AdVariantIQ

AdVariantIQ is a web app (with optional mobile companion) that helps small teams and agencies choose which ad creatives to ship by scoring variants against platform best practices and historical performance patterns. You upload images/videos and paste copy; the app generates structured variants (headlines, primary text, CTAs, crops, aspect ratios) and runs preflight checks for policy risk, accessibility, and creative fatigue signals. It then produces a “launch set” tailored to Meta, TikTok, YouTube, and LinkedIn specs, plus an experiment plan (what to test first, what to hold constant). This is an AI + traditional app: AI proposes and scores variants, but the workflow, spec validation, and export tooling are deterministic. It’s realistic: it won’t magically guarantee ROAS, but it can reduce wasted spend caused by obvious creative mistakes and weak iteration discipline.

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