
AI was a futuristic concept many years ago, but those days are long gone. Today, people have access to numerous AI instruments that specialise in a given area. This allows them to be more creative, work more efficiently, complete tasks faster, and much more.
With that said, we at Nostrabet.com know that AI doesn’t “know” everything on its own. Instead, it relies on information online because the tools search among numerous sites to find what they need. Even though AI can check pretty much everything, there are certain sites that are more popular than others, and thanks to SEMrush, we are about to take a look at them.
Understanding where AI gets its facts from is also important for iGaming. It will allow you to know what to pay attention to, so let’s dive in and learn more about it.
How does AI Select and Cite Sources
People with more experience who use AI to find more information know that it does not look like a search engine. On the contrary, the LLMs are based on massive datasets containing all kinds of information. These things are called retrieval-augmented generating.
Depending on your question, the AI may show where it got its answer. If that is the case, you may notice that the LLM is using more information from some platforms than others. This is important for all industries, including online betting, because the bias, credibility, and freshness of the responses can affect the quality of the advice the AI will give.
Top 10 Most-Cited Sources in 2025 Used by AI Models
Although every AI model is slightly different, research shows that many of them use similar sources of information to answer people’s queries. The information you are about to read is accurate as of 2025, but since LLMs get better daily, things may change in the future. Let’s go through every option and see what makes it special.

Reddit – 40.1%
According to our information, Reddit is the go-to source for AI citations. The data shows that more than 40% of AI responses have information from this popular platform. Reddit is famous for providing unfiltered opinions, discussions, and niche expertise on various topics, including sports betting and online casinos.
Speaking of betting, a lot of people use Reddit to discuss match previews, statistical breakdowns, and odds value. While this can be a double-edged sword, thanks to the info, AI can surface emerging trends before they become mainstream. The downside is that user-generated content isn’t always accurate, so it is possible to have misinformation, biased advice and so on.
Wikipedia – 26.3%
Wikipedia has been one of the go-to sources of information for years. Known for its structured and collaboratively edited articles, it is an invaluable source of information for many things. This includes historical data, meanings of different festivals, rules of play, sports, and so on.
Since AI uses the information found there, bettors using LLMs can benefit from Wikipedia’s broad coverage. Even though the information update may lag behind live sports events, people researching past tournament results and learning more about a specific market’s rules can benefit from the information.
In addition to betting, Wikipedia is an excellent tool for all kinds of other information. Since close to 26.3% of the AI info comes from it, people save a lot of time when researching something.
YouTube – 23.5%
When it comes to videos, there is no better source than YouTube. The world’s second-most popular search engine has a key role for AI when it comes to video content. AI has the ability to use YouTube transcripts to pull relevant quotes or explanations, making it an excellent tool in many situations.
When it comes to online betting, YouTube helps AI with match analysis and tutorials. It allows different tools to provide pre-match tactical breakdowns, injury analysis, and fitness betting strategy tutorials. Those things are abundant on YouTube, so people can expect to find much information about them.
The only downside here is that YouTube is an open platform, and as such, anyone can post a video. This means that the video quality and accuracy will vary widely.
Google – 23.3%
Some of you may be surprised that AI uses answers from Google. Google is mainly a search engine. However, AI uses the company’s open properties, such as Google News, Google Scholar, Google Books, and more to provide users with different data.Since AI has access to those things, online betting fans can use it to reference bookmaker reviews, odds comparisons, and more. In some cases, people can even find fully-fledged betting guides. With that said, there is no need to use AI for those kinds of things when you have platforms like Nostrabet. After all, we specialise in providing professional and in-depth reviews of all sorts of iGaming platforms.
Yelp – 21%
Yelp is a popular platform for information, but betting is usually not among them. Once you dive deep into it, however, you will see that there are reviews for physical bookmakers, casinos, and poker rooms. All of those things help AI when it has to recommend specific places to people or when you ask it for more information.
As of mid-2025, AI cites Yelp in close to 21% of its responses. Depending on your question, you may get an answer that’s almost entirely based on it.
Facebook – 20%
Facebook is not the go-to place for information about iGaming. However, many posts, fan pages, and betting groups allow AI to access a rich data pool. The bad news is that viral posts and rumours could be misleading.
Amazon – 18.7%
One of the go-to sources for product reviews, Amazon is great when people want to find more details about something. With that said, it’s not a popular source of information for betting outside of the books on sports strategies.
TripAdvisor – 12.5%
TripAdvisor can be an excellent tool for AI when people look for certain places. In the case of iGaming, however, it is mostly helpful for insights about casino resorts and betting destinations.
Mapbox – 11.3%
Thanks to this source, AI can contextualise events, travel routes, and stadiums for sports bettors who want to visit specific games. The source is primarily useful for travel-related information.
OpenStreetMap – 11.3%
The situation here is the same as with MapBox. AI can use the open-source location data for event logistics, local betting venue mapping, and more.
What do These Stats Mean for AI’s Strengths and Weaknesses
The fact that AI models rely on Reddit has many advantages and disadvantages. While accessing real-world discussions and information is a big plus, LLMs are vulnerable to misinterpretation. Fortunately, Google and Wikipedia are also common sources that provide more structured, factual information. The only downside is that the information there may not always be up to date.
In terms of online betting, AI can be a handy tool, but bettors usually need to verify time-sensitive data. Due to how they work, some AI tools may not provide updated information on injuries, last-minute odds changes, weather conditions, etc.
Opportunities for Betting Brands
The fact that companies know what AI uses for its responses can give them a huge advantage. Instead of spending tons of resources on marketing channels that may not be efficient, brands can now focus on what’s important.
Online gambling operators wishing to maximise AI visibility must focus on different departments. Since Reddit is in the lead, they should publish match previews on the platform. Engaging in different discussions and sharing data-backed insights is also a good idea.
In addition, these brands will also have to start uploading YouTube videos. Using things like betting tips and educational videos can greatly increase a given business’s AI visibility.
Since Facebook is also a popular source, creating shareable infographics for different groups can also have solid results in the long run.
The future of AI in the iGaming Industry
It’s safe to say that AI will soon have a key role in the iGaming industry. Nowadays, only a handful of bettors use the different tools to their advantage, but things will change.
We expect to see a shift in the way AI sources its information. Instead of pulling information from Reddit and other platforms, some tools may partner with bookies’ official APIs. This will allow AI models to display official odds, player stats, and model analysis.
Conclusion
The 2025 AI source list analysis revealed an interesting mix of community-driven content, review-based platforms, and structured factual repositories. The advantages of those sources for online betting are that people can have both fresh insights and historical data. The downside is that it is possible to find biases and errors, so users have to double-check the important information.
Since AI will become a bigger part of the betting ecosystem, we expect to see changes in the future. Players will use AI to find more information about something and will then ask where the advice came from.
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