Episode 446AIExperience DesignB2B Marketing

Why experience design is the only edge left when AI commoditizes content with Julio Ramirez Berroa

Julio Ramirez Berroa, a marketing operations leader at a Connecticut-based B2B architectural lighting manufacturer, argues that AI is collapsing content quality into a commodity and that experience design is the only durable differentiator left for B2B marketers. He traces AI through four stages (machine learning, generative, agentic, and what he calls directive) and explains why every business is now drowning in tool sprawl, where 15 disconnected tools accumulate in two years and none of them talk to each other. Once AI can replicate the formulas that enterprise teams use to produce 'good enough' content, brand differentiation has to move from output to experience: turning prospects from spectators into participants through 3D product visualization, WebGL environments, projection mapping, and tools like Twinmotion (free under a million in revenue) and TouchDesigner (free for most small businesses). Julio warns that AI also crystallizes operational gaps, so an immersive website that outruns a real-world experience (late shipments, broken handoffs) will accelerate churn rather than prevent it. For marketers who want to break into experience design, his order of operations is start with hard close-rate data, justify spend in real dollars, then walk up the totem pole from content to customer service to revenue, designing for the hours your office is closed (when architects are at home making decisions at 11pm) so the brand still works without a human on the other end.

Julio Ramirez Berroa

Julio Ramirez Berroa

Marketing Operations Leader, B2B Architectural Lighting Manufacturer

17 min

Key Takeaways

  • 1Treat AI's evolution as a four-stage curve (machine learning, generative, agentic, and directive) and recognize that once enterprise teams turn AI into systematically viable content, the formulas are easy to replicate, so 'good enough' content stops being a brand-defensible asset.
  • 2Audit the tool sprawl before adding the next AI tool: in two years most teams accumulate 15 disconnected tools, none of which communicate, and the project management overhead alone can destroy the productivity gain you bought them for.
  • 3Move customers from spectators to participants by building 3D product visualization, WebGL environments, and annotated technical interactions inside your site, so prospects can experience product in context instead of reading another spec sheet generated by a competitor's model.
  • 4Design for the hours your office is closed: in B2B, architects and decision-makers do real work at night with nobody to call, so self-guided immersive tools that let them touch, sense materiality, and find answers on their own are where brand value compounds.
  • 5Justify experience-design budget by starting with hard close-rate data and walking up the totem pole (content, marketing operations, customer service, revenue), because immersive experiences pay back in long-term value, not next-quarter dollars, and leadership will only fund what ties back to real revenue.

About this episode

When anyone can produce decent content in minutes, 'good enough' stops being a differentiator. In this episode of Content Amplified, Julio Ramirez Berroa, a marketing operations leader at a Connecticut-based B2B lighting manufacturer, argues that AI will commoditize content quality and force marketers to compete on experience instead. Julio walks through how B2B teams can turn customers from spectators into participants using 3D product visualization, WebGL environments, and tools like Twinmotion and TouchDesigner, several of which are free or low cost for smaller companies. He explains why architects making decisions at 11pm need self-guided immersive tools, not another chatbot, and why AI will 'crystallize' operational gaps like late shipments if your digital experience outruns your real one. Julio also shares his order of operations for marketers who want to move into experience design: start with hard close-rate data, work up the totem pole from content to customer service to revenue, and earn budget by tying immersion to long-term value.

Topics covered

  • AI's evolution: machine learning, generative, agentic, directive
  • Tool sprawl and centralization in the AI ecosystem
  • From spectators to participants through immersion
  • Designing for the hours your office is closed
  • Walking the totem pole from content to revenue

Notable quotes

Good quality content will become the baseline. Right now we have a lot of AI slop and content that is not high value add, but as this tool become more sophisticated, in some businesses, especially on the enterprise level, find ways to integrate these tools in a way that is really systematically viable.

Julio Ramirez Berroa(0:02)

The first possibility in the marketing environment is to stop having the potential customers, the leads and the actual customers, be spectators and become participants.

Julio Ramirez Berroa(6:48)

The website is fantastic. Everything is good. The product is not shipped on time. Well, now what AI is doing is exposing and crystallizing all your issues.

Julio Ramirez Berroa(7:18)

We deal with a lot of architects. Architects are designing through the day. A lot of the decisions happen at night when they're at home. They don't have anybody to call. So you better have tools where they can find answers on their own.

