Top 25 Prompt Templates for India (grouped for quick use).

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Top 25 Prompt Templates for India: Faster, Clearer ChatGPT Results

Updated 2025 · By GPT Money Lab. These 25 high-performance ChatGPT prompt templates are optimized for Indian creators, developers, and entrepreneurs. Each includes role, goal, constraints, and structured output — making your AI workflows faster, more accurate, and localisation-ready (₹ examples, dd-mm-yyyy formats, EMI/GST context).

TL;DR → Copy the template that fits your task: coding 💻, marketing 📈, support 💬, education 🎓, or analytics 📊. All 25 are research-backed and tested with GPT-4 & GPT-5 for India.

Table of Contents

1. Coding (5)
2. Marketing & SEO (5)
3. Customer Support & Sales (5)
4. Teachers & Learning (5)
5. Data & Business Analytics (5)
6. How to Use & Customise
7. Get Role-Specific Prompt Packs (₹169 / US$2)
8. Research References
9. FAQ

A) Coding · Develop Smarter

Designed for Indian dev teams and freelancers. Focus: clarity, reproducibility, and edge cases (PAN/Aadhaar/INR).

1. Bug Reproducer → Fix
   Act as a senior {language} developer…
2. Edge-Case Unit Tests (IN formats)
   Act as a QA engineer… PAN/Aadhaar/₹/dd-mm-yyyy dates…
3. Complexity & Refactor – show O(n) alternatives + expected gain.
4. API Contract → Client Stub – typed client with 429 backoff.
5. README in 60 Seconds – auto-generate project guide.

B) Marketing & SEO · Grow Visibility

Use these to build ad copy, SEO briefs, and landing pages that rank in Google India.

1. Keyword → Brief (IN intent) – H1, outline, meta ≤155, 5 FAQs for Indian audience.
2. Ad Variations for Meta/Google – ₹ pricing + one Hindi variant.
3. Landing Page Wireframe – Hero → Proof → INR Pricing → CTA.
4. Email Drip x3 – SMB-focused 3-email flow.
5. Localisation Checklist – dates, rupee, EMI/GST norms.

C) Customer Support & Sales · Delight Users

Speed up responses while staying empathetic and policy-compliant.

• L1 Triage Macro (JSON classification).
• Refund Reply (Indian consumer standards + timeline).
• B2B Objection Handling – ROI / data residency / price.
• Call → CRM Summary (auto-structured fields).
• WhatsApp Follow-Up (≤120 words + opt-out).

D) Teachers & Learning · Save Hours

Created for schools, coaches, and edtech startups in India.

• Syllabus → Week Plan (4-week breakdown).
• Bloom’s Ladder – 6 questions from remember→create.
• Parent Update Note – friendly weekly summary.
• Quiz with Answer Key (10 items).
• Accessibility Pass – simplify to ≤ 8th grade English.

E) Data & Business Analytics · Decision Power

Prompts for analysts and startup ops teams needing clarity and ₹ impact.

• Metric Definition (IN) – name + formula + example ₹.
• SQL from Question – ANSI SQL with CTEs and edge cases.
• Dashboard Brief – KPIs, filters, stakeholders.
• AB Test Plan – guardrails + sample size calc.
• Insight Write-Up – 5-sentence executive summary.

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🧠 How to Use & Customise for India

• Add your own SOPs or docs as context → fewer hallucinations.
• Force structured outputs (JSON/tables) → easier automation.
• Insert few-shot examples to lock tone & format.
• Apply self-consistency → “3 runs → majority vote”.

🚀 Get Role-Specific Prompt Packs (₹169 / US $2)

Save hours with professionally curated prompt libraries for Indian users:

• 👨‍💻 Coders – Debug · Build · Learn (100 Prompts)
• 📈 Marketers – Ads · SEO · Funnels (100 Prompts)
• 🎓 Teachers – Inspire · Save Time (100 Prompts)
• 📊 Data & Analysts – Analyse · Visualise (100 Prompts)
• 💬 Support & Sales – Communicate · Convert (100 Prompts)

💡 Tip: Buy any 2 kits → get 1 free on Gumroad. Supports UPI & international cards for Indian buyers.

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🔬 Research References (LLM Papers)

• Wei et al. (2022) · Chain-of-Thought Prompting Elicits Reasoning in LLMs.
• Wang et al. (2022) · Self-Consistency Improves Reasoning in LLMs.
• Lewis et al. (2020) · Retrieval-Augmented Generation.
• Ouyang et al. (2022) · Instruction Tuning with Human Feedback.
• Raffel et al. (2020) · Unified Text-to-Text Transformer (T5).

❓ FAQ

Q1. Are these prompts beginner-friendly?
Yes — they include role, goal, constraints, and outputs for clarity.

Q2. How to localise for India?
Add ₹, dd-mm-yyyy dates, EMI and GST examples into context.

Q3. How to reduce hallucination?
Use RAG context + citations + “insufficient context” fallback.

Q4. Can I automate these?
Yes — JSON/table outputs integrate with Sheets or APIs.

Q5. Need deeper accuracy?
Run 3–5 self-consistent generations and compare before publishing.

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