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 to build automated AI workflows that surface top UGC, verify pre-cleared rights, and route assets into paid social and retail media channels without manual bottlenecks.
AI platform recommendations drive 2.5x higher CTR than organic search. Here’s why brand teams should redirect SEO budgets toward GEO infrastructure now.
Learn how to design agentic AI incrementality tests that prove whether AI-automated campaign tools genuinely outperform human-managed programs before you commit budget.
Scattered data is killing AI marketing ROI. Learn how to build a unified data foundation that validates AI spend against a seven-point performance scale for accurate CMO reporting.
Only 6% of travel brands surface in AI recommendations. Here’s how to restructure your GEO infrastructure, product data, and creator content to break into that group.
Learn how to configure a single UGC performance dashboard that tracks both immediate sales conversion signals and multi-quarter brand equity indicators without splitting your reporting stack.
Before adding more AI tools, audit your identity resolution architecture and CRM gaps — scattered data is why your generative AI stack keeps underperforming.
Before you scale autonomous campaign AI, CMOs must lock in data quality standards, interoperability requirements, and human override protocols to stop agent errors from compounding.
Learn how to structure SKU descriptions, attribute metadata, and schema markup so your products surface in AI discovery interfaces like ChatGPT, Gemini, and Claude.
AI adoption is surging but results are flat. Here’s how brand technology leaders can diagnose whether the real problem is data unification, governance, or use-case prioritization.