How it works
Prioritise findings by impact, evidence and effort; verify the outcome after a change.
Example
Example: A broken link to a main category has a different priority from a minor issue in an old post.
Common mistakes
An automated warning list is not a complete audit.
How can you check this in practice?
For each finding, record affected URLs, evidence and expected behaviour. “Article returns 500” is verifiable; “SEO is weak” is not. Prioritise by business importance and template reach, then verify the outcome using the same method.
Distinctions and limitations
An automated crawler detects technical signals but cannot independently establish product relevance or factual accuracy. An audit combines machine checks, content review and an explicitly bounded scope.
Official sources
Editorial responsibility: Martin Zhelyazkov · Founder of Z-Consult
Updated: 05/11/2026
For a correction or question: office@z-consult.bg