Transcription
Hello, Move 37 members and local agency elite members. This is part two. We're going to continue where I left off. Google's universal AI mode triggers a new AI agent verdict economy where the AI agents are actually giving an opinion about your brand, whether it's local or national or even e-commerce.
And because I've got a lot of responses from you, I'm going to go ahead and sidetrack for a second from the presentation. I'm going to get directly into an overview of what I mean by answer engines, what I mean by artificial intelligent engines, insight engines, and not every AEO or answer engine optimization procedure is an insight engine. Google's entire camp surrounding universal AI would be considered an insight engine. But we'll get into that shortly.
But first, what I want to do is I'm going to go ahead and we're going to take a little bit of a detour, and we're going to start talking about—I'm going to give you direct examples of what I mean by answer engines and what I mean by agents actually giving verdicts almost like a judge. Sometimes they're acting like judge, jury, prosecutor, and defense all at the same time.
But I'm also going to show you along these lines across the top from the keyword function, which is the way that a lot of SEOs grew up. This is going to be a comparison mode. So, for example, I'm going to be using a client that Jimmy Kelly and I worked on with millions upon millions of impressions and optimization points and website builds. It's a company called Hosen Hughes. This client sells picture frames. This is one of many, many clients that Jimmy and I have worked on through the years.
And what I want to do in this case is I want to show you what an answer engine is, what an AI engine is, what the various search engines are doing to try to grapple and deal with this problem. And since we have a specific target, which in this case is Hansen Hughes, you'll have a pretty good idea of what's going on.
Now, some of you are familiar with Tiger, which is a traffic and impression engine created by Jimmy Kelly with a lot of backup support in the early years with Kalin and myself. And of course, Daryl Osborne has also been incredibly helpful in the early years with training courses that Jimmy and I offered, such as entity establishment and the rest.
What we're going to do here, as you can see, is I've started with a good old-fashioned search for a keyword, which is just one of the random products that they have called beige oak frames. This is how we might search in the past. You can see that when the search comes back, I'm going to go ahead and refresh it. When the search comes back, there is definitely some Hosen Hughes pictures up here. Here's a—I think this is—this might be Hosen Hughes. Okay, let's go ahead and see what we got going on here. Let's see what we got. And interestingly enough, they are not showing here right now. Here we go. Here's Hosen Hughes. They're in the second image carousel, and they're also right here. You can see them here. And one of the greatest competitors they've had is a poster store which has only recently started carrying beige oak type items. They're also on Etsy, and they're also on—this is a different brand here. But what'll happen, especially when Tiger is active, here's another one. Slid down the page a little bit here. But this is one of their bestselling products. Okay.
The reason I'm showing you this is because I want to get into—I want to show you what the answer engines and the AI engines are doing with the old keyword search. And then we're going to start comparing them to full-on prompt paragraphs and conversational AI interactions of the Google system. So what I've done is I've taken the same keyword and I've shown you in perplexity and beige oak frames just as a keyword query because, believe it or not, some old fogies and people who are not the next generation conversational AI teenagers and 20- and 30-year-olds—um, anybody above the age of 40 is probably using a lot of the AI systems right now as regular search engines with regular keywords. Okay. And so beige frames, you can see um what they have in here. They've got poss. Okay, it's even pulling up some images and it's just assuming that I'm looking for information about that particular keyword. Okay, so it will still bring back—here's also items from Hosen Hughes. So what this shows you is that perplexity will act as a search engine and will pull back a lot of stuff from Google. Okay, let's move on to the next one. The another answer engine treating it directly as a keyword. Looks like that one has gone. Let me see if I can find it. That one died. So, Grock actually has expiring links. Let me see if I can do that again. I'll go ahead and search that live for you. The only thing we're testing here is how the answer engines act with just a keyword. Okay, you're not even having a conversation, which I'm sure the conversational AI chatbots find very rude. So, it's going to look at Beasel Crims. What we're looking for here is to determine whether or not the brand is mentioned inside this. Okay, so you can see that Hosen Hughes does come up when it says where to find. Now Grock uses a different type of conversational AI which is called first principles. So it's really interesting to see how they handle it. He still is bringing back Hosen Hughes. I don't know if you know the word Grok comes from Stranger in a Strange Land, which is a Heinland novel. Okay, it means to consume whole. Uh, or it's a long story. It's science fiction. Um, but that's where Elon Musk got his Grok concept. So, Poster Club is the competitor. So, it's actually putting it in the hierarchy of order in which you might find on Google, and that's suspiciously in the retrieval augmented search a lot like Google. If you click on this, it'll take you right to Amazon Utra, the main site. So, this is borrowing clout from Google. And this is my main point to you guys is that Google is now the thousand-pound gorilla. And as we're going to see, um, we're going to move over to Gemini now. See what Gemini has said. Gemini is pulling back. Here's what you're typically looking for. But notice here, it still does mention Hansen Hughes, but more mostly down at the bottom of the page. Okay. So, it's not really saying—it's not jumping out for just a keyword search in these entries and answer engines. It's not really jumping out and saying, you know, hey, you know, it's awesome. It's not pulling the rankings directly. And of course, if I put it in Chat GPT, Chat GPT is like, "Rude. Could you please clarify what you're looking for?" Okay.
