AI playbook for digital first businesses
7 AI marketing agents to double your growth on autopilot
(without hiring more people)
How to save 20+ hours per week from manual tasks while beating your competition
Introduction
Dear marketer or digital business owner,
Everywhere you look, people are talking about generative AI and agentic AI.
And yet, when you think about using AI in your own marketing… the headaches start.
  • "We want personalization, but our tools are too limited."
  • "We're drowning in repetitive tasks, but there's never time to fix it."
  • "What if it costs a fortune and delivers nothing?"
  • "Our systems are outdated and our data is fragmented: will this even work?"
Sound familiar? You're not alone. Most digital businesses are stuck right here.
That's why we created this guide.
Inside, you'll discover 7 proven AI marketing systems that will lead to:
  • Drive more sales with smarter targeting and personalization
  • Save time by cutting repetitive work out of their day
  • Get a clear ROI from AI without big budgets or long IT projects
Each system solves a specific marketing headache you already face and can be implemented in just 3 weeks!
Because the truth is: AI isn't about hype or future promises. It's about creating the right vision and using the right systems to give your team back control, speed, and impact.
How do we know?
My name is Stefan Luttik, and I'm the Founder of Like a Human. For over 10 years, I've worked in marketing at global agencies and fast-growth brands, from Albert Heijn, Edelman and Deliveroo to YFood, Talpa Ecommerce, and Gisou. I've built campaigns, managed teams, and felt the pressure of doing more with less.
You might recognize us from FONK Magazine's "Who to Watch 2025", Emerce, Marketing Report Magazine or from our work with brands like VodafoneZiggo and Praxis.
I'm passionate about making AI accessible and practical for marketers, not through hype, but through systems that deliver real business impact.
We've seen these systems slash hours of repetitive work, unlock new sales opportunities, and deliver measurable ROI without extra headcount or endless IT projects.
In this playbook, you'll discover:
01
7 proven AI marketing systems that directly tackle your biggest headaches
02
How to start applying them in your business within just 14 days
03
The results you can expect to double your growth and beat the competition
These aren't experiments. They're practical, battle-tested systems built for SMBs that can be implemented within 21 days only.
And the best part? You don't need a huge budget or advanced tech stack to make them work.
Let's dive in!
System #1:
AI SEO Content System

The current problem
Every e-commerce team knows the struggle: SEO content is important, but it never gets done at scale.
  • Blog articles stay on the backlog because your team is busy running campaigns.
  • Product descriptions end up as copy-paste or thin content, hurting conversions.
  • Meta tags and internal links are forgotten, leaving easy traffic on the table.
Organic traffic flatlines, rankings drop, and you become too dependent on paid ads to drive growth.
How this system actually works
This system uses different AI agents to take over the time-consuming work of SEO content creation: from keyword clustering and title ideas to full blog drafts and optimized product pages. Instead of weeks of writing, you can generate, polish, and publish content in days.
Keyword research & clustering
AI does the online research on search intent and what keywords are important to write about. It then organizes your keywords into profitable and relevant content themes.
Content briefs
For each theme, AI delivers ready-to-use blog titles, detailed outlines, and FAQ sections that match exactly what your customers are searching for.
Draft creation
AI writes complete first drafts of articles, product descriptions, and meta tags in your brand voice, turning hours of writing into minutes of reviewing.
Human review
Your team adds the finishing touches: fact-checking, brand personality, and insider insights that only you can provide.
Optimization & publish
Content goes live with proper internal linking, FAQs, tracking codes, and SEO structure, all automated so nothing gets forgotten.
Continuous improvement
AI monitors performance and suggests monthly optimizations: new title tests, meta description tweaks, and content gap opportunities.
What you'll have in your hands
  1. A steady stream of SEO blog articles (800–1,200 words)
  1. Product descriptions that are persuasive, unique, and optimized
  1. Meta tags and titles with real click-through potential
  1. Internal links and FAQs that strengthen your SEO structure
The results you can expect (and how to measure them)
Organic traffic climbs
Track sessions from non-branded keywords in GA4
Rankings improve
Monitor average keyword positions in Google Search Console
Content velocity skyrockets
Measure # of new SEO pieces published each month
More efficient acquisition
% of revenue from organic channel rises, reducing dependency on ads
Higher click-through rates
See CTR gains on organic listings in Search Console
What it takes to make it work
  • A keyword list (even just 20 to start)
  • Brand tone guidelines to avoid "AI-sounding" copy
  • 0.5-1 hours of human review per article or product page
  • CMS access (Shopify, WordPress, etc.) to publish and track
Where you need to keep control
System #2:
AI Reporting & Insights System

