Today, we’re bringing you the latest in AI-powered marketing and business strategies. Here’s what’s inside:
🚨 AI Top Story: Dive into how ChatGPT can now handle discovery, checkout, and conversion - all inside one thread.
🌟 AI Use Case Of The Week: Learn the method Hyundai uses to make its brand stand out in AI-generated answers.
🎯 Killer Marketing Prompt: : Turn your AI into a performance detective that explains why one email outperformed another.
🎥 AI YouTube Resource Of The Week: How OpenAI’s new Agent Builder gives you the ability to design AI workflows visually in minutes.
Two Days Of Strategy, Playbooks, And Real-World AI Leadership
All Things AI is heading to Charlotte on October 27–28 for AI//FORWARD, a two-day event built for senior executives and enterprise leaders who are moving AI from pilot projects to full-scale business transformation. Expect strategic frameworks, hands-on workshops, and peer discussions that go beyond hype — including sessions on AI strategy, governance, and GenAI in DevOps.
If you’re driving AI adoption across your organisation, this is where you’ll meet the people shaping the future of enterprise AI.
📍 UNC Charlotte Dubois Center — 320 E 9th Street, Charlotte, NC
📅 Monday, Oct 27 - Tuesday, Oct 28
🕒 7:00 AM to 9:00 AM EDT
OpenAI’s Latest Update Changes Everything
ChatGPT Just Went Full Amazon Mode
OpenAI is turning ChatGPT into a storefront. Not a metaphorical one, but an actual place where people can buy things, book services, and complete transactions without ever leaving the chat. The new Instant Checkout feature connects directly to Shopify, Stripe, and major retail platforms so users can go from “find it” to “buy it” in one thread. It’s a simple idea with big implications for how we’ll shop online.
Instead of jumping between search engines, websites, and checkout pages, ChatGPT can now handle the full flow: discovery, comparison, purchase. It can recommend products, handle payments, and confirm delivery, effectively replacing the shopping cart and the website in one move. For marketers and merchants, it’s both exciting and a little unnerving. The buying journey just got compressed into a single AI-driven touchpoint.
Behind the scenes, OpenAI’s business play is becoming clearer. ChatGPT isn’t just a conversational layer anymore; it’s evolving into a demand router. When users ask for something, OpenAI connects them with the right merchant and takes a cut of the sale. The scale potential here is massive, especially with big-name partners like Uber, Instacart, Expedia, and Target already plugged into the ecosystem.
The tech running this is called the Agentic Commerce Protocol, essentially the connective tissue that lets different merchants integrate directly with ChatGPT. OpenAI’s opening it up for broader adoption, which could make this the standard way digital storefronts interact with AI platforms. Think of it as the plumbing for an AI-native version of e-commerce.
This move also positions OpenAI squarely against the biggest players in tech. If ChatGPT becomes the go-to place for discovering and buying products, it eats into Google’s search influence and Amazon’s retail funnel at the same time. The stakes are massive, and so is the opportunity, but it all hinges on trust, execution, and whether consumers are ready to shop through a chatbot.
What’s clear is that OpenAI is no longer content being the middle layer between humans and information. It wants to be the interface for transactions too. And if it works, the way we think about digital storefronts might change faster than anyone expected.
🧠 Steal These Ideas: Meta CMO Alex Schultz Reveals Small Biz's Winning Marketing From Around the World - Get real tactics from Meta’s CMO on how small brands around the world are using AI, prompt engineering, and creative ad strategies to punch far above their weight.
🎥 OpenAI faces copyright risks with Sora as users generate videos of famous characters like SpongeBob - OpenAI’s new video app is triggering legal headaches as users create clips featuring copyrighted characters like SpongeBob, forcing OpenAI to rethink rights policies.
⚠️ Marketers have a lot to worry about in the face of AI-induced shifts - At Advertising Week, marketers openly wrestled with AI’s disruption to measurement, talent, authenticity, and how to stay effective when the rules are changing fast.
📱 OpenAI launches ChatGPT apps and new Apps SDK for developers to build chat-based applications - OpenAI just revealed that ChatGPT will support native apps (and a dev SDK), meaning conversational tools can now be built, integrated, and monetized inside ChatGPT itself.
