Prompts - Optimization
Strategies for writing and refining prompts that deliver maximum insights
Why Prompt Optimization Matters
Well-optimized prompts:
- Increase brand detection accuracy
- Provide more actionable insights
- Reduce wasted credit spending
- Deliver consistent, reliable data
- Enable better competitive analysis
Writing Effective Prompts
Match User Intent
Write prompts as real users would search:
Good:
- "What's the best email marketing platform for small businesses?"
- "How do I choose between Mailchimp and Constant Contact?"
- "Top project management tools for remote teams"
Bad:
- "Email marketing platform features list"
- "Mailchimp Constant Contact"
- "Project management"
Be Specific But Natural
Too vague:
- "CRM software" → Results too broad
Too specific:
- "What's the best CRM software with email integration, task management, contact segmentation, mobile app, API access, and costs under $50/month for a 10-person sales team in Seattle?" → Overly constrained
Just right:
- "What's the best CRM for a small sales team?" → Clear intent, natural
Question Format Works Best
AI platforms are trained to answer questions:
Question format (preferred):
- "Which email marketing tools integrate with Shopify?"
- "How do I automate customer onboarding?"
- "What are the alternatives to Salesforce?"
Statement format (less effective):
- "Email marketing tools Shopify integration"
- "Customer onboarding automation"
- "Salesforce alternatives"
Prompt Types by Goal
Brand Awareness
Track general visibility:
"What are the top [category] companies in 2025?"
"Who are the leaders in [industry]?"
"Best [product type] tools for businesses"
Competitive Positioning
Direct comparisons:
"[Your Brand] vs [Competitor] comparison"
"[Competitor 1] vs [Competitor 2] vs [Your Brand]"
"Why choose [Your Brand] over [Competitor]?"
Feature Discovery
Product capabilities:
"How to [solve problem] with [category]"
"What features to look for in [product type]"
"Best [category] for [specific use case]"
Buying Intent
Purchase consideration:
"Which [product] should I buy for [use case]?"
"Best [product] under [price point]"
"[Product] pricing and plans comparison"
Problem-Solution
User pain points:
"How to improve [metric/outcome]"
"Best way to solve [problem]"
"What's the easiest way to [accomplish task]"
Provider-Specific Optimization
ChatGPT (GPT-4)
- Handles both questions and conversational prompts
- Good for broad queries
- Often provides structured answers
- Strong at comparisons and recommendations
Optimize for ChatGPT:
- Natural, conversational tone
- Clear questions with context
- Specific use cases work well
Perplexity
- Focused on research and factual queries
- Always provides source citations
- Excels at "What is..." and "Who are..." queries
- Great for industry overviews
Optimize for Perplexity:
- Research-oriented questions
- Fact-based queries
- Industry and market questions
- Comparative analysis
Claude
- Detailed, nuanced responses
- Good at explaining complex topics
- Handles multi-part questions well
- Strong ethical and balanced views
Optimize for Claude:
- Thoughtful, detailed questions
- Multi-faceted queries
- Ethical considerations
- In-depth comparisons
Gemini
- Integrated with Google search
- Real-time information
- Strong at current events
- Web-aware responses
Optimize for Gemini:
- Current, timely queries
- "Latest" and "best in 2025" questions
- News and trend questions
- Recent updates and changes
Geographic Optimization
When to Use Multiple Geos
Yes, use multiple geo-locations:
- Products with regional pricing
- Services with local availability
- Regional competitors differ
- Localized content matters
No, stick with Global:
- Digital products available everywhere
- No regional variation expected
- Budget constraints
- Testing phase
Geographic Query Patterns
US-focused:
"Best [product] for US businesses"
"Top [service] companies in America"
UK-focused:
"Best [product] in the UK"
"Top [service] for British companies"
Global:
"Best [product] for international teams"
"Top global [service] providers"
Testing and Refining
Initial Testing Phase
Before scheduling:
- Run prompt manually
- Review full AI responses
- Check brand detection
- Verify competitor mentions
- Assess result relevance
Questions to ask:
- Did the AI mention your brand?
- Are competitor mentions accurate?
- Is the query relevant to your business?
- Does the response provide useful insights?
Iteration Process
If brand not detected:
- Check if you should appear in results
- Add missing brand aliases
- Try more specific prompts
- Consider different phrasing
If results irrelevant:
- Make prompt more specific
- Add context or use case
- Change question format
- Try different provider
If too generic:
- Add qualifying details
- Specify audience or use case
- Include relevant constraints
- Target specific scenarios
A/B Testing Prompts
Test variations:
- Create 2-3 versions of the same query
- Run for 2-4 weeks
- Compare detection rates
- Keep the best performer
Example variations:
- "What are the best CRM tools?"
- "Which CRM should I choose for my business?"
- "Top CRM platforms for small businesses"
Performance Monitoring
Key Metrics to Track
Detection rate:
- How often your brand appears
- Position when mentioned
- Visibility percentage trends
Competitor benchmarking:
- How you compare to competitors
- Which prompts favor competitors
- Gaps to address
Source patterns:
- Which sources get cited
- Your content citation rate
- Competitor source advantages
Regular Review Cadence
Weekly:
- Check new results
- Spot obvious issues
- Quick adjustments
Monthly:
- Full performance review
- Identify underperforming prompts
- Plan optimizations
Quarterly:
- Major strategy review
- Archive old prompts
- Launch new tests
- Adjust budget allocation
Common Optimization Mistakes
Too Many Similar Prompts
Mistake:
- "Best CRM tools"
- "Top CRM software"
- "Leading CRM platforms"
- "Best CRM systems"
Better: Choose the top 1-2 variations and test them
Overly Promotional
Mistake:
"Why is [Your Brand] the best choice?"
"How does [Your Brand] beat the competition?"
Better:
"What are the best [category] tools?"
"[Your Brand] vs [Competitor] comparison"
Ignoring Context
Mistake:
"Project management tool"
Better:
"Best project management tool for remote teams"
"Project management software for agencies"
Not Testing Before Scaling
Mistake:
- Create 50 prompts
- Schedule all as daily
- Never review results
Better:
- Start with 5-10 prompts
- Test for 2 weeks
- Refine based on data
- Scale gradually
Advanced Optimization Techniques
Seasonal Variations
Holiday season:
"Best gifts from [your category]"
"What to buy for [occasion] from [category]"
Tax season:
"Best accounting software for tax prep"
"How to prepare taxes with [category]"
Event-Based Prompts
Product launches:
"What's new in [category] 2025?"
"Latest updates from [your brand]"
Industry events:
"Top announcements from [Event Name]"
"Best products shown at [Conference]"
Competitive Intelligence
Track competitor campaigns:
"[Competitor] new features 2025"
"[Competitor] pricing changes"
"Is [Competitor] worth the cost?"
Content Gap Discovery
Find what's missing:
"How to integrate [Your Product] with [Popular Tool]"
"[Your Product] tutorial for beginners"
"[Your Product] vs [Competitor] features"
Optimization Checklist
Before scheduling any prompt:
- Question is clear and natural
- Reflects real user intent
- Specific enough to be relevant
- Tested manually with good results
- Brand detected (if appropriate)
- Competitors tracked correctly
- Appropriate providers selected
- Right geo-locations chosen
- Frequency matches importance
- Credit cost is justified
