SEO & Analytics Setup
Technical audits, on-page optimization, GA4 configuration, and conversion tracking.
Overview
Search engine optimization and analytics configuration require methodical setup with verification at each step. A missed canonical tag, an unsubmitted sitemap, or a misconfigured GA4 event can undermine months of content work. Datarim's pipeline ensures that technical SEO, on-page optimization, and analytics are set up in the right order, verified individually, and cross-checked before declaring the work complete. The structured approach prevents the common pitfall of optimizing content before fixing crawlability issues.
Example: SEO Audit and Optimization for a SaaS Website
A SaaS company needs a comprehensive SEO audit followed by technical fixes, on-page optimization, and analytics setup including GA4 and Google Search Console configuration.
Pipeline Walkthrough
| Stage | What happens |
|---|---|
| /dr-init | Scope: technical SEO audit + on-page optimization + analytics setup. Complexity: L2 |
| /dr-prd | Requirements: target keywords, competitor analysis, Google Search Console access, GA4 property, Core Web Vitals targets |
| /dr-plan | Phases: 1) technical audit (crawlability, indexing, sitemap), 2) on-page SEO (meta, headings, structured data), 3) GA4 + GSC setup, 4) conversion tracking |
| /dr-do | Execute phase by phase. Validate each change with PageSpeed Insights and Search Console |
| /dr-qa | Verify: sitemap submitted, robots.txt correct, structured data validates, GA4 events firing, no broken canonical tags |
| /dr-archive (Step 0.5) | Note: fixing Core Web Vitals before content optimization improved crawl budget allocation |
Key Benefits
- Correct order of operations — technical SEO (crawlability, indexing) is fixed before on-page optimization, preventing wasted effort
- Verification at every step — each change is validated with PageSpeed Insights and Search Console before moving to the next
- Analytics accuracy — GA4 events and conversion tracking are verified as firing correctly, not just configured
- Structured data validation — QA catches schema markup errors before Google processes them
Relevant Agents
Which agents are most active in this use case:
- Developer — technical SEO fixes, structured data implementation, tracking pixel setup
- Reviewer — verification of sitemaps, canonical tags, robots.txt, and analytics events
- Planner — audit planning and phase sequencing
Complexity Routing
How complexity levels apply to SEO and analytics:
- L1 — Fix a broken canonical tag or update a meta description
- L2 — Full technical SEO audit with on-page optimization and GA4 setup
- L3 — Multi-locale SEO with hreflang tags, locale-specific sitemaps, and cross-domain analytics
- L4 — Enterprise SEO migration (domain change or CMS migration) with redirect mapping, traffic preservation, and multi-property analytics