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.
Generative engine optimization demands structured, entity-rich product data that traditional SEO never required. Here’s the technical playbook.
Gemini, Claude, and GPT-5 tested head-to-head on brand-voice fidelity and hallucination rates for marketing copy — here’s what brands should pick.
AEO and GEO solve different problems in AI search — here’s the technical breakdown brands need before allocating budget.
AI marketing benchmarking tools now track “share of model” across ChatGPT, Gemini, and Claude, and CMOs need to start measuring it.
Nearly half of AI marketing deployments underperform because of broken data foundations, not weak models. Here’s how to audit yours.
Google’s AI Mode and Ask Ad Manager are collapsing suggestion and execution into one step. Here’s what brands must control.
An audit framework for deciding if an all-in-one AI marketing suite beats a best-of-breed stack on cost, speed, and control.
Managed identity platforms are beating DIY stacks at 50-65% match rates, and the gap is now a budget-line decision, not a tech debate.
Why mid-market brands are ditching enterprise CDP price tags for a Segment-Braze-Snowflake stack that hits 80% of the value.
How to evaluate agentic marketing operating systems against point-solution stacks before locking 2026 budgets and vendor contracts.