Quick Start

Search your seed phrase in ProfitTree with filters: Digital only, Sort by Monthly Sales, Under 24 months old. Extract top 5-10 listings into this table:

Calculate revenue concentration: (Top 3 revenue / Total revenue) × 100

Workflow

• Search EACH phrase variation individually in ProfitTree
• Apply standard filters to all searches
• Capture top 5-10 listings per phrase
• Merge results and remove duplicates
• Create master dataset

Output Search Coverage Map:

• Extract structured data table
• Calculate revenue concentration percentage
• Map pricing band distribution (Low <$12, Mid $12-25, Premium $25+)
• Identify market type (Bundle-dominant, Single-sheet, Premium, Race-to-bottom)

• Open top 3-5 listings
• Extract format stack (Excel, Sheets, PDF, Word, Bundle)
• Assess functional depth (Auto-calc, Dashboard, Multi-sheet, Industry-specific)
• Map value positioning language (Template, System, Toolkit, Pro, Ultimate)

• Analyze hero strategy for top 3 listings
• Extract messaging themes
• Score mobile legibility (1-5)
• Assess saturation patterns

• Break down title structures
• Map tag clusters (Core phrase, Industry, Format, Benefit, Adjacent)
• Identify SEO patterns

• Extract buyer feedback patterns
• Map complaints to specific gaps
• Identify what buyers love vs. complain about

Progress tracking:

• Step 0: Multi-phrase search complete
• Step 1: Structure analysis complete
• Step 2: Product extraction complete
• Step 3: Thumbnail analysis complete
• Step 4: SEO mapping complete
• Step 5: Review intelligence complete

Examples

Example 1: Input: "invoice template" seed phrase Output:

MARKET STRUCTURE SUMMARY
- Demand strength: High (847 listings)
- Revenue concentration: 23% (top 3 control)
- Pricing dominance: Mid-tier ($15-20)
- Bundle penetration: 67%

STRUCTURAL WEAKNESSES
- Product gaps: Auto-calculation missing in 80%
- Visual gaps: Text-heavy thumbnails dominate
- SEO blind spots: Industry-specific modifiers underused
- Premium opportunity gap: Yes

Example 2: Input: "purchase order tracker" Output:

SEARCH COVERAGE MAP
| Phrase | Listings Found | Top Listing Revenue | Notes |
| purchase order | 34 | $2,400/mo | Strong demand |
| PO tracker | 12 | $890/mo | Different product type |
| order tracking | 67 | $3,200/mo | Fragmented demand |

MARKET COVERAGE SUMMARY: Demand fragmented across variations

Best Practices

• Only analyze allowed categories: Business templates, operational tools, service business documents
• Focus on revenue structure: Don't interpret strategy, just expose patterns
• Extract, don't recommend: Map what exists, don't suggest what to build
• Use exact ProfitTree data: Don't estimate or assume metrics
• Score mobile legibility objectively: 1=unreadable on mobile, 5=perfectly clear
• Map tag clusters systematically: Group by function, not personal preference

Common Pitfalls

• Don't recommend products - Only analyze existing market structure
• Don't suggest pricing - Only report current pricing patterns
• Don't analyze banned categories - Reject planners, habit trackers, wedding templates, fitness, aesthetic designs
• Don't interpret buyer intent - Only report what reviews explicitly state
• Don't calculate ROI - Focus on revenue patterns, not profitability advice
• Don't validate search volume - Only analyze ProfitTree monetization data

Hard rejection criteria: If phrase doesn't fit business template categories, immediately state why and stop analysis.