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.
GEO explained: how to unify earned media, reviews, and product docs into one CRM-fed identity signal that AI engines trust and cite.
GEO turns scattered reviews, earned media, and docs into one CRM-fed identity signal AI engines trust and cite.
Zero-click search is here. Learn how to restructure brand content so AI Overviews quote you instead of your competitor.
XR ONE and unified ad-ops platforms promise to cut production waste — here’s how to evaluate the ROI claims before you sign.
A governance checklist for spend caps and human override triggers before letting AI agents bid autonomously on media.
A hands-on comparison of NemoVideo, Opus Clip, and Descript for turning product links into ad-ready video at scale.
A diagnostic framework to pinpoint whether AI marketing underperformance stems from bad data, weak governance, or fuzzy use-case priorities.
A breakeven model for choosing fine-tuned LLMs vs vendor APIs for marketing copy, covering true costs, risk, and scale thresholds.
A practical framework for building an agentic creative testing pipeline that generates, scores, and A/B tests hook variants without manual bottlenecks.
Acxiom, Epsilon, and LiveRamp resolve creator attribution differently — the wrong pick means misattributed spend and compliance risk.