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.
How to configure GA4 and CDPs for CRM identity resolution so AI-referral traffic from ChatGPT, Gemini, and Claude stops hiding in organic search.
A technical checklist for generative engine optimization on product pages: schema, claim density, and structured data AI shopping engines actually cite.
Affinity-scoring algorithms are replacing follower counts in creator discovery — here’s how to evaluate vendors on match quality, not vanity metrics.
A practical governance checklist for spend caps, override triggers, and audit trails before granting AI agents autonomous bidding authority.
Sora, Veo, and Runway compared for brand teams on cost, brand safety controls, and multi-format output to guide the next production budget.
Why brands need an AI agent shopping readiness audit now, and a practical framework for feeds, structured data, and creator content.
A practical cost model for the fine-tune vs license decision, helping brands weigh proprietary marketing LLMs against vendor APIs.
AI answer engines drive purchases with zero click data. Here’s how brands build proxy metrics to prove and defend that revenue.
A technical checklist for GEO metadata that helps product pages get cited in ChatGPT Shopping answers instead of a competitor’s.
XR ONE’s format-prediction engine promises faster ad-format decisions than in-house ML—but for mid-market brands, the tradeoffs are real.