ChatGPT has moved from novelty to everyday utility in Indian marketing teams. In 2025 it sits inside content, campaign and CRM workflows, helping practitioners draft faster, test more variants and localise at scale while editors keep voice and claims on track. The best teams treat it as a co-pilot, not an autopilot. As Vikram Sakhuja, Group CEO of Madison Media and OOH, said at a recent industry forum, generative systems have fired up imaginations but the principles of brand and consumer insight remain the same. That balance shapes how the most effective marketers use ChatGPT today.
Below are nine practical hacks with setup steps, prompt starters, quality checks, metrics and common pitfalls so they read like real playbooks rather than pointers. The tone is neutral, and examples cover both B2C and B2B.
1) Turn your brand kit into a reusable master prompt
Why it works: A single, living prompt reduces drift in tone and claims across channels and languages.
How to set up: Consolidate voice rules, words to avoid, compliance lines, the elevator pitch, audience segments and two golden examples of the ideal tone. Store this as a shared document the team can paste above any task.
Prompt starter:
“Act as a senior copywriter for [brand]. Use this voice guide: [paste rules]. Audience: [segment]. Never use these phrases: [list]. Write [asset type] for [goal] in [language]. Keep it under [limit].”
Quality checks: Compare first drafts to your brand phrase library. Check that legal lines and product names are exact. Require human sign-off for anything high reach.
What to measure: Edit distance from first draft to final. Number of review rounds. Share of drafts approved without tone rewrites.
Pitfalls: Overstuffed prompts slow the model and produce generic output. Keep the brand kit tight and refresh it monthly.
2) Turn calls and webinars into sales-ready follow ups and content
Why it works: Speed from conversation to touchpoint increases conversion in both B2B and high-consideration B2C.
How to set up: Export transcripts from your meeting or contact center tool. Build a two-part template that asks for a one-page recap and an email tailored to buyer stage.
Prompt starter:
“Summarise this transcript for an enterprise buyer in [industry]. Extract problem, decision factors, objections and next steps. Then write a 120-word follow up email that acknowledges [objection] and proposes [next action]. Keep brand voice: [paste rules].”
Quality checks: Validate facts against your product truth sheet. Remove any speculative promises. Route regulated claims to legal.
What to measure: Time from call end to follow up sent. Reply and meeting-set rates. FAQ updates created from repeated objections.
Pitfalls: Dumping entire raw transcripts without a brief leads to unfocused output. Always state buyer stage and desired action.
3) Localise for India’s languages without losing voice
Why it works: Native-language touchpoints lift engagement and reduce support queries across e-commerce, travel, OTT and financial services.
How to set up: Decide which assets get full localisation and which get Hinglish. Build a glossary of terms that must stay in English. Maintain lists of regional festivals and idioms to use or avoid.
Prompt starter:
“Translate and adapt this offer into [Hindi or other]. Keep brand voice. Retain product names and these terms in English: [list]. Give two tonal options: warm conversational and crisp informational. Suggest three call to action lines that sound natural in [language].”
Quality checks: Always include a native speaker review for idiom and cultural fit. Confirm currency, numerals and date formats.
What to measure: Click and conversion rates by language cohort. Unsubscribe and complaint rates. Time saved per variant.
Pitfalls: Blind literal translation hurts trust. Treat this as adaptation, not word-for-word.
4) Generate product copy shoppers can scan and compare
Why it works: Structured copy removes friction at decision time and lowers returns caused by expectation gaps.
How to set up: Feed clean specs with dimensions, materials, care, warranty and what’s in the box. Define the three blocks you want: a benefits paragraph, a five-bullet feature list and a comparison against the previous model.
Prompt starter:
“From these specs, create: 1) a 70-word benefits paragraph, 2) five bullets of concrete features, 3) a table that compares this model with [previous model] on [three attributes]. Add a facts box with size, materials, warranty and care. Use plain language. No fluff.”
Quality checks: Cross-check numbers and measurements against your PIM. Ensure claims are demonstrable. Remove adjectives that overpromise.
What to measure: Time from SKU ready to page live. Listing error rate. Add-to-cart rate and returns due to mismatch.
Pitfalls: Mixing variants in one prompt causes incorrect facts. Generate per SKU and per region.
5) Build a quarter’s email idea bench in one working session
Why it works: Consistent cadence without creative burnout improves revenue per thousand sends and keeps fatigue low.
How to set up: Share your calendar moments, product drops, replenishment cycles and two top-performing emails as examples.
Prompt starter:
“Propose 24 email ideas grouped by objective: activate, repeat purchase, win-back, upgrade. For each idea provide a subject line under 40 characters, a matching preheader, and a 60-word body that fits this brand voice: [rules]. Include two segment-specific twists.”
Quality checks: Remove repetitive hooks. Check that price qualifiers and time windows are present for offers.
What to measure: Lift over control for subject line and preheader pairs. RPM, fatigue indicators and deliverability health.
Pitfalls: Over-personalisation can feel invasive. Use declared preferences and behavioural signals, not guesswork.
6) Turn long assets into short content people actually read
Why it works: Short derivatives multiply reach across channels and keep sales and social teams stocked.
How to set up: Feed the whitepaper, research report or webinar transcript. Define three output tiers: a two-paragraph blog, three social cards with captions and a five-question FAQ in plain language.
Prompt starter:
“Summarise this source into a 180-word blog that keeps only supported claims. Then produce three social cards with 20-word captions, and a Q and A with five buyer questions and concise answers. Do not invent data. Keep tone as [brand voice].”
