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@tjrobertson52 TikTok profile avatar

@tjrobertson52

2025-11-22

Will AI Replace Content Creators? No way. Algorithms favor quality and AI can help you create it faster...

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So I hope businesses get recommended by large language models primarily by creating a large amount of content. And one question that naturally comes up a lot is, is there any point in making content when AI is going to start pumping out a ton of content? And my answer is unequivocally yes.

I really think it's the best time to be creating content. So I'd like to explain why. The fear, of course, is that your content is gonna be lost in an ocean of content created by AI.

The primary reason this isn't the case is that the algorithms are getting better and better at servicing high quality content. Now, a lot of people will scoff at that. There surely is a lot of low quality content that surfaces and there are things you can do to optimize or even trick the algorithms into surfacing your content.

But it's getting harder to trick the algorithms. And there's a reason we're spending more and more time on TikTok. And there's a reason that Google search traffic hasn't gone down, even as more and more people using large language models.

Then you might wonder, if we're talking about creating high quality content, isn't that gonna take a lot of time and effort? How are you gonna compete against people who are using AI? And that's what I think people have been slow to realize.

You can create high quality content quickly using AI. Let's consider what makes AI slop Slop. I think there are two factors.

One is that it's generic, right? It's just the average of everything that already exists online and the other is that it makes mistakes, it hallucinates. So to solve the first problem, you need to start with some kind of novel input.

If you're a business owner, you're the expert in something and you likely already have a lot of data or some kind of internal knowledge base. The input we us

re a business owner, you're the expert in something and you likely already have a lot of data or some kind of internal knowledge base. The input we use are these videos that I record while walking my dog or more often the transcript from these videos. But one of the first things we do in working as clients is identify that input and gather everything we can gathering case studies, anything you've written on the past, any kind of knowledge base and we're also gonna interview you to get all the information we can.

What's so amazing about AI right now is that when you set up the workflow right, you can take a little bit of your expertise and knowledge and create hundreds of pieces of high quality content. I mean like the kind of content that people are really excited to find. This video is edited with AI.

It's also been turned into a blog post, social media posts. It's also quickly becoming much easier to create videos and images from text content. Just today Google announced Nano Banana Pro, which is a better version of their already best in class image generation model.

It looks like it's gonna be amazingly good at text content, infographics, presentations. I did another video about their video overviews in Notebook L M. They can take anything you've written and make it into a pretty good video.

And I imagine it's gonna get a lot better in the next year. And to address the second factor that creates AI slap, you just need a good workflow with a human in the loop. Maybe eventually it'll make sense to automate this entirely, but I don't think it does today.

And so yes, the world is about to be filled with AI content, much more so than it already is today. And when people go to a large language model to ask for recommendations, which they surely will, that large language mo

e so than it already is today. And when people go to a large language model to ask for recommendations, which they surely will, that large language model is gonna be searching through all that content, or at least the content that's high enough quality to be surfaced. So my advice is to start thinking about how you can make sure more of that content recommends you than your competitors.

Source Intelligence

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The creator expects LLM recommendation visibility to depend partly on having enough high-quality content that can surface and recommend the business.

3 related signals · LLM recommendation visibility / AI content quality / content atomization

  • Treat this as a hypothesis to measure: map whether owned and earned content that mentions the brand correlates with LLM recommendations.
  • Use this as a quality gate: reject AI-assisted content that lacks original input or contains unsupported claims before publication.
  • Create a content atomization workflow from expert source material and review each derivative asset before publication.

Questions this source answers

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What is this source mainly about?

The creator expects LLM recommendation visibility to depend partly on having enough high-quality content that can surface and recommend the business.

What should an operator take from it?

Treat this as a hypothesis to measure: map whether owned and earned content that mentions the brand correlates with LLM recommendations.

Which topics does it connect to?

This source is connected to LLM recommendation visibility, AI content quality, content atomization.

What public evidence supports the record?

So I hope businesses get recommended by large language models primarily by creating a large amount of content. And one question that naturally comes up a lot is, is there any point in making content when AI is going to start pumping out a ton of content? And my answer is unequivocally yes. I really think it's the best time to be creating content...