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.
GEO operations now run on AI agents like Civitas. Here’s how brands should vet digital employees before trusting them with visibility budgets.
AI product-research agents now screen pitches before humans do, reshaping how creators and brands vet products for fit, safety, and ROI.
Creative-level CAC testing lets AI media-buying tools find winning creator content fast, cutting waste before brands commit real scale budget.
Agentic AI workflows centralize creator contracts and automate multi-channel asset reuse, cutting licensing risk and manual ops time.
Broken identity resolution is silently corrupting AI creator attribution models, inflating ROI claims and misdirecting influencer budgets.
AI decisioning platforms optimize influencer spend fast, but weak input data wrecks results. Here’s the vetting checklist brands need first.
A side-by-side look at media-buy testing platforms for creator whitelisting, built for performance teams optimizing spend and risk.
Centralized DAM systems that track multi-use licensing cut legal risk and ad spend waste. Here’s how the top tools compare.
Impressions and engagement rates no longer justify creator budgets. Here’s how to build an influenced pipeline reporting model that proves revenue.
Two-witness attribution cross-checks CRM, GA4, and self-reported data so brands stop crediting AI search on shaky evidence.