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 creative intelligence tools like Vidmob are moving brand teams from post-campaign guesswork to real-time signal analysis. Here’s what that shift means operationally.
AI hallucination in ChatGPT Shopping, Google AI Mode, and Perplexity is distorting brand facts. Here’s how to detect, monitor, and correct it before purchase intent erodes.
A practical transition framework for marketing teams shifting campaign research, creative testing, and attribution into an AI-orchestrated model without breaking live programs.
Learn how brand campaign teams can configure pre-deployment checks, mid-flight monitoring, and post-campaign audits to catch AI media buying errors before they compound.
How Travel Leaders Network’s unified identity model exposes what’s broken in most creator CRM stacks — and what brand marketing ops teams should build instead.
A practical framework for tracking brand visibility across ChatGPT, Google AI Mode, and Perplexity — covering share-of-model, citation frequency, and paid AI interface performance.
Vidmob’s creative data model is forcing brand performance teams to rethink the firewall between production and analytics — here’s what that restructuring actually looks like.
How to evaluate AI-driven identity resolution platforms that unify creator audience data, paid social signals, and first-party purchase records into one actionable consumer identity.
AI video production is splitting into two distinct strategies. Here’s how to determine whether high-volume automation or premium human-directed content will drive better ROI for your brand.
Learn how to close the AI creative data feedback loop — connecting performance analytics directly into generative production workflows to improve creative output automatically.