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.
Without unified identity resolution, personalization and GEO strategies collapse into disconnected, low-ROI guesswork across channels.
Wunderkind’s Cordial integration turns anonymous web behavior into AI-triggered, personalized cross-channel messages before visitors ever convert.
Generative search marketing tools now compress weeks of deck-building into hours, but only if brand teams vet citations before shipping to leadership.
One in six autonomous bids fails. Here’s what that error rate demands from your media-buying governance policy, and why “set and forget” is over.
AI research tools like AlphaSense are cutting strategic planning cycles from weeks to days, reshaping how marketing teams brief and pitch.
A first-party data pipeline can power both CRM attribution and AI personalization at once, if you architect identity resolution correctly.
39% of marketers now refuse to trust AI recommendations without continuous data monitoring. Here’s how to build that foundation.
A viral moment has a 6 to 12 hour shelf life. Here’s how brands use AI trend response tools to react before it dies.
A practical framework for evaluating AI attribution platforms that blend deterministic and probabilistic signals without inflating match rates or hiding risk.
AI answer engines now shape brand discovery. Here’s how to structure content that earns citations in conversational search results.