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.
Generative-Engine Marketing splits AI visibility into paid and organic, forcing brands to budget for both in 2027 planning cycles.
A real-time identity resolution layer unifies ad, CRM, and product data so AI agents can make decisions on facts, not fragments.
A practical framework for evaluating AI creative-variation agents in mobile app and gaming UA, from testing velocity to attribution risk.
A practical vetting framework for discovery and measurement tool vendors before enterprise-wide rollout across global marketing teams.
A hands-on comparison of GEO and AEO platforms to help brands find which tools actually win citations in AI-assistant search results.
Agentic AI is moving CRM and CDP stacks from static segmentation to real-time, autonomous campaign triggers. Here’s what brands need to know.
Comparing AlphaSense-style AI enterprise search tools against traditional vendors for marketing research speed, accuracy, and ROI.
Revenue attribution is becoming a governance mandate. Here’s how to build identity resolution and account hierarchies that survive audits.
TransUnion’s AI ROI data shows adoption has outrun measurement. Here’s why the gap exists and how brands can close it.
AlphaSense and similar AI summarization tools promise faster competitive research — but marketers need to vet them like any martech buy.