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.
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.
One identity graph can unify CRM attribution and generative engine optimization, cutting duplicate tracking costs and closing the AI-to-revenue loop.
A technical breakdown of TikTok’s C2PA watermarking rollout and what brands must do now to prove content provenance and stay compliant.