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Ad To Landing Page Auditor

OrganizationPopular
gooseworks-ai
ad-to-landing-page-auditor

Analyze the message match between your ads and landing pages. Checks if the promise in the ad copy carries through to the landing page headline, body, and CTA. Flags disconnects that kill conversion rates. Works with Google, Meta, and LinkedIn ads.

Overview

Publishergooseworks-ai
Repositorygoose-skills
Skill namead-to-landing-page-auditor
Stars
1.2K
Forks
208
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by gooseworks-ai on GitHub. Read the source before you install it.

Installation

Install the Ad To Landing Page Auditor AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git /tmp/goose-skills
mkdir -p .claude/skills
cp -r /tmp/goose-skills/skills/ads/composites/ad-to-landing-page-auditor .claude/skills/ad-to-landing-page-auditor
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ad To Landing Page Auditor in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ad To Landing Page Auditor on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ad To Landing Page Auditor is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Ad-to-Landing Page Auditor

The #1 reason ads get clicks but not conversions: the landing page doesn't deliver on the ad's promise. This skill audits the full click path — from ad copy to landing page experience — and flags every disconnect.

Core principle: A great ad with a mismatched landing page is worse than a mediocre ad with a matched one. Message match is the single biggest conversion lever most startups ignore.

When to Use

  • "Why are my ads getting clicks but no conversions?"
  • "Audit my ad-to-landing page flow"
  • "Check message match on our campaigns"
  • "My conversion rate is low — help me figure out why"
  • "Review our landing pages for our ad campaigns"

Phase 0: Intake

  1. Ad copy — For each ad, provide:
    • Headline(s)
    • Body / description text
    • CTA text
    • Platform (Google Search / Meta / LinkedIn)
  2. Landing page URLs — The URL each ad points to
  3. Conversion goal — What should happen after someone clicks? (Demo / Trial / Purchase / Download)
  4. Known conversion rates? — Current click → conversion rate per ad/LP (if available)

If the user has a CSV export from their ad platform, parse that instead.

Phase 1: Ad Inventory

Parse the provided ads into:

Ad IDPlatformHeadlineBody/DescriptionCTALanding Page URLConv Rate (if known)

Phase 2: Landing Page Audit

For each unique landing page URL, fetch the page content:

fetch_webpage: [landing_page_url]

If fetch_webpage is not available, use curl to retrieve the page HTML.

Extract and score:

2A: Content Elements

ElementFound?Content
Hero headline[Y/N]"[Text]"
Subheadline[Y/N]"[Text]"
Primary CTA[Y/N]"[Button text]"
CTA above fold[Y/N]
Social proof[Y/N][Logos / testimonials / metrics]
Benefit list[Y/N][Key benefits listed]
Form / Sign-up[Y/N][Field count: N]
Video[Y/N]
Trust signals[Y/N][Security badges, guarantees]

2B: Message Match Scoring

For each ad → landing page pair, score on:

DimensionScore (1-10)Criteria
Promise continuity[X]Does the LP headline deliver on the ad's promise?
Language match[X]Does the LP use the same words/phrases as the ad?
Visual continuity[X]Does the LP feel like a continuation of the ad? (Not assessable for search)
CTA alignment[X]Does the LP's ask match what the ad implied?
Specificity match[X]If the ad was specific ("for sales teams"), is the LP specific too?
Emotional match[X]If the ad used fear/urgency, does the LP carry that forward?

