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.
As creators consolidate AI tools into single platforms, brand teams must rethink vetting criteria, brief capability assessments, and partnership stability protocols before signing long-term deals.
45% of consumers now use ChatGPT and Gemini to find local businesses. Here’s the AI visibility framework brands with physical locations need to win those recommendations.
A practical due diligence checklist for brand partnership managers evaluating creators who’ve consolidated to unified AI platforms before signing long-term content agreements.
BoF-Shopify data shows AI shopping agent sessions convert 50% better than organic search. Here’s the exact stack brands need to capture that revenue.
Learn how to architect an AI attribution pipeline that connects creator traffic, social commerce events, and CRM records into one defensible revenue model.
How to evaluate AI platforms that combine itinerary generation, personalized offer delivery, and real-time attribution for travel and live event creator activations.
Learn how brand campaign teams can build custom KPI logic—sustainability metrics, brand lift, category share—on top of Performance Max and Advantage+ without losing strategic control.
A practical scoring framework for brand and agency teams evaluating consolidated AI suites on workflow coverage, cost savings, data portability, and vendor lock-in risk.
Learn how brand teams can evaluate and deploy multimodal AI creative pipelines to replace costly multi-subscription stacks and scale campaign asset production efficiently.
Learn how to structure long-term creator agreements that produce LLM-ready, product-specific content designed to influence AI model training signals and future product recommendations.