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.
Small language models now match frontier LLMs on brief tagging and compliance scanning at a fraction of the cost — here’s the benchmark data.
Claude Enterprise vs OpenAI’s enterprise suite: how governance, data residency, and brand-voice fidelity actually compare for marketing teams.
Claude for Enterprise and OpenAI’s enterprise suite diverge sharply on governance, data residency, and brand-voice fidelity for marketing teams.
Retail media bidding is shifting from human ad ops to autonomous agents negotiating price in real time — here’s what brands must build now.
MCP and A2A protocols now decide whether your martech stack can talk to AI agents at all — or gets bypassed entirely.
A practical scorecard for vetting GEO agencies before you pay for AI citation promises no one can guarantee.
Autonomous campaign planning demands a unified data stack — here’s what agentic AI marketing systems actually need to work safely at scale.
Marketing mix modeling is back because signal loss broke attribution—here’s how analysts say to blend MMM, MTA, and testing.
IQM and Rokt mParticle take different paths to post-cookie creator attribution — here’s which one actually fits your stack.
GetResponse, Fluency, and Lob won 2026 MarTech Breakthrough Awards — here’s how brands should actually weigh them for automation budgets.