MarketMuse
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| File:MarketMuse Logo.png | |
| ISIN | 🆔 |
|---|---|
| Industry | Content Marketing |
| Founded 📆 | 2013 |
| Founders 👔 | Jeffrey Coyle, Aki Balogh, Richard Mallah |
| Headquarters 🏙️ | , , US |
Area served 🗺️ | |
| Products 📟 | Content Analyzer, Content Planner |
| Members | |
Number of employees | |
| 🌐 Website | www |
| 📇 Address | |
| 📞 telephone | |
MarketMuse is a software company that uses machine learning to measure and improve the quality of online content.
The MarketMuse platform identifies content quality issues and builds blueprints that show marketers how to write to cover a topic comprehensively.
MarketMuse is headquartered in Boston, MA with satellite offices in New York City, Saint Simons Island and Seattle.
Google Hummingbird[edit]
In 2013, Google launched a search engine update called "Hummingbird" which began to use semantic analysis to determine content quality based on topical relevance. Hummingbird is based on Google's acquisition of Freebase, a technology company, in 2010.
The launch of Hummingbird reinforced the need for building high-quality, comprehensive content in order to rank highly in Google search.[1] This was done in order to combat link buying and other black-hat practices common in the Search Engine Optimization industry that result in low-quality content being surfaced in search.
Topical Authority[edit]
Software made by MarketMuse seek to build topical authority by helping content writers cover topics comprehensively.
Search engines use three main signals: Trust, Authority and Expertise. Topical authority is authority that is achieved when a website is the most complete source of information on a subject. Topical authority can be achieved by building both breadth and depth of coverage on a topic.
By describing a concept in detail, topically authoritative content educates the reader and builds thought leadership.
Topic Modeling[edit]
MarketMuse builds topic models on large amounts of Web data to construct a semantic Knowledge Graph, similar to the Google Knowledge Graph.[2]
Using topic models, MarketMuse finds topical gaps, identifies related topics and generates content outlines to build topical authority.[3][4]
MarketMuse's approach to topic modeling is patent-pending[5] and differs significantly from TF-IDF and Latent Semantic Indexing technologies created to date.
Search Impact of Topical Authority[edit]
Online marketing influencer Brian Dean, creator of online blog Backlinko, analyzed 1 Million search engine results and reported that comprehensive coverage of a topic is one of the most impactful ranking factors on organic (Google) search.[6]
MarketMuse customers who have seen notable ranking improvements include Brafton [7], 41 Orange [8], SelectHub [9] and TechTarget.
References[edit]
- ↑ "How do you create content that Google loves?". Brafton. 2017-08-07.
- ↑ "How Google Hummingbird Really Works: What We Learned by Analyzing 9.93 Million Words of Content". Retrieved 2017-10-05.
- ↑ "How Topic Modeling Can Strengthen Your SEO and Content Marketing Strategy". 2017-10-05.
- ↑ "MarketMuse Uses Machine Learning to Perfect Content Strategies". VentureFizz. 2017-03-02.
- ↑ "Systems and methods for semantic keyword analysis". 2016-05-05.
- ↑ "We discovered that content rated as "topically relevant" (via MarketMuse), significantly outperformed content that didn't cover a topic in-depth". Backlinko. 2016-09-02.
- ↑ "How MarketMuse Brought Us to Page One of Google". Brafton. 2017-05-09.
- ↑ "How MarketMuse Helped a Property Management Company Secure Top Spots in Google". 41 Orange. 2017-05-19.
- ↑ "How SelectHub Used MarketMuse to Establish a Content Strategy". SelectHub. 2017-06-26.
This article "MarketMuse" is from Wikipedia. The list of its authors can be seen in its historical and/or the page Edithistory:MarketMuse. Articles copied from Draft Namespace on Wikipedia could be seen on the Draft Namespace of Wikipedia and not main one.
