How to Check If 9 AI Search Engines Recommend Your Brand

Let's say you want to find out where your brand stands in the AI search engines. So you ask ChatGPT who the best is in your category. Then you ask Gemini, then AI Mode, then Perplexity, then Grok, then Claude. You put it into Google search for the AI overviews and you get a different answer for every single one and a different list of brands. Then you go through each one to extract and count up the brands, the number of mentions, Citations, sentiment, are you being recommended or not? Then you try to put together a plan for how to get yourself into the AI search engine responses. And by the time you're finished and look up, it's hours later, maybe a whole day for one query. There must be an easier way to prompt 9 different AI search engines, plus Google and Bing search results. Then get every brand named, How many engines named it, what each one said, the sentiment. And that's where AERS Analyzer comes in. In the next few minutes, I'll show you how to pull every brand those AI answers name into one table with exactly what each engine said about them. And then we'll get a content blueprint on what type of content to create to land you in the AI responses. Now let's take a look at the manual way of doing this. We go into each of the AI search engines and make sure we're logged out. So we're not getting the personalized information. We put in our prompt. Who are the best plumbing suppliers in New York City? We get this nice little map. Then we get our list of suppliers. And then we get a shortlist here with different needs. And then we could get our sources, see which pages they use. So they used these 3 pages. Then you'd extract all of this information, put it into a spreadsheet. Then we go over to Gemini. We do the same thing. Let's see who they name and for which needs. So these are major commercial wholesale suppliers, specialized pipes, hard to find high-end showrooms. And then we could see, view our sources. So you grab all these. And then you do rinse and repeat for all the other AI search engines out there. That is going to take a long time, won't it? If you were to repeat this process over 9 different search engines, that's hours and hours of work. So let's take a look at Flowey. Flowey's AIRS Analyzer. AIRS stands for AI Responses. We've done the work here. We see our query, who are the best plumbing suppliers in New York City? It goes through each of the AI search engines and it gives you an overview of what each of those AI search engines responded with. So in the end, what you get is you get a nice strategic summary. You get your opportunities, why it's going to work, your target audience. The primary search intent, the secondary search intents, the content and clarity scores for each of those responses. And this is huge. You get the brand and entity landscape here. So you can see every single brand that is mentioned, every single entity, location, service provider, directory, whoever they mention or cite. It's all right here in this list. So you can see your brand is New York Plumbing Supply. Now, if I were to click view all entities, here is the big list of all the service providers and locations they've mentioned. You can see how many AI engines have mentioned them. New York City is 9 of 9. So let's say I want to just go with service providers. Now, these are all the service providers and these top 2, Ferguson Plumbing Supply, New York Replacement Parts, 6 of 9 of the AI engines have mentioned them. How many times has their brand actually been mentioned, which is more than once in these cases. And then the primary stance, you get a lot different kinds of stances here. So we have the cited as authority, compared, conditionally recommended. So those recommendations that come with a certain condition, and it could be based on need. Then you have your mentioned and your regular recommended. Here is our brand, New York Plumbing Supply. We are mentioned in 2 of 9 with 6 mentions of our name. We are recommended. And if we expand this, we can see that Gemini and Perplexity are the ones that have recommended us. And we can see our AI agents say this is with 92% confidence, mentioned 3 times here, mentioned 3 times here, 87% confidence here. Ferguson Plumbing Supply, you could see all the different engines where they're mentioned and how they're mentioned. The percentage of confidence here, sentiment confidence of 90%. And then you can also see the different aliases for Ferguson here. So it's not always the full name of Ferguson Plumbing Supply. It's also just Ferguson. Let's go ahead and minimize these. Next things we have are the keywords and different queries. We have the core keywords that are used throughout these responses. And these are the terms that you want to make sure you get into your content along with supporting keywords. Now you also have your fan-out search queries used. Now you can see the subqueries that the different search engines used. Then you have your content blueprints. We have, here's a suggested title