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.
Sora, Veo, and Runway compared for brand teams on cost, brand safety controls, and multi-format output to guide the next production budget.
Why brands need an AI agent shopping readiness audit now, and a practical framework for feeds, structured data, and creator content.
A practical cost model for the fine-tune vs license decision, helping brands weigh proprietary marketing LLMs against vendor APIs.
AI answer engines drive purchases with zero click data. Here’s how brands build proxy metrics to prove and defend that revenue.
A technical checklist for GEO metadata that helps product pages get cited in ChatGPT Shopping answers instead of a competitor’s.
XR ONE’s format-prediction engine promises faster ad-format decisions than in-house ML—but for mid-market brands, the tradeoffs are real.
A brand-side comparison of HUMAN, DoubleVerify, and Pixalate for micro-creator whitelisting, weighing accuracy, cost, and operational fit.
A practical vendor shortlist for evaluating AI-native ad platforms that discover nano-creators at scale before 2026 budgets lock.
Forward-deployed engineers are cutting AI implementation timelines from months to weeks—here’s what brands need to know before hiring one.
TikTok Shop’s real IP verification expansion uses AI fraud detection to rebuild merchant trust — here’s what brands need to know.