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.
WhiteLabel.Digital’s AI agent rollout promises Answer Engine Optimization wins, but the attribution and audit claims deserve scrutiny.
A finance-first guide to vetting CRM and creator payment integrations in 2026, covering compliance, tax risk, and ROI tradeoffs.
Answer engine optimization tools are flooding MarTech, but most brands can’t tell real AI visibility data from dashboard theater.
Zeta’s AI search stack is landing deals with PepsiCo, Babylist and Sharp. Here’s what brands are actually buying and what to vet first.
AI UGC production platforms promise instant scale testing, but brands need a vetting framework before trusting the output.
A practical framework for calculating true ROI on agent-driven marketing operations before signing any outsourcing contract.
Google’s Performance Max asset group testing finally gives brands real data on which creators drive conversions, not just clicks.
New data shows 43 percent of brand mentions disappear in AI summaries. Here’s why it happens and how to protect discovery.
A first-party data moat lets brands track real creator ROI as cookies disappear, cutting wasted spend and compliance risk.
Predictive scaling AI promises to auto-optimize creator spend, but most vendors are reselling basic rules engines as intelligence.