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All lessons in Technical SEO Auditing Lesson 11.1 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

Structuring a Technical SEO Audit Report

In this lesson

  • The sections every audit report needs
  • What goes in the executive summary
  • How to order findings
  • What belongs in the appendix instead of the body

Short answer

A strong technical SEO audit report has six parts: an executive summary, scope and method, a short list of key findings, detailed findings ordered by priority, a remediation roadmap, and an appendix with URL lists and data. Keep the body short and decision-focused, and move raw data and full URL lists to the appendix.

A business owner in Iriga does not have time to read 80 pages. A developer does not want a marketing story. A good audit report serves both by putting decisions up front and details further down.

The six sections

  1. Executive summary (1 page): overall health, the 3 to 5 biggest risks, the expected benefit of fixing them, and the next step.
  2. Scope and method: domains, sections, dates, crawl settings, tools, data sources, limitations.
  3. Key findings: a table of all findings with ID, title, priority, scope, and owner.
  4. Detailed findings: one section per finding, in priority order.
  5. Remediation roadmap: what to fix now, next, and later (Lesson 11.5).
  6. Appendix: URL lists, exports, screenshots, reviewed-not-an-issue list, glossary.

Ordering findings

Order by priority score, not by audit category. Readers should meet the most important issue first, whether it is about redirects or schema. Use the category as a label.

What stays out of the body

  • Full URL lists (link them)
  • Every warning the tool produced
  • Long explanations of basic concepts (use a glossary)

Practice: body or appendix?

Sort each item into the right group.

  • Top 5 risks and next steps

  • Full list of 3,400 affected URLs

  • Finding: product pages canonicalize to HTTP

  • Raw crawl export

  • Remediation roadmap

  • Reviewed, not an issue list

Common mistakes

  • Starting with methodology instead of conclusions.
  • Ordering by tool tab instead of priority.
  • Pasting tool dashboards without interpretation.
1. What goes first in an audit report?
2. How should detailed findings be ordered?
3. Where do full URL lists go?

Your action

Next, you will document evidence and affected URLs.

Key terms

Executive summary
A one-page overview of the site's technical health, top risks, and recommended next steps for decision makers.
Scope and method
A section stating what was audited, when, with which tools and data sources.
Detailed finding
A full write-up of one issue: what, where, why, impact, evidence, and fix.
Appendix
Supporting material such as URL lists, exports, screenshots, and the false positive list.

Questions beginners ask

How long should an audit report be?

The body is often 10 to 25 pages or slides. Length should come from the number of real findings, not padding.

Document or slide deck?

Many auditors deliver both: a document or spreadsheet for developers and a short deck for stakeholders.

Should I include tool screenshots?

Include screenshots as evidence for specific findings, not full-page tool dashboards.

Should I include things that are working well?

Yes, briefly. It gives balance and confirms what the team should keep doing.

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