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- 🎯 The 3 Core AI Agents Driving Real Results In Marketing
🎯 The 3 Core AI Agents Driving Real Results In Marketing
AI Agents Work Best When They Know Their Role
In partnership with
Today, we’re bringing you the latest in AI-powered marketing and business strategies. Here’s what’s inside:
🚨 AI Top Story: It turns out the best AI setups look less like Iron Man… and more like a really well-organised group chat.
🎥 YouTube Resource Of The Week: Discover the architecture behind AI agents that scale
🎯 One Quick AI Hack: Extract Data From Any Website Using ChatGPT
The 3 Core AI Agents Driving Real Results In Marketing
AI Agents Work Best When They Know Their Role
The ones seeing early success aren’t trying to build one all-powerful agent to handle everything. And they’re not using dozens of disconnected bots either. Instead, they’re building systems — made up of different types of agents, each designed to play a specific role.
And while every business will shape that system differently, three types of agents are showing up again and again.
First, you’ve got utility agents — the dependable workhorses. These are the agents handling all the repetitive, behind-the-scenes stuff no one really wants to do. Think: cleaning up messy CRM data, tagging blog posts for SEO, or automatically generating your weekly reports. Nothing glamorous. Just super useful.
Then there are super agents — the ones built to handle bigger, more complex jobs. Instead of doing one thing, they pull together lots of tasks into a single flow. Imagine a marketing super agent that grabs campaign data from all your channels, analyses the results, writes a performance report, and even suggests what you should do next. It’s like an assistant with initiative.
And finally, you’ve got orchestrator agents — part traffic controller, part project manager, making sure nothing falls through the cracks. These agents are built to coordinate other agents, manage workflows, and keep everything moving. Picture a content orchestrator agent that handles briefing writers, tracking deadlines, nudging people for approvals, and making sure that blog post actually gets published without countless Slack reminders.
And while the technology behind AI agents keeps advancing, this layered approach is fast becoming one of the smartest ways to use AI inside marketing teams. Not because it sounds futuristic, but because it works. Different agents, doing different jobs, but working together like a team. Not just with each other either, but with the people who use them every day.
🤖 OpenAI to Retire GPT-4, Fully Replacing It With GPT-4o on April 30 - GPT-4o is taking over — faster, cheaper, and built for multimodal everything.
🚀 $2.6B AI Startup Didn't Market AI, Gained a Million Users - AI coding tool Cursor hit $200M revenue with zero marketing spend.
🛠️ Gemini Code Assist, Google’s AI coding assistant, gets ‘agentic’ abilities - Google’s AI coding tool just levelled up; now it can plan and execute entire tasks.
🎯 The Artificially Intelligent Enterprise - Why AI Isn't Meeting Expectations
☕ AI Tangle - OpenAI's Countersuit Against Elon Musk, Google's 7th-Gen TPU & Europe's Plans For an "AI Continent"
Plan & Post Smarter with UNUM
UNUM is an AI-powered content tool that helps marketers plan, write, and schedule social posts faster.
Its Ghostwriter AI helps generate captions, hashtags, and content ideas in seconds, while SmartSchedule picks the best times to post for engagement.
It also gives you a clean visual planner for laying out content across platforms, including Pinterest, Instagram, TikTok, LinkedIn, and Facebook.
Great for marketers who want to stay consistent without staring at a blank page.
Why we like it:
AI-generated captions + hashtags
Smart post scheduling
Multi-platform content planning
Visual content calendar
Built-in analytics
Pricing:
Free plan available
Pro: $6/month
Teams: $7.50/month per user
HANK BARKER - Create incredible ad visuals in a couple of minutes with ChatGPT
Use This Prompt to Build a High-Impact FAQ Page (Fast)
Every marketer knows an FAQ page is valuable; but most are either an afterthought or a dumping ground for random questions.
Done right, FAQ content does way more than answer common queries. It removes buying friction, builds trust, improves SEO, and helps convert users faster.
This week’s prompt gives you a framework to generate a strategic, structured, and genuinely helpful FAQ page — built around your product, your audience, and their real objections.
Use it to map out everything from quick answers to SEO-friendly deep dives.
Prompt:
You are a marketing strategist and copywriter specialising in customer education and conversion content. Your goal is to help me create a strategic, user-friendly FAQ page designed to increase clarity, trust, and conversion.
Use the info below to generate a clear, structured FAQ plan — grouped into smart categories, using real customer language, with concise, helpful answers.
Product/Service Description: [insert details]
Target Audience: [insert key customer details]
Primary Goal of FAQ: [e.g. reduce support tickets, boost SEO, overcome objections, improve conversions]
Tone of Voice: [insert brand voice guidelines — e.g. friendly, expert, casual, playful]
Existing FAQs (optional):
[List any current FAQ questions or copy you want to keep, fix, or improve]
Competitor FAQ Links (optional): [paste any for context]
For output, include:
Suggested FAQ Categories (grouped by theme or user journey stage)
5-10 Smart, Searchable Questions for Each Category
A Short, Clear Answer for Each (2-3 sentences max)
Suggested Edits or Improvements to Existing FAQs (if provided)
1-2 Deeper Content Opportunities per Category (blog post, guide, video)
UX or Formatting Tips for Scannability (e.g. accordions, search bar, filters)
Focus on real customer language. Prioritise clarity, speed, and conversion-friendly copy. Avoid jargon. If any answers would benefit from visuals, charts, or examples — suggest them too.Discover the architecture behind AI agents that scale
Extract Data From Any Website Using ChatGPT
Need to scrape product data, reviews, or info from a website?
Here’s a ridiculously easy way to do it using GPTs.
→ Go to chat.openai.com
Search for the DataHarvester GPT inside ‘Explore GPTs’.
→ On the website you want to pull data from, save the page as a PDF.
(Chrome: Ctrl + P → Save as PDF)→ Upload the PDF to the DataHarvester GPT.
Use this prompt:
“Extract product details like name, price, rating, seller, etc. Organise it in a table. Export as CSV.”→ Download your ready-to-use CSV file.
Clean, structured, and ready for insights.
A reminder to always be polite to your AI, just in case…
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