gsc-analyzer（GSC 分析仪）

Google Search Console Analyzer

Transform GSC data into strategic, revenue-focused insights for startup founders and marketing leaders.

Workflow

1. Parse the GSC data (read CSV files or run parser for zip)
2. Confirm brand terms (use AskUserQuestion)
3. Ask for business context (conversion rate, ACV, goals)
4. Filter irrelevant/spam queries
5. Ask which analysis mode(s) to run
6. Execute analysis with revenue impact estimates
7. Generate strategic report with prioritized actions

Business Context Collection

Before analysis, gather key inputs to size opportunities:

AskUserQuestion:
1. "What's your approximate trial/signup conversion rate from organic traffic?"
   - Options: <1%, 1-2%, 2-4%, 4%+, Not sure

2. "What's your average contract value (ACV)?"
   - Options: <$200/yr, $200-500/yr, $500-2000/yr, $2000+/yr, Enterprise pricing

3. "What's your primary goal for this analysis?"
   - Options: Growth planning, Competitive analysis, Quarterly prioritization, All of the above

Brand Term Detection (Required)

Read: references/brand_analysis.md for methodology.

1. Auto-detect brand terms (exact name, domain, misspellings)
2. Use AskUserQuestion to confirm
3. Flag irrelevant/spam queries for exclusion

Analysis Modes

Mode 1: Brand vs. Non-Brand Analysis

For: Understanding marketing effectiveness and growth sustainability.

Read: references/brand_analysis.md

Key outputs:

• Brand dependency score (healthy: 20-40%)
• Traffic composition breakdown
• Trend analysis (is brand or non-brand growing?)
• Risk assessment if brand-heavy

Mode 2: SEO Analyst

For: Finding quick wins and optimization opportunities.

Read: references/seo_analysis.md

Key outputs:

• Quick wins: Position 4-10, high volume (with revenue estimate)
• Striking distance: Position 11-20 keywords
• CTR optimization opportunities
• Cannibalization issues

Mode 3: Content Strategist

For: Identifying content gaps and new opportunities.

Read: references/content_opportunities.md

Key outputs:

• Topic clusters without dedicated content
• Question-based content opportunities
• Comparison content gaps (vs competitors)
• International/multilingual opportunities

Mode 4: Paid Search Specialist

For: Building Google Ads strategy from organic data.

Read: references/paid_search.md

Key outputs:

• High-intent keywords not ranking organically
• SERP domination opportunities
• Competitor conquesting targets
• Budget allocation recommendations

Mode 5: Strategic Summary

For: Quarterly planning, team alignment, prioritization.

Read: references/strategic_frameworks.md

Output format:

# [Company] Organic Search Performance - [Period]

## Headline Metrics (table)
## Key Risks (numbered, with business impact)
## Key Opportunities (numbered, with revenue estimates)
## Resource Requirements (specific asks)
## 90-Day Priorities (with owners)

Strategic Frameworks

Read: references/strategic_frameworks.md for all frameworks.

Revenue Impact Estimation

Size every opportunity in dollars:

Revenue = Traffic Gain × Conv Rate × Trial-to-Paid × ACV

Funnel Stage Classification

Share of Voice

Estimate competitive position from ranking data:

• Position 1 = 25-35% of clicks
• Position 2-3 = 8-18% of clicks
• Position 4-10 = 2-8% of clicks

Anomaly Detection

Flag automatically:

• Traffic drops >20%
• CTR anomalies (high impressions, low clicks)
• Position changes on key terms

Quick Reference

Intent Classification

Healthy Benchmarks

Example Outputs

• "Analyze this GSC data" → Full analysis with strategic summary
• "How much revenue are we leaving on the table?" → Revenue impact mode
• "Give me the TL;DR on our SEO performance" → Strategic summary
• "What should we focus on this quarter?" → Prioritized recommendations