Ads Audit
Run a source-grounded paid-advertising audit for one or more of Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinteres…
By AgriciDaniel/claude-ads, MIT licence. Shared here with credit.
Paid Advertising Audit
Produce a versioned JSON audit bundle first, then render human deliverables from that bundle. Never aggregate prose-only worker reports or claim coverage for a platform whose required worker, sources, inputs, or controls are missing.
Procedure
- Read the main
adsoperating contract and thinking framework. - Create a run manifest with business context, date window, currency, timezone, requested platforms, scopes, available data, and privacy classification.
- Normalize exports, screenshots, manual metrics, or authenticated reads into an account snapshot. Preserve source lineage and mark missing fields.
- Discover active platforms. Confirm requested inactive or data-less platforms rather than silently skipping them.
- Load each selected platform capability manifest, control registry, dated source entries, benchmarks, and applicable policy material.
- Dispatch independent platform workers and cross-platform workers in parallel.
- Validate every result against the common finding schema. Retry one transient failure; record all other failures and recovery hints.
- Run deterministic scoring. Do not calculate or repair scores in the prompt.
- Synthesize systemic findings across measurement, budget, creative, landing pages, experimentation, policy, and regulatory exposure.
- Write one atomic run bundle and render the requested reports.
- Verify bundle completeness, citations, privacy, and render integrity.