How Hyundai Is Optimising for AI Search
As generative AI reshapes how consumers discover products, Hyundai is rethinking its entire search strategy. Instead of fighting for visibility in traditional keyword rankings, the automaker is optimising for conversational intent - how people phrase real questions to AI assistants like ChatGPT, Perplexity, and Google’s Gemini.
Hyundai’s marketing team, in partnership with Ad Machina (a Making Science company), is using machine learning to analyse how potential car buyers ask questions during their research journey. These insights feed a conversational search model that helps Hyundai appear within AI-generated answers and dynamic search experiences, not just as a link buried below them.
That means when someone asks, “What’s the safest family SUV under $40K?” or “Which EV has the longest range?”, Hyundai’s content, product data, and messaging are structured so AI tools can easily surface their vehicles as contextually relevant answers. The brand is essentially teaching AI systems how to talk about Hyundai in a natural, helpful way.
This approach flips the old SEO playbook. Rather than chasing keywords, Hyundai is mapping intent clusters - the why behind a query - and building content that fits conversational flows.
How You Can Replicate Something Similar
Analyse how people ask about your category
Use AI-powered tools like Perplexity, AnswerThePublic, or ChatGPT itself to gather the most common questions people ask before buying your type of product.
Create AI-friendly content formats
Structure your pages with clear, factual language, short summaries, and schema markup so they can be easily understood and cited by AI models.
Train your brand voice for conversational search
Use LLM-based content models to simulate how users might talk about your brand, and optimise your copy to align with those natural phrasing patterns.
Integrate first-party data
Feed real customer insights from your CRM, chatbot logs, or call transcripts into your content strategy to reflect authentic, high-intent language.
Measure visibility inside AI tools. Tools like BrightEdge or MarketMuse are starting to track brand appearances in AI-generated results - start monitoring where your brand is being mentioned.
AI Email Performance Detective
If you’ve ever compared two email campaigns and thought, “Why did this one crush it while the other flopped?”.
This prompt gives you answers. It turns your AI into a data analyst that breaks down what actually drove performance, from subject line structure to message tone, timing, and emotional appeal.
Simply paste in two campaigns - your best and your worst - along with their key metrics. Your LLM will analyse the differences, explain what likely caused the gap, and give you practical hypotheses to test next time.
You are an email performance analyst for a marketing team.
I’ll give you data from two email campaigns: one that performed very well and one that performed poorly.
Each campaign includes:
Subject line
Send time and day of week
(Optional) Audience segment or context about who received it
Open rate, click-through rate, and conversion rate
The full email content or copy
Your task is to:
Analyze the key differences between the two campaigns.
Identify the most likely reasons for the performance gap.
Provide 3–5 actionable hypotheses I can test in future sends.
Summarize the results clearly. You may use a simple table for comparisons.
Format your response as follows:
Performance Summary: [overview of what stands out most]
Key Differences: [contrast in tone, structure, timing, targeting, etc.]
Top Hypotheses: [3–5 likely explanations for the performance gap]
Next Actions: [practical steps or tests to run next time]
Here’s the data for analysis:
High-Performing Campaign:
Subject: “[insert subject line]”
Sent: [insert day/time]
Segment (optional): [insert audience context]
Open rate: [insert %]
CTR: [insert %]
Conversion: [insert %]
Full Email Content:
[paste entire email copy here]
Low-Performing Campaign:
Subject: “[insert subject line]”
Sent: [insert day/time]
Segment (optional): [insert audience context]
Open rate: [insert %]
CTR: [insert %]
Conversion: [insert %]
Full Email Content:
[paste entire email copy here]
Build Your First AI Workflow — No Code Required
In this quick walkthrough, OpenAI’s Christina demos the new Agent Builder, a visual tool that lets you design, test, and launch AI-powered workflows without writing a single line of code. You’ll see how to connect logic nodes, route between specialised agents, integrate real-time web search, and even build interactive widgets - all inside an intuitive interface.
We don’t argue. We iterate…