So, my main point here is I want you to understand that everybody has its own uh personality. Every AI chatbot based on—since Grock does first principles, Chat GPT does some recursive cognition, but it also does uh neuronet networking. So, all of them work slightly differently. Now, we're going to go back to Google at that old keyword. Now we're going to go up to something called the AI mode. Okay, now we're just doing a keyword and see what happens. If you treat an AI mode as just a keyword search, it'll give you um the brand in question. Okay, which is I believe Austin Hughes and brings back the Etsy image, which is quite interesting. Point here is that the brand um that we assisted with millions upon millions of impressions, massive amounts of optimization, huge amounts of schema, um tons of stuff to increase the revenue for this particular brand. Okay, so this is—and they're also doing a huge amount of work on their own independent of any contract we have with them. So this is really um giving you an idea of what it'll—just give you this background story. Okay.
Another thing I want to show you in comparison is when I showed you the other answer engines, they're borrowing a lot of this data directly from Google. That's my point to you. It's like you're in no danger of Google ever going away even within the root entity because the word frames and oak—these are—beige frame is not an entity by itself, but the word frames is and the word um beige oak is a color qualifier. So let's go ahead and go over to Bing. And if you treat it as a search engine, an AI search engine, okay, you have beige oak frame and it brings up only images. But interestingly, if you go over to co-pilot, which is next to it and quite considered to be different, it'll bring back its own ranking function. Hawen Hughes is number three and it brings up the Walmart one. So our client comes in later. Whereas on Bing, this other brand is much more popular. Okay. Um, this is important and things that you want to kind of watch. So, again, if you're wondering where I went on this, I'll show you. You just go to Bing. There's a bunch of different ways to get here, but you go to Bing, and when you type any keyword in like beige oak frame, you have these options up here. Okay, you've got search and you got copilot. There's a difference between search on AI search on Microsoft Bing—similar to uh it's similar to AI mode on Google which we're going to hit here in a second. Okay, so AI mode I just showed you. Let's go back to it. So basically the Bing AI search is to Bing as AI mode is to Google. Okay, so I'm just getting you a general overview of how these things integrate. And Microsoft Copilot is more like the Chat GPT version. Rather than incorporating the AI mode into Bing, which is kind of copying Google really, they've got their own chatbot here, which you can see is really loaded up with a whole different type of commercial response. Bing is much more commercial in everything they're doing, including pictures of images.
