CL

Christopher Landaverde

Creator of AdLint · Ad-tech tracking specialist

I built AdLint because the way agencies were auditing client tracking was broken. Either you pasted the client's GTM container or their Google Ads conversion CSV into ChatGPT (which is a data-handling problem nobody wants to defend in writing), or you spent four hours clicking through the platform UIs yourself. Both options leave you with findings you can't cite without rewriting.

AdLint runs the audit in your browser. Nothing uploads. Nothing logs. The findings are sourced back to the canonical platform documentation so the agency can defend them to the client without hedging. The citation paragraph on each finding page is written to drop into a deliverable verbatim.

I focus on ad-tech tracking implementations: GTM container architecture, Google Ads conversion configuration, Smart Bidding signal hygiene, cross-source consistency, and pixel implementations across Meta, TikTok, LinkedIn, Pinterest, X, and Snap. Every check in AdLint is something I have seen go wrong on a real account, often more than once.

About AdLint

  • 178 checks across 10 sources (GTM, Google Ads, Performance Reports, Cross-Source, Meta, TikTok, LinkedIn, Pinterest, X/Twitter, Snapchat).
  • 100% client-side. Nothing is uploaded. The audit engine is a static JavaScript bundle. No backend, no account, no logging of audited data.
  • Free. No tier, no paywall.
  • Open source. The check engine and editorial content live in the public ChristopherLandaverde/adlinter repo.

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