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.
No team owns how ChatGPT, Gemini, and Perplexity describe your products. Here’s how to assign that ownership before a rival does.
Vector databases beat CDPs for unstructured creator content at scale, but most brands don’t need one yet. Here’s the real test.
Nearly half of marketing leaders say their AI agents underperform — the real culprit is usually data quality, not the model.
A step-by-step AI hallucination detection protocol that catches false product claims before they land in creator briefs and trigger FTC risk.
Amazon and Walmart now let algorithms bid your CPG budget in real time. Here’s what brand teams need to control before turning it on.
Claude for Enterprise vs Gemini Enterprise: a brand-marketing lens on compliance, workflow fit, and total cost before you sign.
A practical governance framework for when marketers must override AI ad format picks before dollars go live.
Pinecone vs Databricks Vector Search: when creator content retrieval actually needs a dedicated vector database, and when it’s overkill.
Meta’s GEM model reshuffles shoppable Reels distribution—here’s how the recommendation layer scores briefs and what wins placement.
One in six autonomous media-buying decisions fails without human review, new data shows. Here’s where oversight still pays for itself.