Okay, now we're going to go ahead and move on to some other—I'm going to show you some more advanced terms. We're going to get a little bit longer in the terms. My point here is to take you from keyword traditional where we have been in the past. Again, let's go back to our favorite little dot drawing that I know you all love. Okay, if you look at this, what I'm trying to do is show you where we've been. In other words, when we're searching for individual keywords versus answer engines and insight engines where we're doing full paragraphs because this is where we are now. So that test that I just gave you across all those uh answer engines and AI engines was just for us to remind ourselves, you know, where we've been. One thing I forgot to show you was beige frames in Claude. Claude is very interesting. It doesn't really search the web that much. It's very chipper. Kind of tells you what's going on, but it doesn't bother searching the web. Similar to Chat GPT which—because these are pure conversational neural networks—they're like, "You know how rude. Now, great, I'm not a keyword research tool. Can you please give me some more context for me to look up?" All right, so let's get out of keyword research mode and or old-school keyword research mode and we'll just jump back into another one. Here's a longer question: Where's the best place to get beige frames? Okay, you can see that Hosen Hughes does come up on some things here. But on the longer paragraphs, they're weaker. Here it is on the all search though, which is now under threat where things are going. They are here. And they're also high in the—in Canada. Okay. I'm not sure why the CA link is showing. Let me make sure that I'm not—Uh, yes, I had my setting on Canada. Let's go ahead and refresh the—It's going to be quite a bit better, I think, in the United States. And we should probably have—There they are. So there's Hosen Hughes, okay, all over the search engines, but these are the search engines that are under threat with a lot of the changes. Now the paid stuff should be fine for them. Okay, so if you look at the other search engines here, Perplexity, you can see Hawen Hughes comes right up. Okay, perplexity really is more like an AI aggregation, which is interesting because when we get into part three of what's changed with the Google AI mode, we're going to learn that Google is basically going—going to—going after a perplexity killer. They're basically going to give you customized AI aggregation functions. Now, their whole engine is changing to that. Point here is that you can see that beige frames. Notice that there's no brand query in this. So this is all part and parcel with the science of the optimization that Jimmy Kelly and other team members at Hosen Hughes did when we optimized this account. Okay. So this is all remnant. So in other words, perplexity is borrowing the results from the search engines that we did um early on. Okay. And let's go over to Grock and see if we see anything different. We'll probably have to re—Looks like the browsers will not stick in Grock. So there—these—that means I'm have to pull them uniquely for you. And what Grock does is quite a bit different. It does bring up Hosen Hughes. So it's—this is actually remembering what I did before. Okay. Based on your previous interest in Hosen Hughes picture inquiries, here are top. So, it hasn't forgotten what I searched for. So, that's a little bit misleading, but it pulled up mostly the same thing in Grock, but this is Elon Musk's company connected to X or formerly Twitter. Um, this is quite a bit similar to what it was. All right. Then, if we go over to Gemini, we're going to see something similar. It does bring up Hosen Hughes right away when I ask that. And notice there is no mention of Hosen Hughes in the query. That again is part and parcel with the work that was already done. Okay. Chat GPT may or may not bring it up. It's also going to crawl the web and it does. There's no mention of the brand here. And yet, because of the work that Jimmy did early on with Yuri and other team members there as we worked on this contract, you can see now that they really are well known for oak frames and beige oak frames and the rest. And all the engines are—the ambient engines are going to do that. Claude, I'm not sure. Let me just double check. Yeah. Um, specialty Hosen Hughes comes up for this one. So, my point here, guys, is that they're pulling up the general hierarchy of the order of what's um going on on Google, which is the point. If we go back to Google and we hit AI mode again, just getting used to everything, guys. We know—we know we're in the product or e-commerce genre. We're going to go right here to AI mode. And the AI mode, okay, it's pulling from my proxy. Okay. and you should be able to find. Notice how it went local in this one, which I find interesting. So, it's treating this as a local search, which I did not expect. It's trying to get me maps. If I had said online, it would be quite a bit different. Okay, so that is interesting. And this speaks to what Jimmy talks about as local—a local SEO. Okay, let's go ahead and see what happens when you add the word online. So, if you add the word online, then Hosen Hughes comes up, which is our client. Okay. And there it is pretty much at the top. Okay. So, that speaks to the work done because there's no brand inside the actual query on the AI engine itself. All right. So, we're going to move on to the next one. I'm going to show you guys—you only have to do this once, meaning I'm not going to be inundating you with a lot of these, but I just wanted to answer a lot of the questions that I get about the different types of engines. Okay? Now, let's go over to the next one. And