---
name: landing-page-copy-audit
description: Score landing page copy on clarity, CTA strength, and conversion fundamentals — deliver a prioritized rewrite plan in one pass.
title: Landing Page Copy Audit
category: design-media
difficulty: intermediate
license: CC-BY-4.0
author: admin
icon: 🎯
input: text
output: structured-json
phase: post
domain: design
tags: landing-page-copy,conversion-copywriting,cta-audit,rubric-based-scoring,weasel-word-detection,value-proposition,copy-rewrite,audience-specificity,urgency-signaling,reproducible-feedback
best_for:
  - SaaS landing page optimization
  - E-commerce product page copy audit
  - B2B conversion copywriting review
  - Iterative copy testing and scoring
  - Sales page CTA strength evaluation
---

## Description

Paste a landing page hero, subhead, feature bullets, and primary CTA. The skill scores each line on a five-criterion rubric (value-prop clarity, audience specificity, urgency, CTA action verb, weasel-word count) and returns a rewrite of anything below threshold.

## Why it works

Landing page copy is governed by a small, knowable rubric. Once the criteria are pinned down — clarity, specificity, urgency, CTA strength, weasel-word density — an LLM with strict scoring instructions will outperform a casual human review because it is forced to commit to a number per criterion rather than hedge. The numeric scores turn the rewrite into a targeted patch, not a generic "punch this up" pass.

The audit is also reproducible: the same input produces the same scores, so you can iterate on a draft and see the score move.

## How it works

## Prompt

```
You are a conversion copywriter. Audit the landing page copy below against this rubric. Score each criterion 1–5 with one reason. Then rewrite any line scoring below 4.

Rubric:
1. Value-prop clarity — does the visitor understand what they get in 5 seconds?
2. Audience specificity — is the target persona unambiguous?
3. Urgency — is there a concrete reason to act now (not manufactured)?
4. CTA verb strength — is the button verb specific and direct?
5. Weasel density — count hedges ("maybe", "could", "helps you") per 100 words. Lower is better.

Output JSON:
{
  "scores": {"clarity": n, "specificity": n, "urgency": n, "cta_verb": n, "weasel_density": n},
  "rewrites": [{"original": "...", "rewrite": "..."}],
  "biggest_miss": "one sentence"
}

Copy:
<paste your hero, subhead, feature bullets, CTA>
```

## Tips

- Run it three times with different model seeds if you can; average the scores.
- Do not ask the model to rewrite anything scoring 4+ — the marginal gain isn't worth introducing noise.
- Pair this with a second pass using **Editorial Style Matcher** once you have the rewrites, to keep voice consistent.