We know people — how they think and operate, and how to build stronger connections. LLMs like ChatGPT don’t know anyone, at least not accurately.
What ChatGPT and Claude can do for productivity is truly impressive, but they are not inherently designed for behavioral profiling. That takes a highly specialized engine running in the background that these and other large language models (LLMs) don’t have. So, if you want to really know how someone thinks, reacts, decides, communicates, relates to money, or what their natural talents are, you’ll have to look beyond the bots.
The DNA Behavior platform uses world-class psychometric tools to deliver reliable results built on how people actually behave — not on probability distribution formulas applied to text scraped from the web. That allows us to precisely measure human behavior across all dimensions of life, enabling us to unlock personalization and value creation opportunities that are far beyond the capabilities of LLMs.
They may be chasing us like Pac-Man’s ghosts, but psychometrics are the “power pellets” that keep us ahead in the game!
GoDNA is in a class of its own, built on 25 years of scientific research into human behavior—that’s something you can’t get from ChatGPT or any other LLM.
The difference between the DNA Behavior platform and LLMs all boils down to one thing: psychometric data. Large language models don’t use any scientifically validated psychometric system to produce reliable results in human behavioral measurement. Instead, a query will yield an articulate, confident-sounding response made up of superficial (and often misleading) knowledge that is not precise, personal, or even consistent.
Here are five critical ways that DNA Behavior is different from LLMs:
We’ve all probably asked ChatGPT about things that are beyond its scope of “knowledge.” So, below, we dive a little deeper into the limits of LLM architecture with a few examples from our own queries.
No. Claude and ChatGPT are language prediction engines with no connection to our behavioral platform or any others. Therefore, they can and do contradict themselves or hallucinate advice.
They can describe personality types in general, but they know nothing about a specific person. No matter how cleverly you may prompt them, they cannot profile a real individual with any kind of accuracy.
🔹 EXAMPLE 1: Here’s what we got when we asked ChatGPT, “What is the behavior style of Taylor Swift from New York, NY?”
It’s not possible to determine a verified “behavior style” for a specific individual like Taylor Swift using psychometric frameworks—those require direct assessment data, not public observation. That said, we can look at her publicly observable communication patterns and persona to form a high-level, non-clinical interpretation.
In comparison, the DNA Behavior model was trained on 3.5 million real responses gathered over 25 years, uncovering 4,000 unique human behavioral attributes. Our behavioral engine is trusted by one-third of Fortune 500 companies, validated over two decades of real-world application — a foundation no LLM can claim.
By running a Digital Scan on Taylor Swift, we learned that she’s an Adapter. People with this behavioral style operate from a balanced position, neither strongly left-brained nor right-brained, but do tend to be cautious and detail-oriented. They have the unique ability to flex toward whatever behavioral style is needed in the situation, making them exceptional bridge-builders on teams. Here’s a quick summary of her natural talents and potential struggles.
ChatGPT and Claude can help you write a great email, but only based on what you describe to them. They have no idea how the person you're writing to actually processes risk, handles pressure, or prefers to be approached.
🔹EXAMPLE 2: To test this, we asked ChatGPT to first, “Analyze the communication style of Leon Morales at DNA Behavior.”
Strategic, action-oriented, and behaviorally adaptive—blending executive clarity (Take Charge) with engaging, relationship-driven energy (Outgoing).
Because Leon’s behavioral details are publicly accessible, the starting point wasn’t too far off.
See Leon's Behavioral Style from DNA Behavior
🔹 EXAMPLE 3: It was truly telling, however, when we asked, “Tailor a sales pitch to sell hiking boots to Leon Morales.”
Pitch: Hiking Boots for Leon Morales
“These boots are built to keep you moving—no break-in time, all-day comfort, and traction that holds on any terrain.
They reduce fatigue on long hikes, so you can go further without slowing down.
They’re lightweight, durable, and ready for anything from quick climbs to full-day trails.
If you want something reliable that performs immediately, this is it.”
ChatGPT took off with the idea of Leon being action-oriented. It didn’t actually apply his communication style; it just packed the pitch with action-oriented verbiage.
DNA Behavior uses a virtual agent, Gene AI, that is trained to be a behavioral expert. The output Gene AI provides is anchored in the other person's behavioral profile, making every message genuinely personalized, not just well-worded.
Technically, yes, both ChatGPT and Claude can compare the communication styles of two people. But they are using only publicly available information, combined with what you tell them, rather than comparing their actual behavioral profiles. They have no idea who anyone is, how they naturally communicate, or what patterns might be causing conflict.
🔹 EXAMPLE 4: We asked ChatGPT to “Compare Leon Morales' communication style with Hugh Massie of DNA Behavior.”
The 1,011-word response was interesting, but quite cumbersome. It was split into sections detailing what appeared to be credible results, while offering no real, actionable intelligence on DNA Behavior’s CEO or its president. Here’s an excerpt:
Bottom line
The difference comes down to this:
Hugh Massie communicates to change how you think.
Leon Morales communicates to change what you do.
Both are rooted in behavioral science—but:
One interprets behavior
The other operationalizes it
Again, it’s interesting, but there is no real value to this broad, unverified interpretation.
DNA Behavior builds a behavioral profile for each user to make every interaction smarter. It provides proactive behavioral intelligence that actually knows how you think, giving you the insight you need to connect.
See Hugh’s Behavioral Style from DNA Behavior
Summing Up: Large Language Models vs. Psychometrics
While LLMs can generate helpful, human-like responses, they can’t accurately profile or personalize insights for specific individuals.
DNA Behavior uses advanced psychometric tools to deliver accurate behavioral insights, meaningful comparisons, and truly personalized communication guidance.
Again, we know people. LLMs don’t know anyone.
Book a Call with one of our experts to learn more!