# Landing page audit Human Guide

## What This Is For
The Landing Page Audit skill performs comprehensive evaluations of post-click experiences, combining technical performance analysis with conversion rate optimization (CRO) assessment. It gives the agent a clearer input/output frame for conversion optimization: what context to ask for, what decisions to make, and what usable artifact to return.

Use this as a human-readable version of the Landing page audit agent skill. It is meant for marketers, operators, founders, and other non-coders who want the workflow without reading agent-specific implementation instructions.

## When To Use This
- Use this when you need a repeatable process for landing page audit.
- Use this when the task needs judgment, examples, constraints, or a clear output format rather than a one-off prompt.
- Use this when you want to hand an AI assistant enough context to produce a usable marketing artifact.

## When Not To Use This
- Do not use this when you only need a quick factual answer.
- Do not use this when the work depends on private data you cannot share with the assistant.
- Do not use this as a replacement for legal, compliance, financial, or medical review.

## What You Need Before Starting
- The goal or business outcome you want.
- The audience, customer segment, or market context.
- Any source material the assistant should respect, such as notes, briefs, examples, URLs, or brand guidance.
- Constraints such as tone, length, channel, deadline, region, or approval requirements.
- A clear definition of what a good final answer should look like.

## Step-By-Step Workflow
1. State the job clearly: "Use the Landing page audit guide to help me with..."
2. Add context: audience, goal, offer, channel, source material, and constraints.
3. Ask the assistant to identify missing inputs before producing the final output.
4. Have the assistant follow the skill-specific guidance below.
5. Review the result against the final checklist and ask for revisions where needed.

## Skill-Specific Guidance
- 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
- Target LCP under 2.5 seconds on mobile as the single most impactful speed metric
- Ensure primary CTA is visible above the fold on both mobile and desktop
- Match the exact language from your top-performing ad headlines on the landing page

## Decision Points And Nuance
The original skill emphasizes: Description, Use When, Architecture, Implementation, Integration with Buddy™ Agent, Best Practices, Platform Compatibility, Related Skills, Keywords.

Use these questions to steer the work:
- What is the intended audience or buyer?
- What source material must be preserved?
- What should the assistant optimize for: clarity, persuasion, accuracy, speed, creativity, or conversion?
- What examples represent the desired quality bar?
- What should the assistant avoid?

## Common Mistakes
- ? 'Reduce CTA options to avoid choice paralysis'
- formData.requiredFields > formData.fields.length * 0.8 && 'Mark fewer fields as required to reduce friction'
- Use a single, clear CTA per page section to avoid decision paralysis

## Copy-And-Paste Prompt
```text
Use the Landing page audit human guide.

My goal:
[Describe the business outcome]

Audience:
[Describe who this is for]

Context and source material:
[Paste notes, examples, links, or existing copy]

Constraints:
[Tone, length, channel, timeline, must-include items, must-avoid items]

Before producing the final output, ask me for any missing information that would materially improve the result.
```

## Final Checklist
- [ ] The output matches the original goal.
- [ ] The audience and context are reflected in the answer.
- [ ] Important constraints and source material were preserved.
- [ ] The assistant made the relevant decisions explicit.
- [ ] The final artifact is ready to use, review, or hand to the next person.

## Source
This guide was generated from the itallstartedwithaidea/agent-skills skill entry for `landing-page-audit`.

## Source Skill Notes
These notes preserve the nuance from the original skill. Use them as supporting reference when the workflow above feels too generic.

# 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)