Future-Proofing Your Content for AI Search & Generative Engines

Diversifying Your Digital Presence for AI Search Optimization

Stephen: Muse is often pulling a lot of stale data. CNN cited that, they asked Muse for some date night ideas, and it listed certain restaurants that had been closed down for two years. Muse is a really interesting opportunity with a lot of low hanging fruit because it's just citing whatever it can. It does search the open web. However, it's proven to not necessarily have as large of a knowledge base as some of the others. What it does have is Facebook and Instagram and threads. However, if you have your useful question answering, real human, not AI generated, very unique and original content on Instagram that is answering the exact questions that it's looking for answers to, then it's able to pull from its own system more easily than it's able to pull from outside systems. Our strategy of answering these questions and publishing the answers with real human generated content that's very obviously not an advertisement organically on Instagram is, I believe, one that's going to prevail as Muse gets more and more popular, and I believe that we're gonna have a lot of people copying us in that specific area.

Stephen: The other important aspect of this is that ad spend can't buy its way into Muse. AI agents aren't sitting there watching ads. And so while people may be skewed in their opinion of products or services by ads, Muse isn't doing that. Muse is going out and searching for actual real sources that are published on the Internet and not just the ads that, that get shown either on its own platforms or elsewhere. I think that's why it's it's really important for business owners to show up in those answers. The next question is, does Muse pull its answers from Instagram, Facebook, and threads more than the rest of the web? I would say that is unconfirmed because a lot of things about Muse are unconfirmed. What we do know is the track record. Gemini pulls a lot from YouTube. Copilot pulls specifically from some of the more Bing friendly spaces.

Stephen: They do a really good job of pulling from a lot of sources, but every platform has its own library of content that it doesn't even have to search anywhere else for, and then it has the whole rest of the web. And so there's usually a mixture. And while Muse definitely does pull information from the web, just like when you start using a new feature on Instagram that it's really heavily pushing and even putting ads on its own platforms towards, it oftentimes rewards you. I would venture to say it's a very safe bet that using Instagram and Facebook more to organically answer people's questions and not make the system work as hard is going to be a winning bet. It's the same reason why when we make the information on your website so easy and clear for AI to understand, it usually will get picked up and cited more.

Stephen: Because when you don't force an AI agent or an LLM to go out and parse through a bunch of information, you just put the cookies on the lowest shelf for them, it generally is going to understand it more easily, and it's going to be able to verify it more easily. You need to be able to create more truth signals in other areas as well, which is why it's still important to publish similar information that is going to corroborate the same ideas on your website, on other platforms as well. However, I do believe and I do believe that I do believe that it will be the case, and I think that there's really great data to think that the prediction of Muse citing its own sources of Instagram and Facebook and threads will likely be a very good opportunity. Because if it is searching in its own library first and you're the only answer in its own library, then when it goes out to external sources, like the web and and different indexes and whatnot, then it'll already have an idea in its head that it needs to now just verify, where everyone else is going to seed an idea for it to verify and then go through the whole verification process.

Stephen: You're just making the whole process easier for them, and what that's doing is it's making it cheaper and easier for the process to run.

As we all know, LLMs are very expensive, and AI agents are very expensive to run on the supplier side of them. And so, yeah, it's just good business. It's been proven time and time again that Facebook will reward you for using its platform more, and they wanna keep as many things inside of their platforms as they can. Moving on to the next question here, how do I get my business recommended by Muse? Again, this is going to be a really similar question to when people were asking, how do I get my business recommended by ChatGPT or Claude? Showing up in AI search has a very large list of requirements, and it is slightly different for each LLM and each, AI agent.

