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.
Meta Advantage+, TikTok Symphony, and Amazon’s AI Ad Suite handle audit trails and disclosure very differently — here’s what brands risk missing.
A practical vendor due-diligence checklist for AI ad platforms promising outsized ROAS before you shift creator budget their way.
AI marketing benchmarking dashboards are becoming the new standard for tracking share of voice across LLMs. Here’s what brands need to know.
Marketing technology interoperability failures are still costing brands budget and time — here’s why cross-vendor AI tools refuse to talk in 2026.
Fine-tuning a marketing LLM can beat vendor licensing on cost and control, but only past a specific usage threshold. Here’s the math.
A brand-perspective comparison of AI sentiment analysis tools that actually parse sarcasm, slang, and context in social monitoring.
A side-by-side look at share-of-model benchmarking tools, so brands can pick the right AI visibility tracker for their category.
Before granting AI agents budget access, brands need a vetting framework covering permissions, audit trails, liability, and kill switches.
Fine-tuning beats vendor subscriptions once volume, brand voice, or compliance risk crosses a specific threshold — here’s the math.
Reddit cut spam 20% using ML classifiers and behavioral signals — here’s what brands need to know before seeding campaigns.