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.
Meta, TikTok, and YouTube handle ad-syndication for creator UGC differently — here’s how to pick the right whitelisting path at scale.
OpenAI cites sources deep in the conversation while Google surfaces them upfront — here’s how to rebuild your citation strategy for each.
YouTube’s unified view-counting overhaul changes how sponsorships get measured — here’s how brands should recalibrate reporting before Q1 reviews.
Google AI Max for Search reshapes campaign structure in 10 clicks — here’s the setup walkthrough and the risk controls brands need.
Nearly all supplement sites now appear in AI Overviews by default — here’s why that changes how brands should invest in content.
Cybersecurity’s zero-trust model is reshaping marketing attribution—here’s how identity-based access controls cut fraud and boost data trust.
61% of marketers use AI for media planning, yet most cap spend under 20%. Here’s what’s really driving the trust gap.
GetHookd and Runable both promise full-funnel AI ad creative, but they solve different problems. Here’s how to pick.
Google’s AI Overviews and OpenAI cite content differently. Here’s how brands should structure content to earn visibility in both.
Meta’s Advantage+ Andromeda update promises real-time signals for creator ads. Here’s what the data actually shows brands before they reallocate budget.