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All lessons in Technical SEO Auditing Lesson 8.7 of 84

Module 1: Introduction to Technical SEO Auditing

  1. 1.1What Is a Technical SEO Audit?
  2. 1.2Technical SEO Audit vs. General SEO Audit
  3. 1.3When Should You Audit a Website?
  4. 1.4Types of Technical SEO Issues
  5. 1.5Defining Audit Scope and Objectives

Module 2: Website Crawling and URL Discovery

  1. 2.1How SEO Crawlers Discover URLs
  2. 2.2Configuring a Website Crawl
  3. 2.3Crawl Scope, Limits, and Exclusions
  4. 2.4Internal Links and Crawl Depth
  5. 2.5Orphan Pages and URL Discovery
  6. 2.6Crawl Data vs. Search Engine Data
  7. 2.7Identifying Crawl Coverage Gaps

Module 3: HTTP Status Codes and Redirect Auditing

  1. 3.1Understanding HTTP Status Codes
  2. 3.2Finding 4xx Errors and Broken Links
  3. 3.3Identifying 5xx Server Errors
  4. 3.4Redirect Chains and Redirect Loops
  5. 3.5Internal Links to Redirected URLs
  6. 3.6301 vs. 302 Redirects
  7. 3.7Auditing 404 Pages and Soft 404s

Module 4: Crawlability and Indexability Auditing

  1. 4.1Crawling vs. Indexing
  2. 4.2Robots.txt Audit
  3. 4.3Meta Robots and X-Robots-Tag
  4. 4.4Noindex and Canonical Conflicts
  5. 4.5XML Sitemap Validation
  6. 4.6Canonical URL Auditing
  7. 4.7Identifying Indexability Conflicts
  8. 4.8Comparing Crawl Data with Google Search Console

Module 5: URL Structure and Duplicate Content Issues

  1. 5.1URL Structure and Normalization
  2. 5.2Duplicate URLs and Duplicate Pages
  3. 5.3HTTP vs. HTTPS and Hostname Variations
  4. 5.4Trailing Slashes and URL Parameters
  5. 5.5Pagination and Faceted Navigation
  6. 5.6Canonicalization Strategies
  7. 5.7Internal Linking to Preferred URLs

Module 6: Technical On-Page Auditing

  1. 6.1Missing and Duplicate Title Tags
  2. 6.2Missing and Duplicate Meta Descriptions
  3. 6.3Missing, Duplicate, and Multiple H1 Headings
  4. 6.4Heading Hierarchy and HTML Structure
  5. 6.5Missing Image Alt Attributes
  6. 6.6Internal Link and Anchor Text Issues
  7. 6.7Empty, Thin, and Near-Duplicate Pages
  8. 6.8Auditing HTML Metadata at Scale

Module 7: Website Performance and Core Web Vitals

  1. 7.1Core Web Vitals: LCP, INP, and CLS
  2. 7.2Lab Data vs. Field Data
  3. 7.3Identifying Slow Pages
  4. 7.4Image and Resource Optimization Opportunities
  5. 7.5JavaScript and CSS Performance
  6. 7.6Mobile Usability and Responsive Rendering
  7. 7.7Prioritizing Performance Fixes

Module 8: JavaScript SEO and Rendering

  1. 8.1How Search Engines Process JavaScript
  2. 8.2HTML Source vs. Rendered HTML
  3. 8.3Client-Side vs. Server-Side Rendering
  4. 8.4JavaScript-Generated Content and Links
  5. 8.5Rendering Failures and Missing Content
  6. 8.6Lazy Loading and Crawl Accessibility
  7. 8.7Diagnosing JavaScript SEO Problems

Module 9: Structured Data and Schema Auditing

  1. 9.1Structured Data and Schema.org Basics
  2. 9.2JSON-LD and Structured Data Formats
  3. 9.3Finding Structured Data Across a Website
  4. 9.4Detecting Invalid or Incomplete Markup
  5. 9.5Schema Validation and Rich Result Eligibility
  6. 9.6Conflicting or Duplicate Structured Data
  7. 9.7Prioritizing Schema Fixes

