Guides building a holistic SEO data analysis system. Covers four core metrics (indexing, traffic, keywords, backlinks), benchmark setup, article database, tool selection, traffic diversification, penalty recovery, and work document management.
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Scope
Core metrics
Indexing, traffic, keywords, backlinks
Benchmark
Natural traffic baseline; trend comparison
Article database
Per-article performance tracking
Tool selection
GA4, GSC, SEO tools, analytics platforms
Traffic diversification
Healthy source mix
Penalty recovery
Algorithm impact, fix workflow
Work documents
Monthly records, responsibility tracking
Four Core Metrics
1. Indexing
Metric
Purpose
Data Source
Pages indexed / not indexed
Coverage; early focus: all target pages indexed
GSC, site: command, SEO tools
Keyword count per page
More keywords = more potential traffic
SEO tools
Index coverage
Target pages indexed; functional pages findable
GSC, site: command
Early priority
Ensure all pages that need to rank are indexed.
2. Traffic
Metric
Purpose
Data Source
Total traffic
Growth; keyword relevance (irrelevant traffic has little value)
GA4, SEO tools
Subdirectory traffic
Per-section performance; concentration vs dispersion
SEO tools, GA4
Competitive comparison
Organic, keyword traffic, total clicks vs competitors
SEO tools
Organic by page / country
Granular breakdown
GA4, GSC
3. Keywords
Metric
Purpose
Data Source
Rank changes
Target keyword movement
GSC, SEO tools
Keyword count
New gains / losses per page
SEO tools, GSC
4. Backlinks
Metric
Purpose
Data Source
Referring domains vs backlinks
Ratio; directory links can be high volume but low value
SEO tools
Backlink quality
Do links drive traffic? Low ROI = deprioritize
SEO tools, GA4 (referral)
Natural Traffic Benchmark
Location
GA4 > Reports > Acquisition > Traffic acquisition
Review organic traffic trend
Record baseline (e.g., monthly total)
Compare periodically to detect growth or decline
Tip
Add CTA events on key articles to track content ROI (see
analytics-tracking
).
Article Database
Track per-article performance to find high/low patterns:
Field
Use
URL, publish date, target keywords
Content metadata
Index status, rank, traffic, backlinks
Performance
vs benchmark or competitors
Context
Use to guide topic selection, optimization, and resource allocation.
Tool Selection
Tool examples are illustrative; no endorsement implied.
Use
Tools
Precise attribution
GA4, GSC, Bing Webmaster, Yandex Webmaster
Visit analytics
Analytics platforms (e.g. Umami, Plausible)
Third-party estimates
SEO tools
SEO data
SEO tools
Attribution config
:
User ID
Cross-device, cross-session identification; send to GA4
GSC API
Index, clicks, impressions, coverage for automation, dashboards
Choose by privacy, cost, and team workflow.
Traffic Diversification
Principle
Guideline
Search share
Keep organic search below ~75% of total
Health
Higher direct + referral share = healthier
Brand sites
Diversified traffic is common for strong brands
Non-brand
Possible without brand (e.g., tool sites)
Reputation
Site/brand reputation matters; Google assessors evaluate it