The current problem
Marketing teams spend hours every week pulling reports from GA4, Meta Ads, and Klaviyo. But after all that work, what do you have? A sea of numbers and no clear direction.
  • Leadership meetings are filled with raw metrics, not insights.
  • Underperforming campaigns run longer than they should.
  • Your team drowns in spreadsheets instead of making decisions.
The result? Slow reactions, wasted ad spend, and missed growth opportunities.
How this system actually works
This system turns your scattered data into clear, actionable insights automatically. AI agents ingests your data exports, highlights what changed, and explains why it matters. Instead of reports that sit in a folder, you get decisions on a plate.
Collect the data
Export from GA4, Meta Ads, or your CRM.
AI review
The system analyzes performance trends and anomalies.
Insight summary
It delivers a short report: what's working, what's failing, and what to fix.
Action items
Each insight is paired with 2–3 recommended next steps.
Delivery
Reports are sent as a one-slide summary or directly into Slack for the team.
What you'll have in your hands
  1. A weekly performance snapshot anyone can understand
  1. "Wins, issues, actions" in plain English, not jargon
  1. Visual summaries for leadership decks and team meetings
  1. Less time wasted on reporting, more on acting
The results you can expect (and how to measure them)
Faster and better decisions
Shorten reaction time to performance drops
Improved ROI
Shift spend to winners quicker, cut losers faster
Time savings
Free up hours every week from manual reporting
Stronger alignment with better insights
Everyone sees the same story in one page
What it takes to make it work
  • Exports from GA4, Ads platforms, or ESP (simple CSVs work fine)
  • Agreement on 2–3 core KPIs to track (e.g., ROAS, MER, CPA)
  • One standard report template or format
Where you need to keep control
System #3:
AI Customer Service Automation System

The current problem
Customer service or social community teams drown in repetitive questions:
  • "Where is my order?"
  • "How do I return this?"
  • "What size should I buy?"
Up to 80% of tickets are about these simple issues. The impact?
  • Long wait times for customers with real problems.
  • Rising support costs that eat into margin.
  • Too many hires just to keep up with the inbox.
The result? Customer satisfaction and engagement drops, costs rise, and your team is stuck in busywork instead of focusing on retention.
How this system actually works
This system uses smart AI agents to take over the repetitive tickets that overwhelm your support team. It provides instant answers, fetches order updates, and drafts replies for complex issues. It's fully trained on your brand guidelines and document using a special technique called Retrieval-Augmented-Generation (RAG). And when human judgment is needed, it escalates automatically.
Step by step:
Learn from your policies
AI is trained on FAQs, return rules, product info and all important documents.
Connect to order data
The system retrieves live order statuses.
Handle repetitive questions
Standard queries get instant, accurate replies through email or social media.
Assist agents on complex cases
AI drafts responses so humans save time.
Smart escalation
Refunds, complaints, and exceptions always go to staff.

What you'll have in your hands
  1. A digital service agent handling 70–80% of incoming tickets
  1. Instant answers for order status, returns, and sizing questions
  1. Draft replies for agents on complex issues
  1. Customer support that scales without additional headcount
The results you can expect (and how to measure them)
Faster responses
First response time drops by 50%+
Higher satisfaction
CSAT rises thanks to instant replies
Lower support costs
Cost per ticket decreases, fewer hires needed
Better focus
Agents concentrate on high-value, complex cases
What it takes to make it work
  • A set of FAQs, policy docs, and response templates
  • Connection to your order system (Shopify, ERP, etc.)
  • Tone of voice guidelines for customer-facing replies
Where you need to keep control
System #4:
AI Personalized Outreach System

