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.
Claude Cowriter and ChatGPT Canvas tackle long-form brand content differently — here’s which one actually fits your editorial workflow.
A retail playbook for recovering AI Overview zero-click traffic loss by rebuilding product descriptions for GEO citation and revenue.
A hands-on comparison of Profound, AirOps, and Semrush’s AI Visibility Toolkit for tracking brand citations across LLMs.
One year in, Google Ask Ad Manager still needs human sign-off on budget and bidding — here’s what that limit means for agentic ad buying.
Six months post-deployment, HubSpot AI lead scoring models drift — here’s how to measure it, fix it, and protect pipeline trust.
A practical vendor scorecard framework for evaluating AI format-prediction tools before granting them cross-channel budget authority.
How brands should vet synthetic presenter platforms like NOVA MEDIA for enterprise use, from ROI to compliance risk.
Mark Ritson’s agentic AI warning demands a real response. Here’s a practical framework for auditing autonomous campaigns without killing momentum.
With generative video ad inventory hitting 40%, mid-size brands need a real budget reallocation model, not another pilot program.
A practical governance framework for vetting no-code AI agent builders before they touch brand data, budgets, or customer trust.