Let's be honest: we can't game large language models (LLMs) or manipulate results the way we want. Anyone who claims otherwise is lying.
So what are we doing?
We break this down into three parts. First, understand the current results. Second, understand how those results were reached. Third, create similar content for your business so the next time an LLM searches, it's positioned to surface your brand.
This is possible, and it's not manipulation. It's the same approach companies have used with SEO for years to rank higher in Google searches.
But if you're wondering, "I'm already investing in SEO, so why would I need AI SEO?" you're not alone. We just said nobody can manipulate LLM results, and LLMs discover content using the same Google search engine. So it makes sense to focus on SEO and not worry about AI SEO, right?
You're both right and wrong. Google's algorithm differs from how LLMs rank results, even though both rely on the same Google crawlers that index billions of pages. That's precisely why you should complement your SEO efforts with AI SEO.
Tens of millions of Americans now use ChatGPT, and many of these searches would have traditionally gone to Google. People are switching to asking ChatGPT instead.
Now that we've established the difference and importance, how should you implement this for your business?
First, know where you stand. You can do this manually or automate it through OpenAI API queries (that's where we come in). But let's start with the manual process. Say you're an HVAC contractor in Denver, Colorado. Simply go to www.chatgpt.com and type "who are the best HVAC contractors in Denver, Colorado." As of today, the results include: