Patents by Inventor Patrick Danial

Patrick Danial has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 12353492
    Abstract: Provided are a system and method for obtaining, according to current and historical URL placement(s) on search engine results pages (SERPs) for identified keywords, predicted URL performance in SERP positioning. Such performance can, using URL titles and snippets appearing on SERPS, be assessed for URLs filtered to meet targeted (i.e., non-branded, informational, transactional) classifications. When a machine learning model receives input, including, for example, (a) historical trajectories of SERP positions for filtered URLs matched for identified keywords, (b) URL classification as informational or transactional, and (c) URL work type categorization (e.g. optimization, new Content, or no action), positioning for an analyzed URL on one or more SERPs returned for query according to one or more identified keywords can be predicted for a predetermined time horizon.
    Type: Grant
    Filed: December 24, 2024
    Date of Patent: July 8, 2025
    Assignee: Terrakeet LLC
    Inventors: Jennifer Brussow, Patrick Danial, Christopher Pasquarella
  • Patent number: 12182217
    Abstract: Provided are a method and system for selecting and ranking keywords, including a process through which a universe of potential keywords tied to various topics is generated and filtered. Once this is completed, search engine ranking pages (SERPs) are generated for these potential keywords. Reference text associated with topics of interest is also generated by the system of the present invention. This can be accomplished in various ways according to the teachings herein. For example, reference text can be generated using generative AI functionality. Initial reference text can be later improved upon using machine learning techniques so as to adjust reference text that is too broad or narrow in scope. Reference text and SERP results are used in connection with a model to generate semantic similarity scores which are then used for ranking and selecting keywords.
    Type: Grant
    Filed: May 3, 2024
    Date of Patent: December 31, 2024
    Assignee: Terakeet LLC
    Inventors: Jennifer Brussow, Patrick Danial, Craig Waterman