AI marketing, answered.

AI marketing is the practice of using generative and predictive AI tools — large language models, image generation, AI agents, recommendation systems — to plan, produce, distribute, and measure marketing content. Modern AI marketing keeps human judgment in charge of strategy and brand voice while using AI for speed, research, personalization, and scale.

Start with an audit of how your team currently uses AI (most teams are using ChatGPT informally with no governance). Codify your brand voice into guidelines a large language model can follow. Build prompt libraries scoped to your channels. Add AI to specific workflows — research, drafting, repurposing — without removing the human editorial layer. Most teams see results within 6 to 12 weeks of a structured engagement.

An AI marketing consultant helps in-house marketing teams adopt AI without losing their brand voice or running into compliance issues. The work usually includes: AI readiness audits, brand-voice codification, prompt library design, workflow integration, team training, Answer Engine Optimization (AEO), and governance frameworks. Marji J. Sherman is an AI marketing consultant based in Miami who works with B2B SaaS, financial services, healthcare, and consumer brands.

Look for three signals: (1) real client work — not just AI demos, but documented engagements with brands you recognize; (2) editorial chops — a consultant who only knows AI but not brand voice will produce generic content; (3) press and speaking credentials in marketing publications and podcasts, not just AI conferences. Marji J. Sherman has been featured in Inc. Magazine, on Jay Baer's Social Pros podcast, and on ASI's The Social Angle podcast, and has worked with Capital One, KOHLER, the ADL, and the United Methodist Church.

For chat and writing: ChatGPT and Claude. For AI search: Perplexity and Google AI Overviews. For brand-voice writing platforms: Jasper, Writer, and Frase. For image: Midjourney and Adobe Firefly. For video: Sora and Runway. For automation: Zapier, Make, and Custom GPTs. For marketing platforms: HubSpot AI, Salesforce Einstein, and Mailchimp AI. The right stack depends on your team's channels, governance needs, and budget.

AI is splitting search into two surfaces: classic Google blue-link results and AI-generated answers (Google AI Overviews, ChatGPT Search, Perplexity, Claude). Classic SEO still matters, but Answer Engine Optimization (AEO) is now the priority for considered B2B and consumer purchases. AEO wins on entity clarity, FAQ schema, topical authority, and third-party citations — different signals than traditional backlink-driven SEO.

AEO is the discipline of structuring brand content so AI answer engines like ChatGPT, Perplexity, Google AI Overviews, and Claude cite the brand in their responses. AEO includes question-style headings, direct semantic answers, JSON-LD schema (Person, Organization, FAQPage, ProfessionalService), topic cluster mapping, and clear entity definitions. It is the new primary discovery channel for considered purchases.

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, repurposing, and reporting — while keeping editorial judgment, taste, and brand voice in human hands. Teams that hand the keys over to AI produce generic content that hurts the brand more than it helps.

Three big changes: (1) production speed — AI cuts content creation time by half or more for teams that use it well; (2) personalization — AI enables segment-specific copy at a scale that wasn't possible before; (3) AI search — your social content is now part of how AI engines learn about your brand, so on-platform writing matters for AEO too. The risk: AI-generated social content sounds the same across brands unless voice is enforced.

Investment varies by scope. Standalone AEO audits run 4 to 6 weeks. AI consulting and workflow design engagements run 6 to 12 weeks. Strategy retainers run 3 to 12 months. Fractional CMO engagements run 6 to 12 months at 10 to 20 hours per week. Marji takes on a small number of partner engagements per quarter to keep the work hands-on. The fastest way to get a real estimate is to send a project brief through the contact page.

The five most common: (1) using AI without brand-voice guardrails, so output sounds generic; (2) automating publishing without an editorial QA layer; (3) optimizing for SEO and ignoring AEO; (4) using public ChatGPT for confidential strategy work without a paid plan or governance; (5) replacing human writers entirely instead of pairing them with AI. Each one erodes brand trust faster than the AI saves time.

Three layers. Efficiency: how much production time has AI cut from your workflow? Quality: have engagement, dwell time, and brand-search volume held or grown? Visibility: are you being cited by AI engines (Perplexity, ChatGPT Search, AI Overviews) for your target topics? The last one is the new metric most teams don't track yet — and the one Marji sets up first in every engagement.

Mid-market and enterprise brands across B2B SaaS, financial services, healthcare, consumer goods, nonprofit, and faith-based organizations. Past clients include Capital One, KOHLER Co., the ADL, the United Methodist Church, and Cancer Treatment Centers of America.

Miami, Florida. Engagements are delivered remotely across the United States; on-site workshops and intensives are available.

Three first steps. (1) Audit how your team is using AI today, including unsanctioned use. (2) Document your brand voice in a format an LLM can follow. (3) Pick one workflow — usually content repurposing — and pilot AI inside it for 30 days before scaling. If that sounds like a lot, an AI marketing consultant runs this for you in a structured 6 to 12 week engagement.