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.
Vendor benchmarks are marketing collateral in disguise. Here’s why enterprise teams now build their own LLM evaluation frameworks.
A brand-side evaluation framework for AI podcast ad insertion tools, covering ROI, brand safety, and vendor selection at scale.
A practical framework for marketing teams to test whether their AI vendor built proprietary tech or just repackaged GPT with a markup.
AI competitive spend estimation tools promise real-time budget intel, but accuracy varies wildly. Here’s how to vet them before trusting the numbers.
Marketing ops teams now build internal AI sandboxes to stress-test vendor tools before budget commitment, cutting procurement risk and vendor lock-in.
How to evaluate AI creative-scoring tools that flag brand guideline violations before human reviewers ever open the file.
Token-based AI pricing turns marketing budgets into moving targets—here’s why costs spike at scale and how to regain control.
A vendor evaluation framework for AI tools that turn plain-English requests into media buy insertion orders, with risk checks.
On-premise vs cloud-hosted LLMs: a brand-side framework for balancing data residency rules, cost, and speed.
Marketing teams now hire AI prompt auditors to standardize output quality, cut brand risk, and stop departments from reinventing broken prompts.