Message Match Score: [Average/60]

Scoring Guide

ScoreRatingMeaning
50-60ExcellentStrong match — LP delivers on every ad promise
40-49GoodMinor disconnects but overall coherent
30-39Needs workNoticeable gaps — visitor has to hunt for relevance
20-29PoorAd and LP feel like different products
Below 20CriticalComplete mismatch — fix immediately

Phase 3: Conversion Friction Analysis

Beyond message match, assess landing page conversion friction:

Friction TypeCheckStatus
Load timeDoes the page feel heavy/slow? (Asset count proxy)[Fast/Slow/Unknown]
Form lengthHow many fields before conversion?[N fields] — [Appropriate/Too many]
CTA clarityIs there one clear CTA or competing actions?[Clear/Cluttered]
Above-fold conversionCan someone convert without scrolling?[Yes/No]
Social proof placementIs proof near the CTA?[Yes/No]
Navigation distractionDoes the LP have full site nav? (Should be minimal)[Minimal/Full nav]
Mobile experienceAny mobile-unfriendly elements?[Good/Issues]

Phase 4: Output Format

markdown
# Ad-to-Landing Page Audit — [Product/Client] — [DATE]

Ads audited: [N]
Unique landing pages: [N]
Platform(s): [Google / Meta / LinkedIn]
Overall message match: [Score/60] — [Rating]

---

## Executive Summary

[3-4 sentences: Overall finding, biggest disconnect, top recommendation, estimated conversion impact]

---

## Audit Results by Ad → Landing Page Pair

### Ad 1: "[Ad headline excerpt]"
**Platform:** [Google Search / Meta / LinkedIn]
**Ad copy:**
> Headline: "[text]"
> Body: "[text]"
> CTA: "[text]"

**Landing page:** [URL]
> LP headline: "[text]"
> LP subhead: "[text]"
> LP CTA: "[button text]"

**Message Match Score: [X/60] — [Rating]**

| Dimension | Score | Issue |
|-----------|-------|-------|
| Promise continuity | [X/10] | [Specific finding] |
| Language match | [X/10] | [Specific finding] |
| CTA alignment | [X/10] | [Specific finding] |
| Specificity match | [X/10] | [Specific finding] |
| Emotional match | [X/10] | [Specific finding] |

**Disconnect found:** [Specific description of mismatch]
**Recommended fix:** [Specific change to ad or LP]

### Ad 2: ...

---

## Landing Page Friction Report

### [Landing Page URL]
| Friction Point | Status | Impact | Fix |
|---------------|--------|--------|-----|
| [Friction] | [Red/Yellow/Green] | [High/Med/Low] | [Specific fix] |

---

## Priority Fixes

### Critical (Fix This Week)
1. **[Ad/LP pair]:** [Specific mismatch] → [Specific fix]
   - Est. conversion impact: [X% improvement]

### Important (Fix This Month)
2. **[Issue]:** [Fix]

### Nice-to-Have
3. **[Issue]:** [Fix]

---

## Rewrite Suggestions

### For [Ad or LP with worst match]:

**Current ad headline:** "[current]"
**Suggested ad headline:** "[rewrite that matches LP]"

OR

**Current LP headline:** "[current]"
**Suggested LP headline:** "[rewrite that matches ad]"

Save to ad-lp-audit-[YYYY-MM-DD].md in the current working directory (or user-specified path).

Cost

ComponentCost
Landing page fetchingFree
AnalysisFree (LLM reasoning)
TotalFree

Tools Required

  • fetch_webpage or curl — for landing page analysis
  • No API keys required

Trigger Phrases

  • "Audit my ad-to-landing page match"
  • "Why is my conversion rate so low?"
  • "Check message match on our campaigns"
  • "Do our landing pages match our ads?"
  • "Run a CRO audit on our ad funnels"

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Ad To Landing Page Auditor AI skill do?

Analyze the message match between your ads and landing pages. Checks if the promise in the ad copy carries through to the landing page headline, body, and CTA. Flags disconnects that kill conversion rates. Works with Google, Meta, and LinkedIn ads.

Why use Ad To Landing Page Auditor on TypingMind?

Because you install it once and use it with any model. Ad To Landing Page Auditor is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ad To Landing Page Auditor in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/composites/ad-to-landing-page-auditor. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Ad To Landing Page Auditor?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ad To Landing Page Auditor?

As many as you like. As long as a model supports skills, you can use Ad To Landing Page Auditor with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ad To Landing Page Auditor AI skill free?

Yes. It is published on GitHub by gooseworks-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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