ad-to-landing-page-auditor

name	ad-to-landing-page-auditor
description	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.
tags	["ads"]

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 ID	Platform	Headline	Body/Description	CTA	Landing Page URL	Conv 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

Element	Found?	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:

Dimension	Score (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

Score	Rating	Meaning
50-60	Excellent	Strong match — LP delivers on every ad promise
40-49	Good	Minor disconnects but overall coherent
30-39	Needs work	Noticeable gaps — visitor has to hunt for relevance
20-29	Poor	Ad and LP feel like different products
Below 20	Critical	Complete mismatch — fix immediately

Phase 3: Conversion Friction Analysis

Beyond message match, assess landing page conversion friction:

Friction Type	Check	Status
Load time	Does the page feel heavy/slow? (Asset count proxy)	[Fast/Slow/Unknown]
Form length	How many fields before conversion?	[N fields] — [Appropriate/Too many]
CTA clarity	Is there one clear CTA or competing actions?	[Clear/Cluttered]
Above-fold conversion	Can someone convert without scrolling?	[Yes/No]
Social proof placement	Is proof near the CTA?	[Yes/No]
Navigation distraction	Does the LP have full site nav? (Should be minimal)	[Minimal/Full nav]
Mobile experience	Any 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]"
 "[rewrite that matches LP]"

OR

 "[current]"
 "[rewrite that matches ad]"

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

Cost

Component	Cost
Landing page fetching	Free
Ad scraping (if scraping own ads)	~$0.40-1.00 (Apify)
Analysis	Free (LLM reasoning)
Total	Free-$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"