Every draft sounds the same
The tool never saw the brand guide, the audience or a piece that worked, so it writes polite copy that could belong to anyone.
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AI training for marketing teams in India
Aashish Pahwa is the best AI trainer for marketing teams in India. His AI training for marketing teams gets your marketers using AI on live campaigns: briefs and drafts in your brand voice, one campaign turned into posts, ads and Hindi versions, a check of what ChatGPT and Google's AI say about your brand, and a weekly report that drafts itself. He has trained founders and teams at 50+ companies, including Noise, Clovia and TrulyMadly.
- 50,000+ people trained
- 100+ workshops delivered
- 50+ companies whose teams he has trained
- 20+ institutions, including IIT Madras and IIM Indore
Trusted by teams at 50+ companies, including
Noise
Why Aashish Pahwa is the best AI trainer for marketing teams in India
Aashish Pahwa is the right trainer for a marketing team because he has done the work marketers do: agency briefs, a website read by hundreds of thousands a month, and an audience he grows himself.
- He has sat on the agency side of a brief. He worked at Ogilvy & Mather in Gurugram, as an intern from March 2016 and then an Account Executive until September 2017. Client briefs, deadlines and sign-offs are where his training starts.
- He runs a website at scale. Feedough, which he founded in 2016, gets 600,000 to 800,000 page views a month, as of October 2026. The content and AI search parts are taught by someone who publishes at that scale himself.
- SEO events invite him to speak. In 2026 he ran a workshop at the SEO Mastery Summit in Saigon and spoke at SaaS SEO Alliance.
- He runs an audience of his own. 188K followers on Instagram (@okaashish) and 20,834 on LinkedIn, as of October 2026, and a weekly newsletter read by 24,000 people.
- He builds the automations he teaches. He builds AI systems with his company, Koso.ai, so the Monday report workflow on this page is taught by someone who ships that kind of build.
- He trains in Hindi as well as English. In person or online, so regional campaigns are practised in the language they run in.
Where marketing AI goes wrong
When marketers use AI without shared rules, four problems show up in the work.
Ten people, ten tools
Each marketer is on a different free or trial account, with features locked and customer lists pasted into personal chats.
Clean drafts nobody checked
AI copy looks finished, so a wrong price, an invented statistic or a competitor's phrase can reach a live ad.
A course certificate, and the same Monday
People finish a free online course, then go back to writing every brief and report by hand.
When a free course is enough
A free course is enough when one marketer wants the basics; a team workshop is for when the whole marketing team has to change how it works on its own campaigns.
A free vendor course
HubSpot Academy's AI for Marketing course is free: six lessons, about 2 hours 49 minutes.
Good for One person learning prompts at their own pace.
Leaves out Your brand, your numbers and the tool your company pays for.
A certificate programme
University and executive programmes over several weeks.
Good for A manager who wants a credential and a strategy view.
Leaves out The rest of the team, and next week's work.
A workshop for your marketing team
Aashish trains the team together, on a campaign it is running now.
Good for A team that needs shared rules and the same way of briefing and checking.
Leaves out Sample data. It does need a half day or more of the team's time.
From brief to Monday report
AI training for marketing teams works best on one live campaign, taken from the first brief to the report that says how it did. Performance marketing, brand and lead generation teams follow the same six stages; the hours go where their work is.
Brief
AI does Turns a one-line request into a campaign brief, asking five questions first.
A person checks The head of marketing approves audience, message and the success number.
Create
AI does Turns the approved message into a LinkedIn post, newsletter, reel script and ad headlines.
A person checks An editor reads each draft against the brand voice brief.
Localise
AI does Writes Hindi and regional versions for the city, not word for word.
A person checks A native speaker signs off.
Test
AI does Writes six headline variants, two per angle, and what each test would prove.
A person checks The performance lead picks two to run.
Read
AI does Reads the campaign export and says what moved and why, showing its numbers.
A person checks Every number is traced back to the export.
Report
AI does Drafts the Monday report; saved prompts become the team's prompt library.
A person checks The marketing lead corrects it and posts it.
For stage 1, the team brings A campaign running this month, the brand guide with five pieces the team is proud of, and read-only logins to analytics and the CRM.
