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.
A technical buyer’s framework for evaluating CRM-CDP identity resolution, consent enforcement, and attribution accuracy before you sign.
A GEO vs GEM budget framework separates organic AI visibility spend from paid ChatGPT and Gemini placements to protect ROI and reporting.
Agentic AI media buying beats humans on speed and scale, but fails on brand judgment. Here’s where to trust the machine.
A practical framework for brands to stress-test the ChatGPT-AppsFlyer attribution integration before shifting budget from proven channels.
An AI model registry tracks which generative tool touched each marketing asset, closing compliance gaps before regulators or clients find them.
Real 2026 deployment data shows where agentic media-buying breaks down, and how to turn error rates into defensible human-override thresholds.
Kill-switch certification is becoming the new procurement gate for autonomous media-buying agents. Here’s how to evaluate it before signing off.
How to evaluate AI knowledge-base tools that actually cut marketing onboarding time, without buying another shelfware subscription.
Rising cloud compute costs are forcing marketers to trade off between bigger AI models and higher query volume — here’s how to choose wisely.
Regulators now want proof, not promises. Here’s what explainable AI documentation for marketing programs actually requires in practice.