SMX, the largest annual search conference event, kicked off this year with an eventful keynote by Hyung-Jim Kim, VP of Search at Google, and Barry Schwartz, SEO Editor at Search Engine Land. The insightful conversation set the stage for the coming direction of where Google search is headed and how the SEO community fits into that future.
At the same event, Jim Liu, CEO at SEO Vendor, revealed details on a new Branch Prediction AI strategy to the SEO community that up until this point, has mainly been kept secret to company staff.
The presentation centered on introducing attendees to predictive SEO analysis and how to apply advanced AI neural network strategies to SEO analysis.
The whole presentation in PDF form can be downloaded at SMX (requires registration):
Branch prediction-based AI technology is an SEO Vendor invention. We are the sole providers of this technology to our agency partners as part of our SEO white label service offerings.
The technology bridges the gap between SEO strategies and action plans by using AI to power the difficult job of SEO analysis and rankings forecasting.
The SMX session explains how branch prediction speeds up the SEO analysis process and solves an age-old “analysis dilemma” issue that all marketing agencies face.
Watch the full SMX presentation here:
The concepts in predictive SEO, branch prediction, and AI analysis are put into practice in SEO Vendor’s CORE AI platform. A patent-pending technology that was invented by Jim Liu and developed at SEO Vendor to face everyday challenges with rankings including:
- SEO analysis duration
- Google algorithm updates
- Ranking penalties
- Analysis indecision
The SMX presentation is only a quick dive into the world of predictive AI analysis. In reality, we are only at the tip of the iceberg when it comes to utilizing AI in SEO.
If you would like a more detailed explanation of SEO AI and hear more thoughts on predictive AI analysis, watch this 3 part series from our technology founder:
In part 1 of this 3-part series, learn what is predictive SEO and how AI analysis can dramatically improve the SEO decision-making process. Solve the “analysis dilemma” faced by every SEO agency.
In part 2 of this 3-part series, discover neural networks and how they have dramatically improved SEO results by improving speed and accuracy of analysis and decision making.
In part 3 of this 3-part series, we get to the heart of Google’s algorithm updates and explore how to overcome ranking changes through AI. Finally, learn how you can implement AI thinking into your SEO workflow.
A comprehensive study from 4-years of real-world application is available in this blog.