AI Website Recommendations: What to Fix First

What is AI Recommendations?

Traditional audit tools hand you numbers and warnings. Pagelyt goes further. Its AI recommendation engine turns technical findings into explanations a non-technical owner can understand and a developer can act on.

Every recommendation answers four questions: what was detected, why it matters, how important it is and what to do next. Evidence snippets show exactly what Pagelyt saw, and priority labels help you decide where to start.

What Pagelyt checks

What was detected
Why it matters
How important it is
What to do next
Evidence and examples
Priority, impact and effort

AI recommendation

Security · yourwebsite.com

High priority

Important security headers are missing

Your website does not currently return certain recommended security headers.

Evidence

GET / → 200
strict-transport-security: not set
content-security-policy: not set

Impact

High

Effort

Low

Score gain

+6

Recommended action: review and configure HTTP security headers in your hosting environment.

What you get

Three ways AI Recommendations helps you run a better website, from your first scan.

Analyse My Website

Plain EnglishNo jargon, just explanations anyone can follow.
PrioritisedHigh-impact fixes come before minor ones.
ActionableEvery issue includes a recommended action.

Questions about ai recommendations

How does Pagelyt prioritise recommendations?

By estimated impact on your score and the effort to fix, so quick, high-impact wins come first.

Can I share recommendations with a developer?

Yes. Reports include evidence and suggested actions, and PDF downloads are available on paid plans.

Related features

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