ChatGPT, Claude, and Gemini enter a cage match...

Summary

MarTech Podcast™ // Marketing + Technology = Business Growth
Episode: ChatGPT, Claude, and Gemini enter a cage match...
Host: Benjamin Shapiro
Guest: Kevin Yalowitz, Global Software and Platform Lead at Accenture
Release Date: June 19, 2025

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Introduction

In this engaging episode of the MarTech Podcast, host Benjamin Shapiro welcomes Kevin Yalowitz from Accenture to delve into the competitive landscape of advanced language models—ChatGPT, Claude, and Gemini. The conversation centers around how these AI models are reshaping the advertising and marketing technologies sectors, with a unique twist: envisioning them in a hypothetical cage match to determine which powerhouse would come out on top.

The Cage Match: Comparing ChatGPT, Claude, and Gemini

Benjamin kicks off the discussion with a provocative question: "If ChatGPT, Claude, and Gemini were in a cage match to the death, who would win?" (01:15)

Kevin responds candidly, acknowledging the complexity of the question:
"I don't know that I could say there would be a winner. I know that's a terrible answer, but to be honest with you, you're a natural born consultant, you gotta give me one." (01:35)

Pushing further, Benjamin outlines the unique strengths of each model:

• Gemini: Backed by Google, extensive data resources, and a robust history in AI and machine learning.
• ChatGPT: Holds a first-mover advantage with substantial backing and widespread momentum.
• Claude: Specializes in understanding human tone, which is crucial for effective AI interactions.

He asks Kevin to weigh in on which model might prevail based on these attributes.

Evaluating Each LLM's Strengths and Weaknesses

Kevin delves into his assessment of the three models:

"I've been very impressed with the breadth of Gemini. I've been quite impressed with the depth of ChatGPT, but I will say the one player that has surprised me on its answers to really complex questions, where I want to see deductive reasoning, is Claude. So, had you asked me two weeks ago, I would have said Claude may have been the winner here. But what's interesting is we now see deep research modules actually from both players, and it's pretty compelling." (02:31)

He continues to express his evolving perspective, noting that all three models have strengths that make them formidable contenders in their own right. Kevin humorously suggests that betting on all three might be the most pragmatic approach, emphasizing the multifaceted nature of their capabilities.

Real-World Application: Host's Experience with All Three Models

Benjamin shares his practical experience of integrating all three LLMs into his podcast strategy, illustrating the complementary strengths of each:

1. Gemini:
   "I started with Gemini because Gemini has access to emails and all my docs and it was easier to upload. Also, huge context window so I can feed all of my transcripts for all of my conversations with this client and all the onboarding docs and everything." (03:05)
   He utilized Gemini to consolidate extensive data, creating a Master Brand Document.

2. ChatGPT:
   "I took the consolidated data that Gemini spit out... and fed it to GPT and said, okay, here's the context of the podcast I'm trying to produce. Now let's do some deep research because I think the reasoning for GPT is best in class." (03:20)
   Here, ChatGPT was employed for in-depth analysis of the podcast industry, identifying relevant media sources, and assessing the competitive landscape.

3. Claude:
   "I feed it to Claude and I say, here's all the information in the world that you need about this podcast. Write the podcast description, right? Claude's the best copywriter." (03:35)
   Claude was leveraged for crafting compelling copy, highlighting its strength in understanding and generating human-like text.

Benjamin concludes that while Claude may have initially seemed the frontrunner, the synergy achieved by utilizing all three models provided the best results:
"The end result for me was Claude. But I do think that they all jump from the top rope to use the cage match, and they kind of land in the same pile together. All three of them are necessary." (04:15)

Adoption and Usage Insights

Kevin expands the conversation to broader adoption metrics and usage patterns:
"Gemini is the most used model. If you just take Google search summaries by Gemini, it is the most used model. Now, we both know that ChatGPT has more paying subscribers than anyone else, so there's an angle there. So I think it's a complex question." (04:34)

Benjamin challenges this assertion, clarifying that Gemini's usage is often through integrated platforms like Google Search, rather than direct user engagement:
"I call BS on that Gemini is the most used model, but people aren't going to Gemini to use the model. Google is replacing their existing features with Gemini, so you're using the installed base." (04:56)

Acknowledging the complexity, Kevin agrees:
"True, but objectively, this is a multifaceted debate for sure." (05:07)

Conclusion and Takeaways

As the discussion wraps up, both hosts recognize that the comparison between ChatGPT, Claude, and Gemini is nuanced and multi-dimensional. There isn't a definitive "winner," as each model excels in different areas and serves varied use cases. The episode underscores the importance of leveraging multiple AI tools to harness their unique strengths, rather than seeking a one-size-fits-all solution.

Benjamin concludes with practical advice for marketers and business leaders:
"Until next time, my advice is to just focus on keeping your customers happy." (05:11)

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Key Takeaways

• Diverse Strengths: ChatGPT, Claude, and Gemini each bring unique capabilities to the table, making them valuable for different aspects of marketing and business growth.

• Synergistic Use: Combining multiple LLMs can enhance overall effectiveness, as demonstrated by Benjamin's podcast strategy.

• Adoption Metrics Vary: Usage and popularity can differ based on how models are integrated into existing platforms versus direct user engagement.

• No Clear Winner: The competitive landscape is dynamic, with each model continuously evolving and expanding its capabilities.

Notable Quotes

• Benjamin Shapiro [01:15]: "If ChatGPT, Claude and Gemini were in a cage match to the death, who would win?"

• Kevin Yalowitz [02:31]: "I've been very impressed with the breadth of Gemini... but I will say the one player that has surprised me on its answers to really complex questions is Claude."

