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.
Bots now outnumber humans online, so product data built for browsers instead of crawlers is quietly losing brands revenue.
A practical pre-publication audit protocol for catching AI-hallucinated product claims before they reach influencer briefs and legal risk.
RAG has quietly become a procurement gate for marketing AI vendors — here’s what brand teams should demand before signing.
Generative search is becoming a discovery layer of its own; here’s how marketers build visibility, governance, and proof before rivals do.
A practical blueprint for building a share-of-model dashboard that tracks brand visibility across ChatGPT, Gemini, and Claude in real time.
Acxiom, LiveRamp, and Experian solve CTV identity resolution differently — here’s how to evaluate which one actually fits your stack.
A practical framework for mid-market brands to evaluate server-side attribution platforms before third-party cookies disappear for good.
AI answer engines like Claude, Gemini, and Grok now shape brand discovery — here’s how to build a visibility strategy for them.
A practical, agentic-readiness comparison of Segment, Tealium, and mParticle for brands scaling AI-driven marketing decisions.
A brand-side breakdown of Segment, Tealium, and mParticle for agentic marketing readiness — architecture, governance, and total cost realities.