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mAI Current Thinking
AI marketing systems, evidence and implementation
Research, analysis and practical guidance on the AI Marketing OS, AI Marketing Brain, Human Command, governance, GEO, measurement and the operating decisions behind applied AI marketing.
Use the articles to go deeper on specific problems while keeping the broader mAI Framework, architecture and evidence model in view.
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2026 AI Marketing Predictions: GEO, Agentic AI, and Beyond
November 24, 2025
5 min
AI marketing is moving from experimentation and point-tool adoption toward greater orchestration, autonomy and accountability. Rather than treating those shifts as certainties, this article examines several 2026 directions through the AI Marketing OS, AI Marketing Brain and mAI Architecture, Human…
Unified Marketing: AI as Your Channel Conductor
November 10, 2025
6 min
Marketing performs more coherently when channels work from shared context and measurement. This article shows how a unified AI Marketing OS (operating layer) and AI Marketing Brain (decision layer) can coordinate SEO, paid, social, email and content around measurable P²…
AI‑Safe Marketing: The Future of B2B IT Consulting
November 2, 2025
5 min
TL;DR (Answer Card) Why now: B2B IT buyers increasingly expect AI-enabled experiences while security, privacy and governance remain material requirements. Operating model: a Custom Enterprise mAI Model can use private or approved architecture around the AI Marketing OS and…
AI in Financial Services: Risk‑Managed Marketing at Scale
October 27, 2025
5 min
Financial-services marketing can use AI to improve operating efficiency and decision support, but activation must be designed around the institution's regulatory obligations, data controls, risk policy and approval model. marktgAI’s mAI Framework connects an AI Marketing OS (operating layer), Brain…
AI in Manufacturing Marketing: Connecting Distributor, Sales and Digital Workflows
October 22, 2025
5 min
Editor’s note, updated September 2026: Manufacturing growth often spans distributors, field sales, technical content and digital demand generation. The mAI approach connects those workflows through shared context and measurement while keeping technical claims, customer commitments and material decisions human-reviewed.
AI for eCommerce Journeys: From Fragmented Touchpoints to Governed Optimization
October 6, 2025
4 min
Editor’s note, updated September 2026: eCommerce journeys span search, social, product discovery, merchandising, lifecycle and service. AI is most useful when those signals feed a shared operating model with consent-aware data use, measurable conversion goals and human oversight of material customer decisions.
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