Julio Ramirez Berroa(10:13)

Resources mentioned

  • Framework

    The Four Stages of AI and Where Differentiation Moves Next

    Map your AI strategy against four stages: machine learning (the original learning layer), generative (today's content tools), agentic (autonomous workflows), and what Julio calls directive (where systems act on outcomes you set). The strategic point is that as enterprise teams operationalize each stage, the formulas become replicable, so any advantage built on output quality alone has a short shelf life. Use the framework to pressure-test where your team is spending its time: if your roadmap is still about producing more content faster, you are competing on a layer AI is about to flatten. Differentiation moves to experience design, immersive interaction, and operational coherence as soon as good content becomes the baseline.

  • Playbook

    Forensic Data to Immersive Experience

    Be aggressive about forensic analysis of your data points before designing any new experience. Use friction analytics like Hotjar to surface rage clicks and broken flows, then translate those friction points into immersive interventions rather than another redesign. For digital, build 3D product visualization in WebGL or 3DS environments, or use Twinmotion (free under a million in revenue) for product and architectural visualization without code. For physical, use TouchDesigner (free for most small businesses) and projection mapping to turn store and event footprints into data-driven interactions. The principle: every immersive build should resolve a real friction your data already exposed, not invent novelty for its own sake.

  • Framework

    Walk the Totem Pole From Content to Revenue

    If you are a content marketer trying to move into experience design, start at the dollar end of the business and walk down. Step one is understanding hard close rates and click-to-close economics so you can justify spend in real revenue. Step two is establishing a vision where brand interactions are self-guided and optimized for the hours the company is closed (after 5pm, when buyers are still researching). Step three is sequencing investment: customer service first, then marketing operations, then content, because content is the last item on the totem pole even though it closes most deals. Working top-down means you can always allocate any tactic back to revenue, and you stop pitching experiences leadership cannot fund.

