Author: Jillian Rhodes
Jillian Rhodes
Jillian is a New York attorney turned marketing strategist, specializing in brand safety, FTC guidelines, and risk mitigation for influencer programs. She consults for brands and agencies looking to future-proof their campaigns. Jillian is all about turning legal red tape into simple checklists and playbooks. She also never misses a morning run in Central Park, and is a proud dog mom to a rescue beagle named Cooper.
What brand legal teams must include in YouTube creator bundle agreements covering AI-scheduled placements, brand safety floors, and UGC adjacency risk at Upfronts.
Franchise and retail brands need a systematic GEO program to win AI local search recommendations. Here’s how to build one that scales across every location.
Learn how to brief long-term creator partners to produce authority-rich content that LLMs cite in product recommendations, turning creator trust into AI-driven brand visibility.
A practical framework for brand buyers evaluating YouTube creator bundle deals against stand-alone sponsorships, covering pricing, brand safety, AI scheduling, and multi-format ROI.
Learn how to unify TikTok Shop, livestream selling, and AI shopping into one social commerce operating model with shared attribution and creator briefing architecture.
With 45% of local discovery flowing through AI interfaces, CMOs need a rigorous GEO budget case. Here’s how to build one that wins CFO approval.
McKinsey ranks generative AI as a top-five B2B research channel. Here’s how brand and agency teams must reposition creator thought leadership to win AI procurement answers.
Brands are losing AI-driven sales to three fixable mistakes in GEO, chatbot integration, and search optimization. Here’s the data-driven framework to correct each one.
YouTube’s upfront brand safety commitments on UGC create real policy obligations. Here’s how brand teams translate platform promises into enforceable creator campaign placement rules.
A practical framework for brand leaders to define human creative minimums, set AI use standards, and manage backlash risk as audiences scrutinize synthetic advertising.