Author: 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.
A feature parity audit of Klaviyo, Braze, and Salesforce Marketing Cloud on native agentic send-time optimization ahead of 2027 renewal cycles.
A practical blueprint for building an internal AI red-team that stress-tests generative creative before it ever touches paid media.
Vector search now powers creator matching and content discovery — here’s how brand marketers should vet semantic search vendors before buying.
Agentic browser extensions like Dia, Comet, and Copilot Vision are reshaping competitive research — here’s how marketers should evaluate them.
Six months into GA4’s AI Assistant channel rollout, here’s how to audit attribution data and separate real revenue signal from reporting noise.
A practical framework for comparing Claude’s enterprise search grounding to OpenAI’s retrieval tools for brand content accuracy and risk.
66% of marketers lack AI fluency. Here’s how CMOs can close the agentic marketing skills gap before it costs them budget and market share.
A practical framework for choosing answer engine optimization platforms that actually track brand citations across ChatGPT, Gemini, and AI shopping answers.
A practical framework for evaluating answer engine optimization platforms that track brand citations across ChatGPT, Gemini, and AI shopping answers.
MCP-native vs legacy API integrations, decoded for marketers renewing AI vendor contracts and building interoperable agent stacks.