Julio Ramirez Berroa (00:02) The idea of AI tools is that almost anybody can create good content relatively quickly without a lot of technical knowledge. Good quality content will become the baseline, right? Right now we have a lot of AI slop and content that is not high value add, but as this tool become more sophisticated in some businesses, especially on the enterprise level, find ways to integrate these tools in a way that is like really systematically viable. Benjamin Ard (00:52) Welcome back to another episode of Content Amplified. Today I'm joined by Julio. Julio, welcome to the show. Julio Ramirez Berroa (00:57) Thank you very much. A pleasure to be here. Benjamin Ard (00:59) Yeah, Julio, I'm excited. This is just going to be a fun conversation. I believe in this concept so strongly. I'm excited to hear about everything that you're talking about. We're going to talk about AI and all sorts of fun stuff. But before we dive in, let's get to know you. Let's get to know your background, work history. That way the audience has a good starting point for everything. Julio Ramirez Berroa (01:19) Perfect. So I am Julio Ramirez. I was born in the Dominican Republic. My training is basically in design, 3D visualization, branding. But I've been doing marketing operations in different capacities for about 10 years now, spanning from B2B, B2C, large enterprise, small companies. And the focus of my work right now, I work for a lighting manufacturer based in Connecticut. So our operations are mostly B2B, in different verticals, especially in the lighting industry. It's the AC industry to be more exact. And part of my job is basically not only the nurturing, but a lot of account-based marketing, orchestration, systems integration, and all that. So my work is really all about really connecting to customers on a direct basis, right? Since B2B is usually smaller in terms of the need for audience, right? You can get a lot of profit from a relatively small pool of clients. So my job is to be in contact, collecting insight, calibrating website, you know, developing apps. So I'm basically touching all the areas of business in that regard and really focusing on optimization. So that's kind of the main summary of where my work stands at right now. Benjamin Ard (02:28) Love it. That's so cool. And going through your background, I love the experience from B to C, B to B, large, small. I feel like all the different standpoints and the different experience brings a lot to the table. So I'm excited for this conversation. For our audience listening, what we're going to be talking about is how experience is the biggest differentiator now when AI makes content creation available to everyone. So diving in Julio off the very get go, when anyone can create content, experience feels like it's the only advantage left as we were emailing about the subject. That was something you really cared about. Can you unpack that a little bit? What does that mean? What do we mean by experience is the only advantage over AI now that AI is so easily accessible. Julio Ramirez Berroa (03:13) Okay, so I think first is to make a decoupling of what I think are two key concepts, right? The first one is understanding how AI is bound to potentially evolve, right? So from my perspective, AI started with agentic, although in the past before it was AI, was machine learning, right? So it became, it was first the learning stage, so it's zero, then it became generative. Now we're into agentic. My theory is that we go into directive, right? Then what happens after that, nobody knows. But this is the important part. Businesses spend a lot of time on centralization of data, right? Where do I get all my assets collected? How do I keep my content under one umbrella? How is everything really a smooth transition and orchestrated environment? The challenge with AI is that, number one, you have volume by offering and then volume by output. Meaning you get a new tool every two days, right? And this new tool promises solving all kinds of problems. The challenge with something like that is that because the businesses are in this constant fear of losing to the curve of competitiveness, they jump onto these tools. Before you know it, over the course of two years, you're using 15 different tools. Neither one of them are communicating. And now the project management of them becomes highly problematic. Then comes the other environment, which is, okay, let's say that we happen to be able to manage these tools. Now we need to be able to centralize the content so people can access it, query it, use it, right? And then eliminate issues like potential hallucinations in systems, right? So that's part number one, right? So it's the management of the ecosystem. But now into the building of the content, this is where the bigger challenge lies. If the idea of AI tools is that almost anybody can create good content relatively quickly without a lot of technical knowledge. Good quality content will become the baseline, right? Right now we have a lot of AI slop and content that is not high value add, but as this tool become more sophisticated in some businesses, especially on the enterprise level, find ways to integrate these tools in a way that is like really systematically viable. Anybody can go and replicate that, right? Those formulas are not complex because that's the whole promise of AI, right? Like democratizing. So if AI fulfills the promise, what JP Morgan Chase can do in automation, they have more resources, but the baseline of the automation and tools to be used can be easily replicated. When you are in an environment like that, where all the content is relatively good quality content or what a lot of marketers usually call good enough content, you don't have a way to differentiate yourself in the pool, especially because we do not know how much of, especially through Gantt, basically artificial data. When all these tools are building things optimized for your company, you don't know if they're replicating that exact same formula for your competitor, right? So now the challenge is that when something like that happens, you need to create experiences that go beyond just good quality content. But why do we need to do that? There are two reasons to me. Number one is because the whole idea of AI is to open the possibilities. Well, the first possibility in the marketing environment is to stop having the potential customers, the leads and the actual customers be spectators and become participants, right? So that's when immersion comes into the mix, right? And I'm not talking just how we need a, like, you know, spend a hundred thousand dollars to go get a space and have a beer room so people to experience stuff. No, no, no, no. You started with simply developing an environment where people can have interactions with products in 3D. They can see annotations from products, technical information from a 3D product, right? How a product can look in a particular environment and these kinds of situations. Then you magnify that through experiential design, right? But then comes the other problem, which is when you're in a situation where like all these tools are operating for you and developing the experience, how do you maintain coherence in the user experience, meaning, okay, when I'm creating all these visualizers and all these beautiful tools and all this great content for social media, that experience needs to match the real world, right? So especially on B2B, the website is fantastic. Everything is good. The product is not shipped on time. Well, now what AI is doing is exposing and crystallizing all your issues and that can become the thing that makes your business go bad relatively quickly. So the idea of having an integrated experience and immersive ways for people to interact with the products and understand value add is how companies will really get to the next step of maximizing the value of AI. Benjamin Ard (07:51) I love that. Plus when you're talking about it, artificial intelligence, a lot of people are using it for search and discovery and it's serving up content, but it's not driving people to websites and other areas. As you have experiences, especially online, that's something the AI can't produce inside of a ChatGPT or a Gemini. That is where it has to push you to that experience so you can go and have it. So it automatically lets you still have own properties, things like that. Now, Julio, when you're thinking about this, I think everyone loves the idea of experiences. How do you come up with the ideas and then how do you execute on them? Are you using AI to execute on those? Like what technology exists? How are you coming up with these cool