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 is collapsing the MarTech stack into a single orchestration layer. Here’s how brand teams should restructure research, creative testing, and attribution before competitors do.
Learn how Travel Leaders Network’s multi-CRM playbook translates into a vendor consolidation strategy for influencer MarTech stacks — built for brand teams managing complex creator programs.
Vidmob’s creative data philosophy shows brands how to build a creative intelligence layer that tells AI what to make — not just how much to spend.
A rigorous ROAS comparison framework for brand teams running controlled tests between AI-generated and creator-produced ad units—covering test design, attribution standards, and category conditions.
Build the operational infrastructure—pre-approved asset libraries, AI prompt templates, and 60-second approval chains—to deploy AI creative during live cultural moments at viral speed.
A governance framework defining exact trigger conditions, escalation paths, and audit trail requirements for human override of AI media buying decisions in brand campaign teams.
A vendor evaluation framework for brand teams selecting AI-powered share-of-model tracking platforms that monitor brand citations across ChatGPT, Gemini, Perplexity, and generative search.
Learn how to build an agentic creative generation loop that autonomously tests creator brief variations, ingests performance signals, and regenerates optimized briefs without human intervention.
How brands are evaluating AI-native marketing operating systems that unify research, testing, and campaign deployment to cut the cost of scaling personalized creator content.
A step-by-step hallucination verification protocol for brand media buying teams to detect, flag, and override AI agent errors before they corrupt campaign attribution or trigger compliance risk.