I Built a FREE Tool to Rank in Google AI Answers

Key Takeaways

Be honest. When you open Google today and search for something, do you actually scroll or you read the AI answer and move on? If your website, your business, your content, your application or your product is not showing in these AI answers, it means you basically don't exist for a lot of people. And don't exist mean even if you have the best product, the best content, your business will fail. Today, we will change that. I built a free Google AIO toolkit to help you track and optimize your web pages to rank and get mentioned in these Google AI snippets. And the best part, I will give you this toolkit totally for free so you can run and use it locally on your PC. If you are ready, let's get started. Jump into my toolkit, the Google AIO toolkit I built for you. So here you can see we have the keyword section. These are simply the keywords like your website name, your business name, your product name, maybe your competitors or simply any keyword you want to track. So for example, I want to track my website, my course name. And to help you understand this and how I built it, let's go and see an example. If you open now Google and let's say I want to search for this, what is the best course on building SAS on WordPress and let's go with AI mode to ensure we get an AI result. You can see here that Google returned my course WordPress SAS 2.0 by Learn with Hassan. So here the keywords I want to track is WordPress SAS 2.0, Learn with Hassan and my website. These are called the keywords or the mentions and this is the search query. Now the question is if we have like 100 keywords, 1,000 keywords, how we can automate this process and track these mentions? Of course, we are not going to do this manually. Hopefully, I found Scraping Dog, a website that provides a lot of API endpoints. And I was really so happy when I found their Google AI mode API. So, you can programmatically automate the process and check the rankings on AI for hundreds of keywords, maybe thousands of keywords. Let me show you this. So, here in the dashboard, let's go to scraper APIs. And you can see here Google AI mode. You just enter a keyword for example the best course on building SAS on WordPress and you will see here we have the parameters you can set the country if you want and then start scraping. So now we can get the AI result through this API endpoint. You can see here this is the result in JSON. So we can easily integrate in our apps and this is what I did. I simply integrated with my toolkit here. So if you go now to the dashboard you will see I can run tracking. Now what will happen when I click on this? We are going to search with Google AI mode and get the results using scraping dog and check if our keywords are mentioned. And you can see we got five mentions. If you go into the keywords again, you will see that each keyword how many checks and how many mentions we got. So we have queries, we have keywords and we have scraping dog API engine. We just automate the process and we have this awesome application to track our mentions. Now the second big question is how do we know the queries that we need to track? How we can predict what people may enter on Google to find your products and pages. This is where the second tool the query generator comes. Generate queries from URLs. Again the idea is super simple. Here we have two building blocks for this tool. We have again a scraper and AI. Let's go back to scraping dog. And you will see here in the APIs we have the general scraper. This is an awesome tool. Awesome API allows you to scrape any web page and return markdown. So you can pass the AI to understand your web page. So let's say I want to rank wpbuilderschool.com. This website where I host my course on building SAS on WordPress. I will get this link and paste it here and then simply start scraping. It will return back the full web page in a structured way you see in an MD format. I just integrated this API and passed the markdown to an AI to help you understand this. I'll do the operation manually. So I copy the response here. I will open chd. I will say here web page and paste the content. And I will use now a very basic prompt to help you understand the concept. Analyze this web page and generate queries people might search to find it. So we gave it the page content and we ask AI to generate queries that people might use to find this web page. We enter and this is what we are automating in our application. You see here is giving a lot of queries. And now if we enter the API here, this is exactly what will happen. I will click on generate queries. It will read the web page using scraping dog, analyze it with AI and suggest search queries that users might use powered by AI. Let's see the magic. Perfect. You see here and simply I can check what queries I want and import and then we will see them here in the queries page. It's that simple. Now the most crucial question is okay we are tracking our mentions but how in the first place we can optimize our website and web pages to rank on Google AI snippets. Here where the AI audit tool comes again we are using scraping dog here but now we use HTML because you want the full HTML code of the page so we can analyze to see if it's optimized or not. start scraping and you'll see now we have the full HTML code of the page. So now we can check for metadata. We can check for everything in this page. So we can optimize and generate a detailed report. So after that what I do is I copy this and I go through two steps as we did here with analyzing for search queries. to analyze with AI and we do an automated checklist to verify that our web pages contain things like JSON DL structured data facts TLDDRS and everything that helps optimize and drag our page on AI snippets. So again here [clears throat] we just enter the URL of the web page click run AIO audit with a couple of seconds. So again here we are coding scraping dog scraping the web page in HTML mode analyzing the full web page and generating detailed report you will see right now perfect I got a V9 not bad so you can see technical SEO is good semantic HTML needs improvements and if you go down here we have the top improvement sections what to add what to do we have technical analysis in depth what do you have what you need to optimize We have the content analysis with the scores. We have retrieval features. We have semantic signals. Everything needed for the AI to understand your page and rank it in AI snippets. Now, let me show you in 1 minute how to run this project locally on your PC. In the description below, you'll find a link. Download the project files. Open NVS code and make sure Python is installed and simply say python-m VMV to create a virtual environment. Then simply activate it. Scripts activate. I will leave all the commands in the full guide in description also if you want to follow up step by step. Now create a super user. Say python manage. py create super user like creating your admin account in the application and simply enter your username for example admin 1 anything my email and enter a password perfect and now to run the application say python manage py run server that's it you will get this one open it will ask you to log in just enter the username and password you create and we will be inside the application. We are not done yet. Google AI results is one AI model out of many out there. We have charg AI models. And if you want to get the maximum exposure and traffic from all AI models, you need also to optimize for those models. And in this video, I show you how you can rank on top of Chad GPT. Go now, learn AIO and start optimizing for 2026. and beyond. If you learned something new today, smash the like button and see you in the upcoming