What dimensions does GA Improve analyze?

Analyzes across six dimensions: SEO, Performance, Content Strategy, User Experience, Conversion Analysis, and Technical Audit. Generates comprehensive improvement reports with prioritized action items.

Do I need to configure Google APIs?

Not required. Three data collection modes: API auto collection (most comprehensive), manual CSV export (no setup), and browser audit only (zero config quick check).

How do I install and use it?

Run npx skills add MorvanZhou/ga-improve in your terminal to install it into your AI assistant. Then trigger website analysis through conversation — AI guides you through data collection and report generation.

AI Skills

GA & Search Improve · AI Website Analytics Optimization

Analyze website data via Google Search Console and Google Analytics 4 APIs, automate site audits, and generate data-driven improvement reports with prioritized action items.

GitHub MIT Open Source License

Six Analysis Dimensions

SEO Analysis

Analyze CTR, rankings, impressions, and index coverage using GSC data for search engine optimization insights.

Performance Analysis

Evaluate LCP, INP, CLS, TTFB and other Core Web Vitals through PageSpeed Insights.

Content Strategy

Combine GA4 and GSC data to analyze page views, user engagement, and content gaps.

User Experience

Use GA4 data to analyze bounce rate, session duration, device segmentation and user behavior.

Conversion Analysis

Leverage GA4 data for funnel analysis, landing page conversion rates, and conversion path optimization.

Technical Audit

Check meta tags, JSON-LD structured data, robots.txt, sitemaps, and accessibility.

Workflow

Data Collection

Automatically collect GSC and GA4 data via API (or manual CSV export).

Multi-Dimension Analysis

Comprehensive analysis across SEO, performance, content, UX, conversion, and technical dimensions.

Live Audit

Screenshot websites, run PageSpeed Insights, extract SEO metadata, and review source code.

Generate Report

Produce comprehensive improvement report with P0-P3 prioritized action items and execution roadmap.

Data Collection Modes

Recommended

API Auto Collection

Requires Google Cloud Service Account. ~10 min initial setup, most comprehensive data coverage.

Manual CSV Export

No setup needed. Export CSV files from GSC/GA4 manually. Data scope depends on exports.

Browser Audit Only

No configuration needed. Technical audit only — great for quick checks on basic site issues.

Output

Generates a structured improvement report containing:

Data Overview — Key metrics and trend summary
Prioritized Actions — P0-P3 levels with data evidence and expected impact
Detailed Analysis — Deep analysis organized by six dimensions
Execution Roadmap — Week-by-week implementation plan

Installation

Terminal

$npx skills add morvanzhou/data-driven-product

Run this command in your terminal, or simply ask your AI assistant to execute it.

Frequently Asked Questions

: Analyzes across six dimensions: SEO, Performance, Content Strategy, User Experience, Conversion Analysis, and Technical Audit. Generates comprehensive improvement reports with prioritized action items.
: Not required. Three data collection modes: API auto collection (most comprehensive), manual CSV export (no setup), and browser audit only (zero config quick check).
: Run npx skills add MorvanZhou/ga-improve in your terminal to install it into your AI assistant. Then trigger website analysis through conversation — AI guides you through data collection and report generation.

Encountered other problems or suggestions? Have a bug or suggestion? Drop us an email.

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