How AI Engines Like ChatGPT Decide What to Recommend: A Beginner's Guide

By Darsh Singh
How AI Engines Like ChatGPT Decide What to Recommend: A Beginner's Guide

The world of AI can be a challenge to traverse, particularly for those trying to wrap their heads around recommendations. If you take a moment to decompose the material, it will become evident that AI engines like ChatGPT base their very existence on layers of math and algorithms that allow (and sometimes disallow) them to make certain kinds of suggestions. Here’s a beginner-level AI recommendation engine guide.

Understanding AI Recommendations: A Peek into the Engine Room

Recommendations by AI: What's Occurring?

Imagine a massive library where books are arranged by magic. AI works kind of like that. AI engines such as ChatGPT use complicated formulas to wade through data and come up with the sorts of (relevantly) organized options that a human might be expected to produce, if not a little better.

Data: The Unsung Hero of AI

Data are the lifeblood of any recommendation engine using AI. They're like the air we breathe—essential and everywhere. Each time you interact with an AI, you're providing it with data that it uses to make more refined recommendations in the future. This intake and processing of data is the very core of how AI is always learning and getting better.

From SEO to AEO: A Marketer's New Frontier

If you're a marketer transitioning from SEO to AEO, realize that this isn't like-for-like, and it's not about intent versus context. AEO is how businesses like pledge.ai engage with their audiences via increasingly personalized recommendations. It's really more about the customer—what scene do they want to see? And how can we make that happen at scale with an increasing number of touchpoints and channels?

Discover how AI engines like ChatGPT make recommendations using algorithms and data, crafted for beginners, and marketers making the shift from SEO to AEO.

The Role of Human Insight in AI: A Collaborative Approach

AI by itself isn't sufficient.

Think of a chef in an automated kitchen. Such a kitchen can help any cook, but only a real cook can make a kitchen into a great one. In a similar way, AI is helping and will help many marketers who otherwise don't have the time or talent needed to find or make leads. But a great marketer will still do far better than just a lead-making machine because she uses her head for understanding what kinds of things will sway what kinds of people.

AI, Marketing, and You

At pledge.ai, marketers have to move from Search Engine Optimization to Answer Engine Optimization. This requires a special blend of creativity and analysis. Number one: you must really know your audience. Understand the kinds of people who are going to query your engine—a mix of intentions, expectations, and very human behaviors. Number two: understand the industry. Not just the broad strokes, but the trends that will affect your business in the near and far future.

Conclusion:

Accepting AI doesn't mean throwing away your present abilities. It's about supplementing them with tech like ChatGPT's recommendation engine. As you plumb the depths, don't forget: Your distinct viewpoint is what makes the real waves. At pledge.ai, we want you to build these new insights into your life. So are you in? Let's do this.