format, a concise comparison table format. You have your detailed brief, a unique angle. You have your authority and sourcing experts to cite, studies to reference. Your brand positioning for your own brand, New York Plumbing Supply, should establish authority by publishing the verification date for every material claim. Then we have our key differentiators here, how we can stand out with our content and the strategy on how to optimize our content. You can see each of these bullet points. Talk about different things. So use neighborhood references as Mass Beth, Long Island City, Carroll Gardens, Flatiron, Hell's Kitchen. Clearly label Long Island, Westchester. And these are all things that are done in the AI responses. So you're creating parity here. The AI agents are giving you the table stakes if you want a chance to get mentioned or cited in the AI responses. And here is a secondary blueprint. So 2 different options for blueprints. Now let's go ahead and look at our source comparison. These are all the citations. You can see the top domain is Yelp with 11 different URLs. Then we have all of these larger directories. Then we have Ferguson, and that was one of the top service providers. Then we could see the most cited URLs here. This one's cited 3 times by ChatGPT, Gemini, Perplexity. You can see the different citation patterns, their observations and recommendations on how you could possibly get cited. Then we have the counts of the AI citations. And all of the citations being used. So you could see here, Bing Copilot did not give any sources out. So you could see the Google SERPs here. All of these pages, they link up well with AI Overviews, a few Claude, but Claude gives us 44 different ones. Gemini, Grok, Perplexity. So they don't overlap much at all. And then ChatGPT. They have 3 different sources, and this is that top one that was up here with 3 different engine counts. So ChatGPT, Gemini, and Perplexity use the Central Plumbing Specialties website, which looks like it goes to the homepage. Lots and lots of information here. Everything you would probably do if you were to do this by yourself. And then we have the tool results where we go one by one through each of the AI AI search engines and their individual responses. Here you can see Bing Copilot here, nice little table that they gave us. Then ChatGPT, and you'll notice that ChatGPT before gave us a map. What the agent has done is extracted the map. You can see here, this is a grid of different locations, and that's because it was a map in ChatGPT. We've extracted all of the different businesses that were mentioned. And then we could see a list here for the top New York City plumbing suppliers, Ferguson here. See best use case. And then we have different scores depending on their response and how good of a response it is. And that'll help guide you along to see who gives the most depth and comprehensive responses. Was the response accurate? Did it match the intent of the original prompt? And then we get the individual entities for each of them, just like we had in the strategic summary page. We have each of the individual entities in the responses. So we have the service providers, we have the stance of whether it's recommended or if it was just mentioned. Positive sentiment, neutral, mixed, how many times it's been mentioned, the evidence of it inside the response. Then we have all this different analysis for the response. You can see here, the search intent is commercial first and then informational. Lots of key information here. And here we can see Gemini and Perplexity have green dots on them. That's because we are mentioned in them. Okay. So here is the brand column where you could sort and say, okay, Gemini and Perplexity have both mentioned us 3 times here, 4 times here. We were cited here, named, cited by 2 sources. And it's all highlighted automatically here. You can uncheck it if you don't want it highlighted. It always makes it easy to read. And if you were doing this for a client or just for yourself, you have different options here. Export to a Microsoft Word .docx, to PDF, to HTML. You can export to Google Docs. This is what the HTML is like. No Flowey label whatsoever. It is a white-labeled report. You can drop in your logo here. You can remove the date of generation, the AI model that was used. You have your executive summary here, your strategic summary. Everything we saw is right here. Your big list of entities that were used and every single individual response. Gemini is right here. If you want a Google Doc, also unbranded, so you drop in your own brand. Same thing. All right. So go ahead, log into Flowy tonight, run a query, see where you're getting mentioned or cited or recommended. See where your competitors are. Who are the top competitors that are always getting recommended and always getting mentioned? Give it a try. If you're not on Flowe now, we do have a paid trial that is pretty generous. So give it a go. Subscribe for weekly content strategy and topical authority workflows. See you in the next one.