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 structured product data checklist showing brands how to prep catalogs so ChatGPT and Perplexity can actually cite them.
Meta and Google often double count the same sale as a creator conversion. Here’s how to audit the overlap and reclaim real ROI.
Earned creator content is quietly training AI answers, and brands ignoring this GEO shift risk invisibility in ChatGPT, Perplexity, and Gemini results.
Share of voice in AI answers is now a boardroom metric. Here’s how brands measure, report, and act on it.
Small agencies are using GEO workflows to automate citation audits and briefs, scaling client rosters 5x without adding headcount.
SKU level AI matching platforms pair product catalogs with creators by fit, not follower count, cutting seeding waste at scale.
AI forecasting models now predict which creators convert to GMV, helping brands stop funding reach and start funding revenue.
Prompt level tracking reveals the exact questions consumers ask AI about your brand, turning blind spots into actionable GEO and risk data.
AI avatar tools now compete with human UGC creators for brand budgets, forcing marketers to weigh cost savings against trust and FTC risk.
Real time GMV tracking dashboards separate winning TikTok Shop livestream programs from guesswork, cutting reconciliation time and reporting lag.