landing-page-audit

这段内容是审核时保存的快照。外部来源才是完整且最新的版本。

---
name: landing-page-audit
description: >-
  The Landing Page Audit skill performs comprehensive evaluations of post-click experiences, combining technical performance analysis with conversion rate optimization (CRO) assessment.
---

# Landing Page Audit

Part of [Agent Skills™](https://github.com/itallstartedwithaidea/agent-skills) by [googleadsagent.ai™](https://googleadsagent.ai)

## Description

The Landing Page Audit skill performs comprehensive evaluations of post-click experiences, combining technical performance analysis with conversion rate optimization (CRO) assessment. Landing page quality directly impacts Google Ads Quality Score, conversion rates, and ultimately the profitability of every advertising dollar. This skill audits the three pillars of landing page effectiveness: speed, relevance, and persuasion.

Technical performance analysis centers on Core Web Vitals — Largest Contentful Paint (LCP), First Input Delay (FID) / Interaction to Next Paint (INP), and Cumulative Layout Shift (CLS). Google uses these metrics as direct signals for landing page experience scoring. The skill measures real-world performance across devices, identifies render-blocking resources, analyzes critical rendering paths, and produces actionable speed optimization recommendations with estimated Quality Score impact.

The relevance and CRO layer evaluates message match between ad copy and landing page content, assesses call-to-action clarity and prominence, analyzes form design and friction points, checks mobile responsiveness, evaluates trust signals (reviews, certifications, security indicators), and benchmarks conversion elements against industry-specific best practices. The output is a scored assessment with prioritized improvement recommendations ranked by expected conversion rate impact.

## Use When

- User asks for a "landing page audit" or "page review"
- User mentions "landing page experience" Quality Score component
- User wants to "improve conversion rate" or "CRO analysis"
- User asks about "page speed" or "Core Web Vitals"
- User mentions "low conversion rate" on specific pages
- User wants to "improve Quality Score" landing page component
- User asks about "mobile landing page" performance
- User mentions "message match" between ads and landing pages
- User wants "form optimization" or "CTA optimization" advice

## Architecture

```mermaid
flowchart TD
    A[Landing Page URL] --> B[Parallel Analysis Pipeline]

    B --> C[Technical Performance]
    B --> D[Content & Relevance]
    B --> E[CRO Assessment]

    C --> C1[Core Web Vitals\nLCP, INP, CLS]
    C --> C2[Page Speed\nTTFB, FCP, SI]
    C --> C3[Resource Analysis\nRender-blocking, Images]
    C --> C4[Mobile Performance\nViewport, Touch Targets]

    D --> D1[Message Match Scoring\nAd Copy vs Page Content]
    D --> D2[Keyword Relevance\nTarget Keywords in Content]
    D --> D3[Content Quality\nReadability, Depth]
    D --> D4[SEO Alignment\nMeta Tags, Headers]

    E --> E1[CTA Analysis\nVisibility, Clarity, Urgency]
    E --> E2[Form Audit\nField Count, Friction]
    E --> E3[Trust Signals\nReviews, Badges, Social Proof]
    E --> E4[Visual Hierarchy\nAbove-Fold Content, Layout]

    C1 --> F[Scoring Engine]
    C2 --> F
    C3 --> F
    C4 --> F
    D1 --> F
    D2 --> F
    D3 --> F
    D4 --> F
    E1 --> F
    E2 --> F
    E3 --> F
    E4 --> F

    F --> G[Overall Landing Page Score]
    G --> H[Prioritized Recommendations]
    G --> I[Estimated QS Impact]
    G --> J[Estimated CVR Improvement]
```

## Implementation

Core Web Vitals and technical performance analysis:

```javascript
async function auditLandingPage(url, config) {
  const { adCopyText, targetKeywords, device = 'both' } = config;

  const [technical, content, cro] = await Promise.all([
    runTechnicalAudit(url, device),
    runContentAudit(url, adCopyText, targetKeywords),
    runCROAudit(url, device)
  ]);

  const overallScore = calculateOverallScore(technical, content, cro);

  return {