Build SEO data analysis system

Build holistic SEO data analysis system

Content marketers and SEO leads who own 50+ articles and need to identify high/low performers and guide future topic selection.

• · Four core metrics baseline: pages indexed, traffic, keywords, backlinks
• · Natural traffic baseline (GA4 organic traffic)
• · Article database structure

• · Monthly SEO benchmark report
• · Per-article performance tracking (indexing, rank, traffic, backlinks)
• · Trend comparison vs prior months
• · Penalty recovery workflow if needed

• · GA4 (Traffic acquisition report)
• · Google Search Console (GSC, site: command)
• · SEO tools (rank tracking, backlink analysis)
• · Analytics platforms (Umami, Plausible optional)
• · Bing Webmaster, Yandex Webmaster optional

• · Website traffic established (at least 1-2 months of data)
• · GA4 configured with organic traffic segment
• · GSC connected

• · Keyword count and per-page performance vary by SEO tool; no single source of truth
• · Backlink quality is subjective; traffic correlation is imperfect
• · Article database requires manual curation to stay current
• · Trend comparison needs monthly discipline; missing months create gaps

• · Four core metrics table with purpose and data source for each
• · Natural traffic benchmark workflow (review trend, record baseline, compare periodically)
• · Article database schema (URL, publish date, target keywords, index status, rank, traffic, backlinks, competitor comparison)
• · Tool selection guidance by use (precise attribution, visit analytics, third-party estimates, SEO data)
• · Attribution config section (User ID, GSC API, privacy trade-offs)
• · Traffic diversification principles (keep organic <75%, health, brand reputation)