Technical SEO Audit Case Study
A sanitized technical SEO case-study frame for turning crawl evidence into implementation work.
This case study describes a public method and sample artifacts. It does not expose private client records or claim private traffic movement, rankings, revenue impact, or AI-search citation gains.
Case Study Steps
Crawl evidence before recommendations
Collect raw URLs, rendered content, robots and sitemap signals, canonical tags, indexability directives, internal links, and template patterns before writing fixes.
Separate observations from interpretation
A missing canonical, low inlink count, or noindex directive is recorded as evidence first. Impact and priority are added only after the pattern is reviewed across the crawl.
Prioritize implementation paths
Findings become a short action list: consolidate duplicate templates, repair canonical targets, strengthen hubs, preserve crawl paths, and document owner-ready tasks.
Keep claim boundaries visible
The case study describes the method and sample artifacts. It does not claim private traffic movement, rankings, revenue impact, or AI-search citation gains.
Evidence Chain
Observed field
Status code, crawl depth, inlinks, outlinks, canonical state, and indexability.
Interpreted risk
Duplicate templates, weak hub copy, missing canonical targets, soft-404 risk, or crawl-depth waste.
Implementation action
Repair canonicals, strengthen internal links, consolidate pages, update templates, and document ownership.
Review artifact
Sanitized CSV, issue list, method page, source graph, and intake path for next review.
Contextual Links
See an Atlas sample crawl run
A sanitized crawl table showing URL status, indexability, links, canonicals, and issue notes.
Read the technical SEO audit method
The process page for crawl, diagnose, repair, and measure work.
View the GitHub repo for the audit CLI
Public scraper and audit-system code evidence.
Request an audit
Technical SEO, AI-search visibility, and site-systems intake.
Read the finance/data memo with assumptions
Educational research artifacts with source-table and claim-boundary notes.