I'm building a dashboard for technical SEO issues across multiple subdomains what should I use?

For a technical SEO dashboard across multiple subdomains, the best choice is usually a stack that combines:

1. Data collection from crawlers + search tools
2. A warehouse/modeling layer
3. A BI/dashboard layer

Best overall setup

If you want flexibility and scale:

• Data source: Screaming Frog, Sitebulb, Google Search Console, GA4, server logs
• Warehouse: BigQuery, Snowflake, or Postgres
• Dashboard: Looker Studio, Power BI, Tableau, or Metabase

This gives you:

• one place to unify all subdomains
• historical trend tracking
• custom issue scoring
• filters by subdomain, template, issue type, crawl date, priority

Best tool choices by use case

1. Fastest to build / lowest cost

Looker Studio + Google Sheets/BigQuery

• Good if you already use Google tools
• Easy to share with stakeholders
• Works well for SEO issue summaries and trends

Best for: small-to-mid teams, quick dashboarding

2. Best for internal analytics and self-serve

Power BI

• Strong data modeling
• Good if your org already uses Microsoft
• Handles multiple data sources well

Best for: larger teams, enterprise reporting

3. Best open-source option

Metabase + Postgres/BigQuery

• Easy to use
• Lower cost than commercial BI tools
• Good filtering and drilldowns

Best for: technical teams wanting control without high licensing cost

4. Best for custom SEO ops dashboards

BigQuery + Looker / Tableau / custom app

• Ideal if you want a robust issue pipeline
• Can combine crawl data, logs, GSC, CWV, indexation, and ownership data
• Best for automated alerts and issue prioritization

Best for: advanced SEO programs with many subdomains

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What to track in the dashboard

For technical SEO across subdomains, I’d include:

• Indexability
  • noindex
  • robots blocked
  • canonical issues
  • redirect chains
  • 4xx/5xx pages
• Crawlability
  • orphan pages
  • depth
  • internal link count
  • broken internal links
• Metadata
  • missing titles/meta descriptions
  • duplicate titles
  • duplicate H1s
• Performance
  • Core Web Vitals
  • page speed
• XML sitemaps
  • submitted vs indexed
  • sitemap errors
• Subdomain comparisons
  • issue counts by subdomain
  • trend over time
  • severity score by subdomain

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My recommendation

If you’re starting from scratch:

• Use Screaming Frog/Sitebulb for crawl data
• Store data in BigQuery or Postgres
• Build the dashboard in Looker Studio or Metabase

Simple recommendation by maturity:

• Small team: Looker Studio
• Technical team: Metabase
• Enterprise: Power BI / Tableau
• Advanced SEO platform: BigQuery + custom BI

If you want, I can recommend a specific stack based on your budget, team size, and whether you need automated crawling.