that is going to be right here. Let's go ahead and take a look at Copilot. Where's the best place to get beige oak frames? Okay, it does mention it here, and of course in the equivalent of the Google AI mode, it does show. What I find interesting is that we did not come up in the recommendation for the general AI equivalent of Google's AI mode. Okay, good to know. All right, here's another one. This is a direct correlation that I'd like you to be thinking about, and I'm going to go ahead and research it now that I've set my proxy correctly. Is Hosen Hughes a reputable company? Whether Hosen Hughes is a reputable company frames depends on your definition of priorities. Notice how diplomatic that was. You can see that the client is right here. Okay? And um there's a lot of review sites. Overall, Hawen appears to be a company with mixed reputation. This is what I'm saying when we're talking about AI verdict and reputation. The AI is acting as a verdict delivery system. It's almost like a judge and a jury and a reputation influencer all in one because it's just going to think about how—summary too long, didn't read, right? Think about how summaries are now dominant and that's the primary use of AI even for Sam Altman and other people. With that in mind, it's important to remember that this is an assessment that it's made. It's basically saying, "In my opinion, Hosen Hughes appears to have mixed reputation because of the way," okay, it tried to be diplomatic here, but it brought up some negative impacts. Okay? Now, think about this, guys. This is like reputation 2.0. Okay? And so, just hold that in your mind. This—it tries to be diplomatic here, but then it finally gives you, "Hey, it's kind of mixed. They have many satisfied customers but the customers but there's lots of complaints too or some complaints too." Okay. Yes, Hosen is a reput—a reputable frames company and you can see at this point it brings up the frames itself. Hosen is generally regarded as a reputable company for frames, wall and art. The reason I'm showing you this is—again, this is an opinion. This is a verdict. We're talking about the new verdict or AI verdict economy because it's an—they're acting as influencers. Notice how Perplexity was more lenient than Google was. All right. How about Grock? Let's see what Grock says when we start asking for its opinion. And of course with Grock, we've just learned that Grock—Grock will not hold the browser for us. Let's go see what—Let's see what verdict Grock is going to deliver about whether or not Hosen Hughes is a reputable frames company. Hosen Hughes's company specializing in gallery art. Okay. Um, I found that the first principles functions that Grock was created by—which is different than OpenAI—is a little bit different. It gives—it's very diplomatic. It gives both positive and negative, but it doesn't provide. Here's the overall legitimate company with strong presence in the art and frame market operating in Miami's Winwood Arts District, and I've been right there at the office. They have garnered positive feedback. Okay. However, there it is pointing about some negatives. So, there's the verdict. This is a verdict. It's mixed reviews, shipping days, and so it's bringing up their few. And notice that perplexity is really gone for the Trustpilot ratings. Okay. Um, operational hiccups. Hosen Hughes can be considered reputable for those prioritizing style and variety. Okay. So it's very, very diplomatic compared to some of the other things that I've seen. Let's go over to Gemini and see if Gemini is equally as diplomatic or if it's going to deliver a negative verdict on the brand even though the brand is overall outstanding in my opinion. Austin Hughes appears to be a generally reputable company for frames, particularly for their aesthetic affordability. Positives, negatives, where they are sold. So, here's what's interesting. I'm finding that Google is being more—It makes you wonder that if somebody's buying large amounts of advertising, which they are for Google, if Google is going to be more lenient. I'm just telling you right now that we're starting to research that stuff because it's likely that biased data will be contained within the conversational AI. It's worth being aware of occasional feedback quality. So, they are still going to call out the couple of bad reviews that they've had here and there, which every brand does. But if you go to Chat GPT, Chat GPT starts um showing the strengths and the considerations. Okay, so I find that interesting. It doesn't really get too much. It gives you the strengths, customer feedback. Yes. But check this out. This is what I want you to see here. This is an influencer, a positive influencer. Think about this. Unlike the ones that you just saw, it says, "Yes, Hosen Hughes is generally regarded as a reputable company." We didn't get that kind of luck on all the other engines, did we? So Chat GPT is reasoning differently about it and trying to be not only diplomatic but uplifting. If we go to Claude, Claude's going to have a different type
Of setting. They're saying that Quad is uh, sorry, that Hosen Hughes is a legitimate company specializing in gallery.
Okay, here's what I found about the reputation. Hosen TV's products are sold through major retailers. Then it gives the review. However, I should note the search results don't provide detailed customer support. This is very interesting. Claude, who is under the guise of blackbox, something called constitutional AI, um, is very diplomatic and won't really default to its reviews. It's very distrustful of the reviews around this question, which I think is actually a good thing. That's how I think it should be. But that's not what most of the engines are doing.
