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Your Marketing AI Toolkit

Reusable Prompts for Daily Marketing Tasks

From Ad Hoc to Systematic

A social media manager at an Indian startup opens ChatGPT every morning. "Write me an Instagram caption for our new product." The result is okay. Sometimes good, sometimes generic. She tweaks it, posts it, moves on. Tomorrow she will do the same thing — starting from scratch. No consistency. No learning. No system.

Across the hall, her colleague in performance marketing has built a prompt library — 25 tested, refined prompts saved in a Notion doc. One for ad copy. One for email subject lines. One for competitor analysis. One for campaign briefs. Each prompt includes the brand voice, target audience, format constraints, and example outputs. He pastes, adjusts the variable (product name, campaign goal), and gets consistent, high-quality output in seconds. His work is repeatable, delegatable, and improving every week.

The difference between casual AI use and professional AI use is a prompt library. This chapter helps you build yours.

The Prompt Library Concept

Think of prompts like creative brief templates. A good agency does not start every project from zero — they have templates for TV scripts, print ads, social campaigns, and media plans. Your AI prompt library works the same way: pre-built structures that encode your brand, audience, and quality standards.

Anatomy of a Professional Marketing Prompt

Every marketing prompt should include:

ElementPurposeExample
RoleTell AI what expert hat to wear"You are a senior D2C copywriter specializing in Indian beauty brands"
ContextProvide brand and audience background"Brand: [name]. Audience: women 25-35, Tier-1/2 cities, value conscious"
TaskSpecific output needed"Write 5 Instagram caption variants for our new sunscreen launch"
ConstraintsFormat, length, tone rules"Max 150 characters. Hinglish tone. No exclamation marks. Include one emoji."
ExamplesShow what good looks like"Here are 3 captions that performed well for similar products: [examples]"
Output formatHow to structure the response"Return as numbered list. Each caption on a new line. Add a hashtag set for each."

Prompt Templates for Daily Marketing Tasks

1. Ad Copy Generator

Role: Senior performance marketer for Indian D2C brands.
Brand: [brand name]. Voice: [warm/bold/minimal/playful].
Product: [product name + key benefit].
Audience: [segment from Ch.2 — e.g., Metro Millennials, 25-34].
Platform: [Meta/Google/WhatsApp].

Task: Write [5] ad copy variants. Each must include:
- Hook (first 5 words must stop the scroll)
- Benefit (not feature)
- Social proof element (rating/customer count/award)
- CTA (platform-appropriate)

Constraints:
- Meta primary text: max 125 characters
- No ALL CAPS
- No fake urgency ("hurry!", "last chance!")
- [Brand-specific forbidden words]

Format: Numbered list. For each variant, label the hook, body, and CTA separately.

2. Email Subject Line Tester

Role: Email marketing specialist with expertise in Indian e-commerce.
Brand: [brand name]. Industry: [beauty/fashion/electronics/food].
Campaign: [type — sale, launch, re-engagement, educational].
Audience: [segment + key characteristic].

Task: Generate 15 email subject lines. Mix these approaches:
- 3x Curiosity (incomplete information that demands a click)
- 3x Benefit-led (what the reader gains)
- 3x Personalization (use [First Name] + behavioural reference)
- 3x Urgency (real urgency only — time-bound offers)
- 3x Social proof (numbers, ratings, testimonials)

Constraints:
- Max 50 characters (mobile-optimized)
- No spam trigger words (free, guaranteed, act now)
- At least 3 in Hinglish
- Include preview text suggestion for top 5

Format: Table with columns: Number, Subject Line, Approach, Preview Text.

3. Social Content Calendar

Role: Social media strategist for Indian brands.
Brand: [brand name]. Platforms: [Instagram, LinkedIn, Twitter].
Month: [month + year].
Key events: [festivals, sales, launches this month].
Content pillars: [educational, behind-the-scenes, user-generated, product, engagement].

Task: Create a 30-day content calendar with:
- 1 post per day per platform
- Mix of content pillars (no more than 2 consecutive days of same pillar)
- Festival/event-specific posts on relevant dates
- Engagement posts (polls, questions) on Wednesdays and Saturdays
- Product posts never on Mondays (low engagement day)

Constraints:
- Instagram: visual-first descriptions (what the image/reel should show)
- LinkedIn: professional tone, industry insights
- Twitter: punchy, conversation-starting, max 200 characters
- Include suggested posting time for each

Format: Table with columns: Date, Day, Platform, Pillar, Post Concept, Visual Description, Caption Draft, Posting Time.

4. Competitor Analysis Brief

Role: Marketing strategist conducting competitive intelligence.
My brand: [name + positioning].
Competitors to analyze: [list 3-5 competitor names].
Analysis period: [last 30/60/90 days].

Task: Based on publicly available information, analyze each competitor on:
- Messaging (what is their core promise?)
- Channels (where are they most active?)
- Content themes (what topics do they own?)
- Offers/pricing (how do they frame value?)
- Gaps (what are they NOT doing that we could?)

