Author: Ava Patterson
Ava Patterson
Ava is a San Francisco-based marketing tech writer with a decade of hands-on experience covering the latest in martech, automation, and AI-powered strategies for global brands. She previously led content at a SaaS startup and holds a degree in Computer Science from UCLA. When she's not writing about the latest AI trends and platforms, she's obsessed about automating her own life. She collects vintage tech gadgets and starts every morning with cold brew and three browser windows open.
Hospitality’s AI recommendation engines are rewriting product discovery — here’s what CPG and retail brands must do to stay visible.
Brands now use generative AI to test dozens of ad hooks pre-spend, cutting media waste and speeding up creative decisions.
Alibaba’s generative AI ad suite promises fast APAC entry, but brands need to vet localization depth, data compliance, and true ROI first.
Sentiment-driven content distribution rewards trust over reach — here’s how to evaluate AI platforms without torching brand safety.
A practical map of the AI-native creative production stack — from ideation to multi-format output — for brands scaling content without scaling headcount.
Runway, Alibaba, and Google now power AI ad activations at scale — here’s how brands should evaluate cost, risk, and ROI before committing budget.
Brands using generative AI for UGC-style content are cutting production timelines in half without sacrificing quality or authenticity.
A cost-and-output comparison of hook-based AI ad generators, built to help small business marketers pick tools that actually pay for themselves.
Genspark’s multi-agent lemonade stand test exposes what agentic ad production can automate — and where brand oversight still can’t be skipped.
A vendor evaluation framework for AI hook-structure generators like GetHookd, weighing ad output speed against brand risk and ROI.