Not ChatGPT the brand. Chat as the organizing principle for how OpenAI builds products and how your customers find you. The shift is real, it’s already underway, and it redefines where discovery happens.

What OpenAI Just Announced (And Why It Matters)

OpenAI is rolling out a revamped version of ChatGPT in the coming weeks that serves as what the company calls a “super app.” The term is borrowed from Asia and the Middle East, where a single platform controls messaging, payments, commerce, ride-hailing, and services all in one place. WeChat. Grab. Careem.

Nick Turley, OpenAI’s head of product, made the strategy explicit: the company never meant to build a chatbot. It got sidetracked. The actual plan was always to build what he called a “super assistant,” and that is exactly what is happening right now.

The implications are structural. If you run marketing, this changes everything about where your customers discover you, what they expect from that discovery, and how you compete for attention inside a platform you do not control.

The Anatomy of OpenAI’s Pivot: From Products to Platform

OpenAI has spent the last eighteen months experimenting with standalone products. Sora, the video generator. OpenAI for Science, the research platform. Browser. Various integrations. The results were mixed.

In March 2026, OpenAI shut down Sora after the tool was burning $1 million per day in compute costs. The same month, Kevin Weil, who led the company’s science research initiative, and Bill Peebles, the researcher behind Sora, both announced their departures. The company was consolidating. Cutting what executives called “side quests.” Focusing the roadmap.

That consolidation has a clear target: the super app.

At its October 2025 Developer Day, OpenAI announced the ability to run apps directly within the ChatGPT interface, similar to the mini apps that made WeChat dominant across China. Initial partners include Spotify and Zillow. More will follow. The infrastructure is being built to let brands integrate directly into the ChatGPT experience.

Beyond app integrations, OpenAI shipped purchasing capabilities. The company launched new features that let the bot spend your money for you, along with a protocol to allow direct purchasing from any merchant who opts in.

The trajectory is unmistakable. OpenAI is not building ChatGPT anymore. It is building an operating system.

Why This Is Not a Product Story, It Is a Competitive Story

OpenAI’s goal is to become more competitive with Anthropic, particularly among business customers, and to get closer to profitability before an IPO.

That matters because it frames what is actually happening. OpenAI is not innovating for innovation’s sake. It is racing to become the platform where enterprise software lives. That is where the leverage is. That is where the revenue compounds.

In China, Tencent, the company behind WeChat, had revenues of more than $90 billion and profits approaching $30 billion in 2024, much of it driven by WeChat. One platform. Multiple revenue streams. Unprecedented control over customer attention and behavior.

OpenAI is trying to build the American version of that.

The Math That Should Make Marketers Uncomfortable

Here is what OpenAI has going for it: scale. ChatGPT has 800 million weekly active users, and that number continues to grow. That is larger than every social platform except Meta’s properties.

That user base is already accustomed to asking ChatGPT for answers. The interface is familiar. The trust is there. Now OpenAI is adding the ability to act directly from within that interface. Not leave to search Google. Not open a separate app. Search, compare, and buy inside ChatGPT.

OpenAI’s revenue is around $10 billion, a fraction of Google’s $350 billion. But that revenue is growing at a rate that makes traditional tech look static. If OpenAI captures even 10% of the commerce flowing through ChatGPT conversations, the revenue implications change everything about how the company is valued.

Google became valuable because it owned search. Facebook became valuable because it owned social. OpenAI is trying to own the operating system that sits between the user and every decision they make.

What Super App Economics Actually Mean for Your Business

Most marketing strategies assume discovery happens through fragmented channels: Google search, social feeds, app stores, word of mouth. That fragmentation is where your competitive advantage lives. You can win in one channel without owning others.

A super app model eliminates that fragmentation. Every customer journey converges in one place. Search, evaluation, purchase, support, repeat. All inside the same interface.

For brands, the competitive implications are brutal. You are either integrated into the super app or you do not exist to users who live there. The integration slot is real estate. Limited. Contested.

Spotify and Zillow got early access to the OpenAI super app. They did not earn that through superior SEO or a smarter social strategy. They earned it through a relationship with OpenAI at the right moment. That relationship is a moat.

