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.
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.
Google’s agentic media buying tools are reshaping creator campaign management—here’s what governance policies brands must have in place before they automate.
How to measure revenue influenced by ChatGPT, Gemini, and Claude when there’s no click to track—proxy metrics, holdout testing, and CMO reporting standards explained.
Adobe’s Cannes Lions insight on LLM surface visibility is forcing CMOs to rebuild campaign asset architecture for AI-first discovery across segments and languages.
How brand marketing ops teams should evaluate Gradial’s AI operating system claims, integration depth across Adobe, Salesforce, and Databricks, and vendor lock-in risk before committing budget.
A procurement framework for brand teams to independently verify generative AI ROAS claims before reallocating budget away from proven human creator programs.