Okay, let's go over to Bing. See if Bing was active on this one or if we never got that. Guess I never did Bing on this one. So, what we'll do, we'll go ahead and do this live. Let me show you how I'm doing this because some of you have asked. Okay, we go here. I'm going to—That's just the AI search. Not—not the same as Copilot; similar, but not the same. This would be the equivalent of like Google AI mode. Hawen Hughes has received mixed customer reviews. Okay, they're also doing the positive and negative. Okay, Austin Hughes appears to be, as with any of the realists, wise for customers. So they try to be diplomatic, but they're going from Trustpilot and a few other things. Okay.
And if we do the same thing, let's go ahead and go back and we'll do that same query. This time we'll do it in Copilot. Copilot's quite a bit different. Moderately—look at this. This actually gives you moderately and breaks it down very clearly regarding its reputation. What's interesting here is they still show—this is what's crazy—there's the Austin Hughes is buying ads from them or Amazon's buying ads from them. Oh, that would explain it. Amazon's buying ads because when Jimmy and I activated this system, we triggered ads for Amazon, but now Microsoft is showing them here while at the same time giving them a moderate review. Okay, so it doesn't look like there's any bias in there because Amazon's the one purchasing those ads for the brands. It's one of the things Amazon does with these billion-dollar contracts with the different uh, platforms. But this is very interesting where they actually just come out and say, "But do you guys see where I'm actually coming from?" Saying, "Hey, this is a verdict. It's a judge and a juror, okay? And—and an influencer and a product influencer all at the same time."
All right, let's try another one. Um, actually, did we go back? Let's go back to Google and let's hit AI mode. Is Hosen Hughes a reputable reputable frames company? Generally considered—here's an interesting thing—yes, Hosen is considered a reputable company for frames. Keep in mind that Hawen spends a ton of money on pay-per-click ads for Google. You know, maybe there's a connection, maybe there's not, but you know, we've been in SEO for a while. There's usually a relationship between keeping advertisers and their reputation, but it's hard to say. Just trying to bring you the attention of the things that we're looking for in researching. Okay. Excellent. We'll do a few more of these. I don't need to be exhaustive, but I just need you guys to understand how we're looking at this and what an answer engine is, what an AI engine is, and the global scene is the insight engine when everything is put together.
Okay. All right. Let's go back to—can I trust Hosen Hughes with my frame order? Check this one out. Yes, Hosen Hughes appears to be a reliable retailer. I'm asking specifically about the frame order. Okay. And there it is. Hawen Hughes. That's Canada. Let's go ahead and refresh this now that I'm in the correct proxy area. So, even when I change the correct country, we're getting it just fine. Read the customer service. Okay, it's going to pull from these. But notice that in terms of the verdict that this AI agent has laid down, acting as judge and juror and influencer and product influencer, is saying yes, Hughes appears to be a reliable company. Okay. Boom boom boom. It's drawing from these. Also keeping in mind, guys, not that I'm being cynical, but Hosen Hughes is paying tens of thousands of dollars in—in ad—in pay-per-click. Okay. Um, I know they are on Amazon. I'm not sure what their ad spend right now is on Google, so I don't want to automatically assume bias, but it is interesting that we get yes, Hosen Hughes is reputable. And then the other one is kind of like, oh, you're moderate or mediocre. Okay, so it's just kind of interesting. Let's go ahead and see what Perplexity has to say about that. Can you trust Hosen Hughes with the frame order? Perplexity, which is doesn't have any ad revenue interest, is saying has a strong presence, strong on Walmart. Let's see what the conclusion is. Hosen is a reputable seller, positive customer experience, particularly on Etsy. Most buyers report satisfying frame orders, so on and so forth. Okay. And then what Perplexity will do is break down the negatives into separate questions. Okay.
And Grock, we're going to have to punch again because Elon Musk has decided that the page should expire at the server. Let's go ahead and hit that. It's a direct trust question. It has mixed reviews regarding frame order reliability. Okay, notice how it went directly into mixed reviews. Okay, that is a verdict, and a pretty strong one. It's biased away from goodness. It's just average or less; notable concerns. Look at this. So, you got Google that's getting ad revenue saying yes, it's reputable. And you got—saying maybe okay, generally a good service. Generally a good service. That's a verdict. There's a risk of delay and errors. And this, guys, what I'm saying is that the biases that AI bots are having are very similar to human biases. There's very few overall negative reviews compared to the positive ones. So that whole algorithm of negative reviews outweighing huge amounts of positive ones, Grock is still displaying that type of a bias.
