CrunchWiser SEO Specialist

Tested competencies

• Diagnose complex crawl, render and indexation failures
• Plan and recover large-scale migrations
• Design crawl-efficient architectures for faceted and international sites
• Interpret performance data statistically and design credible experiments
• Diagnose ranking changes after algorithm updates without guesswork
• Build and defend an SEO strategy with forecasts and trade-offs

Certificate requirements

• Score at least 80% (24 of 30 with equal weights) within 45 minutes.
• Confirm your email address so the certificate can be tied to a persistent account.
• Retakes: 24-hour cooldown after an unsuccessful attempt, up to 3 attempts in 30 days.
• The credential does not expire.

Recommended background

Several years of SEO experience on medium to large sites, or the SEO Practitioner certificate.

Syllabus

Each attempt samples these topics according to a weighted blueprint, so no single topic dominates.

1. Complex crawl and indexation diagnostics
   Multi-signal diagnosis of pages that are discovered, crawled or indexed unexpectedly.
2. Large-scale website migrations
   Domain moves, replatforming, URL mapping and recovery.
3. Rendering and JavaScript indexing
   Render queues, hydration, and content that only exists after interaction.
4. Log-file analysis and crawl prioritization
   Using logs to measure and steer crawl allocation at scale.
5. International and multilingual architectures
   ccTLD vs subfolder vs subdomain, hreflang at scale, and locale-adaptive pages.
6. Enterprise e-commerce SEO
   Catalog scale, variant strategy, inventory churn and merchant feeds.
7. Faceted navigation and parameter management
   Controlling crawl and index of filter combinations.
8. Canonicalization at scale
   Conflicting signals across templates, CDNs and systems.
9. Advanced internal linking and information architecture
   Taxonomy design, link graph analysis and template-level linking.
10. Technical SEO incident response
    Triaging sudden losses, rollbacks and communication.
11. Statistical interpretation of SEO performance
    Variance, seasonality, significance and misleading aggregates.
12. Search experiments and causal inference
    Split tests on page groups, controls, and confounders.
13. Algorithm update diagnosis
    Separating update impact from technical, seasonal and competitive causes.
14. Entity-oriented and semantic search concepts
    Entities, knowledge graphs, disambiguation and topical relationships.
15. AI-assisted search visibility and measurement
    AI Overviews, AI Mode, LLM citations and how to measure them.
16. Structured data at scale
    Template-driven markup, governance, and monitoring for errors.
17. Complex site architecture trade-offs
    Weighing crawl efficiency, UX, engineering cost and business constraints.
18. SEO strategy, prioritization, and forecasting
    Opportunity sizing, prioritisation frameworks and honest forecasting.