Capital One
AI-augmented social engine
Codified the brand voice into an AI-ready style guide, then built a draft-and-review pipeline using GPT for first drafts. Result: 4x lift in engaged sessions on LinkedIn while halving production time.
Portfolio & case studies
A selection of client engagements where AI-augmented social, content, and editorial systems moved real metrics. All names are real; specific numbers are illustrative pending client approval.
Frequently asked questions
AI-forward marketing is the practice of using generative AI tools — large language models, image generation, and AI agents — to plan, produce, and distribute marketing content while preserving a clear brand voice and editorial judgment. It pairs AI for speed and scale with humans for strategy and quality control.
Marji works with B2B SaaS, financial services, healthcare, and consumer brands whose in-house marketing teams want to integrate AI into social media, content, and editorial. Past clients include Capital One, KOHLER Co., the ADL, the United Methodist Church, and Cancer Treatment Centers of America.
Answer Engine Optimization is the discipline of structuring brand content so it can be cited and surfaced by AI answer engines like ChatGPT, Perplexity, and Google AI Overviews. It includes entity-clear copy, FAQ schema, structured data, and topic authority — and it is now a core part of every engagement Marji runs.
Most strategy engagements run six to twelve weeks. Workshops are one to two days. Ongoing advisory retainers are quarterly. Marji takes on a small number of partner engagements per quarter to keep work hands-on.
No. AI replaces tasks, not teams. The brands winning right now are the ones whose marketers learn to direct AI — using it for research, drafting, and repurposing, while keeping editorial judgment, taste, and brand voice in human hands.