Stephen: That, Instagram as an anchor or Facebook or threads even as an anchor is a great a great place to start, but it will source reviews. It will source other platforms. It will source other indexes. Thinking about it as a meta first product that you're using and serving that meta first product with a meta first answer is, I think, going to be a very winning opportunity that not many people are capitalizing on. The reason being is because for most people, that's a very inefficient process. For us, we've made it very simple, and we've made it so you can put that content out organically onto Instagram and Facebook without you taking, an inordinate amount of your time. And it's going to be optimized for the exact questions with keywords, with queries, with captions, with cuts, with captions, closed captions on screen so that Instagram, Facebook, Threads, Meta overall can all read it and understand it much more easily. This is not a theoretical big answer that it's going to be chopping out and putting up on Instagram that AI is going to have a hard time to understand, these are very simple, straightforward answers similar to what I'm doing right now.

Stephen: And so if the AI agent can get that answer more directly and more clearly, then it can answer that question for the user more quickly, which means it has to work less. Your customers are happier. It's making everyone happier, and it's keeping everyone using Meta owned platforms more. I think that the answer to that is you need to have you need to have information that answers the question on the web and on other platforms, and I think that you're gonna have a leg up on the pile if you have those same answers or similar answers also on your Instagram, Facebook, or Threads. We don't know which one it's pulling from most yet. However, if you're thinking that written content is easier to read, think again because, Instagram, YouTube, TikTok, they're all already putting transcripts of the videos and transcribing and then reading the videos, just like it would text anyways.

Stephen: That's not a worry here. Moving on to the next question. What should a business post on Instagram if it wants Muse to recommend it? I think that's a really direct question that goes back to how we similarly answered the question before of what expert content is getting cited by AI search in general. The way that these AI agents and LLMs are working is, when you ask it a question, it's going out, and it's searching for that question as well as what's called a fan out of other questions. And it's going and searching all of those questions all at the same time and then finding the answers and making a blended answer of what it thinks is the best based on that. The reason being for this is a handful of different things. One, you might not have necessarily asked the right question for what you're looking to get out of it, and it's trying to ascertain not just the answer to your question directly, but, the answer to the question that you may be meant to ask.

Stephen: It's also doing that so that it can get a better understanding of the landscape of what you're asking for. And so answering the direct question, but then answering it in a way that is going to answer all the ancillary questions, all the fan out questions as well is proven to be a very winning method that we've used in a lot of our clients, and is now a core part of our software and how it is optimizing the content.

The short answer to how do I or I guess the short answer to what specific content should my business be posting on Instagram if it wants Muse to recommend it is you should be answering the questions that your customers are asking, and you should be doing it from an expert, unique, contextual human point of view. You should be getting on camera using real, regular, natural language conversational speech and talking about not only the direct answer to the question, but experiences that you've had in that circumstance, maybe, things that people often forget or red flags or things that you wanna bring up to people when they ask you this question.

Stephen: Because if you're a business owner or you're a professional in your field, you've probably heard most of the questions that your customers are asking a thousand times. And you probably have a lot of examples of the different ways that the answer to that or even the usage of your service has played out when people are asking those questions. You're gonna answer those real questions. You're gonna optimize them in the ways that, AI search can read the most easily, and you're going to make sure that you hit the specifics of whether it's your specific service, your specific product, your location, the area that you service, whatever it is, you're gonna be as specific as possible, and you're gonna be a real human on camera sharing your expertise and your experiences because that's what's going to separate you from AI generated content. And that leads perfectly into the next question, which is, can AI generated content get my brand cited in muse, or does it need to be real humans on camera?

Stephen: So this is an interesting one because almost no LLM or even search engine now says that AI generated content will be penalized. However, time and time again, whether you just search for it on Reddit, you search for it on the Internet, you search for it on even different social media platforms, you'll find SEO and AEO or GEO professionals telling you that they have experience with, websites that have a lot of AI generated SEO or GEO targeted content doing really, really well for a very short period of time and then plumbing. And a lot of those websites they'll get not only penalized, but when they remove all the AI generated content, they'll never bounce back. And this is mostly in regards to Google because they put a lot of the statistics out there. And whether it's Google Search Console or Analytics or anything like that, you can track the history of it very easily comparatively to some of these other platforms.

