Author: 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.
AI search engines read structured data, not marketing copy — here’s how to prepare product feeds for citation in B2C and B2B AI search.
A practical framework for evaluating AI-driven customer journey orchestration platforms before committing enterprise budget and data infrastructure.
Vibe-coded AI tools feel fast, but without martech integration they fragment data, break attribution, and stall ROI.
A brand-side breakdown of franchise marketing platforms, comparing AI targeting and dynamic localization tools for multi-location ROI and compliance.
A resilient martech stack pairs identity resolution with real-time event data, letting campaigns adjust themselves before budgets get wasted.
KPMG data shows nearly half of firms are pausing agentic AI rollouts — here’s what brand leaders should learn before scaling further.
Ahrefs’ Letaido claims to compress 40 hours of SEO audit work into 60 minutes. We stress-tested that claim for brand and agency teams.
2026 benchmarks show marketing AI maturing past isolated content generation into orchestrated, cross-channel decisioning with real governance.
TikTok Shop’s product-tag distribution boost rewards commerce signals over vanity metrics — here’s how to reverse-engineer it.
Salesforce’s master-data-management push shows why clean, governed data (not bigger models) is the real bottleneck for safe enterprise AI.