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.
AI model drift silently erodes brand voice in generated copy — here’s how to catch it with automated regression testing before customers do.
LangGraph, CrewAI, and AutoGen each handle campaign orchestration differently — here’s which one fits your marketing stack and risk tolerance.
Perplexity, You.com, and Arc Search are quietly reshaping brand discovery — here’s how marketers should prioritize and monitor each.
A practical GA4 model for tracking AI search referral traffic that survives CFO scrutiny, with real segmentation and attribution fixes.
Before signing 2027 MarTech deals, brands must audit vendor AI training data provenance or inherit hidden legal and reputational risk.
AI agent marketplace insurance is emerging fast, but coverage gaps for autonomous marketing failures could leave brands exposed.
CDP vs data warehouse: where should AI-enriched creator audience data actually live? A brand-side guide to architecture, risk, and ROI.
Reddit cut fake engagement 20% with ML anti-spam tools. Here’s how the system works and what brand safety teams need to know.
A practical guide to building a retrieval-augmented generation pipeline that keeps AI-generated creator briefs grounded in real brand facts.
Why brands are swapping massive LLMs for small language models to cut costs, protect data, and ship on-brand copy faster.