opportunities and really any ideas and tips for anyone who kind of wants to get into this space. Julio Ramirez Berroa (08:42) So when it comes out to the digital environment, it's relatively easy because if we are smart guys are doing our job correctly, we have enough data sets to start informing how that happens, right? Understanding, hey, where are the challenges that people are finding? You have the tool, I don't know, Hotjar, where you can see frustrations, rage clicks and all that. Okay, now you can say, okay, the user experience here is broken. What can we bring in a way that is immersive for people to go integrate? So when you have tools like, I don't know, if you're working on anybody that has some experience in the 3D world on the real environment, if you have some capacity to build tools in 3DS or WebGL environments, right, where people can have these immersive experimentations, right, in my business using tools like Twinmotion, which is mostly for product and architectural visualization, you can produce these visualizations without code. There are some limitations, but you have the ability to do that, right? So for me, when it comes down to the tip, number one is be aggressive about creating forensic artists on your data points, right? And it's not like banded in metrics. It's about really understanding friction points. What are the main core frictions and then understanding how can we bring an immersive nature? Because the value that you get from bringing an immersive nature, especially for instance in my business, we deal with a lot of architects. Architects are designing through the day. A lot of the decisions happen at night when they're at home. They don't have anybody to call. So you better have tools where they can find answers on their own. And it cannot be just a chat, right? They want to touch. They want to experience. They want to sense materiality, texture, right? So how do you scale that in other businesses? To me, again, going back to the data point. When it comes down to physical experiential, which is the most critical point, I believe that there are a lot of tools that can be executed or used in a really low cost, like tools like TouchDesigner, which is basically an immersive experience tool that is basically free for most businesses. And even Twinmotion, if your company is factoring less than a million dollars, the tool is free, basically creating data-driven interaction systems, right? This is where the value to me lies. If you, as a business and the B2B, have a decent volume of clients, you have data everywhere, right? So the job is extracting that data and converting that into immersive experiences. So that's again, TouchDesigner, projection mapping tools that you can use in your own store from project to project, you know, visuals and graphics, right? People, they get, when AI, content, digital content becomes commoditized and everybody can have access to it, people are gonna wanna go to the plazas and see what's new, right? There is a little bit of novelty there. And now architecture is really focused on building communities, right? Mixed user developments and projects of that nature. So clearly there is a redirecting towards bringing people back to the physical world, right? So how is your brand going to be positioned when those experiences happen, especially in the B2B, because it's more challenging, right? You're not commoditizing products. So thinking creatively about how you use footprints, how you go into partnerships. That's one of the most critical points will be the main element to me that will help you get to that level of differentiation in the market. Benjamin Ard (11:52) I love it. So for anyone listening today, who's thinking, okay, you're right. Julio is talking about the fact that content can be created by anyone. AI is there. There's this progression and we need to create this immersive and experience based opportunities. If I'm sitting there thinking, well, shoot, I just make content. How do I start to develop the skillset to become an experience designer, someone who can create and craft these experiences. So as things progress with AI, I have positioned myself into a whole new position and I'm in a place where I add even more value to the business. Any recommendations for like how I can move through that learning curve? Julio Ramirez Berroa (12:34) Yeah, the first part is understanding the hard data of the business, right? For two reasons. Number one is you cannot go ask for a budget to create a physical experience if you cannot justify it through the business. That's number one. But number two, that is the only way where you can come up with proper solutions. So number one, so for me, I say go in, understand close rates on this, like go from click to close rates. Understand how the business model of the company that you operate for or you work for really translates into real dollars because that's what you're going to be extracting. And the other part is like your marketing budget allocation is always in competition with other assets, right? Whether it's capex, employment, anything like that. So when you're like extracting from there, the justification for the value add needs to be really clear. The challenge with the justification of the value add is that physical experiences are usually mostly connected to long-term value. You don't get to see the dollars right away. So in order to get to that point where you can then justify it to leadership, to me, after you understand how hard dollars operate, the next environment is basically focusing on, okay, how do you establish a company vision in which the interactions that people have with the brand offline and online, let's call it more off hours, are self-guided and optimized. I think about basically the way that I usually look at building any experience design is like, how can my brand get proper exposure and proper value when the company is closed, right? Basically 5 p.m. through whatever time because that is the point where people are, the value of people remembering your brand really becomes crystallized, right? Most people are working during work hours. That's why they're called work hours. So your value and the B2B needs to come derived from that. But then now getting into the more technical part, how do you really become like, or enter the world experience design? Let me talk about orchestration, right? You need to first think about, again, how the self-support goes, then how does that translate into one of the most important businesses or parts of the business to me is customer service. How does customer service basically orchestrate with the hard dollars? Then you come into how is marketing coming into the mix? How are marketing operations strategized? How are marketing operations defined? Then you go into the aspect of the content. The content is the last item of the totem pole. It's the one that closes most of the deals, but it's the last item of the totem pole. So the job is how do I get the closest to the dollars that I can understand in that. And then you can walk your way down because then the other value that you get from that is that now you're again at the baseline on the content, you go on the top, everything in between is really easy to understand. But if you try to just go from content onto marketing, onto customer service, then to the top, it's going to take you more time and you're never going to have real allocation to dollars. So for me, become good partnership with the people that run the business and understand the business. That is the step zero for me. Benjamin Ard (15:37) I love it. And Julio has promised these episodes go by so quick. We have run out of time. I love the message as content is a commodity for everyone. Move to experiences and immersion. There are skill sets you can pick up to get there. I love this message. Julio, I'm guessing there are going to be people that want to reach out and connect with you online. How and where can they find you? Julio Ramirez Berroa (16:00) Yeah, I'm available on LinkedIn. Julio Berroa or Julio Ramirez Berroa. I'm also available on Instagram. Instagram is mostly for my photography and personal projects. It's by_blindark, B-L-I-N-D-A-R-K. That's pretty much the places where you can find my work and see a little bit into what I do. Benjamin Ard (16:20) Love it. For anyone listening, scroll down to the show notes, regardless of what platform you're on. We'll have all of Julio's links right there so you can connect with Julio. Julio, again, thank you for the insights and time today. This has been amazing. Really do appreciate it. Julio Ramirez Berroa (16:33) It's an absolute pleasure. Thank you for having me.

