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.
A tactical procurement guide for brand media buyers negotiating YouTube creator bundle packages with AI scheduling, brand safety guarantees, and CPMs between $50 and $150.
AI interfaces now rank among the top five B2B research channels. Here’s how to use creator-produced thought leadership to make your firm visible where buyers are actually looking.
Perplexity and Claude are building citation authority fast. Here’s how brands can secure share-of-model on emerging AI search platforms before competitors lock in those rankings.
A 90-day GEO-first creator content calendar that shifts brand teams from platform-optimized sponsored posts to AI discovery authority that compounds over time.
How to structure creator agreements with AI training content licensing provisions that protect your brand and enable LLM-compatible product representation.
Structure your generative AI product discovery loop — from creator content through AI recommendations to TikTok Shop checkout — to eliminate friction and maximize conversion.
77% of consumers now use ChatGPT for product research. Here’s why that stat should trigger an immediate audit of every creator brief in your influencer program.
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.