The second-order implication is distribution parity. In a fragmented market, a bootstrapped company can compete with an incumbent through better content or a smarter growth strategy. Inside a super app controlled by OpenAI, distribution is binary. You are in or you are out. There is no second page. There is no algorithmic opportunity to outsmart.

The AEO Question No One Is Asking Yet

We published a field report in June about the shift from SEO to Answer Engine Optimization and Generative Engine Optimization. The core insight was that LLMs cite sources differently than Google ranks them. Citation patterns matter more than traditional backlinks.

The super app changes that calculus again.

If OpenAI integrates Zillow directly into ChatGPT for real estate queries, Zillow gets the citation slot regardless of whether its content earned it through superior structure or freshness. Integration becomes the citation mechanism. Relationship becomes ranking.

For marketers thinking about long-term discovery strategy, this is the moment to ask: what does it mean to optimize for a discovery layer you do not control and cannot see?

The honest answer is uncertainty. But the playbook is emerging. Brands that integrate early into the super app win the initial phase. Brands that build the content architecture that makes them obvious integration candidates for future phases win the middle game. Brands that wait for clarity lose.

What Marketers Should Do Right Now

Audit your discovery assumptions. Most marketing strategies built in the last five years assume Google and social fragmentation as the baseline. That baseline is shifting. What parts of your strategy break if ChatGPT becomes the primary discovery interface for your category?

Map the integration opportunity. OpenAI has roughly 800 million users and a super app framework being deployed over the next six months. If you are a B2B SaaS company, a commerce brand, or a service business, there is a nonzero probability that you belong inside that interface. What would your integration look like? What would OpenAI require from you to offer that integration?

Build for integration, not just discoverability. The brands winning inside a super app are not the ones with the best SEO or the cleverest content strategy. They are the ones that make OpenAI’s job simpler. Spotify works inside ChatGPT because the integration is clean, the value is obvious, and the data model is straightforward. If you want to integrate into the super app, make your business easy to integrate.

Understand that this is not optional. The companies that built themselves around Google’s algorithm in 2006 became household names. Their competitors never caught up. OpenAI’s user base is already massive. The super app deployment is underway. The window for integration is closing.

This is not a “wait and see” moment. This is a “move while the playing field is uncontested” moment.

The Line from Here

OpenAI did not invent the super app. WeChat, Grab, and Careem proved the model works at billion-dollar scale. OpenAI is importing that model into America, where no company has successfully built the equivalent.

The execution risk is real. OpenAI has to integrate hundreds of services, manage merchant relationships, handle payments and fraud, and maintain quality across an ecosystem it does not directly control. That is hard. Harder than making a great chatbot.

But the company has something most potential competitors lack: an installed base of 800 million users who are already in the habit of asking it for answers. That habit is a moat. That user base is a distribution advantage that is extremely expensive to replicate.

The next eighteen months will determine whether OpenAI can convert that advantage into dominance in the super app category. If it does, the companies that integrated early will have captured their categories. The ones that waited will be explaining to their boards why they lost to a competitor that moved faster.

The chatbot era is ending. The super app era is beginning. Your discovery strategy either moves with that shift or it becomes a legacy business problem.

Ricardo Mazzi

Marketing leader, drummer, husband and father of two amazing teenage athletes. Ricardo has been involved in digital marketing for over decades holding leadership positions for various healthcare tech companies. He founded Mazzi Studios during the pandemic to help businesses of all industries plan and execute marketing strategies.

www.mazzistudios.com

The post OpenAI’s Super App Pivot: Why “Chat Is Dead” Changes Everything for Marketers appeared first on Mazzi Studios.

For years, I’ve carried around a handful of concepts—truths, really—about technology. I never wrote them down, never shaped them for an audience. They lived in the margins of my thinking, surfacing during conversations, strategy sessions, and moments of quiet reflection.

Then I started working with ChatGPT.

Not as a search engine. Not as a gimmick. But as a true collaborator.

What follows is the synthesis of those long-held beliefs and the generative power of AI—a co-written exploration of what technology really is, how it changes us, and why we may be entering the most exciting chapter yet.

1. The Real Definition of Technology

Let’s start with a redefinition.

