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AI marketing

AI Marketing · AI marketing · AI in marketing

AI marketing - implementation of neural networks and LLM in marketing production: creatives, texts, analytics, automation.

AI marketing - implementation of neural networks and LLM in marketing production: creation of creatives, texts, analytics, automation. In 2026, this is no longer an “innovation”, but the basic stack of most professional marketers.

What I'm doing through AI right now: - Creatives: Nano Banana Pro for banners, Veo 3.1 for video, ElevenLabs for voiceover - Drafting: Claude for articles, newsletters, landing pages, feedback analysis - Automation: n8n + Claude API for auto-responses, sentiment monitoring, generating creatives from the price list - Analytics: Claude helps parse CRM downloads and find insights faster than pandas

The effect is that MM AI Trading in 2024 reduced the cost of content production by 40%, replacing five specialists with three AI tools. For a detailed case, see the article “1 marketer = team of 5 roles”.

AI marketing not = “AI writes content for me.” The main role of a marketer is strategist and editor. AI does 80% of the rough work, I do 20% of the final editing + all the strategy.

Frequently asked questions about AI marketing

What is AI marketing?+
AI marketing - implementation of neural networks in marketing production: generation of creatives, texts, analytics, routine automation. In 2026, this is not an innovation, but a basic stack. A marketer without AI tools loses in speed and cost.
Will AI replace the marketer?+
No. AI replaces the execution routine: write a draft, classify leads, collect a report. Strategy, hypotheses, final decisions and custdev remain with the person. The AI ​​does 80% of the rough work, the marketer does 20% of the editing + the entire strategy.
Where to start implementing AI in marketing?+
With one task: draft texts via Claude or GPT. Then - automation of reporting through n8n. Then comes the generation of creatives. There is no need to “implement an AI strategy” - start with one pain, automate it, then the next.

Related terms

Where is it understood in practice?

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