Audit intermediate Works with: Any AI

Ad Policy and Disapproval History Review

Table output

Learn from rejected ads and prevent repeats.

The Open buttons send the prompt text as currently shown below to that site only when you click. Fill in the placeholders first.

[VERIFY] is an editorial flag, not a blank to fill. Wherever the prompt shows [VERIFY], check that item against a reliable source before you use it.

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Review my ad disapprovals. List of rejected ads with the reason shown by the platform, the ad text and the landing page address: [DISAPPROVALS]. Industry and what I sell: [INDUSTRY_AND_OFFER]. Platform: [PLATFORM].

Group the rejections by reason and look for patterns in wording, images, landing page content and targeting. Check each ad for claims about results, health or money, personal attributes in the text, misleading buttons, before-and-after language, and landing pages that do not match the ad. Suggest safer wording that keeps the honest message.

Return a table with Ad, Reason, Likely cause and Safer version, a pre-launch checklist of ten items, and a log template for future disapprovals. Policies change, so read the platform's current policy pages and note what I verified [VERIFY].

Add a worked grouping with invented rejections. Ad 1, Lose 5 kg in a week, rejected for unrealistic health claims; safer: Join a 12-week plan with weekly check-ins, results vary. Ad 2, Are you struggling with debt? rejected for implying personal attributes; safer: Budget tools for monthly planning. Ad 3, text over 40 percent of an image, rejected for image quality; fix by reducing text. Ad 4, landing page shows a different price, rejected for mismatch. Count: 4 rejections, 2 for claims, 1 for personal attributes, 1 for mismatch. Create a pre-launch checklist: no guaranteed results, no before-and-after implications, no use of you with sensitive traits, claims supportable, landing page consistent with the ad, links working, disclaimers visible, and targeting settings reviewed. Add an appeals approach: read the stated reason, fix the likely cause, request review once with a short factual note rather than resubmitting repeatedly. Keep a log with date, ad, platform, reason, change made and result, and review it monthly to catch patterns. Remind me that policy summaries here are only a starting point and I must read the platform's current rules and any industry-specific requirements [VERIFY].

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