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.
Reddit’s AI content-quality filters are quietly repricing brand seeding, rewarding authentic posts and taxing lazy campaigns.
Reddit’s AI quality filters are quietly repricing brand seeding — here’s how the economics shifted and what brands must do now.
A vertical-by-vertical audit of YouTube’s Creator Partnership Platform ROAS claims, six months post-launch, with real gaps brands need to know.
Autonomous shopping agents read product feeds, not homepages. Here’s how brands must restructure data to win the agent economy.
A cost-benefit framework for choosing between fine-tuned in-house marketing LLMs and vendor licensing, built for enterprise brand decision-makers.
A brand-side comparison of AI sentiment tools tested on sarcasm, slang, and regional nuance, so you stop misreading your own mentions.
Vendor demos oversell autonomous rate negotiation. Here’s how brands verify AI agent performance before trusting them with media budgets.
A practical framework for auditing marketing AI stacks, cutting redundant tools, and reclaiming budget without losing capability.
A vendor comparison for AI contract lifecycle management platforms handling creator agreements, built for legal and marketing ops teams.
Why some brands are swapping massive LLMs for small language models on narrow, high-volume marketing tasks — and cutting cost and risk.