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.
NemoVideo, Opus Clip and Descript take very different approaches to scaling one shoot into hundreds of localized ad variants.
SparkStation’s credits-based AI video model slashes 60-second brand film costs by up to 95%, reshaping brand production budgets.
WealthReach turns anonymous site traffic into qualified leads using AI intent detection — a compliance-tested model consumer brands can adapt now.
AlphaSense-style generative search promises hours saved on campaign briefs — here’s what actually holds up under strategist scrutiny.
A practical budget-split framework for Generative Engine Optimization and Answer Engine Optimization heading into next year’s AI search cycle.
Salesforce’s Claudeforce taps D&B’s Commercial Graph to fix CRM data rot. Here’s what it means for brand data accuracy and AI trust.
Runable’s AI agents promise campaign management for a fraction of a coordinator’s salary — here’s the real cost-per-outcome math.
Zig.ai pairs embedded AI engineers with brand teams to fix messy revenue data. Here’s whether the model justifies its price tag.
Enrichment and deduplication layers can quietly wreck attribution at scale. Here’s how to stress-test them before you increase lead volume.
A practical governance checklist for vetting AI search-marketing insights before they trigger automated campaign spend and creative decisions.