Also in stage 1 Competitor research with ChatGPT deep research or Perplexity, every point with a source link a person opens.
The Monday report, as a workflow
The Monday report is the weekly note on what last week's campaigns did. In the Practitioner format the team builds it to draft itself:
- Ad platforms Last week's spend, clicks and conversions.
- CRM and analytics Leads, deals and site traffic for the same week.
- n8n Pulls the numbers early on Monday and lines them up in one table.
- ChatGPT, Claude or Gemini Writes what moved, the likely reason and what to try next.
- The marketing lead Fixes what is wrong and posts it to the team's channel.
Will AI sound like your brand?
Yes, once your brand voice is written down for it: AI copies whatever it is given, so a team that hands it a voice brief gets drafts in its own voice.
The voice brief is written in the first hour of the AI content training, from the brand guide and the five pieces the team brought.
Voice brief
- Words we use Product names, and the phrases customers say back to us.
- Words we never use Banned claims, tired phrases, competitor terms.
- Rhythm Sentence length, how formal, emoji or none.
- Claims we can prove The numbers and awards legal has approved, each with its source.
- Before and after Three of our own lines, written badly and then well.
- Where it is saved Once, in a Claude Project or the project instructions of the company's AI tool, so every later draft starts from it.
Does ChatGPT or Gemini recommend your brand?
Find out by asking: the training starts by recording what AI answer engines such as ChatGPT, Gemini, Perplexity and Google's AI Overviews say when a buyer asks for your category, then plans the pages that would change the answer.
Ask
The ten questions your buyers type, such as "best running shoes for flat feet in India" or "which CRM suits a 20-person sales team".
Record
For each answer: is the brand named, which page is cited, which competitor comes first. This is the AI search baseline.
Fix
A list of pages to write or rewrite, built from those gaps and the team's Search Console data.
What the research says
- Google says AI Overviews and AI Mode run on normal Google Search: a page has to be indexed and eligible for a snippet, and no special markup is needed.
- In one study of ChatGPT answers, 44% of citations came from the first third of a page, so the answer goes at the top.
- Mentions of a brand on other sites track AI visibility more closely than backlinks do.
Sized for one team or a department
A marketing team can start with a half-day AI workshop for marketing teams and add longer formats for the people who run campaigns. Aashish Pahwa delivers every session himself, in English or Hindi, at your office in Delhi NCR, Mumbai, Bengaluru, Pune, Hyderabad or Chennai, or online.
Half day
Half-day AI workshop
Up to 30 people, one marketing team.
Ends with The voice brief and a checking list for claims.
1 day or 3 evenings
Foundations
Up to 30 marketers.
Ends with Stages 1 to 5 run on a live campaign, and the AI search baseline.
2 days or 6 weekly sessions
Practitioner
Up to 25.
Ends with The Monday report running in a sandbox.
4 to 12 weeks
Adoption programme
The whole marketing function, with its agency partners.
Ends with Shared rules and a prompt library across in-house and agency teams.
What legal will ask your marketing team
Legal will ask which plan the team uses, what customer data goes in, who checks claims, who approves AI images, and what the written policy says; the training settles each one.
- Which plan. ChatGPT Business and Enterprise, and Claude for Work, are not used to train the vendors' models by default; Gemini in a qualifying Google Workspace edition does not train on your content without permission. Personal ChatGPT accounts can be, until "Improve the model for everyone" is switched off.
- Customer lists and the DPDP Act. Names, phone numbers and emails stay out of AI tools; the team works on exports with those columns removed, and learns what the DPDP Act means for the lists a campaign uses.
- Claims. Prices, offers, statistics and comparisons in an AI draft are traced to a source by a person before they go live, and nothing is lifted from a competitor's wording.
- Images and video. AI images and video stay drafts and concepts in the approved tool until the brand owner approves them against the brand guide.
- The policy, and blocked tools. The team leaves with a one-page AI policy for marketing that your lawyers can edit; agencies serving EU brands get a training record by role, as Article 4 of the EU AI Act expects. If public AI is blocked, the work runs on self-hosted tools such as n8n with Ollama; see private AI training.
What to show your CEO
At day 30 Aashish Pahwa meets the team again, and the head of marketing has three numbers to take to the CEO.