The current problem
  • Too much time on manual research for potential B2B or Influencer partnerships
  • Low response rates from generic templates
  • No capacity to scale
  • Potential partners, retailers, or influencers slip through the cracks because you can't reach enough people
The result? You miss valuable partnerships, distribution deals, or influencer collaborations that could drive revenue, simply because outreach doesn't scale.
How this system actually works
This system uses AI agents to automate and personalize (cold) outreach. It finds your ideal targets, enriches their profiles with public data, and generates highly personalized emails that reference their recent work, content, or business. Instead of spending days crafting individual messages, you could send hundreds of personalized emails per week automatically.
Step by step:
Define target profile
Set your ideal customer profile (ICP) for B2B contacts or criteria for influencers.
Source leads
The system identifies and collects contacts that match your profile using lead databases and public sources..
Enrich with public data
AI scrapes LinkedIn posts, Instagram content, websites, and recent news to gather context about each lead.
Generate personalized emails
AI writes custom email copy that references specific details—their recent post, a business milestone, or shared interests, making each message feel hand-written.
Send & track
The system sends emails, tracks opens and replies, and triggers follow-ups automatically. Your team handles qualified responses.
What you'll have in your hands
  1. System that does personalized outreach – Each one tailored to the recipient with specific context
  • Automated lead enrichment – AI gathers talking points from public data so every email feels relevant
  • Multi-step follow-up sequences – Automated reminders that increase response rates without manual effort
The results you can expect (and how to measure them)
More partnerships closed
Reach more qualified leads in less time, increasing deal flow
Massive time savings
This system replaces the work of 2-3 outbound specialists
Scalable growth
Run consistent outreach without expanding headcount
What it takes to make it work
  • Clear target criteria (who you want to reach and why)
  • Outreach strategy and messaging guidelines (your value proposition, tone of voice)
  • Follow-up sequence structure (how many touchpoints, timing between emails)
  • Time for human review and refinement (2-3 hours per week to optimize copy and strategy)
Where you need to keep control
System #5:
AI Copy & Ad Generation System

The current problem
Ad performance drops fast when creatives fatigue.
  • CTR falls as audiences see the same message over and over.
  • Producing new ad copy and visuals takes weeks.
  • Testing slows down because creative teams can't keep up.
The result? Rising CPAs, wasted spend on tired ads, and fewer opportunities to scale campaigns.
How this system actually works
This system uses AI to generate fresh ad copy, headlines, and creative concepts on demand. It produces multiple variations, adapts them to your audiences, and maps them into test-ready combinations. Instead of waiting weeks for new assets, you can launch and refresh creatives in days.
Step by step:
Define your angles
Provide your USP, audience, and brand guidelines.
Generate ad variations
AI produces headlines, primary text, and creative concepts.
Build a testing matrix
Multiple copy/visual combinations are mapped for quick experiments.
Launch & learn
Assets are deployed, monitored, and results tracked.
Refresh continuously
AI recommends new variations as CTR drops or fatigue sets in.
What you'll have in your hands
  1. Dozens of fresh ad headlines and copy variations
  1. Creative concepts adapted to your target audiences
  1. A structured testing matrix for faster experiments
  1. A living library of "winning angles" to reuse and scale
The results you can expect (and how to measure them)
Higher engagement
CTR increases when audiences see new hooks
Lower acquisition costs
CPA drops as winners are found faster
Faster testing cycles
Track time-to-launch from brief to live asset
Longer campaign life
Creative half-life improves with regular refreshes
What it takes to make it work
  • Clear audience profiles and USPs to guide creative angles
  • Brand tone and visual guidelines to keep assets consistent
  • Access to ad performance data to measure fatigue and winners
Where you need to keep control
System #6:
AI Email & CRM Optimization System

