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.
Early agentic bidding rollouts overspent, misfired, and burned budgets — here’s what went wrong and how brands can avoid the same fate.
A practical scorecard framework for testing Claude, Gemini, and GPT on brand voice accuracy before scaling AI copy production.
Smalk wants brands to buy placement inside LLM answers using SEO-style signals. Here’s what’s real, what’s risky, and what to test.
Smalk wants brands to pay for placement inside LLM answers. Here’s what its generative engine advertising model actually promises, and what it can’t.
A hands-on comparison of Into-it, Jasper, and Writer for autonomous campaign execution, scored on ROI, risk, and operational fit.
A technical buyer’s breakdown of Google’s Confidential Publisher Match, and what CTV buyers need to verify before trusting it.
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.