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 agents promise 40% cheaper agency production. Here’s how to vet white label cost claims before you sign the contract.
Before cutting creator budget for “AI search” wins, demand two independent witnesses confirming the influence actually happened.
A structured company information model determines whether ChatGPT and Perplexity recommend your products or a competitor’s instead.
Jon Miller’s Phave launch exposes why martech stacks built for campaigns, not agents, are becoming a liability for marketing ops teams.
A procurement checklist for agentic ad platforms, covering access controls, spend caps, audit trails, and vendor accountability before go-live.
AI video output still needs editing before it ships. Here’s how brands build a QA workflow that catches errors before they reach customers.
Data clean rooms let brands match creator audiences against first-party data without exposing PII, solving targeting and compliance at once.
Google Ads AI tools speed up keyword research, but only some outputs survive AI Overviews and GEO ready search. Here’s how to vet them.
Identity resolution gaps quietly sabotage B2B ABM programs, even with AI in the stack, inflating pipeline and wasting budget.
Agentic advertising signal trust determines which AI inputs justify million dollar budgets, and most brands lack a real framework for it.