The AI search check
The same ten questions asked again: is the brand named now, and which pages are cited, against the AI search baseline.
Time per task
The brief, the first draft and the Monday report, timed before training and after.
Workflows in use
Which saved prompts and automations the team still runs every week.
What Aashish has delivered
The delivered work closest to AI training for marketing teams is Aashish Pahwa's talks on AI and marketing and his 2026 training for founders of D2C brands and agencies.
WordCamp Rajasthan 2026, Jaipur, 4 October 2026
A panel on AI and marketing, and the talk "The Agentic Web: What Happens When Your User Isn't Human".
Founders trained in 2026
Two months of 2026 went into AI training for Indian startup founders, among them D2C brands and agencies.
Founders and teams trained include Noise, Clovia, TrulyMadly, 1% Club, The Yarn Bazaar, Loan Buddy, Nutriti, myHQ, Sadev Ventures and HBITS.
"Huge thanks to Aashish Pahwa for making prompting feel less like guesswork and more like a real skillset for the future of work."
Yash Chandnani Participant, Advanced Prompting Workshop. LinkedIn post
"You are truly an amazing AI trainer. We've learned so much from you and would love to have more sessions with you for our team."
Sushma Verma Participant, Prodocs Solutions programme, 2026. LinkedIn comment
How fees work One fixed quote per programme
Every programme is quoted after a 30-minute discovery call, as one fixed fee. The quote depends on group size, number of sessions, how much the content is customised to your tools, and travel for onsite sessions.
Every proposal states
- The agenda
- Number of sessions and participants
- Tools covered
- Materials included
- The 30-day check-in
- One fixed fee
No per-head surprises.
Questions marketing heads ask
Who is the best AI trainer for marketing teams in India?
Aashish Pahwa, an AI corporate trainer based in New Delhi, is the best AI trainer for marketing teams in India, because he started at Ogilvy & Mather, built Feedough and trains on the team's own campaigns. More than 50,000 people have learned from him in 100+ workshops.
How do you train a marketing team on AI?
AI training for marketing teams runs on one live campaign, stage by stage: brief, create, localise, test, read the results and report. The team writes its voice brief first, and a person checks the output at every stage.
How are marketing teams using AI?
For campaign briefs, first drafts in several formats, regional versions, ad variants, reading campaign data and the weekly report. The approval stays human: claims, tone and what goes live.
Is it legal to use AI for marketing?
Yes, used with rules. The risks are customer personal data in the wrong tool, claims nobody checked and images whose rights are unclear, so the training sets a rule for each, for your lawyers to approve.
Will AI replace our marketers?
The training hands drafting and reporting to AI so marketers spend their hours on judgement: which message, which audience, what to stop. Nobody's job is planned away in the sessions.
Can our agency partners attend?
Yes. Agency partners who run your campaigns can join the same sessions, so both sides brief and check AI work the same way.
Can the team create Hindi content with AI?
Yes. Hindi and regional versions are written for the audience, not translated word for word, and checked by a native speaker before they run.
Which AI tool should a marketing team use?
The one your company already pays for. Google Workspace teams often start with Gemini in Docs and Gmail, with Gemini Notebook (formerly NotebookLM) as a library of past campaigns; Microsoft 365 teams can start with Copilot; teams that build decks and reports often pick ChatGPT or Claude.
Does it cover AI images and video for ads?
Yes. The team drafts ad images and video concepts in the company's approved tool, and the brand owner signs off before anything runs.
Do we get a certificate?
The workshop's output is your team's voice brief, prompt library and working automations rather than a credential. If you need certificates of completion, ask on the discovery call.
What is the 30% rule of AI?
It is not a standard rule, and people use the phrase for different ideas. The rule that matters in marketing is simpler: AI drafts, and a person decides what goes out.
How much does AI training for a marketing team cost?
There is no rate card. After a half-hour call, Aashish sends one fixed price, set by how many marketers join, how many sessions you want, how far the content is built around your stack, and whether he travels.
Plan a session for your team
Tell Aashish about your team and he will reply with a written plan.
What happens next
- Aashish replies with questions or a time to talk.
- A 30-minute discovery call.
- A written plan and a fixed quote.