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How Software Automatically Ranks and Manages Online Customer Feedback

A system that automatically finds, scores, and prioritizes online mentions of a company so they can respond to the most important conversations first.

Granted 2015ActiveExpires 2029Owned by IndividualInvented by Terry Dean Blankers, Aria Haghighi, Christopher Kenton

Original patent title: “Systems and methods for measuring and managing distributed online conversations

Plain-English explanation by SahiLast reviewed · June 15, 2026

A system that automatically finds, scores, and prioritizes online mentions of a company so they can respond to the most important conversations first. Granted to Individual in 2015 with 19 claims and 27 forward citations.

Key facts

Patent numberUS 8983975
StatusActive
FieldSoftware & Internet
AssigneeIndividual
InventorsTerry Dean Blankers, Aria Haghighi, Christopher Kenton
Filed2009
Granted2015
Claims19
Times cited27
LitigationNone on record
Value · $94K$300KModest

Coverage

What does this patent actually cover?

This system acts as a digital filter for a company's online reputation. It uses automated search queries to scan the internet for mentions of a specific entity, such as a brand or person. Once it finds a relevant post, it saves it as a 'discrete incident' and assigns it a score based on metrics like keyword density or emotional sentiment. Finally, it ranks these incidents based on the importance of the source and the content's score, presenting a prioritized list to the company so they know which customer complaints or mentions need immediate attention.

The gap

What does this patent NOT cover?

  • Does not cover manual social media monitoring where a human manually searches for posts.
  • Does not cover systems that simply aggregate data without performing automated scoring and prioritization.
  • Does not cover general search engine technology that does not link content to a specific entity for incident management.

These exclusions are unique to PatentBrief — derived from the actual claim language, not patent-office boilerplate.

What made this novel

The system doesn't just find mentions; it prioritizes them by combining the relevance of the content with the authority of the source, effectively automating the triage process for brand management.

Systems and methods for measur…(Primary claim)softwareai mlecommercetelecommunications

Schematic visualization of the patent's claim structure. Hand-drawn diagrams in progress for each landmark patent.

Where you've seen this

Real-world examples

01

Brandwatch

02

Sprout Social

03

Hootsuite

04

Salesforce Marketing Cloud

Why it matters

The bigger picture

Before tools like this, companies were overwhelmed by the sheer volume of social media noise. This patent describes the infrastructure for modern social listening platforms, allowing businesses to turn chaotic internet chatter into a structured 'to-do' list for customer support and public relations teams.

Filed

February 23, 2009

Granted

March 17, 2015

Market context

Who's building on this

Companies in this space

Major enterprise software companies like Salesforce, Adobe, and Oracle have built extensive social listening modules that mirror the logic described here. These systems are now standard in the customer experience (CX) and digital marketing industries.

Market impact

This patent reflects the shift from passive brand monitoring to active, data-driven customer engagement. It helped codify the 'social listening' category, making it a mandatory component of modern enterprise software stacks for managing public perception and customer service at scale.

Claim 1 — Plain English

What this patent covers

This system acts as a digital filter for a company's online reputation. It uses automated search queries to scan the internet for mentions of a specific entity, such as a brand or person. Once it finds a relevant post, it saves it as a 'discrete incident' and assigns it a score based on metrics like keyword density or emotional sentiment. Finally, it ranks these incidents based on the importance of the source and the content's score, presenting a prioritized list to the company so they know which customer complaints or mentions need immediate attention.

The clever bit

The system doesn't just find mentions; it prioritizes them by combining the relevance of the content with the authority of the source, effectively automating the triage process for brand management.

What it does not cover

  • Does not cover manual social media monitoring where a human manually searches for posts.
  • Does not cover systems that simply aggregate data without performing automated scoring and prioritization.
  • Does not cover general search engine technology that does not link content to a specific entity for incident management.

Patent timeline

Filing

Application submitted to the patent office

Publication

Application published, typically 18 months after filing

Grant

Patent officially issued

PatentBrief Score

Impact Score

Moderate

Citation count

29/40

Moderately cited

Claim breadth

13/20

Broad claimsclaimsThe numbered statements at the end of a patent that legally define what the inventor owns.Read more →

Recency

5/20

Granted 10–20 years ago

Assignee scale

0/20

Independent or smaller assigneeassigneeThe entity that owns the patent — usually the inventor's employer or a company.Read more →

PatentBrief Impact Score — based on citation count, claim breadth, recency, and assignee scale. Not a legal assessment.

Heuristic Value Estimate

What this patent might be worth

Modest

$94K$300K

Midpoint $187K · 2.7 yr remaining · industry ×1.6

Adjust inputs →

Heuristic only — blends forward/backward citation counts, claim scope, time remaining, litigation history, and CPC-derived industry baseline. Real valuations need a professional appraisal.

The original legal language

Original claims

19 claims as filed with the patent office.

Concepts involved

ClaimPrior artNon-obviousnessNoveltySpecificationAssigneePatent term

Citations

Patent lineage

Cites earlier patents

45

earlier patents this invention cites as foundations

View prior art →

Cited by later patents

27

later patents that build on this invention

View patents →

Cite this patent

Blankers, T. D., Haghighi, A., & Kenton, C. (2015). How Software Automatically Ranks and Manages Online Customer Feedback (U.S. Patent No. 8,983,975). U.S. Patent and Trademark Office. https://patentbrief.org/patent/us/8983975/facebook-news-feed-ranking

Auto-generated from the patent record. Double-check author order and the issue date against the official USPTO document before submitting.

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Common Questions

Frequently Asked Questions

What does How Software Automatically Ranks and Manages Online Customer Feedback cover?

A system that automatically finds, scores, and prioritizes online mentions of a company so they can respond to the most important conversations first.

Who owns patent US 8983975?

Individual owns this patent, granted in 2015.

When does this patent expire?

This patent is expected to expire on March 17, 2035, when the invention enters the public domain.

What is patent US 8983975 cited by?

This patent has been cited by 27 later patents that build on its ideas.

What problem does this patent solve?

Before tools like this, companies were overwhelmed by the sheer volume of social media noise. This patent describes the infrastructure for modern social listening platforms, allowing businesses to turn chaotic internet chatter into a structured 'to-do' list for customer support and public relations teams.

What does this patent NOT cover?

Does not cover manual social media monitoring where a human manually searches for posts.

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Last reviewed: June 15, 2026 · PatentBrief is not a law firm and this is not legal advice.