Stephen: What they say in their white papers are that, they are prioritizing noncommodity content, and they define that as unique experiential expert, real life, content that cannot be commodified. It cannot be regurgitated. It's not a list of the 10 best. It's not a simple verbatim factual answer. It's how does this play out in real life? Because AI not only needs to find an answer, it needs to verify the answer. And on top of that, another layer is that Meta has spent years trying to make sure that it has the ability to filter AI content. Meta is even filtering AI generated content and putting tags on content if you used Canva to remove the background on an image and didn't re, reexport the image or change some of the actual structure of the file that takes out that tag of AI generated content. Meta is being so careful about not having its entire system be flooded with AI generated content that it has no way to tell the difference between.

The Imperative of Human-Generated, Experiential Content

Stephen: And if they're gonna spend that much money filtering out AI generated content and they know exactly which content is AI and which is human, then I believe that they're probably going to do what every single other AI platform and LLM is doing, which is prioritizing noncommodity, real expert, contextual, experiential answers from real people. And so if you're using AI generated content on social media in general, whether it's TikTok, Instagram, Facebook, threads, x, etcetera, I would heavily recommend that you stop. However, specifically for the case of optimizing for Muse, Meta knows, and it doesn't wanna pull AI slop because that will make this huge adoption rate of Muse plummet and fall off. And so, if you wanna last in the long run and get recommended by Muse, I would recommend that you give actual useful content with real humans in it, real people.

Stephen: This is an interesting one. It's that Muse keeps recommending my competitor instead of me, how do I fix this? Again, it's the same question people are asking about ChatGPT. We now have, I believe, every single one of our clients as essentially the top recommended, company in their field when you ask for any of their top products or any of their most, important products or services to them. I'm gonna make another video that live shows you when you ask ChatGPT for specific products and videos or products and services in areas or the highest, most important products that our clients are offering and that we're optimizing for. And you'll see we're getting them recommended as the number one either provider of a service or a product. I believe that through that, through our success of getting every single one of our clients to the top recommended currently, I can speak on this with a great deal of experience and expertise.

Stephen: We run thousands of queries searching on, on ChatGPT, Perplexity, Claude, Gemini, Copilot, and Grok every single week for our clients.

And we're doing this so that we can get all of the results back. This is not just a, oh, we're doing a gut check, and we're pulling up ChatGPT and asking, hey. Where do I get a blank in this area? And our clients are popping up. No. We're running thousands of them and making sure that it's not just popping up for the questions that we ask. It's popping up for all the different ways you could answer the question or ask the question. It's popping up when you search it in different places. It's popping up when you ask about something that is maybe even just only related, but what the question could be is that they're looking for the product or service.

Stephen: We're very thorough in this. If Muse keeps recommending your competitor instead of you and you wanna fix that, then I would go back through the rest of these questions and really, really hone in on what your customers are asking when they're looking for your product or service, and then go forward with all of the answers to these questions. To summarize that, if you wanna get your business recommended on views because your competitor is currently being recommended, look at what they're doing, see what questions they're asking, see if they're on Instagram threads and Facebook. If they're not, you've got a massive opportunity in front of you. Get on the camera and answer the questions that you probably answer on the phone every single day or have been getting asked for every single year that you've been in business or that you've been, offering this product or service.

Stephen: Get on camera and talk about how those questions play out in real life.

If this is, an HVAC company that is offering emergency service in the heat of summer, then, go through some examples of specifically, when you've gotten calls in certain areas or what's happened or how quickly you solved them. Go through case studies. Be succinct. ? Be a few minutes for each answer. However, fully answer the answer. Fully answer the questions that your customers are asking and put those real videos up on Instagram, YouTube, and threads, and then put the content from that up everywhere else too. Put it up on YouTube. Put it up on TikTok. Take the transcripts. Put them up on your website. Structure them how, AI can read them more easily, or you could essentially just use attract to buy marketing, and we'll do all for you.

Stephen: But if you wanted to do that yourself, you really could, and it's a real opportunity for small businesses, especially right now. Going on to the eighth and final question here, how do I track whether Muse is recommending my business? This is a difficult one right now. We do track website traffic. We track, the sources of where your traffic is coming from. There's other services that also track where your web traffic is coming from. But I would say the first step would be talking to a professional and finding a finding a software that can track it.