Module 10: Analyzing Audit Data and Prioritizing Issues

  1. 10.1Reading Crawl Reports and Exports
  2. 10.2Grouping URLs by Issue Type
  3. 10.3Identifying Root Causes vs. Symptoms
  4. 10.4Evaluating Severity, Impact, and Effort
  5. 10.5Separating Sitewide and Isolated Issues
  6. 10.6Identifying False Positives
  7. 10.7Building an Actionable Issue Register

Module 11: Technical SEO Audit Reporting

  1. 11.1Structuring a Technical SEO Audit Report
  2. 11.2Documenting Evidence and Affected URLs
  3. 11.3Writing Developer-Ready Recommendations
  4. 11.4Mapping Issues to Business and Search Impact
  5. 11.5Creating a Prioritized Remediation Roadmap
  6. 11.6Presenting Findings to Stakeholders
  7. 11.7Tracking Fixes and Ownership

Module 12: Fix Verification and Technical QA

  1. 12.1Re-Crawling After Fixes
  2. 12.2Comparing Before-and-After Crawl Results
  3. 12.3Verifying Redirects, Canonicals, and Indexability
  4. 12.4Detecting Regressions and Newly Introduced Issues
  5. 12.5Testing Website Changes Before Deployment
  6. 12.6Confirming Fixes with Search Console and Other Evidence
  7. 12.7Closing Audit Findings and Recording Results

Diagnosing JavaScript SEO Problems

Covered here

  • A repeatable JavaScript SEO diagnosis workflow
  • Which tool answers which question
  • How to confirm a problem with Google's data
  • How to write a clear JavaScript SEO recommendation

Short answer

Diagnose JavaScript SEO problems in six steps: check the raw HTML, check the rendered HTML, test the page as Googlebot with URL Inspection, compare text-only and rendered crawls, confirm what Google indexed with quoted searches and the Pages report, then report the cause per template with evidence and a server-rendered fix.

JavaScript SEO problems can feel mysterious because the site looks perfect in a browser. The way through is a fixed routine. Use the same six steps every time, and the cause usually shows up by step four.

The six-step workflow

Step 1 of 6

1. Check the raw HTML

View Source. Are the title, canonical, meta robots, H1, main content, and key links present? Note what is missing.

A sample finding

Template: Tour detail pages (412 URLs) Issue: Itinerary and prices load from /api/tours, blocked by robots.txt. Evidence: URL Inspection shows “Couldn’t be loaded” for the API, tested HTML has no prices, quoted searches return nothing. Fix: Allow /api/tours in robots.txt now. Server-render itinerary and prices next sprint. Verify: Retest URL Inspection, recrawl rendered, monitor indexing for 4 weeks.

Common mistakes

  • Skipping straight to “use SSR.” Find the actual cause first.
  • Reporting without Googlebot evidence. Developers will test in their own browsers and see no problem.
  • Not separating quick fixes from long-term fixes.
1. What is the first step in diagnosing JavaScript SEO?
2. Why include URL Inspection evidence?
3. What does progressive enhancement mean?

Your action

You have finished Module 8. In Module 9, you will audit structured data and schema markup.

Key terms

Diagnosis workflow
A fixed sequence of checks that moves from symptom to cause.
Evidence
Screenshots, HTML snippets, crawl comparisons, and Search Console data supporting a finding.
Template-level cause
The component or route responsible for the issue across many URLs.
Progressive enhancement
Building core content and links in HTML first, then adding JavaScript features on top.

Questions beginners ask

What is the first sign of a JavaScript SEO problem?

Usually pages crawled but not indexed, missing content in search snippets, or far fewer URLs discovered than expected.

Do I need developer skills to diagnose?

No. You need to compare HTML versions and read tool outputs. Developers handle the fix.

Should every site switch to SSR?

No. Recommend SSR or static generation for templates where content or links fail. Interactive features can stay client-side.

How do I verify the fix?

Rerun the same six steps after deployment, then watch indexing and impressions over the following weeks.

Related lessons

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