Technology is anything that gives you immediate amnesia about your old problems and introduces you to a new class of problems you didn’t even know existed—or couldn’t afford to care about before.

This isn’t just semantics. It’s foundational. Technology doesn’t just solve; it reshapes the problem space. It reorganizes our attention. What once seemed insurmountable becomes invisible. And what once felt irrelevant becomes urgent.

2. The Three Phases of Technology: Duplicate → Enhance → Transform

Bob Battista

Believe in multi-potentialism and that we are all generally capable of great things. Bob is a serial entrepreneur and seasoned executive who’s spent his career at the intersection of healthcare, education, data, and technology.

substack.com/@bobbattista

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When I hear a phrase or sentence fragment from someone, chances are a song lyric or melody comes to mind. My family jokes “of course you have a song for that!”

If you were alive in the 80s you may remember this song from 1986. Eric Clapton’ : “It’s in the way that you use it.”

This hook and title of this song express my thoughts on artificial intelligence (AI) tools.

And while Eric Clapton wasn’t singing about artificial intelligence (AI), the sentiment couldn’t be more relevant today.

AI is everywhere—chatbots answering questions, tools that write emails, create images and videos, algorithms that predict what you’ll buy next.

And while the buzz around AI can sometimes feel overwhelming (or even a little dystopian), the reality is far simpler: AI is a tool.

What is artificial intelligence Google search.

Like a hammer or a paintbrush, its value depends entirely on how you use it.

The good news?

You don’t have to be a tech wizard to use AI effectively. You just need to focus on using it productively. This isn’t about AI replacing you. If you think that AI will be replacing you, it will be more likely those that use AI will be replacing you.

It’s about AI empowering you to work smarter, not harder. Boost your output and productivity and save time.

Here’s are some ideas to make it happen.

Change Your Mindset with AI and AI Frameworks

First things first: AI isn’t here to take your job. Sure, it can automate tasks and perform repetitive work with incredible speed, but it still needs you. Why? Because AI lacks the one thing that makes your work truly impactful: your human creativity and judgment.

Think of AI as a co-pilot or you are the editor-in-chief and AI is your editorial staff. It’s there to assist, not lead. You control the strategy, the vision, and the execution. AI just helps you get there faster.

For example:

• A writer uses ChatGPT to brainstorm content ideas or overcome writer’s block. But the writer is still the one shaping the story, adding nuance, and ensuring the message resonates with his readers.
• A marketer uses AI to analyze campaign performance and suggest optimizations. But the marketer decides which strategies to pursue based on the data.
• A project manager automates task assignments using AI-powered tools but remains responsible for timelines, team dynamics, and prioritization.
• A PPC specialist may use AI to research keyword search term ideas for an upcoming Google Ads campaign, prioritize them based on search volume and competition. Still, the specialist needs to bring in brand knowledge and select the relevant search terms.
• Software developers may want to generate code and CSS to help them develop faster, but still need to make custom tweaks to the code.

AI is not perfect, and it makes mistakes.

In every scenario, the human remains in charge. AI is just the engine revving up the process.

AI is a broad field that encompasses many different disciplines, including computer science, data analytics, and neuroscience

Identify Your “Productivity Pain Points”

Before you dive into using AI, take a moment to ask yourself: What are the tasks that slow me down the most? These are your productivity bottlenecks—the areas where AI can make an immediate impact.

Here are some common examples:

• Repetitive Admin Tasks: Scheduling meetings, managing email responses, or data entry.
• Time-Consuming Research: Gathering market data, analyzing trends, or summarizing complex information.
• Content Creation: Drafting emails, social media posts, or blog outlines.
• Customer Engagement: Handling FAQs, tracking leads, or managing CRM systems.

Once you’ve pinpointed your bottlenecks, you can start exploring AI tools that address those specific challenges.

Leverage AI to Amplify Your Strengths

AI doesn’t just save time—it amplifies your strengths. It gives you more bandwidth to focus on the parts of your work that truly matter.

Here’s how to use AI in practical ways:

1. Streamline Content Creation

Let’s face it: creating content can be a grind. Whether you’re drafting a blog post, a LinkedIn update, or a newsletter, staring at a blank screen can feel daunting. Enter AI.

