ML Technologies And Voice SEO

  ML Technologies And Voice SEO

As the SEO landscape continues to evolve, we are trying to stay ahead of the curve by prioritizing user experience, leveraging machine learning technologies and implementing voice search optimization strategies. These trends will impact our work this year by driving the need for more data-driven insights, personalized content and mobile-first design. - Kamaljit Singh, AMZ One Step

11. Users Turning To AI Chatbots Instead Of Search Engines

Users will pose questions to AI chatbots rather than submitting queries to search engines as they did in the past. This inserts a step before users click through to a website (assuming these AI bots start citing their sources), if they ever end up on the site at all. Measuring SEO performance will become more challenging and will likely change our tactics to influence how bots answer relevant questions. - Reid Carr, Red Door Interactive

12. The New ‘E’ In Google’s E-E-A-T

The new “E” in Google’s E-E-A-T (experience, expertise, authoritativeness and trust) criteria for search quality rater guidelines stands for “experience.” This means Google will consider the experience of the author, which is especially important in a world where people trust what they read online. So, content creators sharing their real-life experiences on a topic will greatly optimize for the new trend this year. It is also a trend that will have us thinking twice about how medical content is approached and which websites can be trusted. - Nataliya Andreychuk, Viseven

13. Conversion-First Metrics