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.
Answer Engine Optimization is now infrastructure, not tactics — here’s how Brandi AI and PR Newswire Amplify are reshaping AI search visibility.
Vertical ML models like FirstHive’s Eddie Engine are outperforming general-purpose CDPs on mid-market identity resolution accuracy and cost.
A practical framework for evaluating Rokt mParticle, IQM, and other post-cookie identity platforms before you sign a contract.
Celtra and Fluency both promise faster ad production at scale, but their governance models diverge sharply on risk, control, and speed.
GetResponse’s optimization platform win signals a shift in what mid-market brands should demand from AI marketing automation vendors in 2026.
We benchmark Acxiom, LiveRamp, and Experian match rates for a cookieless future, revealing which vendor actually protects your ROI.
Amazon’s Universal Commerce Protocol could route billions in agent-driven sales — here’s how brands should evaluate exposure before it’s mandatory.
Nearly half of AI marketing agents underdeliver because of broken data foundations, not bad models — here’s the root-cause framework.
Why brands are building internal dashboards to track citation share across ChatGPT, Gemini, and Claude — and how to do it right.
Half of product research now happens in AI answers, not clicks. Here’s how to rebuild GA4 to isolate and prove AI-referral value.