Tools like ChatGPT, Jasper, or Writesonic can:

• Generate outlines for blog posts or presentations.
• Suggest catchy headlines or email subject lines.
• Write drafts that you can refine and personalize.

Example: Instead of spending hours brainstorming blog ideas, you can prompt ChatGPT with a simple query like, “What are the top 5 challenges in healthcare marketing?” In seconds, you’ll have a list to kickstart your process.

Another Example:  Your content or marketing specialist can grab content and create an insanely realistic podcast.  Listen below:

2. Automate Repetitive Work

Repetition is the enemy of creativity. If you’re spending your days copy-pasting, organizing spreadsheets, or sending routine emails, AI can take over.

AI-powered tools like Zapier, Grammarly, or HubSpot automate tasks such as:

• Following up with leads via personalized email sequences.
• Proofreading and optimizing written content.
• Syncing data between platforms.

Example: A marketer can set up automation in HubSpot to nurture leads with email workflows. Instead of manually tracking and following up with each contact, the AI does it for you—while you focus on strategy.

3. Supercharge Data Analysis

Data is everywhere, but making sense of it is another story. AI tools can process massive datasets, highlight patterns, and surface actionable insights faster than any human ever could.

Try tools like Google Analytics, Tableau, or even ChatGPT for:

• Analyzing marketing performance metrics.
• Identifying trends in customer behavior.
• Generating reports with clear visuals and summaries.

Example: Instead of manually combing through campaign data, you can ask AI to generate a report that shows which channels are driving the highest ROI.  If you’re bogged down creating dashboards and spreadsheets, AI help is huge for this, and can really enhance your reporting.

4. Level Up Customer Experience

AI-powered chatbots, like those of Intercom like those built with ChatGPT, aren’t just cool—they’re practical. They can handle FAQs, schedule appointments, and even provide personalized recommendations.

Example: A healthcare provider might implement an AI chatbot to answer common patient questions, like appointment availability or insurance coverage, freeing up staff to focus on more complex tasks.

Step Four: You Are In Charge (Don’t Let AI Lead You)

Remember, AI is a tool—it’s not perfect and can mistakes. It’s up to you to review, refine, and guide its output. Here’s how to stay in control:

• Always Review AI-Generated Content: AI can generate impressive drafts, but it doesn’t understand tone, nuance, or context like you do or other humans for that matter.
• Customize Automation Rules: Whether it’s email workflows or data syncing, make sure your automation reflects your specific goals and is easily repeated to save you time.
• Check for Bias: AI works based on data and input it’s been trained on. Always cross-check its recommendations to ensure they align with your brand values and audience, and are factual. Do your research to double-check links, references, and context.

Step Five: Embrace the “Eric Clapton Mindset”

AI’s impact boils down to one thing: how you use it. Just like Eric Clapton’s guitar didn’t make the music on its own, AI doesn’t deliver results on its own. It’s the user—you—who decides how to use the technology.

Here’s what that mindset looks like in practice:

• Use AI to amplify, not replace. Let it handle the mundane so you can focus on strategy and creativity.
• Treat AI as a partner, not a boss. It provides suggestions, but you make the final call.
• Experiment and iterate. The more you use AI, the better you’ll understand how to fine-tune it for your needs.

It’s in the Way That You Use It

AI is neither a magic wand nor a threat to your job. It’s just a tool—a powerful one, but a tool nonetheless. And like any tool, its value lies in how you use it.

If you lean into AI with a clear strategy, you’ll find that it doesn’t replace you—it makes you better. It speeds up your work, enhances your creativity, and gives you the freedom to focus on what really matters.

So go ahead. pick up that guitar (or AI tool). Experiment. Play around. Find your rhythm. Because when you use AI the right way, you’re not just more productive—you’re unstoppable.

Mazzi Studios

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Ricardo Mazzi

Marketing leader, drummer, husband and father of two amazing teenage athletes. Ricardo has been involved in digital marketing for over decades holding leadership positions for various healthcare tech companies. He founded Mazzi Studios during the pandemic to help businesses of all industries plan and execute marketing strategies.

www.mazzistudios.com

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