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.
A practical scoring framework for evaluating 50+ AI visibility vendors on data sourcing, citation accuracy, and contract risk.
GEO vs SEO isn’t a rivalry, it’s a dual mandate. Here’s how brands adapt creator content strategy for both.
Without incrementality testing, AI search citations are a vanity metric. Here’s a framework to prove they actually drive revenue.
As AI answers replace clicks, marketing mix models return to prove influencer ROI without relying on broken attribution links.
AIVO’s AI win-rate metric promises to quantify brand visibility in AI answers, but marketers should vet the score before trusting it.
A practical checklist for brand buyers evaluating AI video production tools: rights, disclosure, cost math, and vendor red flags.
UTMs break when AI answers the question before the click. Here’s how brands rebuild influencer attribution for discovery traffic.
Branded search lift is becoming the clearest proxy for always-on creator ROI when click tracking and UTMs keep breaking down.
Clipping tools and automated repurposing are slashing short form production costs, but brands still need human review to protect quality and compliance.
92% of marketers use AI in engagement programs, yet most don’t trust its output. Here’s the real reason brands stall at adoption without trust.