October 17, 2024

Just remember the golden days of SEO, when it was all about cramming keywords and search engine algorithms were like a code only a few could track? Those days are now fading into the distance. With the evolution of AI, the standard practices of SEO have changed radically. And it’s the same in the case of technical SEO as well. But how does this combination impact websites’ visibility? Without further ado, let’s check out how AI is shaping the domain of technical SEO.  What is Technical SEO? Technical SEO is a method used by an SEO marketing agency or an individual to optimize a website’s infrastructure to improve its performance in search engine result pages (SERPs). In contrast to on-page and off-page SEO, which focus on external elements like backlinks and content, technical SEO addresses the invisible components that influence search engines ability to index, crawl, and rank a website. In simple words, if your technical SEO is strong, search engines will prioritize your website, leading to better rankings and visibility. However, technical SEO demands accuracy and meticulousness. Even a small mistake like slow page speeds, broken links, or incorrect redirects can damage your search performance. So, a thorough and detailed analysis is the key to a successful technical SEO.  Role of AI in Technical SEO Analysis AI has become a potent tool in technical SEO analysis, which offers speed and productivity that fundamental methods often can’t match. AI-based SEO tools like Surfer SEO, Phrase, ChatGPT, and other advanced platforms are helping businesses to gain more organic traffic. These tools automate the basic tasks, such as crawling websites, reviewing content, and pinpointing technical issues if any exist. The upper hand of AI over manual SEO is the ability to process immense amounts of data quickly. With AI, technical SEO experts can get real-time insights and automated reports that underline the key issues, which makes it a breeze for them to resolve them. It also excels at detecting patterns that human naked eyes might miss, such as plagiarism content or structural problems in the site architecture. But it doesn’t mean to disregard human expertise. Humans are needed to fine-tune strategies and ensure that SEO initiatives align with your or your clients business goals.  How Does AI Enhance Key Areas of Technical SEO? We all know that AI is transforming the way technical SEO is practiced by making it more efficient and data-driven. AI allows the technical SEO companies to focus on strategic decisions rather than getting bogged down in time-consuming analysis. These are some key areas where AI boosts technical SEO: Crawling and Indexing: AI helps search engines crawl and index complicated websites in less time. They discern hidden challenges like orphan pages or duplicate tags and ensure nothing is overlooked.  Website Performance: It maximizes the site performance by adjusting the page speed, mobile responsiveness, and overall user experience. Schema Markup: It can be very tricky to implement structured data. AI makes certain that schema markup is precise, which further helps search engines understand the content and increase visibility in search results. Keyword and Content Optimization: AI tools can analyze user search behavior and suggest changes to content marketing strategy to attract the right audience to your website. Predictive SEO: AI can forecast trends and updates in search algorithms. It helps businesses stay ahead in the cutthroat market and adapt their SEO strategies proactively. Generative AI for Technical SEO Not all marketers are comfortable with the technical aspects of AI, such as working with OpenAI’s API, Python, or spreadsheets. Many would rather hand over the tech details and get back clear insights in return. That’s why they opt for AI to interpret technical SEO data more clearly. Even without programmatic access, tools like ChatGPT and Google Gemini offer easy-to-use chat interfaces.  AI chat tools have become more powerful recently. For example, OpenAI’s ChatGPT has been upgraded from GPT-4 to GPT-4o. This new version brings several improvements: GPT-4o is much faster than GPT-4, with similar accuracy but a response speed closer to GPT-3.5-Turbo. GPT-4o relies less on plugins or custom GPTs to access web content. It fetches web content more often, making its responses more up-to-date. While these improvements are promising, the web is often poorly curated and filled with misinformation. Some companies that provide digital marketing services and technical SEO services believe that GPT-4’s limited web use produced higher-quality results compared to GPT-4o’s frequent web searches. That said, GPT-4o is faster, more interactive, and capable of working with a wider range of data types. It can produce diverse media formats and is equipped to browse the web. For marketers who may not be technically inclined, GPT-4o’s enhanced web search abilities could be valuable. However, some concerns remain due to past experiences with tools like Google’s Bard and Gemini, which often returned subpar results. The Final Verdict In short, AI has made significant strides in technical SEO by delivering speed, precision, and automation in tasks. Though AI is great at what it does, it is still limited in its ability to comprehend the jargon content and adjust to changing SEO tactics. Human expertise is still valuable for interpreting insights, making strategic decisions, and handling creative aspects of SEO. The best way to combine AI’s strength with human skills is by creating a strong partnership that drives functional and flexible SEO strategies.