Okay, let's go ahead and go into Gemini now and see what Gemini said. Based on reviews, generally positive feedback for their frames, but there are some recurring concerns. So it's interesting that Gemini and Google AI mode often give different biased results when it comes to laying down an AI verdict as an influencer. Okay, let's look at the conclusion. Is a legitimate company with a decent reputation, particularly for their print frames. Okay, let's see what ChatGPT says about that same—that's a direct reputation question, judge. Hmm, yes. What I find interesting about this is the way that ChatGPT, which is—we're designing a reputation scoring system with the API—um, this generally tends to give the company the benefit of the doubt, and there—they don't have any bias or interest in doing that; they don't need to do that; it's just the way that it parses the data. They receive positive reviews highlighting the product, customer service, and they do still mention the negative here. Based on extensive customer feedback, it's a reputable choice. See how it gave it a positive? So, that's the verdict. It delivers a verdict. AI is biasing our culture and our people using it. So, it's important for you to realize that—um, what I'm really—the point I'm really trying to make with you guys is that AI is becoming a third element and changing the entire—it's no longer about search. It's about persuasion, and I do recommend that you read Cialdini's *Influence*. We're going to be talking about this more. Choice architecture is now biased by AI rather than the end user first. Okay, we're being persuaded by this information. Let's see what—can I trust with my frame order? So, what I find interesting is in this case, Claude did do a lot of searches, tried to fetch from Trustpilot, wasn't really able to. And then it just tried to do—potential concerns. This is the first time that I've seen—um, Quad actually deliver a verdict that was slightly negative. Okay. What to consider. All right. But it was like some sources note some minor, trivial thing, but it's generally trustworthy. Not a huge positive; like definitely is like non-enthusiastic. It's like, okay. Then, of course, if you go over to Bing, you're going to see some of the similar things—mixed reviews. Thanks a lot, Bing. Thanks for nothing. You know, in other words, maybe that's what they see based on whatever data. So it's always about the retrieval augmented search, guys—mixed reputation—thanks for nothing. Okay, so both Copilot and their own AI search engine—it's just kind of meh; your Trustpilot reviews are just meh. So it's doing an aggregate scoring.
Okay, here's a new one. Should I buy a picture frame from Hughes? Okay. Not sure what I did with the Google. Let's go ahead and get this one, and we're going to do that same question in Google because I've obviously lost the page. Check this out. I wanted you to see this one. Can—whoops, that's not the correct—I'm sorry. Yes, Austin is generally considered reputable. I think that's really amazing. It's so different. Should I buy a picture frame? This is a direct request. Like if—if you're defaulting your decision to somebody else, like just pure abdication, which people are already starting to do. This is where it gets interesting. Should I even buy a picture frame from Hosk? Check this out. There's the verdict. Boom. Yes, you should buy it. Oh, okay. If you stopped right there, consider what just happened. I was in an uncertain state of mind, cognitive dissonance. I ask a question. Should I even, you know, maybe, should I buy a frame picture? No details, not about it. No deeper prompts, questions, or Socratic breakdowns of the products or services. It's just should I even buy it? The answer is yes, you should buy it. I would say should I buy something is probably the new best and fastest and all the adjectives we used in the mid-2000s in search. Yes, buying the picture frame is generally a good idea, especially for gallery. Okay. And then here they are ranked right here. It's considering goods, probably pulling the Amazon reviews, which is overall good. But let's see in contrast with that same question. Keeping in mind—keeping in mind how positive Google was—and use picture frame are popular choices for seeking. Okay, let's go down to the—receives positive feedback. See how different this is. Okay. So, it's just—it's positive feedback, but it's not like saying yes, you should buy it. It's fairly remarkable to note that Google just said yes, you should buy it. Okay. And we're going to come back to that. Let's go ahead and redo Grock here. This is worth noting. Let's see what Grock says. [Music] I love how—depends on your specific needs. It will not tell you to buy it. It just gives you the pros and cons because Elon Musk designed this—um, system with his AI developers with something called first principles. It wants you to back-engineer the reason that you want it. And that's actually quite interesting. It's still again saying it's a reliable choice. How about Gemini? Remember what Google—the normal engine or the AI experiment—gave—this was Gemini directly—is much more diplomatic and—um—logical about it. Doesn't say yes, you should buy it. See this—see how it gives it really less—it's less—it's definitely not a yes, you should go buy it right now like we had right here. Yes. Okay, I find that very interesting. Let's go ahead and look and see what Grock said, I'm sorry, Claude. Did we already look at that? Yeah. Let's see. No, nothing like—it's not saying, you know, not grabbing you by the hair and pounding your face against the screen and saying, you know, go buy this.
