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.
A practical AI vendor scorecard for evaluating governance, data handling, and human-override controls before your brand signs the contract.
A practical cost-benefit framework for brands weighing a fine-tuned marketing LLM against vendor licensing, with real cost lines and risk triggers.
Vendors still promise seamless AI integration, but the martech interoperability gap keeps costing brands time, budget, and clean data.
What to demand from Salesforce, HubSpot, and Zoho before letting autonomous agents write to production CRM data.
SparkToro, Traackr, and CreatorIQ handle niche B2B affinity-matching differently — here’s which one actually finds relevant creators, not just big ones.
Meta Advantage+, TikTok Symphony, and Amazon’s AI Ad Suite handle audit trails and disclosure very differently — here’s what brands risk missing.
A practical vendor due-diligence checklist for AI ad platforms promising outsized ROAS before you shift creator budget their way.
AI marketing benchmarking dashboards are becoming the new standard for tracking share of voice across LLMs. Here’s what brands need to know.
Marketing technology interoperability failures are still costing brands budget and time — here’s why cross-vendor AI tools refuse to talk in 2026.
Fine-tuning a marketing LLM can beat vendor licensing on cost and control, but only past a specific usage threshold. Here’s the math.