• Benjamin Shapiro [03:05]: "I created a podcast strategy using all three LLMs yesterday."

• Benjamin Shapiro [04:56]: "I call BS on that Gemini is the most used model, but people aren't going to Gemini to use the model."

• Kevin Yalowitz [05:07]: "Objectively, this is a multifaceted debate for sure."

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Transcript

[Benjamin Shapiro]

The Martech Podcast is a proud member of the I Hear Everything Podcast Network. Looking to launch or scale your podcast, I Hear Everything delivers podcast production, growth and monetization solutions that transform your words into profit. Ready to give your brand a voice? Then visit iheareverything.com.

From advertising to software as a service to data, across all of our programs and clients, we've seen a 55 to 65% open rate.

[Kevin Yalowitz]

Getting brands authentically integrated into content performs better than TV advertising.

[Benjamin Shapiro]

Typical lifespan of an article is about 24 to 36 hours. If we're reaching out to the right person with the right message and a clear call to action, then it's just a matter of timing.

Welcome to the Martech Podcast, a member of the I Hear Everything Podcast network. In this podcast, you'll hear the stories of world class marketers that you technology to drive business results and achieve career success. Here's the host of the Martech Podcast, Benjamin Shapiro.

I'm Benjamin Shapiro and joining me today is Kevin Yalowitz, the global software and platform lead at Accenture, who is going to explain how AI is reshaping the advertising landscape. All right, get ready for my favorite question of the day. If ChatGPT, Claude and Gemini were in a cage match to the death, who would win?

[Kevin Yalowitz]

I don't know that I could say there would be a winner. I know that's a terrible answer, but to be honest with you, you're a.

[Benjamin Shapiro]

Natural born consultant, you gotta give me one.

[Kevin Yalowitz]

I think that the money would be on the player that probably would actually win the match.

[Benjamin Shapiro]

Well, let's talk through this a little bit. You have, let's start with Gemini. I think the incumbent, it's got all this backing, they've got all the data in the world, it's supported by Google, they've been doing artificial intelligence and Mach learning for a long time. You've got ChatGPT, who in this case has a first mover advantage, very well backed, has all the momentum in the world. And then you have Claude, who seems to be a specialist and understands sort of the human tone, which might actually be what matters the most when it comes to artificial intelligence. So with that framing, where you have the backing of data, the first mover advantage, or the general ethos of what people want, which one are you picking?

[Kevin Yalowitz]

I've been very impressed with the breadth of Gemini. I've been quite impressed with the depth of ChatGPT, but I will say the one player that has surprised me on its answers to really complex questions. Where I want to see Deductive reasoning is Claude. So had you asked me two weeks ago, I would have said Claude may have been the winner here. But what's interesting is we now see deep research modules actually from both players, and it's pretty compelling. I don't know, if I had to bet on all three, I might do it.

[Benjamin Shapiro]

I created a podcast strategy using all three LLMs yesterday.

[Kevin Yalowitz]

Did you?

[Benjamin Shapiro]

Okay, yes. And I used all three and I think that here are the use cases where they became interesting. One, I started with Gemini because Gemini has access to emails and all my docs and it was easier to upload. Also, huge context window so I can find feed all of my transcripts for all of my conversations with this client and all of the onboarding docs and everything. Just, hey, here's a huge data dump and I need to create a master brand doc to feed to all the other LLMs to do everything. Then I took the consolidated data that Gemini spit out after I gave them all of my contacts and fed it to GPT and said, okay, here's the context of the podcast I'm trying to produce. Now let's do some deep research because I think the reasoning for GPT is best in class. Analyze the podcast industry. Help me figure out what the media sources I should be looking at for to figure out what's relevant. Help me figure out my competitive set. Like go through the Internet, do all the really hard work and then come back and take all of that and then I feed it to Claude and I say, here's all the information in the world that you need about this podcast. Write the podcast description, right? Claude's the best copywriter. And so I do think if we're talking about a cage match where you say, well, I think I. Two weeks ago, I'd say Claude. The end result for me was Claude. But I do think that they all jump from the top rope to use the cage match, and they kind of land in the same pile together. All three of them are necessary.

[Kevin Yalowitz]

The interesting part of this, though, is it also defines what the cage match fight is based off of, because if it's based off of broad adoption, to be very clear, Gemini is the most used model. If you just take Google search summaries by Gemini, it is the most used model. Now, we both know that ChatGPT has more paying subscribers than anyone else, so there's an angle there. So I think it's a complex question.

[Benjamin Shapiro]

I call BS on that Gemini is the most used model, but people aren't going to Gemini to use the model. Google is replacing their existing features with Gemini, so you're using the installed base.

[Kevin Yalowitz]

True, but objectively, this is a multifaceted debate for sure.

[Benjamin Shapiro]

Yeah, we could have done a whole podcast on this. And that wraps up this episode of the Martech Podcast. Thanks for listening to my conversation with Kevin Jalowitz, the Senior Managing Director of Global Software and Platforms at Accenture. If you'd like to get in touch with Kevin, you can find a link to his LinkedIn profile in our show notes or on martechpod.com or you can visit his company's website, which is Accenture.com. if you haven't subscribed yet and you want a daily stream of marketing and technology knowledge in your podcast feed, hit the subscribe button in your podcast app or find us on YouTube and we'll be back in your feed every week. All right, that's it for today, but until next time, my advice is to just focus on keeping your customers happy.

Thanks for listening to the Martech podcast, and I hear everything. Production Looking to launch or scale a podcast like this one for your brand? Then visit iheareverything. Com.