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.
Why treating GEO as a subset of SEO underfunds it, and how brands should budget, staff, and measure it separately in the year ahead.
RAG grounds AI creative briefs in real brand data, cutting hallucinations that waste budget and create compliance risk.
A human-override protocol turns autonomous media-buying agents from a liability into a governed asset—here’s how to build one before granting spend authority.
Small language models cut brand copy costs versus fine-tuned LLMs, but the right choice depends on volume, risk tolerance, and workflow.
Autonomous bidding is rewriting the media buyer’s job description — here’s what skills actually matter now that agents run the auctions.
A vendor-neutral look at AI creator-brand matching platforms, and how brands should evaluate affinity scores before trusting them with budget.
Snapchat’s Smart Assistant automates goal-to-campaign ad building. Here’s how it stacks up against Meta Advantage+ for brand budgets and control.
A technical breakdown of how TikTok Symphony converts brand video into shoppable ads, and what media buyers must verify before scaling spend.
Zero-click search is killing referral traffic. Here’s how to build proxy attribution models that prove brand ROI in AI-generated answers.
A practical buyer’s guide to agentic attribution in Salesforce, HubSpot, and Zoho — what’s real, what’s roadmap, and how to evaluate it.