Floyi SERP Insights

Hey, welcome. If you've already built your topical map and content plan, prepping to create the actual content for your audience is the next step. In this walkthrough, we're going to use SERP Insights to analyze the top-ranking pages for your target topics and keywords. So, you know exactly what's working and what your competitors are missing. So let's dive in. First, we'll get started with a search query. We'll get started with Let's say how to create a content strategy. Then you can choose your language. You can choose your country location. You can put in anywhere you want. There are hundreds, thousands of different locations. And then all you do is click get SERPs. This should only take a few minutes. It depends how many results are in the SERPs. So what's happening right now is it's getting page 1 of the SERPs. And the SERP features. Then it's going to fetch the content from each of the top competitors and analyze their content for the specific search query, as well as what content is inside each page. Because if you want to rank in Google, Bing, or even generative search engines like ChatGPT and Perplexity, You need more than keywords. You need context, structure, and strategy. We're going to reverse engineer what the algorithms are rewarding. So you can create content that's not just competitive, it's better. It's getting close to being done here. Once it's done, it's going to give a lot of information to you. So we'll go through all the different parts. All right. So now we have a couple of tabs here, SERP analysis and competitor analysis. SERP analysis gives you the page 1 of the SERPs here, right? So these are the 8 blue links. Then it gives you the top domains and frequency. How many times a domain shows up on page 1. There are times when websites have multiple pages ranking on page 1. So then we have the AI overview, if there is one. Then how many sources they're using. Then you have your feature snippet, the answer box. Then you have your people also ask and also related searches. Depending on the SERP features, if you're looking up a person or a specific company, a lot of times you'll get a knowledge graph over here as well. You'll get different SERP features depending on what you're searching for. Then in competitor analysis, we have an analysis on the content of each of the top competitors for the search query. Okay, so we got, we can see HubSpot here, MailChimp, and then Groove, all the different ones, Neil Patel. And then of course we have Quora and I saw Reddit up here. A lot of times Reddit doesn't always scrape well. It's hit or miss, but in this case it did work. So what we're going to do here is let's just go ahead and take a look at the top competitor. We can see how many words they have, how many links they have, internal and external links they have on that page. A lot of times that does include a lot of the header links and footer links. So it's not always just the main content, depending on how the site is built. We can sometimes get just the internal links in the main content, but not always. How many images there are, how many videos there are. In this case, Coursera has no videos. And then we have an AI summary of what this page is all about. And then we also have an analysis of how well it matches the search query, which is how to create a content strategy. Here's a button to hide the settings. You can also click that if you don't need to see the settings anymore. This page answers it pretty well. And then you can see here. Reddit doesn't really address the search query of how to create a content strategy, which makes sense because it's a forum. We could see Quora down here also does not really cover everything, especially compared to all these others. You can see a 9 here, a 9 here, an 8 here, an 8, a 10. HubSpot. A 5, a 9. And then you can see the main topics covered in this piece of content here. Next, all we do is click on it and you'll get a nice little popup. It gives you a lot more analysis here and insights into this piece of content. And it does use the AI that is based off of the AI chosen in the sidebar. So for this, You can see that the targeted search query, how to create a content strategy. Again, here we have the 9, how well it matches their search query. The content closely matches the search query by providing a detailed guide on creating a content strategy, but could improve by including explicit examples. And if you ever wanted to check it out, you can just click the link up there and you can see the actual page. But I'll show you shortly. You don't need to click through to the page in most cases. Continuing on with analysis. Again, we have the summary. Then we have tone of voice. What tone of voice is this piece of content? The buyer's journey, the search intent, the content type, the content structure, how readable it is, how organized it is. How good the headings are. You can see down here, the heading structure. We extract all the headings out so you can see how they're structuring their content. And then the People Also Ask ratings. So what it does is it goes back to the SERP features here, People Also Ask, and it grabs these 4 questions here, or however many are showing up when people search. What are the 7 steps in creating a content strategy? Then we go back to competitor analysis, click on this, and you could see what are the 7 steps in creating a content strategy? How well does this piece of content answer that? The content directly lists and elaborates on the 7 steps. And you can see that what are