In the fast-paced world of marketing, time is of the essence. Marketers are constantly looking for ways to save time and streamline their processes to stay ahead of the competition. This is where AI comes in. According to HubSpot’s 2024 State of Marketing Report, marketers save around 2.5 hours per day with the help of AI tools. Moreover, 60% of marketers see AI as a valuable assistant in their daily tasks.

Unlocking the Power of AI in Technical SEO
When it comes to technical SEO and AI, the possibilities are endless. To shed light on the topic, I reached out to experts from HubSpot’s technical SEO team and practitioners from my network to uncover how AI is revolutionizing the field.
1. Enhancing Internal Linking Structure
Internal linking is a crucial aspect of on-page SEO that impacts a site’s overall link architecture. AI tools like Screaming Frog’s Ngram tool can help identify both linked and unlinked keywords within content, making internal linking more efficient and effective.
Best for: SEO professionals handling a mix of on-page and technical SEO responsibilities.
2. Simplifying Schema Tag Generation
AI-powered tools like Jasper Chat can generate schema markup to enhance search results visibility. These tools are especially useful for SEO practitioners who want to streamline schema implementation without extensive coding knowledge.
Best for: SEO practitioners looking to save time and optimize schema markup.
3. Automating Log File Analysis
AI can analyze log files to identify patterns and behaviors that impact crawling and indexing. By leveraging AI for log file analysis, SEO professionals can swiftly detect and resolve technical issues.
Best for: SEO practitioners seeking quick insights into Googlebot behavior and site performance.
Is AI the Future of Technical SEO?
As AI continues to transform the digital landscape, the debate on its role in technical SEO persists. While AI offers immense benefits in terms of efficiency and automation, human expertise remains irreplaceable in the intricate world of SEO. The key lies in striking a balance between AI assistance and human insight to achieve optimal results.
What are your thoughts on integrating AI into technical SEO practices? Let us know in the comments below!