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.
A hands-on comparison of structured-data plugins that help brands earn citations in AI Overviews and reduce generative engine optimization guesswork.
Untagged AI answer-engine visits are hiding inside your organic search bucket, quietly skewing the Q4 numbers that decide next year’s budgets.
Vendor demos make identity resolution look seamless. Here’s how to test unified ID claims before they wreck your attribution model.
Bi-directional CRM sync keeps breaking because legacy automation platforms were never built for real-time, two-way data contracts.
A practical shortlist of adaptive martech platforms, scored on real-time behavioral signal processing, latency, and audit-readiness.
Google Performance Max auto-resizes video ads with AI, but brand media buyers must audit crops, logos, and CTAs before trusting the output.
A step-by-step technical guide to tagging and isolating ChatGPT, Gemini, and Perplexity referral traffic inside GA4.
A practical framework for vetting audience-quality score vendors so brands buy real signal, not repackaged marketing claims.
Data-fingerprint technology tracks device, behavior, and network signals to catch fake engagement before brands pay for it.
A technical evaluation of Adapti’s AdaptAI Engine, the automated system reshaping influencer contract negotiation for brand procurement teams.