Quality checks: Ensure all numbers appear in the source. Add a last updated date for anything that may change.
What to measure: Throughput per week, sales usage rates, time from event to follow-up touch.
Pitfalls: Letting the model infer statistics. If a number is not in the source, remove it.
7) Draft ad and social variants for rapid testing
Why it works: Variant speed shifts teams from opinion to evidence and increases the odds of an early winner.
How to set up: Define the message matrix. For example, three promises, three proofs, three CTA styles. Ask ChatGPT to vary only one element per line so learning is clean.
Prompt starter:
“Create a 9-cell matrix of ad copy for [platform]. Columns are promise variants. Rows are proof variants. Keep character limits and brand voice. Provide a separate sheet with three CTA styles. Output as a table for easy picking.”
Quality checks: Remove overlapping lines so tests are clean. Keep disclosures inside limits. Validate that character counts meet platform rules.
What to measure: Win rate of AI-seeded variants against human-seeded controls. Cost to first win. Learning points captured per round.
Pitfalls: Testing too many elements at once. Keep experiments simple and sequential.
8) Write for search and answer engines without sounding robotic
Why it works: Clear, extractable blocks improve inclusion in summaries and reduce repetitive support queries.
How to set up: Identify five priority topics where customers want straight answers. On each page place four elements high: a one-paragraph definition, a steps list, a small facts section and a simple Q and A.
Prompt starter:
“Write a human-friendly explanation of [topic] in 90 words. Provide a numbered three-step list to complete the task. Add a facts box with dates, prices and service windows exactly as provided here: [insert facts]. Finish with four short Q and A pairs using the same everyday words customers use.”
Quality checks: Date stamp the facts box. Keep the author name and last updated visible. Use consistent entity names across pages and profiles.
What to measure: Organic clicks, inclusion and accuracy in answer experiences, reduction in repetitive tickets.
Pitfalls: Hiding key details in images or PDFs. Keep critical information in simple HTML.
9) Stress test copy for clarity, claims and culture before publish
Why it works: Pre-flight checks catch issues earlier and reduce post-publish edits, complaints and legal escalations.
How to set up: Build a pre-send checklist for tone, claims, sensitivity and accessibility. Ask ChatGPT to perform a sensitivity read and a plain-language pass.
Prompt starter:
“Review this near-final copy for risky phrasing, overclaims and cultural misses. Suggest safer alternatives. Rewrite any sentence over 25 words into clearer options at an eighth-grade reading level while keeping brand voice. Confirm that price qualifiers, offer windows and mandatory disclosures are present.”
Quality checks: Final human review is mandatory for BFSI, health, education and anything national in reach.
What to measure: Issues caught before legal review. Reduction in escalations. Reading ease scores.
Pitfalls: Treating the model as compliance. It is a first screen, not the final gate.
What Indian leaders are saying
Sachin Sharma, Director of LinkedIn Marketing Solutions in India, frames the accountability lens many CMOs apply to AI programs. You have to prove that there is a return on whatever is being invested in marketing and you should be able to show short-term and long-term gains. For writing programs this means tying drafts to renewal lift, qualified pipeline and assisted sales rather than vanity metrics.
Somasree Bose Awasthi, Chief Marketing Officer at Marico, describes the operational gain in plain terms. We have leveraged generative tools to streamline content creation and generate captions, product descriptions and marketing copy, saving time and resources. Her team’s experience mirrors a broader pattern in consumer goods and D2C where high-volume writing has become faster and more consistent under human review.
Anupam Mittal, founder of Shaadi.com, has cautioned against leaning on AI as a crutch. His view is that while AI can fake intelligence it cannot fake human qualities like courage and judgement. Content teams read that as a call to keep AI as a co-pilot. The brief remains human. The workflow is augmented. This balance supports both velocity and brand character.
A simple operating model that keeps trust
Governance: Set two review paths. Routine, low-risk assets can ship with a lighter check. High-reach or regulated assets go through brand, legal and subject experts. Keep a register of where AI assisted a draft so you can adapt quickly if disclosure guidance evolves.
Data hygiene: Build a single source of truth for names, plan tiers, fees, specs and boilerplate. Where facts drive decisions, keep a dated facts box on key pages and review it often.
Localisation discipline: Use first-pass localisation with human refinement. Measure by cohort to see where language or context drives outcomes.
Skills and culture: Train teams on prompt craft and maintain an examples library. Encourage editors to mark what the model did well and where it drifted so prompts improve over time.
Why these hacks work together
Each hack attacks a latency or scale pinch point. Together they create a loop. A strong master prompt makes first drafts closer to final. Summaries feed better follow ups and fresher FAQs. Localised variants expand reach without bloating headcount. Structured product copy reduces returns and support load. An email ideas bench preserves cadence. Short-form derivatives get more value from long assets. Variant matrices speed creative learning. Extractable blocks help search and answer engines. Stress tests reduce errors before legal review.
The throughline is human judgement. ChatGPT handles speed, volume and structure. People supply insight, tone and context. As Vikram Sakhuja reminded peers, methods change but principles hold. As Sachin Sharma’s ROI lens suggests, the work earns its place when it proves value. Treat ChatGPT as a disciplined co-pilot and those returns become easier to produce across channels and languages.
Disclaimer: All data points and statistics are attributed to published research studies and verified market research. All quotes are either sourced directly or attributed to public statements.