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.
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.
Advanced analytics platforms now trace influencer spend to revenue, letting brands cut waste and defend budgets with hard numbers.
How to evaluate AI workflow automation platforms that actually cut UGC production latency across large creator rosters.
Fraud detection and audience-quality tools solve different problems. Here’s how to combine them into one pre-campaign vetting stack.
A practical framework for evaluating AI tools that shift influencer budget mid-campaign, without losing control or attribution clarity.
Advanced analytics are cutting UGC production latency by flagging bottlenecks brands can’t see until deadlines slip.
A practical framework for evaluating AI audience quality scoring platforms so brands stop paying for fake engagement.