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All lessons in Technical SEO Auditing Lesson 5.5 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

Pagination and Faceted Navigation

Your roadmap for this lesson

  • How Google handles paginated pages today
  • How faceted filters create huge numbers of URLs
  • How to decide which filter combinations to index
  • The controls available for unwanted filter URLs

Short answer

Paginated pages should be crawlable, indexable, linked with normal links, and carry self-referencing canonicals. Faceted navigation filters can create millions of URL combinations, so index only filters that match real searches, like 'red running shoes,' and keep the rest out with canonicals, noindex, robots.txt rules, or links that crawlers cannot follow.

A Manila sneaker shop has 8 filters: brand, size, color, price, gender, sport, sale, and sort. If each can combine with the others, one category can produce hundreds of thousands of URLs. Most will never be searched. Some, like “Nike running shoes for women,” are valuable.

Pagination: keep it simple

Google treats each paginated page as a normal page. Check that:

  • Pages use real <a href> links to the next pages.
  • Each page has a self-referencing canonical (not to page 1).
  • Pages are indexable.
  • Titles can include “Page 2” to avoid duplicates.
  • Infinite scroll has paginated URLs behind it.

Faceted navigation: choose carefully

Audit filters in three steps:

  1. Measure: crawl a category with no exclusions and a URL limit. Count URLs by filter parameter.
  2. Check demand: which filter combinations match real searches? Use keyword tools and Search Console queries.
  3. Assign handling:
    • Index: valuable single filters (brand, main color, type). Give them clean URLs, unique titles, and internal links.
    • Canonical to the parent: low-value single filters.
    • noindex or robots.txt block: multi-filter combinations, sort, price ranges.
    • Not crawlable links: many sites render minor filters with buttons or forms so crawlers do not follow them.

Practice: index or keep out?

Sort each item into the right group.

  • /running-shoes/nike/

  • ?color=red&size=9&sort=price_asc

  • /running-shoes/?page=2

  • ?price=1500-2299

  • /running-shoes/women/

  • ?sort=newest

Common mistakes

  • Canonicalizing every paginated page to page 1.
  • Letting all filters be crawlable and indexable.
  • Blocking valuable filters that match real searches.
  • Filter pages with zero products returning 200 (soft 404s, Lesson 3.7).
1. What canonical should page 3 of a category have?
2. Which filter is most likely worth indexing?
3. What is index bloat?

Your action

Next, you will choose the right canonicalization strategy for each duplicate type.

Key terms

Pagination
Splitting a list of items across several pages, such as /shoes/?page=2.
Faceted navigation
Filters on listing pages, like brand, size, color, or price, that users can combine.
Index bloat
Large numbers of low-value URLs in the index, which dilute crawling and site quality signals.
rel=prev/next
Old pagination markup Google no longer uses for indexing. Harmless to keep, but not a fix.

Questions beginners ask

Should page 2 and beyond be noindexed?

Usually not. Noindexed pagination can stop Google from reaching products listed deeper.

Should 'view all' pages be used?

They can work if they load fast. Then paginated pages can canonical to the view all page.

Which filters should be indexable?

Filters with search demand and enough products, such as brand or category plus color. Check keyword data before deciding.

What about infinite scroll?

Back it with paginated URLs that load with plain links, so crawlers can reach every item.

Related lessons

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