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.
How brands vet AI content-variation engines to turn one creator shoot into dozens of compliant, on-brand ad cuts.
A brand-side evaluation framework for catalog-driven video ad platforms that auto-generate shoppable layouts from product feeds.
A practical framework for evaluating avatar-led product video tools that turn one master asset into hundreds of localized variants.
Synthetic audience testing tools let brands pre-test creative on AI-modeled consumers, cutting wasted spend before campaigns ever go live.
Synthetic audience testing tools let brands pressure-test creative before spend goes live — here’s how to evaluate vendors without buying hype.
A practical framework for vetting RAG vendors on grounding accuracy, citation quality, and compliance before they touch your product claims.
What GetResponse, Fluency, and Lob’s award wins reveal about where brands should actually place AI martech budget in the year ahead.
Why brands need an AI shopping agent readiness audit now, before ChatGPT, Gemini, and Perplexity start completing purchases on their own.
We tested three generative engine optimization tools against real product pages to see which actually moves the citation-rate needle.
A third of influencer audiences show fraud signals. Here’s how leading AI fraud detection vendors stack up on accuracy, cost, and speed.