Executive Summary

Performance marketers, creative teams, and agencies today waste days and often thousands of dollars trying to find winning ads because competitive research is manual, keyword-limited, and siloed across platforms; with roughly 3 million advertisers and an $18.0B addressable market ($6K ACV per customer) this inefficiency is a large, costly problem. Decision-makers report creative discovery is the bottleneck as targeting becomes noisier post-IDFA/cookie changes, so firms that can accelerate ideation and reduce wasted spend will be in demand. The product would be an AI-powered ad search and creative analysis platform that ingests native ad libraries and public ad assets, applies multimodal visual+text models to extract features (frames, headlines, layout, product shots), and offers similarity search, automated creative scoring, and trend detection you can export into briefs and ad tests. Core capabilities should include video frame decomposition, OCR/headline normalization, template and element clustering, and predicted creative uplift scores that integrate with ad managers and A/B testing workflows. This moment is attractive because multimodal models now make large-scale visual+text feature extraction practical, platforms (Meta, YouTube) provide richer APIs and libraries that make legal indexing feasible, and the industry is moving to creative-first optimization; combined with a market score of 95/100 and revenue potential rated 94/100, timing and economics are favorable. The addressable spending and the shift in marketer behavior mean a well-executed product could capture meaningful ACV quickly, but it will require rapid product-market fit and clear ROI proofs. To stand out you must prioritize high-precision multimodal feature pipelines, explainable scoring, human-in-the-loop validation, and tight integrations with ad platforms and creative workflows while being explicit about challenges: data licensing and API limits, model drift, the need for high-quality labeled examples, privacy/compliance risks, and a medium-competitive landscape that rewards execution more than concept alone.

Market Opportunity

Find winning ads fast — AI-powered ad search & creative analysis targets a $18.0B = 3M advertisers x $6K ACV total addressable market with medium saturation and a year-over-year growth rate of 12-18% growth — increasing spend on creative optimization & adtech.

Key trends driving demand: Multimodal AI -- visual+text models enable automated creative feature extraction and similarity search at scale, making ad discovery richer than keyword-only tools.; Creative-First Optimization -- marketers shifting budget to iteratively test creative because targeting has become noisier post-IDFA/cookie changes.; Platform transparency -- native ad libraries and richer APIs (Meta, YouTube) make large-scale ad indexing feasible and legally accessible for competitive analysis.; Short-form video dominance -- Reels/TikTok-style formats increase demand for creative benchmarking and rapid iteration across formats..

Key competitors include AdSpy, BigSpy, Pathmatics (Oracle/Pathmatics style enterprise solutions), SEMrush (Advertising Research module), Meta / Facebook Ad Library.

Sign in to access

Find winning ads fast — AI-powered ad search & creative analysis

Executive Summary

Market Validation

Market Opportunity

More in Marketing Tech

SEO, reviews & online-presence system for small service shops without a team

Cut agency workload with AI-led marketing automation and white‑labeling

Slow, low‑ranking content → RAG‑powered AI team that automates SEO briefs & drafts

Automate ad targeting & conversion tracking with LLM-driven workflows

Automate release-day media aggregation & reporting across 21 sources (seconds)

Turn low-performing sites into revenue engines — AI-driven monetization & personalization