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.
AI answer engines now shape brand discovery. Here’s how to structure content that earns citations in conversational search results.
AI agent interoperability standards could reshape vendor lock-in risk across CRM, ad platforms, and content tools. Here’s what brands need to plan for.
Consumers now expect brand replies in minutes, not days. Here’s how AI-assisted content systems deliver personalization at machine speed without sacrificing trust.
A step-by-step framework for auditing MarTech stacks to find AI-driven redundancies in analytics and CRM tools, cutting waste without losing capability.
Wunderkind-Cordial identity resolution and standalone CDPs solve anonymous traffic matching differently. Here’s what brands should weigh before buying.
Autonomous agents now score leads and produce content end-to-end. Here’s what brands need to vet before handing over the keys.
Generative Engine Optimization is splitting SEO budgets in two. Here’s how to win citations in ChatGPT and Google AI Overviews without doubling spend.
In-platform AI or a standalone layer? A practical framework for choosing your segmentation and send-time optimization stack.
Before buying another AI tool, brands need to ask whether fragmented identity data — not tool count — is the real growth bottleneck.
Only 39% of marketers monitor AI training data continuously — here’s how to build a pipeline that catches bad data before it skews recommendations.