You might be thinking your business could benefit from an investment in generative engine optimization services going into 2026, and you might be right.
Just like higher visibility in the search engines will bring you more organic traffic and better credibility, more visibility through generative engines and AI systems like ChatGPT will offer some of the same benefits.
But there is one thing you should recognize about this, which is that if you hire a specialist for generative engine optimization (or GEO) services, they should not use AI-generated copy, and this post will explain why.
On the Issue of AI-Generated Copy
There are a few major issues with AI-generated copy insomuch as they will affect a domain’s performance in generative engines.
The first is the issue of accuracy. In its nascent form, AI tools are not good at determining fact from fiction.
This means that the biggest, most glaring issue with AI-generated copy is that it states falsehoods as truth. Depending on the subject matter, this issue can range from amusing to downright dangerous.
Moreover, outputting false information is harmful to performance in the same generative engines that produce them. AI engines are looking for high quality copy, and since they don’t produce high-quality copy, using what they produce to generate those results is counterproductive.
Following closely on this issue is another matter that will impact the performance of AI generated copy in GEO. AI engines need high-quality and accurate copy. Thin or inaccurate copy will not perform well in AI models.
On top of that, AI is an echo chamber. If all the internet does is leverage AI content, it will sooner or later become a petri dish of low-quality slop. Since it can’t produce anything new, all it can do is take information from those that have already written about something.
This brings up another unfortunate but interesting quandary of using AI. Anything generated using AI necessarily lacks an experiential component because AI models are synthetic. They necessarily lack the experience that human writers can produce.
This is not just a sticking point from a human writer that you should “hire humans and fire AI.” It is a legitimate observation that the objective quality of AI-generated output is very poor and will not perform well if you turn around and try to use it for generative engine optimization.
All of this is to suggest that if you are going to hire a specialist for generative engine optimization services, make sure they do not use AI-generated copy in their campaigns. That is counterproductive to your goals.
All in all, AI-generated copy is not going to perform well for the purposes of generative engine optimization. It’s overall inaccurate, thin, lacks an experiential component and cannot produce anything that is truly new.
Where to Start Looking for Generative Engine Optimization Services
Just like you can look for a traditional search engine optimization services provider in the search engine results through Google, you can look for a provider of generative engine optimization services through an AI engine.
Think about it. You want an agency or a partner that can get your website to show up in AI engines as an output, right?
That being the case, if an agency or GEO company shows up as an output through an AI model, that’s some pretty solid evidence that they can do what they say they’re going to do.
Pick one of those and get started planning. Higher visibility through AI models is in your near future, you just have to hire the right specialist.