About the guest

Julio Ramirez Berroa

Julio Ramirez Berroa

Marketing Operations Leader, B2B Architectural Lighting Manufacturer

Julio Ramirez Berroa is a marketing operations leader with about 10 years of experience spanning B2B, B2C, large enterprise, and small companies. Originally from the Dominican Republic, his training is in design, 3D visualization, and branding, and he currently runs marketing operations for a Connecticut-based B2B lighting manufacturer serving the architectural and AC lighting industry. His day-to-day spans account-based marketing, systems integration, website calibration, and app development, with a heavy focus on optimization and direct customer relationships. Julio believes the future of B2B marketing belongs to teams that can pair hard data with immersive, self-guided experiences that work even when the office is closed.

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Frequently Asked Questions

Julio's argument is that AI is making content production both fast and replicable, so once enterprise teams systematize it, the same formulas are available to everyone, including your competitors. Even AI-driven personalization tools may be running similar optimizations across multiple companies in the same vertical, which means content alone cannot reliably differentiate you. Experience changes the math because it turns prospects from spectators into participants through 3D visualization, immersive interactions, and self-guided tools that AI search results cannot reproduce. The brands that move first into experience design get to define their category before AI commoditization closes the gap.

He starts with forensic analysis of the data you already have. Tools like Hotjar surface rage clicks and friction points, and those friction points are the brief for any immersive intervention you commission. From there, ask whether the right answer is a 3D product visualization, an annotated WebGL environment, a projection-mapping installation in a physical space, or a self-guided tool that runs after office hours. Tools like Twinmotion (free under a million in revenue) and TouchDesigner (free for most small businesses) let you experiment without enterprise-level budgets. The discipline is: every immersive build should resolve a friction your data has already exposed, not be invented because the technology is new.

He means that an excellent digital experience now puts pressure on every other part of the business to keep up. If your website is beautiful, your immersive tools are flawless, and your account-based marketing feels concierge-grade, but the product ships late, the gap between brand promise and reality becomes obvious very fast. AI accelerates that exposure because customers can compare experiences across vendors in seconds and share friction in public channels. Julio's point is that experience design only pays off if it is paired with operational coherence; otherwise it speeds up churn rather than preventing it.

Julio's order of operations is to start with the business numbers, not the tools. Learn close rates, click-to-close economics, and how marketing dollars compete with capex and headcount, because every experience-design pitch will be tested against hard ROI. Then build the vision around the hours your office is closed: where can the brand do the work when no human is there? From there, partner with the people who run the business, walk the totem pole from customer service through marketing operations to content, and sequence your skill-building so it always traces back to revenue. The technical skills (Twinmotion, TouchDesigner, WebGL, 3DS) come last because without the dollar-justification frame, you will never get the budget to use them.

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