AI Training for Marketing | Plan campaigns, create on-brand content and measure what works
On-brand content, campaign insight and research at scale. Designed and delivered by CA Dhaval Kodilkar.
Clients include Larsen & Toubro, Safaricom, Bajaj Finserv, Indian Oil, Galderma, Abbott, Lanxess, Bajaj Finance, VE Commercial Vehicles (Eicher), UPL, Marico, WPP Media, IndusInd Bank, KPMG, Income Tax Appellate Tribunal (ITAT), NPCI, Mayfair Insurance, Copy Cat Group, Ramco Group, HCG Group, Clutterbot.
AI training for marketing teams covers campaign planning, market and competitor research, brand-voice content, SEO, performance reporting and social listening. Teams learn to produce more content while keeping it on brand and compliant, and to measure campaign results with AI-assisted analysis. Regulated sectors such as pharma get extra review steps.
Built for your team.
- Brand and product managers
- Content and social media teams
- Digital and performance marketers
- Market research and insights teams
- Marketing heads and CMOs
- Group size
- 8 to 50 participants per cohort
- Prior knowledge
- None needed
Where the time goes today.
- Content demand has outgrown the team's capacity across channels and languages.
- AI-generated content sounds generic and off brand.
- Competitor and market research is ad hoc and quickly out of date.
- Campaign reports describe metrics but do not explain what to change.
- Regulated claims, for example in pharma or financial services, need tight review.
6 modules, each with a hands-on lab.
- Module 1
AI across the marketing workflow
Map research, planning, creation, distribution and measurement steps to AI tools.
Lab: Audit one campaign and mark every step AI could support.
- Module 2
Brand voice and content systems
Build a brand-voice guide AI can follow, with examples and banned phrases.
Lab: Create a brand-voice prompt and test it on three channels.
- Module 3
Market and competitor research
Run structured research with citations and summarise findings.
Lab: Produce a competitor landscape for one category.
- Module 4
Campaign planning and creative
Generate campaign concepts, briefs and channel plans.
Lab: Draft a campaign brief and three concepts for a launch.
- Module 5
SEO and content for search and AI assistants
Plan topics and structure content for search engines and AI answers.
Lab: Build a keyword cluster and article outline.
- Module 6
Performance reporting and social listening
Turn campaign data and comments into insight and next actions.
Lab: Analyse campaign data and write a one-page performance note.
What Marketing teams automate first.
| Workflow | Typical tool |
|---|---|
| Draft channel-specific content from one master brief |  ChatGPTChatGPT |
| Run competitor research with cited sources |  PerplexityPerplexity |
| Check content against brand and regulatory guidelines |  ClaudeClaude |
| Create campaign briefs and media plans |  Microsoft CopilotMicrosoft Copilot |
| Plan SEO topic clusters and article outlines |  GeminiGemini |
| Summarise social comments and reviews by theme and sentiment | ClaudeClaude |
| Write campaign performance commentary from dashboards |  Power BIPower BI Copilot |
| Build a searchable library of past campaigns and learnings |  NotebookLM (Gemini Notebook)NotebookLM |
- ChatGPT
- Claude
- Gemini
- Perplexity
- Microsoft Copilot
- NotebookLM (Gemini Notebook)
Gamma
Choose the depth that fits.
| Format | Duration | Group size | Outcome | Typical deliverables |
|---|---|---|---|---|
| Executive briefing | 90 minutes to 2 hours | 4 to 25 | Shared understanding and priorities | Pre-read, oversight or priority list |
| Half-day workshop | 3 to 4 hours | Up to 40 | Core skills and 3 to 5 use cases | Prompt library, use case list |
| 1-day workshop | 6 to 7 hours | Up to 40 | Hands-on labs and 5 to 10 use cases | Prompt library, templates, 30/60/90-day plan |
| 2-day programme | 2 days | Up to 35 | Deeper labs, team-specific workflows | Templates, workflow designs, adoption plan |
| Multi-sprint programme | 4 to 8 weeks | Up to 30 | Use cases built and tested on live work | Working use cases, measured results |
| Train-the-trainer | 2 to 3 days | 6 to 15 | Internal champions who can run sessions | Trainer kit, slides, lab files |
Recent sessions.
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What your team keeps.
- 5 to 10 implementable use cases mapped to your workflows
- A prompt library for your team's tasks
- Workflow templates and checklists
- A one-page AI usage policy
- A 30/60/90-day implementation plan with owners
- Post-training Q&A support
AI training for Marketing: common questions.
Get a Marketing AI training proposal.
- Response within 1 business day
- Details used only to reply, never shared
- Trusted by teams at Larsen & Toubro, Safaricom, Bajaj Finserv