Optimizing Video Content for Generative Engine Visibility

Stephen: If that's something you're specifically interested in, I would say talk to us because we do have a very in-depth and proprietary tracking software that combines with a lot of different, proprietary sources as well as third party sources to, make sure that the data is verified. However, again, I believe that we're the only software that's consistently posting AEO and GEO content with real human, real people video content onto, meta platforms and combining that with the other, trust signals that are all across the web. I could be wrong in that. If you guys know of another one that is an actual competitor in that way, then please let me know. But, every single time I go to one of these conferences and I talk to all the other guys at these other, huge software companies that are offering AEO and GEO services, when I ask them the questions about whether any of their content is AI generated, what they're doing about, video content, what they're doing about specifically how, YouTube and, Instagram and TikTok are now being heavily cited in AI search, specifically YouTube and Gemini, and what I would presume is going to be, Instagram and Facebook for Muse as well as, some other combinations, they don't really know what to, what to answer to that.

Stephen: ?

They use AI generated content, most of them. They're not doing, really anything in a systematic, repeatable, or tracked way for video content, and that's really that's the crux of what we do. We do that alongside the written content, alongside the structured content, alongside all the more technical details of how that content needs to be distributed and published on the Internet. However, I don't know a single other company that is doing that and doing it in an efficient way that doesn't require very much from the actual client themself. We require about two hours from our client every single month, and it gets them organic social media posts that are specifically optimized to target the questions that their customers are asking, and we put those out on Instagram, TikTok, and YouTube, in long form as well as in short form, which is a very important aspect.

Why AI Content Falls Short in the Long Run

Stephen: We also put that out in structured pages on the client's website that are easy to read, and they're going out frequently and consistently. We've had amazing results for our clients in doing this exact process, but, I'm curious to see, some of your thoughts on things, if you have any things that you disagree with or if of any other companies that are doing that at scale, then I'm I'd be curious to hear about them. But as of right now, I think our our best data that we have to go off of from the track record of other meta product rollouts is that they are likely going to prioritize, information and content and usage that stays on a meta platform rather than going external to it, and then they will, prioritize correctly downward from there.

If you are interested in GEO or AEO, AI visibility, or AI SEO, specifically as it regards to Muse by Meta, then please reach out to us.

Stephen: I don't believe that there's a better company out there that's set up to do so. If they are, they're probably scrambling right now, whereas we've been doing this for the past year and a half. Thank you for watching today, and, hopefully, we'll be on next time, and I'll be able to answer some of your other questions. Thanks. Bye.

Comparison at a glance

Factor	Meta Muse	ChatGPT / Gemini / Copilot
Format	AI agent that carries out tasks, not a chatbot	Primarily chat and research, with growing agent functions
Native content library	Facebook, Instagram, Threads	Gemini leans on YouTube; Copilot leans on Bing-friendly spaces
Data freshness	Often stale; CNN got restaurants closed two years	Gemini pulls from Google Business Profiles; ChatGPT from indexes and websites
Knowledge base size	Proven not as large as others	Larger, broader open-web coverage
Competitive difficulty	Low-hanging fruit, few businesses optimizing	Established, more competition

Factor	AI-Generated Content	Real Human Expert Video
Performance pattern	Does really well briefly, then plummets	Steady growth across platform shifts
Recovery after removal	Sites often never bounce back	Not applicable
Meta detection	Tagged even for Canva background removal	Passes as human, non-commodity
Google white paper fit	Commodity content, regurgitated lists	Unique experiential expert content
Verification by AI	Hard to verify	Easier to verify and corroborate

Factor	Meta Ad Spend	Organic Question-Answer Video
Visibility to Muse	None; AI agents do not watch ads	Searchable inside Meta's own library
Who it influences	Human opinion of products and services	The agent making the recommendation
Cost model	Ongoing spend per impression	About 2 hours of client time per month
Durability	Stops when budget stops	Published content keeps being cited

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