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.
Learn how brand procurement teams should evaluate AI-powered creator discovery platforms against manual methods for niche markets—covering behavioral affinity, audience intent, and ROI signals.
Build, license, or stick with point solutions? Here’s how enterprise marketing teams should evaluate AI infrastructure decisions as agentic deployment becomes the expected operating model.
Build, license, or maintain point solutions? Here’s how enterprise marketing teams should evaluate AI infrastructure decisions as agentic deployment becomes the default operating model.
Amazon’s AI-referred purchases doubled year-over-year. Here’s how brand teams must audit product listings, creator review depth, and structured data to capture this traffic.
AI assistants now mediate purchases invisibly. Here’s how brand strategists can redesign creator influence attribution for zero-click journeys using proxy signals and LLM citation tracking.
Define the decision boundary between agentic media buying and human creative control before AI deploys your campaign across platforms without further input.
How brand technology teams should evaluate CRM enrichment platforms that unify AI chat, voice, and visual search touchpoints into consumer profiles for accurate revenue attribution.
Learn how CMOs can build an internal AI citation monitoring capability—covering tool selection, alert setup, escalation protocols, and linking LLM data to campaign investment decisions.
Adobe’s Cannes Lions warning confirms LLMs have replaced traditional search. Here’s how brand content teams must redesign workflows for AI-first discoverability.
How brands should evaluate Profound’s Aim platform versus building custom GEO infrastructure to detect citation drops, diagnose LLM brand failures, and automate corrective workflows.