In the search world, most SEOs know that they should be using keywords. They also know that they should be creating relevant content. However, up to this point, there has been no way to analyze if the keywords and phrases are actually even relevant to the content on the page.
Search engines make this determination through topic modeling. The search engines are even able to look at advanced queries and break them down to see which words are the most important out of a specific query.
Having this knowledge could be very important for SEOs, since it could let them know if they need to improve their content. For this reason, Rand Fishkin and the SEOmoz team developed a tool for doing just this called the LDA tool (Latent Dirichlet Allocation).
“Whenever we build, there’s no way it’s nearly as sophisticated as what Google’s using, but what we’re hoping is that maybe it can help people to analyze that and see if it’s a factor in their own rankings or on their pages,” Fishkin tells WebProNews.
The tool is free and is currently available in SEOmoz Labs. Fishkin says he does not know what the implications of the tool will be, but he believes the concept of it is, “a great thing for SEOs to be doing and thinking about more robustly…”
How would this information improve your SEO efforts?