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.
RAG is cutting hallucinated product claims in AI creative briefs. Here’s how brands are building the compliance layer legal actually trusts.
Kill-switch certification is becoming a procurement checkbox for enterprise marketing AI, and vendors without it are losing RFPs.
Two years in, Google’s Ask Ad Manager still needs human sign-off on budgets and creative — here’s the audit framework to prove it.
A vendor-side buyer’s checklist for evaluating vertical CRM AI ecosystems before you sign, beyond real estate use cases.
A practical framework for scoring GRIN vs Upfluence on AI matching, contract automation, and reporting depth before you sign.
Influencer-matching AI leans on historical performance data, which structurally overlooks emerging creators brands need most for authentic reach.
Bundled fraud detection promises accuracy gains, but brands must verify the data science, not just the sales pitch.
Bundling fraud detection with payment automation can cut fake-follower losses, but only if the data actually flows between systems.
A practical framework for evaluating synthetic-media detection tools as TikTok and Instagram tighten AI labeling rules simultaneously.
A practical framework for deciding when AI-native marketing suites cut costs versus when point solutions still win on ROI.