Author: 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.
Autonomous bidding in DV360 and Advantage+ cuts costs but hides risk. Here’s where human oversight still beats the algorithm.
Autonomous bidding agents in DV360 and Advantage+ move fast, but unchecked automation still costs brands budget, brand safety, and trust.
Share of voice is dying. Here’s how to build an internal dashboard that tracks your brand’s Share of Model across AI answer engines.
We audited 40 brand pages against Google’s new AI search guidance to find what actually moved rankings — and what’s just noise.
A buyer’s guide to AI media-planning tools that allocate incremental reach to creators, with an evaluation framework built for mid-market budgets.
AI model interoperability determines whether your MarTech stack is an asset or a liability. Here’s how to audit vendor lock-in risk.
Why treating GEO as a subset of SEO underfunds it, and how brands should budget, staff, and measure it separately in the year ahead.
RAG grounds AI creative briefs in real brand data, cutting hallucinations that waste budget and create compliance risk.
A human-override protocol turns autonomous media-buying agents from a liability into a governed asset—here’s how to build one before granting spend authority.
Small language models cut brand copy costs versus fine-tuned LLMs, but the right choice depends on volume, risk tolerance, and workflow.