I Built a FREE Tool to Rank in Google AI Answers

Importance of AI Snippet Visibility [0:00]

• If your website, business, or content is not appearing in Google's AI answers, you "basically don't exist for a lot of people."
• Failing to appear in AI snippets can lead to business failure, even with excellent products or content.

Google AI Toolkit Introduction [0:26]

• A free Google AI toolkit has been built to help users track and optimize their web pages for Google AI snippets.
• The toolkit can be run locally on a PC.

Keyword Tracking Functionality [0:53]

• The toolkit features a keyword section where users can input names of websites, businesses, products, competitors, or any keyword they wish to track.
• An example illustrates tracking keywords like "WordPress SAS 2.0" and "Learn with Hassan" for a course that appeared in an AI search result.

Automating AI Mention Tracking with Scraping Dog API [01:53]

• Scraping Dog provides API endpoints, specifically a Google AI mode API, to programmatically automate the process of checking AI rankings.
• This allows for automated tracking of mentions for hundreds or thousands of keywords.
• The toolkit integrates with the Scraping Dog API to search Google AI mode, check for keyword mentions, and report the number of mentions found.

Query Generator Tool [03:25]

• This tool helps predict search queries people might use to find your products and pages.
• It uses two building blocks: a scraper and AI.
• The Scraping Dog general scraper API is used to scrape any web page and return its content in Markdown format, allowing AI to understand the page.
• The scraped Markdown content is then passed to an AI model with a prompt to generate potential search queries.
• The application automates this process, suggesting search queries users might use, powered by AI.

AI Audit Tool for Optimization [05:30]

• This tool helps optimize website and web pages to rank on Google AI snippets.
• It uses Scraping Dog to fetch the full HTML code of a page for analysis.
• The tool checks for elements like metadata and provides a detailed report on optimization status.
• An automated checklist verifies the presence of elements crucial for AI snippet ranking, such as JSON LD structured data, facts, and TLDRs.
• The audit generates a score, with an example showing a score of 99, and provides insights into technical SEO, content analysis, retrieval features, and semantic signals.

Local Deployment Guide [07:26]

• Instructions are provided to run the project locally on a PC.
• Steps include downloading project files, opening in VS Code, ensuring Python is installed, creating a virtual environment, activating it, and creating a super user.
• The application is then run using python manage.py runserver.
• Users log in with the created username and password to access the application.

Beyond Google AI Models [08:29]

• The video mentions that Google AI results are just one model, and users may need to optimize for other AI models like ChatGPT to maximize exposure and traffic.
• It references another video showing how to rank on top of ChatGPT.

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.