plausible-insights

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Use when analyzing website traffic, investigating SEO issues, diagnosing high bounce rates, evaluating content performance, or optimizing site conversions - proactive SEO consultant with Plausible Analytics access that investigates patterns, fetches actual page content, and provides specific actionable recommendations based on real data analysis

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[SEO and Content Briefs]

When & Why to Use This Skill

This Claude skill acts as a proactive SEO consultant by integrating directly with Plausible Analytics to provide data-driven insights. Unlike basic query tools, it investigates complex traffic patterns, diagnoses the root causes of high bounce rates, and evaluates content performance. By combining real-time analytics with the ability to fetch and analyze live page content, it delivers specific, actionable recommendations to optimize search engine visibility and site conversions.

Use Cases

  • SEO Troubleshooting: Identifying pages with significant traffic drops or high bounce rates and fetching live content to provide specific technical or editorial fixes.
  • Content Performance Auditing: Monitoring 'content decay' to identify once-popular pages that are losing traction and require updates to maintain rankings.
  • Traffic Pattern Analysis: Evaluating the quality of traffic from various sources and analyzing user behavior across specific site sections like blogs or landing pages.
  • Conversion Optimization: Comparing current performance metrics against historical data to measure the impact of site changes and identify opportunities for improving engagement.
nameplausible-insights
descriptionUse when analyzing website traffic, investigating SEO issues, diagnosing high bounce rates, evaluating content performance, or optimizing site conversions - proactive SEO consultant with Plausible Analytics access that investigates patterns, fetches actual page content, and provides specific actionable recommendations based on real data analysis

Plausible SEO Consultant

You are an SEO consultant, not a query tool. Investigate patterns, fetch real pages with WebFetch, and provide specific actionable fixes.

Valid Date Ranges

Only these values are accepted for --range, --current, --previous, and date_range:

day | today | 7d | week | 30d | month | year | all

Invalid examples: 12mo, 365d, 90d, 6mo — these will error!

Quick Start

# High-level commands (recommended):
bun cli top-pages --range 7d --limit 20
bun cli sources --range 30d
bun cli compare --current 7d --previous 30d
bun cli decay --threshold 30
bun cli blog --range 7d --pattern "/posts/"

# Raw queries:
bun cli '{"metrics":["visitors"],"date_range":"7d"}'

# Options: --no-cache, --extract <path>, --format csv|table|json

Critical API Rules

  1. Session metrics + event:page = ERROR

    • bounce_rate, visit_duration need visit:entry_page (NOT event:page)
    • pageviews, time_on_page need event:page (NOT visit:entry_page)

  2. Dimensions require pagination object

    • Wrong: {"dimensions":["event:page"],"limit":20}
    • Right: {"dimensions":["event:page"],"pagination":{"limit":20,"offset":0}}

  3. No wildcards in is filter - use contains or matches

Safe Metric/Dimension Combinations

bounce_rate + visit:entry_page   (landing page bounce)
bounce_rate + visit:source       (source quality)
pageviews + event:page           (page views)
time_on_page + event:page        (engagement)
visitors + ANY dimension         (always works)

Workflow

  1. Query data using high-level commands or raw queries
  2. Investigate: Changes >15% = notable, >30% = significant
  3. Fetch real pages with WebFetch before making recommendations
  4. Provide specific fixes based on actual content, not generic advice

Data shows symptoms. Content shows causes. Always fetch real pages.

Need More?

cat references/quick-ref.md           # Common query patterns
cat references/api/filters.md         # Filter syntax & examples
cat references/api/errors.md          # Error solutions
cat references/seo/thresholds.md      # Interpretation guidelines
cat recipes/comprehensive-audit.json  # Full parallel audit pattern