Justin has been an entrepreneur, innovator, and marketer since 2008. He’s believed in and practiced search engine optimization marketing for greater than 15 years. Within the 2020s, Justin saw the long run of AI, GPT, and the way it could impact content creation. He jumped in AI head-first, and now, he’s built the dream tool he wished he had 15 years ago: Content at Scale.

You’ve been involved in search engine optimization since 2008, how did you initially start within the industry?

I taught myself dreamweaver and photoshop in highschool and began constructing web sites. This was around 1998. It wasn’t until 2008 I made a decision to place that to make use of as a business enterprise. My second client in wanted search engine optimization work and I never looked back. I liked the recurring revenue model of search engine optimization vs one-off website projects and so I focused my efforts there going forward.

When did you first begin exploring using AI for content generation?

Even back in 2009 I used to be using article spinners to attempt to scale things up, however the output was so bad I could not use it. GPT-2 wasn’t there yet, but in 2021 I felt like AI was advancing far enough along that this was value exploring. That summer is once we began development.

Could you share the genesis story behind Content at Scale?

All my ventures had relied on content marketing. Even LeadFuze, which was the software product I launched in 2014. Despite it being solely for outbound sales, the product relies 100% on inbound traffic. So I figured even when the Content at Scale product doesn’t work, I’d still have the ability to make use of it for my very own things. It was clear content marketing was going this route and this was going to be a chance.

Content At Scale focuses on the long form search engine optimization area of interest, are you able to discuss why you selected to focus on this area of interest?

It is the one I do know deeply. It’s that in-depth knowledge that helps us differentiate from the fly-by-night tools released by developers. I actually have sold thousands and thousands in search engine optimization contracts and have done search engine optimization at a deep enough level that I knew exactly what needed to be built.

How is Content at Scale higher for long form than competing options akin to Jasper?

On the time, there was no other long form search engine optimization author in the marketplace. Jasper was really the one essential competition, but I felt like for what we were attempting to do with they weren’t really competition. Just that I felt an honest percentage of their users were using them for long-form blog purposes. So, I wanted to only go really deep on that aspect.

Are you able to discuss how Content at Scale minimizes or mitigates LLM hallucinations?

I won’t share all of the main points for competitive reasons, but one aspect that is understood is crawling of information in real-time to assist guide the content. This has multiple advantages beyond just the writing, but this helps. We’re also about to go even much further into this by doing greater than just crawling the highest rating content, but I can not share far more on this just yet.

Content at Scale was considered one of the primary corporations to concentrate on offering content that’s undetectable as being AI generated content, are you able to discuss your views on why this is essential?

Not considered one of, we were the primary. This was our primary objection and something that was essential because on the time Google wasn’t completely happy with AI content taking on their search results. Their stance on this modified and so they not care how the content is generated as long as it’s invaluable to the reader. Now, I do know they’ve released a paper talking about their AI detection research, so I still think it matters somewhat in that in the event that they know an article is AI written, they may not give the highest rankings. They will not necessarily “punish” it per se, however it won’t all the time have the highest ranked spot like you may see some AI content have now. I still think long run you wish your content as human-like as possible.

For entrepreneurs who’re focused on search engine optimization, outside of great content what are the weather that need to return together to rank high in Google?

Now we have developed an entire framework around what we call AIO editing. This essentially means adding that human component where possible to assist show your expertise on the subject material. Assuming your content is well optimized though, a very powerful thing you possibly can do is construct links. Now we have an entire link constructing department on-staff (not outsourced) only for this purpose. When your competitors even have access to platforms like Content at Scale, and you’re all publishing more content as it is best to, then Google has to make a decision who gets the rankings. And they are going to give it to the one’s with quality backlinks. Those are like votes to your site so constructing that authority becomes critical.

What’s your vision for the long run of search engine optimization?

I shared a bit about it above with links, and humanizing the content as much as possible. I feel these elements will remain a very powerful aspects for rankings as an entire. Especially to go deeper into topics than what AI can generate by itself as we begin to see more generative AI within the search results. But my suggestion is to let the AI do the heavy lifting. When you see your content get to page 2 and three, that’s the time to actually put money into it. See what you possibly can add to the content to get that to page 1. This fashion you are not spending the time on this for each single piece of content.