Individual skill
landing-page-auditor
Audits any landing or service page across 48 checks in 10 categories for LLM/AI discoverability, GEO readiness, content clarity, schema markup, internal linking, freshness signals, and technical crawlability. Produces an overall score out of 100, a per-category score out of 100, pass/warn/fail/ manual counts, and a prioritised fix list — all rendered as a standalone HTML report saved to disk. Use when a user provides a URL and asks to audit it, score it, check its GEO readiness, test its AI discoverability, run a landing page audit, or evaluate it for LLM citation potential. Also trigger on phrases like "audit this page", "score this URL", "check GEO for", "is this page AI-ready", "run a GEO audit", "LLM page check", "how would AI read this page", or "landing page score".
web-design/landing-page-auditor/SKILL.md
Source commit 02cfefb3a213041de8b80bc659ebc5f17b5e746a
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 6, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 162
- Repository last updated
- Jun 28, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-citation Repository topic
- ai-visibility Repository topic
- claude Repository topic
- claude-skills Repository topic
- geo Repository topic
- skills Repository topic
- dev-gtm Repository topic
- writing Derived category
- security Derived category
- testing Derived category
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SKILL.mdcore · 26,889 bytesSKILL.mdcore · 26,889 bytesreferences/html-template.mddoc · 30,759 bytes
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# Landing Page GEO & LLM Auditor
Audits any landing or service page across 48 checks in 10 categories. Given a URL, fetch all required
data, grade every check, calculate scores per category and overall, then render a standalone HTML report.
---
## Step 0 — Parse and Confirm the URL
If the user provided a URL in the invocation arguments, use it directly. If not, ask:
> "Please provide the URL of the page you'd like to audit."
**Normalisation rules:**
- Ensure the URL starts with `https://`