7 min

Your Marketing AI Toolkit

Reusable Prompts for Daily Marketing Tasks

From Ad Hoc to Systematic

A social media manager at a DTC 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:

Element	Purpose	Example
Role	Tell AI what expert hat to wear	"You are a senior DTC copywriter specialising in sustainable lifestyle brands"
Context	Provide brand and audience background	"Brand: [name]. Audience: women 25-40, urban, values-driven, mid-to-high income"
Task	Specific output needed	"Write 5 Instagram caption variants for our new recycled wool jacket launch"
Constraints	Format, length, tone rules	"Max 150 characters. Warm but never preachy. No exclamation marks. Include one emoji."
Examples	Show what good looks like	"Here are 3 captions that performed well for similar products: [examples]"
Output format	How 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 DTC brands.
Brand: [brand name]. Voice: [warm/bold/minimal/playful].
Product: [product name + key benefit].
Audience: [segment from Ch.2 — e.g., Urban Millennials, 28-40].
Platform: [Meta/Google/LinkedIn/TikTok].

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/press mention)
- CTA (platform-appropriate)

Constraints:
- Meta primary text: max 125 characters
- Google headline: max 30 characters, description: max 90 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 for DTC e-commerce.
Brand: [brand name]. Industry: [beauty/fashion/home/fitness].
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 Personalisation (use [First Name] + behavioural reference)
- 3x Urgency (real urgency only — time-bound offers)
- 3x Social proof (numbers, ratings, press mentions)

Constraints:
- Max 50 characters (mobile-optimised)
- No spam trigger words (free, guaranteed, act now)
- Include preview text suggestion for top 5
- GDPR-compliant (no deceptive subject lines)

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

3. Social Content Calendar

Role: Social media strategist for consumer brands.
Brand: [brand name]. Platforms: [Instagram, LinkedIn, TikTok].
Month: [month + year].
Key events: [Black Friday, product launches, cultural moments 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)
- 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, 150-300 words
- TikTok: script format, hook in first 2 seconds, 30-60 second videos
- Include suggested posting time (EST/GMT) 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 analyse: [list 3-5 competitor names].
Analysis period: [last 30/60/90 days].

Task: Based on publicly available information, analyse 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 for Western markets.
Brand: [name]. Industry: [category].
Target keyword: [primary keyword].
Search intent: [informational/transactional/navigational].
Target markets: [US/UK/EU/AU — specify for localisation].

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")

SEO tool integration:
- Use Ahrefs or Semrush data to validate keyword difficulty and volume
- Check Google Analytics 4 for existing page performance on related queries
- Review Search Console for impression/click data on the keyword cluster

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

SEO and Analytics for Western Markets

Google Analytics 4: The Foundation

GA4 replaced Universal Analytics and every marketer needs fluency. AI helps you:

Generate custom GA4 reports by describing what you want in plain English

Interpret funnel drop-off data and identify where users abandon

Build audience segments from behavioural signals for remarketing

Set up conversion events without touching code (via GTM + AI guidance)

Attribution Modeling

Understanding which channels drive conversions is critical when spending across 5+ platforms:

Model	How It Works	Best For
Last-click	All credit to the final touchpoint	Simple measurement, direct response
First-click	All credit to the discovery touchpoint	Understanding acquisition channels
Linear	Equal credit to all touchpoints	Balanced view of the full journey
Data-driven (GA4)	AI assigns credit based on actual conversion patterns	Most accurate, requires sufficient data
Marketing mix modeling	Statistical model across all channels including offline	Enterprise brands, large budgets

AI-powered attribution (GA4's data-driven model) is the standard for serious marketers. It replaces human guesswork with pattern recognition across thousands of conversion paths.

SEO Tools: Ahrefs vs Semrush

Feature	Ahrefs	Semrush
Backlink analysis	Industry-leading database	Strong, slightly smaller
Keyword research	Excellent, click-stream data	Excellent, wider keyword database
Content gap analysis	Yes — compare your site vs competitors	Yes — with content marketing toolkit
Rank tracking	Daily updates, mobile vs desktop	Daily updates, local tracking
Pricing	$99/month (Lite)	$130/month (Pro)

Use AI to interpret Ahrefs/Semrush data: export keyword reports, paste into Claude, and ask for content strategy recommendations based on difficulty, volume, and intent.

Open data/prompt-library-marketing.json in the code panel. This file contains 20 ready-to-use marketing prompts — tested and refined with DTC brands across beauty, fashion, home, and fitness categories. Copy, customise, and build your own library from this foundation.

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, LinkedIn sequences

Start tracking which prompts produce best results

Share with team members for consistency

Week 4: Optimisation

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.

GA4 and attribution modelling are essential skills. AI helps you interpret analytics data, but you need to understand what questions to ask. Data-driven attribution replaces gut-feel channel allocation.

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 (Global).

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Ch. 5: A/B Testing & Personalization