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Big question, how does ChatGPT decide how to answer question, how to how to answer questions? Like I said, it is trained for many different data sources. Okay. Big public websites, government websites, CNN.com, fox News. Right. Big media websites. Wikipedia. Right. Big public prominent websites. But our personal websites, if you have a website for your business, your. Unless you have done some things wrong, your website content is going into the Chat GPT data set. Okay? Forums are a big one. Reddit, Quora, Yelp. Okay. Really big source of information for Chat GPT, especially Reddit. Blog and video content is indexed. Okay. ChatGPT, the other platforms have the ability to crawl a video, pull a transcript out of it, and include that information and in its answer. So if you don't like to write and you really like to create video content, that's okay. You can create content that's still going to be found by ChatGPT. Right. This is interesting. A lot of people don't realize this offline data as well. Okay? Books, textbooks, magazines, academic papers, this stuff is also loaded into ChatGPT. Okay? All right, so there's all this information out there. Here's the way to think about it. When ChatGPT is answering your question, it is flipping over a random card, okay? And that card is going to have the answer. And your goal? Our goal is to stack the deck. Okay? We want to give enough content to ChatGPT that when it randomly flips over its card to decide how to answer the question, it chooses our answer. Okay, the Dr. Seuss quote, right? Red fish, blue fish, whatever. I asked you guys to spit out that answer. Everybody answered bluefish. That's because Dr. Seuss has done a really great job of stacking our large language models with that phrase. We have all been programmed that that was the only acceptable answer. Okay? That's what we're trying to do. As we influence AI search engines, we are trying to teach it what the right answer is. So how does it work? Because there's so much content out there, something called trust signals that are going to determine what these AI search bots use to decide what information is credible.
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Episode Title: How To Influence What ChatGPT Says
Date: February 11, 2026
Host: Spotlight Marketing + Branding
This episode dives into a crucial and timely subject for law firm owners: understanding how ChatGPT and similar AI models source their information and how you can actively influence what these platforms say about your firm. The host provides both a technical explanation and actionable marketing guidance, ideal for legal professionals aiming to increase their online visibility and shape the narrative presented by AI-driven content engines.
“If you don’t like to write and you really like to create video content, that’s okay. You can create content that’s still going to be found by ChatGPT.”
(A, 00:29)
“When ChatGPT is answering your question, it is flipping over a random card, okay? ... Our goal is to stack the deck. We want to give enough content to ChatGPT that when it randomly flips over its card to decide how to answer the question, it chooses our answer.” (A, 00:48)
“That’s because Dr. Seuss has done a really great job of stacking our large language models with that phrase. ... That was the only acceptable answer. That’s what we’re trying to do.” (A, 01:12)
“‘Trust signals’... are going to determine what these AI search bots use to decide what information is credible.” (A, 01:40)
On sources:
“Reddit, Quora, Yelp. Okay. Really big source of information for ChatGPT, especially Reddit.”
(A, 00:19)
On content creation:
“You can create content that’s still going to be found by ChatGPT.”
(A, 00:29)
On the stacking the deck strategy:
“We want to give enough content to ChatGPT that when it randomly flips over its card to decide how to answer the question, it chooses our answer.” (A, 00:52)
On influencing AI outcomes:
“As we influence AI search engines, we are trying to teach it what the right answer is.” (A, 01:13)
This episode offers law firms a practical roadmap to shaping AI output about their services and expertise—by stacking the content “deck” in their favor, and sending clear trust signals with their public digital and offline footprint.