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.
Learn how to build an AI perception marketing stack that monitors your brand across ChatGPT, Gemini, and Claude—catching brand drift before it shapes purchase intent.
Adobe GenStudio’s cross-channel AI tools let brand creative directors produce CTV-ready and social-native assets from one brief — here’s how to restructure your creator sessions.
Learn how brand creative teams should configure, govern, and override Adobe GenStudio’s Next-Best-Creative AI to maintain brand voice across paid social and CTV ad refresh at scale.
Adobe, Google, and Zoho’s agentic AI tools are reshaping campaign operations. Here’s the governance framework brands must build before autonomous decisions scale.
Adobe and LinkedIn’s AI Essentials program gives brand marketers a structured path to mastering AI-generated insights, CRM attribution, and creator campaign measurement.
How brands should evaluate Zoho SalesIQ’s agentic AI for creator program CRM, balancing conversational intelligence, influencer automation, and compliance risk.
Learn how to build AI-powered UGC asset routing pipelines that tag, format, and repurpose community content for paid and owned channels using real-time performance signals.
AI-generated micro-assets routed by real-time performance signals are replacing manual channel planning — here’s how brands are operationalizing the shift.
Brands are using generative AI to produce CTV-ready spots and short-form social assets simultaneously — cutting production timelines and media budgets without sacrificing creative quality.
AI-driven distribution engines now use live attribution data to rebalance channel mix across creator, paid, and owned surfaces in real time — here’s what that means for your campaign decisions.