US 11,941,073 B2
Generating and implementing keyword clusters
Christopher Douglas Bennett, Ladera Ranch, CA (US); Paxton Michael Gray, Lehi, UT (US); Wayne Gregory Sleight, Lehi, UT (US); and Patrick Ralph Bennett, Huntington Beach, CA (US)
Assigned to 97th Floor, Lehi, UT (US)
Filed by 97th Floor, Lehi, UT (US)
Filed on Dec. 23, 2019, as Appl. No. 16/725,730.
Prior Publication US 2021/0191995 A1, Jun. 24, 2021
Int. Cl. G06F 16/00 (2019.01); G06F 16/906 (2019.01); G06F 16/953 (2019.01); G06F 16/958 (2019.01)
CPC G06F 16/953 (2019.01) [G06F 16/906 (2019.01); G06F 16/986 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
applying a keyword value model to a collection of keywords associated with a domain for a website to determine a plurality of value metrics for the collection of keywords, the keyword value model being trained to output, for each keyword from the collection of keywords, a set of value metrics including a volume value, a bid value, and a difficulty value;
identifying a candidate keyword based on two or more value metrics from the set of value metrics associated with the candidate keyword exceeding one or more value metric threshold values;
generating a keyword cluster for the candidate keyword, the keyword cluster including the candidate keyword and a plurality of associated terms; and
implementing the keyword cluster within a structure of a published content item associated with the domain by adding one or more portions of the keyword cluster to one or more structural elements within a webpage of the domain.