How AI Can Take Content Quality to the Next Level
In the world of SEO, there is always a delicate balance between creating content in large volumes and ensuring its quality. Many times, the focus has been on creating content primarily for search engines, which often leads to disastrous results when search engines catch on to these tactics. However, when used correctly, AI can be a powerful tool to improve the quality of content and enhance SEO efforts.
The goal of using AI in this context is to find “intent gaps” in content, which refers to the questions or queries that the content does not adequately address. By identifying these gaps, SEO professionals can improve the content and make it more valuable to users. This process can be done in real-time and involves crawling the website’s content URLs, analyzing the text using ChatGPT, and comparing it to Google’s People Also Ask data to determine where the content falls short.
To execute this process effectively, there are several tools that can be utilized. The Screaming Frog SEO spider’s latest version, v20, includes a new feature that allows custom JavaScript execution while crawling. This feature enables data extraction during the crawling process. The OpenAI API allows for programmatically interacting with ChatGPT for content analysis, with a focus on summarizing and reviewing existing content. Additionally, the AlsoAsked API provides access to People Also Ask data in various languages and regions supported by Google.
The power of using People Also Ask (PAA) data lies in its ability to provide detailed insights into user intent and queries that may not show up in traditional keyword research tools. Google uses PAA boxes to help users refine their queries and understand what they want from a particular search. By incorporating these queries into content, SEO professionals can improve the chances of their content ranking well. PAA data is also updated frequently, making it a valuable source for identifying new trends and topics that can be capitalized on in terms of SEO.
To implement this AI-driven approach, a step-by-step process can be followed. First, it is important to update the Screaming Frog SEO spider to the latest version. Next, a crawl of the website’s URLs is conducted using Screaming Frog, with a focus on selecting content URLs that are most likely to benefit from this analysis. The CustomJS feature in Screaming Frog is then used to import the AlsoAsked+ChatGPT custom JavaScript, which allows for the execution of the AI analysis. API keys for OpenAI and AlsoAsked are configured in the JavaScript code. The settings for PAA language and region can also be customized within the JavaScript. Finally, the crawl is run using the List crawl type in Screaming Frog, and the results can be viewed in the Custom JavaScript tab, where a list of unanswered questions based on PAA data will be displayed. These results can be exported to a spreadsheet for further review and analysis.
This AI-driven approach to content analysis and improvement can be integrated into existing standard operating procedures for content creation and SEO. By leveraging AI tools and techniques, SEO professionals can gather valuable data to enhance their content and optimize it for search engines. With the right tooling and automation, these checks can be incorporated into the content creation process itself, ensuring that new intent gaps are identified and addressed promptly.
In conclusion, AI has the potential to revolutionize content quality on a large scale. By leveraging AI tools and techniques, SEO professionals can identify intent gaps in their content and make it more valuable to users. With the right tools and processes in place, content creators can stay ahead of the competition and ensure that their content meets the evolving needs and expectations of search engine algorithms.
