Hi all,
I am studying AI for over 2 years now. did some (SEO related) projects involving BERT based keyword extraction and semantic keyword clustering. (https://www.searchenginejournal.com/semantic-keyword-clustering-python/437166/ for example)
I like to make a open source contribution leveraging AI for automating (boring) seo tasks. I do have a few idea's but I like to know more so maybe i can help others with this 'tool' on BHW.
idea 1:
Topic gap analysis (instead of keyword gap).
When doing a keyword gap of let's say 20k keywords, it's usually allot of work to find out the low hanging fruit.
Step 1: Upload competotor keywords, and target (my website) keywords.
Step 2: Make main clusters (these main clusters are topics)
Step 3: output what topics are missing on target website
idea 2 (I got this idea from a BHW member)
use search console incoming keywords for missing content idea's. (keyword vs content match)
Step 1: crawl target website and save all content to db (main content and h1's etc)
Step 2: get incoming keyword data from search console
Step 3: use BERT to get keyword / content similarity scores. Low score means there is something 'new' to write about because there is traffic on this keyword, but a low content match
I am studying AI for over 2 years now. did some (SEO related) projects involving BERT based keyword extraction and semantic keyword clustering. (https://www.searchenginejournal.com/semantic-keyword-clustering-python/437166/ for example)
I like to make a open source contribution leveraging AI for automating (boring) seo tasks. I do have a few idea's but I like to know more so maybe i can help others with this 'tool' on BHW.
idea 1:
Topic gap analysis (instead of keyword gap).
When doing a keyword gap of let's say 20k keywords, it's usually allot of work to find out the low hanging fruit.
Step 1: Upload competotor keywords, and target (my website) keywords.
Step 2: Make main clusters (these main clusters are topics)
Step 3: output what topics are missing on target website
idea 2 (I got this idea from a BHW member)
use search console incoming keywords for missing content idea's. (keyword vs content match)
Step 1: crawl target website and save all content to db (main content and h1's etc)
Step 2: get incoming keyword data from search console
Step 3: use BERT to get keyword / content similarity scores. Low score means there is something 'new' to write about because there is traffic on this keyword, but a low content match