All right, let's see what ChatGPT did. Pros, host. It's a solid choice. There you go. That's a verdict. Boom. That purchase is a solid choice. Okay, that's an opinion. Imagine a customer looking for something and they're told it's a solid choice. Okay? Or they're told yes. Should I? When you ask, should I buy a picture frame from Austin Hughes? Yes, you should. Think about that, guys. Now, we're going to try something in AI mode. We're going to go here. This is different than the Google experiments. And here it's a little less yes, you should. It's saying—when—here's the things that you should consider. And check this out. It just told you on the other engine that you should do it, but now it said it's a mixed bag. Okay. Isn't that interesting? They are a mixed bag in terms of quality when you just told me back here that I should—purchasing when seeking a minimalist, visually appealing look. Okay, so you're getting—we're getting a mixed bag here, and we'll close this by looking at—first we'll go to—these are generally received positive reviews. Okay. And this one is a mixed bag. All right. So, these are the verdicts coming from different companies. I'm going to go ahead and try one more with you before we end this, but I think I—I'm not trying to be exhaustive, guys, but it's important for you to see this. I thought this was a really good and intriguing question. Should I buy Hosen Hughes picture frames on Amazon or directly? Buying Amazon picture frames directly through their website may offer the best experience. That is the advice that most people are going to use. Okay, just that first sentence. Okay, now let's see if they say the same thing in AI mode. Based on information, here's a comparison of buying Hosen's picture frames on Amazon versus directly from their website. Okay, pros. Notice how it mentions Amazon first. Okay, recommendation if you value. So, this one is really not saying, "Hey, you probably want to buy it from their website." So, I noticed that the AI experiment on Google is much more direct, okay? And much more persuasive, much more telling you what to do. What does Perplexity do with that? Very diplomatic. It's recommending—it's kind of framing it in choice architecture. It's even saying through a retailer like Target, it's the advantage of quality assurance. Okay, so they're telling you to go right through. They're saying neither. Buy it. Buy it directly from Target. Okay, so that's a completely different, unexpected answer. What's Grock going to do besides break our chain? Let's see here. Let's see what Grock says from first principles. Deciding whether to purchase Hosen and Hughes. Okay, it'll probably be very diplomatic. It depends. The answer is it depends. Return policy, cons, quality concerns, price variability, pros. It's just working backwards from—hey, why are you asking me? You should think about these things—giving a lot of information. I find it interesting that Grock, using first principles, when you ask a direct question like that, goes out and does a multi-step reasoning process, which is much more—quite a bit more tokens. Let's see what Gemini—there you go. When deciding to buy Hosen and Hughes, consider the following factors. Same thing, just being diplomatic. Here's the sources. It's using Amazon. Okay. And we'll do one more. ChatGPT. Website through Amazon. Consider the factors. It'll do a breakdown as well. Considerations, product recommendations. Notice how it put product recommendations right in the ChatGPT. Okay.