the 4 steps? The content does not mention 4 steps. The content does not outline 5 specific steps. Again, the main topics, the subtopics, and then the main entities mentioned. Obviously Coursera, Northwestern University is probably who wrote this, or they're promoting a class inside the piece of content. So you could see what are the 7 steps and you could see 7 steps right here. 1, 2, 3, 4, 5, 6, 7. Next tab over here, page info. So you have the position on that specific date, the search query, the SERP title that shows, and the SERP snippet. In this case, there wasn't one. Let's see, was Reddit— you could see Reddit has a SERP snippet here. And then from page content, which is different from the SERP data. This is actually from the page's HTML code. So we have the title tag, the H1 tag, and the meta description that they use. And it's good to see a lot of times where you could see Google or search engine might use a different SERP snippet compared to the meta description that the creator uses. Here, more content stats, the publish date, when it was last modified. So you could see how fresh this content is. The link and media stats, the internal external links, again, the images and videos. Then you have the content metadata. So if you click this, you can collapse the panel or you can just click it to open it. So it gives you a lot of the metadata, the canonicals and meta description. Again, the favicons, the titles, viewports, and all these other OG tags, Twitter tags and stuff. And then of course the schema data. All this structured data helps search engines like Google as well as ChatGPT and all the AI search engines understand more about this page, who created it, when it was first published, last updated, all the different things that are inside this. Then we have our full content. This is where we try to extract what the page shows. So you could see Coursera has a little bit of a wonky HTML and it just It could be a popup that showed. So what we do is we offer 2 views here, the HTML view and then a Markdown view. So you can see in the Markdown view, you can actually see a lot more of the content. A lot of times, depending on how it's built, you'll see odd code here and there. But for the most part, here is the data. What is a content strategy? What is a content strategist? And this is the same thing. What is content strategy? What is a content strategist here? Why is content strategy important? So you could see the Northwestern logo. All right. And then in the links and media, scroll all the way up. We have again, the media. Then we show all the links that they have, including their alt text. So if you click this top bar, basically you can collapse it because they don't have any videos. There's no video links. You could see all the internal links they link to and all the external links. So you could see what references they use. Let's find one with a video. Okay. NN Group has 8 different videos. Let's see what they're— so you could see their HTML content. So you could see here are all the videos. Looks like. So you could click HTML and Markdown depending on how the page is built, and you might get a better view with one or the other. Links and media. So here are the image links and here are the different video links. You got your YouTubes and their own hosted ones here. And if you ever want to download all this data, you can just click Export Analysis right here. And let me make this a little bit smaller. Let me make this bigger. So here you have the same 2 tabs, SERP analysis and competitor analysis. Here we can see what the search query was, the SERP date, the country, the language. Then you have your different domains, your SERP results. You could see the snippets that were used. So you could see here, HubSpot, Google is grabbing 2014 as the date. I'm assuming that's the original publish date and they would have updated it since. Here are all the SERP features down here. You can get all the SERP features. So with the HubSpot, let's make this bigger again. With HubSpot, let's see, where is it? Here you go. So you could see the publish date is 2014. Last modified date is 2025 in March. You get the title here, you get the URL, then you get the same thing, all the same information, the images, videos, internal links. Scroll right, you get the header structure. Okay, so then you get the main topics here. Let me center this so it makes it easier to see and then wrap text. And obviously the AI summary is going to take up more space. You get your subtopics, your AI summary, your tone of voice, buyer's journey, search intent, content type, readability, content organization, headings quality, PAA ratings, and you know how well it answers each of the people also asked. The full content itself in Markdown, because it's easier to read than HTML code, the raw metadata, and then the schema. So you have all the information you need here. Then you'll have all your past queries here, and then you have your new query. Anytime you want to start a new one, you just need to click the clear inputs and then clear everything out. There it is. Let's go ahead and load one. The next step now is to turn all of these insights and data into a powerful strategic content brief. And that's exactly what we're building now. Flowe's upcoming content brief tool is going to let you take everything you just analyzed— topic, structure, tone, gaps— and convert it into a ready-to-go brief for writers. Clients or your own team. It's going to make planning and producing high-quality content faster and easier than ever.