For each competitor, conclude with:
- 1 thing we should learn from them
- 1 weakness we can exploit
- 1 opportunity they are missing

Format: Competitor-by-competitor breakdown. Use headers and bullet points.

5. SEO Brief Generator

Role: SEO content strategist specializing in Indian search behaviour.
Brand: [name]. Industry: [category].
Target keyword: [primary keyword].
Search intent: [informational/transactional/navigational].

Task: Create a comprehensive content brief for a [blog post/landing page/product page] targeting this keyword. Include:
- Primary keyword + 10 related keywords (LSI)
- Search intent analysis (what does the searcher actually want?)
- Recommended word count
- H2/H3 heading structure (5-8 headings)
- Key points to cover under each heading
- Internal linking suggestions (3-5 pages to link to)
- FAQ section (5 questions from "People Also Ask")

India-specific considerations:
- Include vernacular search variants (Hindi/regional language versions of the keyword)
- Note voice search phrasing (Indians search conversationally in voice: "best face wash for oily skin in summer" not "face wash oily skin")
- Consider regional intent differences

Format: Structured brief with clear headings. Ready to hand to a content writer.

SEO for the Indian Market

Vernacular Search Is Exploding

Google India processes queries in 9 Indian languages. Hindi search has grown 80% in two years. AI helps you:

  • Identify vernacular keywords for your category
  • Generate content in regional languages from English briefs
  • Optimize for Devanagari + Roman script Hindi queries simultaneously
  • Build FAQ pages that answer questions the way Indians actually ask them
  • Voice Search: The Indian Difference

    300 million+ Indians use voice search. Voice queries are longer and more conversational:

  • Typed: "best moisturizer dry skin"
  • Voice: "Which is the best moisturizer for dry skin in winter in India?"
  • AI helps you identify voice search patterns and create content that answers these natural-language queries — both in English and Hinglish.

    Local SEO for Multi-City Brands

    If you operate in multiple Indian cities, AI generates city-specific landing pages:

  • "[Product] delivery in [city]" pages
  • "[Service] near me in [area]" content
  • Google Business Profile posts customized per location
  • Local review response templates
  • Open data/prompt-library-marketing.json in the code panel. This file contains 20 ready-to-use marketing prompts — tested and refined with Indian brands across beauty, fashion, food, and electronics categories. Copy, customize, and build your own library from this foundation.

    Versioning Your Prompts

    Your prompts are intellectual property. Treat them like code:

    Version Control Best Practices

    PracticeWhy It Matters
    Number every prompt (v1, v2, v3...)Know which version produced which results
    Date every updateTrack improvement over time
    Note performance"v3 increased CTR from 1.2% to 2.1%"
    Save winning outputs as examplesFew-shot examples improve future generations
    Share within teamConsistency across team members using AI

    The Prompt Improvement Cycle

  • Use prompt → Get output
  • Evaluate → Did it hit quality bar? What was wrong?
  • Diagnose → Was it the instructions, context, examples, or constraints?
  • Refine → Update the specific element that failed
  • Re-test → Run the same scenario with the updated prompt
  • Save if better → Increment version number, note what changed
  • Open data/seo-keyword-analysis.json to see a sample keyword research output — covering a primary keyword cluster with vernacular variants, voice search phrasings, monthly search volumes, difficulty scores, and content recommendations for the Indian market.

    Building Your Marketing AI System

    Week 1: Foundation

  • Create 5 core prompts (ad copy, email, social, SEO brief, competitor analysis)
  • Save in a shared doc with your team
  • Use for all content creation this week
  • Week 2: Refinement

  • Review outputs from Week 1. What worked? What was generic?
  • Add better examples to each prompt (use your actual winning content)
  • Add brand voice constraints you missed
  • Week 3: Expansion

  • Add prompts for: campaign planning, influencer outreach, report summaries, WhatsApp sequences
  • Start tracking which prompts produce best results
  • Share with team members for consistency
  • Week 4: Optimization

  • Version-tag your best prompts
  • Create a "best outputs" swipe file to use as few-shot examples
  • Set up a monthly review to update prompts based on performance data
  • Key Takeaways

  • A prompt library is your marketing AI infrastructure. Without it, you are starting from scratch every time. With it, you have consistent, high-quality output on demand.
  • Professional prompts have six elements: role, context, task, constraints, examples, and format. Missing any one of these produces generic output. Include all six and output quality jumps dramatically.
  • SEO in India requires vernacular and voice search thinking. Hindi, Tamil, Telugu, and other language queries are growing faster than English. Voice search phrases are 2-3x longer than typed. AI helps you cover both.
  • Treat prompts like code — version, test, and improve. The marketers who build systematic AI workflows today will outperform those who treat AI as a casual tool by an ever-widening margin.
  • This is chapter 6 of AI for Marketing Professionals.

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