So, what we're figuring out now is what the impressions are going to look like server-side because Google's not telling us much about what it's—how it knows about the click-through rate and the—the longer time on site coming directly from an answer engine like Google mode, AI mode, or Google experiments. Um, so they're not telling us a whole bunch about that, but for a wider range of support. Okay, but it is saying it depends. But I find it very interesting that that ChatGPT gives actual product in that same context. Okay, this is where Andy Green and other people in our community are talking about monetization is going to happen in these answer engines for sure. What does Claude say about that particular question? In this one, it's giving the same question. You can also find other items. Let's go over to Bing. Deciding whether to buy depends on the factors. It's just giving a generalized response. Okay. So, my main point to you here is notice how Google was far more persuasive. And that's interesting that Copilot says that both options have their advantages. Might give you access to exclusive deals, wider selection. Another here, Amazon could offer free shipping. That's really all that it's saying. Okay, very straightforward response. And you can even notice that this is something I'll be teaching you guys about as soon as we know more. You can edit responses, and that response will go back to the database. It's—I think it's a little bit more advant—more advanced than like a thumbs up or thumbs down and testing the AI systems. Okay, so that is a general overview. We did not go through everything. There were a few other questions that I answered, but the main thing I want you guys to understand is that Google's—let me close this part two section with the fact that these ambient search engines—we weren't sure who was going to win the answer engine war. And then Google came out. A lot of these systems—Claude, Chia, Grock—they're just parsing and crawling the 10,000-pound gorilla, which is still Google, who started the whole search industry 1.0 to entities to search engines, entities. So now it's moving to insight engines, which is AI mode, interacting with several other websites. But notice that the layer of your website and your domain authority prominence is still underneath all of that, especially reviews, which are blowing up. And that's why I've been kind of beating the drum for reviews for the last two years, including images on Quora and images going to other platforms. This is why we've given you EmbedMyReviews and other things. When we come back on part three, hopefully it's starting to make things clear, okay, for you guys, uh, what has been going on. So when we're giving you different software solutions, for example, you know, software including—including EmbedMyReviews—right, the reason is that these software programs allow you to take these reviews and put them on multiple platforms during the AI verdict where the AI is a judge, a juror, and an influencer and a product influencer all at the same time—all these—with these ambient search engines—things like including EmbedMyReviews and the other softwares that we're giving you—GrowthWorks, the Eureka Gain Score calculator—all of these are designed to take all of these search engines, all of these answer engines, and all these ambient intelligence engines, which are now pretty much verdict engines for your brand—negative or positive depending upon the random sequence of reasoning that each one has been biased towards. Well, if you've got your reviews everywhere and they're properly notated and they're in high-prominent sites in the deeper layers underneath the reasoning functions and they're properly schema-marked, and even when they're not schema-marked in higher prominent sites, the AI engines are going to make biased decisions just like humans do. And we want to bias that weight towards the brand. Okay? That's why we're giving you software like this that instead of just having one platform like Google, we want you to take these off of Google, these im—and turn them into an image, which I'll talk about in the next video. And that's why we give you more than one platform. Okay? You're really going to want to start focusing on more than just one platform because the AI search engines are going to consider all of them, especially on the first page, what Daryl and I call the search method where you can roadblock all of the entire first page on Google because as that—beca—as that page begins to get fewer and fewer clicks, the search engine result page for the keyword—and we move into thousands of keywords and long-form queries as we showed you before, sometimes entire paragraphs worth of prompts—Google will be used in the future, and we'll come back—we'll talk about this for conversational AI just like ChatGPT and Claude where you can put gigantic prompts—possibly even an entire page. You think about Google; it already has a million-token window okay in Gemini. So this is important; we're going to be talking about these in the upcoming videos, but I wanted to make sure I did some sort of quick and dirty exhaustive overview for you so that you know what we're looking at and remind you that the software that we've given you is really designed to help you take these artifacts and instead of doing traditional SEO with link building and banging the door of traffic, all of those still can be used, but they have to be used in understanding of how they all connect into the answer engines that I've just shown you during this talk.
All right, I know this was a long one, but hey, you should at least look at these once, these search engines, and when we come back, we're going to proceed down our conversation. We're going to get back on to—u—the topic. Google says, "From now on, we will act as your AI agent for everything you will ever need or even be curious about." It's called the Just Ask program. And I want to talk to you about the psychological impacts of this on you, on your clients, ultimately on our children and humanity, of course, but more importantly, how you can be the voice of reason and the best thing that ever happened to your—
Clients, whether they're local Google Business Profile clients and/or even national e-commerce clients like the Hosen Hughes client that I showed you as an example.
A lot of the work that we did for Hosen Hughes was prior to the answer engines, and again, learning the biases of these engines. Regardless of the verdict they're delivering about your brand—up or down, thumbs up, thumbs down—we can see that the images and brand notoriety around certain terms that we optimized on the deeper search engines are still being brought up in all of the ambient answer engines that we've showed, at least most of the time, even with query and reputation queries and questions. So that is very, very interesting.
Again, it speaks to the fact that traditional AI and schema—cont… uh… traditional SEO practices, which is um on-page and off-page, particularly focused on the keywords and information that's useful to the customers and clients—will help you get ranked inside of the answer engines.
When we come back, we're going to talk a whole lot more about that. Thank you.