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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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AI and Programmatic Advertising for Agencies: Governed Media Orchestration
May 15, 2023
3 min
Updated September 2026: Agencies can use AI to accelerate media analysis, testing and optimization while keeping material audience, budget and brand decisions under defined Human Command.
Semantic Analysis for UX and Conversion: Intent, Friction and Testable Hypotheses
May 1, 2023
3 min
Updated September 2026: Semantic analysis can surface language and intent patterns that inform UX hypotheses, but conversion improvements should be validated through behavioral data and controlled testing.
Data-Driven Marketing for Small Businesses: Better Decisions with Better Measurement
April 24, 2023
3 min
Updated September 2026: Small-business growth improves when marketing decisions are tied to clean data, clear KPIs and focused workflows. Use AI to reduce analysis overhead while keeping budget, brand and customer decisions human-led.
AI in Advertising: From Automation to Governed Performance
April 12, 2023
3 min
Updated September 2026: AI can accelerate media analysis, testing and optimization, but outcomes still depend on strategy, data quality and measurement. Material audience and budget changes remain under Human Command.
Semantic Analysis for Search: Understanding Intent, Language and Retrieval
March 6, 2023
1 min
Updated September 2026: Semantic analysis helps marketers understand search intent, entities and language patterns. Use it to improve content and retrieval strategy while validating recommendations against search and conversion data.
Computational Linguistics, Semantic Search and Information Retrieval for Marketing
March 1, 2023
3 min
Updated September 2026: Language models, semantic analysis and information retrieval can improve research and search workflows when grounded in reliable source context, measurable intent and human-reviewed decisions.
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