Overview
A structured sweep of crawl, index, render, structured-data and speed health, prioritised by visibility impact.
Business problem
Technical audits produce a flat list of hundreds of issues with no sense of which actually cost visibility.
Decision supported
Which technical issues to fix first.
Inputs & outputs
Inputs
- Crawl data
- Index coverage
- Render checks
- Core Web Vitals
- robots and sitemap
Outputs
- Prioritised technical issue list
- Impact estimate per issue
Step-by-step process
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1
Crawl
Confirm engines and AI bots can reach every important page.
-
2
Index
Verify important pages are indexed and unimportant ones are not.
-
3
Render
Check content renders without JavaScript failures.
-
4
Prioritise
Rank issues by pages affected × value × severity.
Maturity model
-
L1
Flat list
Issues dumped without priority.
-
L2
Categorised
Issues grouped by type.
-
L3
Prioritised
Ranked by visibility impact.
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L4
Continuous
Technical health monitored ongoing.
KPIs
- Indexation rate
- Critical issues open
- Core Web Vitals pass rate
Common mistakes
- Fixing cosmetic issues first
- Ignoring AI-crawler access
- Treating all issues as equal
SearchScore insight
Recommended next steps
Where this fits - and what's next
The SearchScore path from a problem you feel to visibility you can measure.