AI SkillAudit PairsMarketingby Gooseworks

Ad-to-LP Auditor — fix the #1 conversion killer

Runs on
ClaudeClaudeChatGPTChatGPTOpenClawOpenClaw

Audit ad-to-landing-page message match for paid campaigns

  • Audits every ad against its landing page on 6 dimensions
  • Scores message match from 0-60 with rating tiers
  • Reviews landing page friction: forms, CTAs, social proof
  • Identifies critical disconnects with rewrite suggestions
  • Outputs a prioritized fix list by conversion impact

Who this is for

What it does

Why are clicks not converting

Find the exact message disconnect between your paid ads and the page they land on.

Pre-launch CRO audit

Before scaling spend, audit every ad-LP pair to make sure every dollar lands on a coherent experience.

Inherited campaign cleanup

Take over an account and quickly score every ad-LP combination before deciding what to fix.

How it works

1

Take ads and landing page URLs as input

2

Fetch each landing page and extract content elements

3

Score message match across 6 dimensions per ad-LP pair

4

Identify friction points on each landing page

5

Output prioritized fixes with rewrite suggestions

Metrics this improves

Bounce Rate
Lower bounce rate when LP delivers on the ad's promise
Marketing
Conversion Rate
Higher click-to-conversion rate by fixing the worst message-match disconnects
Marketing

Works with

⚖ Compare side-by-side
Compare with 3 similar skills
In the same department: Marketing (67 skills total)
Compare →

Similar skills

Auto-suggested by attribute overlap. Side-by-side comparison shows what differs.

Compare all 4
Sorted by attribute overlap × differentiation. Ad-to-Landing Page Auditor shares 18+ attributes with each.

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 data — One of:
    • Ad copy + landing page URLs (manual list)
    • CSV export from ad platform
    • "Scrape my active ads" (uses ad scrapers on your domain)
  2. Platform(s) — Google Search / Meta / LinkedIn / All
  3. Conversion goal — What should happen after someone clicks? (Demo / Trial / Purchase / Download)
  4. Known conversion rates? — Current click → conversion rate per ad/LP

Phase 1: Ad Inventory

If User Provides Ad Data

Parse the provided ads into:

Ad IDPlatformHeadlineBody/DescriptionCTALanding Page URLConv Rate (if known)

If Scraping Own Ads

Run meta-ad-scraper and/or google-ad-scraper on the user's domain to capture active ads.

Phase 2: Landing Page Audit

For each unique landing page URL:

Fetch: [landing_page_url]

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

# 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 clients/<client-name>/ads/ad-lp-audit-[YYYY-MM-DD].md.

Cost

ComponentCost
Landing page fetchingFree
Ad scraping (if scraping own ads)~$0.40-1.00 (Apify)
AnalysisFree (LLM reasoning)
TotalFree-$1.00

Tools Required

  • fetch_webpage — for landing page analysis
  • Optional: meta-ad-scraper, google-ad-scraper (if scraping own ads)
  • Apify API token — only if scraping ads

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"