("which [product] should I use")

2. Intent Types

• Informational: Learning about a topic
• Commercial: Researching before purchase
• Transactional: Ready to buy/sign up

3. Specificity Levels

• Broad: General industry queries
• Medium: Category-specific queries
• Narrow: Brand-specific queries

Best Practices:

• Include 50-200 prompts per tracked domain
• Update prompts quarterly based on trends
• Test across multiple AI platforms
• Track changes in responses over time
• Include competitor brand names for SOV analysis

A well-maintained prompt library is essential for systematic AI visibility monitoring and competitive intelligence.