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.
CMOs benchmarking generative AI adoption against the 90% sales effectiveness finding need a clear gap analysis and roadmap — here’s how to build one.
Google I/O’s conversational AI search overhaul demands brand teams rewrite creator briefs to produce factually dense, answer-ready content that AI models actually surface.
AI platform consolidation is forcing brands to rethink MarTech vendor selection, creator capability vetting, and partnership viability before subscription sprawl collapses their stack.
B2B firms with full generative AI implementation are doubling market share gains over partial adopters by automating creator recommendations and content workflows.
Platform-native automation optimizes for platform metrics. An independent AI layer embedded with your brand KPIs changes who’s actually in control of your creator campaign performance.
As creators consolidate to unified AI platforms, brands need a clear framework to evaluate multi-modal production capability before signing contracts or renewing creator partnerships.
Samba TV Project Gravity’s single-upload cross-exchange model vs. traditional DSP integrations — a brand buyer’s operational and attribution evaluation for creator campaign retargeting.
As creators consolidate AI tool stacks, brand teams face a real budget and workflow decision: unified platforms vs. best-in-class point solutions. Here’s how to evaluate it.
Learn how brand analytics teams can configure share-of-model tracking across ChatGPT, Gemini, and Grok to measure creator content’s impact on AI-mediated product discovery.
How brand creative directors can define minimum human creative requirements for AI-produced campaign assets running alongside creator content — without killing efficiency or brand integrity.