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• Benchmarks

  Real, sourced case files from paid-search and paid-social campaigns actually run: platform, spend range, timeframe, the metric that mattered (ROAS, CPA, or CTR), the verdict, and honest post-mortems on what failed, not only wins. This is the flagship section and the site's only defensible moat; nothing here is aggregated industry data or a platform's claimed lift figure, and every record carries a last-reviewed date because AI ad defaults change fast enough to make older figures misleading. Tactics in Bidding and failures documented in Creative link back to specific records here as their evidence base.

• Tracker

  A dated, filterable log of AI-ad-product changes on Google, Meta, and TikTok: new defaults, renamed features, bidding or creative automation shipped on by default, and policy or regulatory shifts, including EU AI Act Article 50 and New York's synthetic-performer disclosure law, covered only where they touch advertising. Each entry states what changed, who is affected, and links to the primary announcement or legal text. This is the freshness engine that gives readers a reason to check back between benchmark publications, modeled on a changelog rather than a blog: short, dated, sourced entries, not long-form commentary.

• Bidding

  Tactical guidance on AI-driven bidding and budget automation, such as Smart Bidding, Advantage+ campaign budget, and AI Max for Search signals, written for people already running these campaigns. Every tactic must reference the specific Benchmarks record or post-mortem it draws on rather than stand as generic best-practice advice, preserving the evidence-before-tactic rule the brand's voice depends on. This group explains how to act on what Benchmarks and Tracker already show, not new independent claims.

• Creative

  Coverage of AI-generated and AI-enhanced ad creative: generation workflows, testing methods, and documented brand-safety or disclosure failures, including cases touching FTC endorsement rules, EU AI Act Article 50 labeling, and state-level synthetic-performer disclosure. This is a failure library and testing reference, not a showcase of impressive AI ad examples; entries cite what went wrong or what was tested, cross-link to relevant Benchmarks records where a creative change affected measured performance, and treat compliance topics strictly as they touch advertising, not as general AI-ethics commentary.

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