Ad-Page Match Auditor
by Nathan Wang
Audit paid ads and landing pages as one conversion path for service businesses.
Free
Works with the AI tools you already use
See it in action
You say
Audit this path: Our Meta Ad offers '$50 off first dental cleaning,' but the 'Book Now' button links to our general services homepage. Target is local families.
Your agent does
Verdict
Broken path. The ad promises a specific discount that disappears upon landing, creating immediate friction.
Message-Match Gaps
- Offer: $50 discount not mentioned on the homepage.
- CTA: Ad promises "Cleaning"; page shows general dental services.
Variant Plan
- Hypothesis: A dedicated landing page repeating the $50 offer will increase conversion by 40%.
- Headline: Get $50 Off Your First Professional Cleaning in [City].
- CTA: Claim My $50 Voucher.
About this skill
What it does
The Ad-Page Match Auditor evaluates the entire conversion path for service-based businesses, from the initial paid ad click to the final booking or lead capture. Rather than analyzing assets in isolation, it identifies "friction gaps" where the promise made in a Meta, Google, or TikTok ad fails to align with the landing page experience.
Why use this skill
Modern service businesses—like med spas, dental clinics, and home services—often lose money on paid ads because of message-match failure. Setting up an AI to review these paths manually often results in generic marketing fluff. This skill uses a structured audit methodology focused on 1:1 message matching, offer continuity, and conversion-centric risk assessment.
Supported Platforms & Businesses
- Traffic Sources: Meta Ads, Google Search/LSA, TikTok, LinkedIn, and QR-driven direct mail.
- Business Verticals: Healthcare, elective medicine, home services (HVAC/Plumbing), fitness studios, and professional agencies.
- Tools: Compatible with various booking software, CRMs, and landing page builders.
The Result
You receive a concise, developer-grade report featuring a conversion path verdict, a prioritized list of message-match gaps, specific conversion risks (e.g., CTA misalignment), a 3-variant testing plan with hypotheses, and a measurement hierarchy for tracking booked appointments or qualified leads.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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