The current problem
Most brand emails underperform because they're too generic.
  • Newsletters look the same for every customer.
  • Automated flows get outdated and stop converting.
  • Open and click rates decline while unsubscribe rates climb.
The result? Weak engagement, fewer repeat purchases, and wasted opportunities to drive retention.
How this system actually works
This system uses AI to generate personalized subject lines, email copy, and full customer flows. It tailors content to different segments, tests variations automatically, and recommends improvements based on performance data. Instead of guessing, you send the right message to the right customer at the right time.
Step by step:
Segment customers
Define key groups (e.g., lapsed buyers, VIPs, new customers).
Generate content
AI writes subject lines, preheaders, and body copy tailored to each segment.
Optimize flows
Winback, post-purchase, and abandoned cart flows are refreshed with new angles.
Test and learn
Variations are launched and results tracked automatically.
Improve continuously
AI reviews data weekly and suggests new tests.
What you'll have in your hands
  1. Personalized email campaigns and flows
  1. Multiple subject line and body variants for testing
  1. Up-to-date winback and reactivation sequences
  1. A CRM channel that feels relevant to each customer
The results you can expect (and how to measure them)
Higher open rates
Track subject line performance across segments
Better engagement
CTR rises with tailored content
More repeat purchases
Measure revenue per recipient and flow-driven sales
Healthier CRM channel
Monitor unsubscribe and spam complaint rates
What it takes to make it work
  • A clean customer list with segments (RFM or CRM data)
  • Current email templates and flows to optimize
  • Brand tone and product priorities to guide messaging
Where you need to keep control
System #7:
AI Promotions & Forecasting System

The current problem
Promotions are often based on gut feeling instead of data.
  • Discounts run too deep and destroy margin.
  • Campaigns overlap and cannibalize each other.
  • Inventory runs out because demand was underestimated.
The result? Lost profit, wasted effort, and customers trained to only buy on discount.
How this system actually works
This system uses AI to analyze past promotions and predict which campaigns will deliver the best results. It simulates revenue, margin, and stock impact before launch — so you can plan smarter and avoid margin-killing mistakes.
Step by step:
Analyze past promos
AI reviews historical sales, discounts, and ROI.
Model demand
It predicts how different discounts or bundles will perform.
Simulate scenarios
Test what happens with 10%, 15%, or 20% discounts.
Plan campaigns
AI suggests a calendar of promotions with expected outcomes.
Monitor & adjust
After launch, results are compared to forecasts for learning.

What you'll have in your hands
  1. Forecasts showing the expected impact of each promo
  1. A smarter promo calendar aligned with stock and margin goals
  1. Alerts for products at risk of stockouts during campaigns
  1. Insights into which promos drive new revenue vs. cannibalize sales
The results you can expect (and how to measure them)
Higher promo ROI
Track incremental revenue vs. discount cost
Better margins
Net margin protected during campaigns
Smarter stock management
Monitor sell-through % and avoid stockouts
More predictable growth
Forecast accuracy improves with every cycle
What it takes to make it work
  • Past sales and promo performance data
  • Basic inventory files to link stock with promotions
  • Clear rules for max discount levels and priority products
Where you need to keep control
CLAIM YOUR FREE
AI ROADMAP NOW
These systems are just a direction. You could be implementing these systems or custom AI automation to tackle your manual processes. Anyhow, starting with AI automation is the right way to scale your growth without hiring more headcount.
If you're serious about growth, efficiency and ROI, you must implement at least one of these areas. If you don't, you're probably:
  • Spending too much time on manual work.
  • Wasting budget on campaigns that underperform.
  • Falling behind competitors already using AI automation to scale.
You now have the guide, but if you want expert help with implementation of identifying where your highest opportunities are, here's your next step:
👉 We're offering you a free 30-minute AI strategy call (in Dutch or English) where we'll discuss your goals, (inefficient) processes and pinpoint the most impactful AI automations for your team, and map out your first quick wins.
This is not a sales call. You'll speak directly with our founder to design a tailored AI Roadmap for your business.
Claim your no-obligation 30-minute strategy session now (valued at €399 but yours today for free)

⚠️ This session is for founders and marketing leaders serious about reaching growth for the long term. We'll show you where AI can save hours, cut costs, and boost sales but we need your commitment.
If you are ready to take action and put your business into overdrive, claim your free session: