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Sharecare, Inc. is an American health and wellness company that provides consumers with personalized health-related information, programs, and resources. It provides personalized information to the site's users based on their responses to the RealAge Test, the company's health risk assessment tool, and offers a clinical decision support tool, AskMD.
The analysis highlights History and Companies as prominent areas in the source structure around Sharecare.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Sharecare shows recurring relationship patterns in the source. For example, Sharecare → AARP, American Cancer Society, American Heart Association, American Red Cross, Annual Appy Awards, Apps, AskMD, AskMD's, Best Medical App, Cleveland Clinic, December, Fitness, Health, It, Mobile, Much, National Academy, PKC Corporation, Questions, Sharecare's Another extracted example is Sharecare → Atlanta, BACTES Imaging Solutions, BioLucid, DailyStrength, Discovery Communications, Feingold Technologies, Harpo Studios, Headquartered, Healthways, Jeff Arnold, Mehmet Oz, PKC Corporation, QualityHealth, RealAge, Remark Media, Sony Pictures Television, The Little Blue Book, WebMD, WisePatient. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
health realage information provides personalized company users test services data also inc platform knowledge american dental breach founded mehmet oz
TTTA extracted 87 structured relationships around Sharecare. Examples in this analysis include Sharecare → Divisions → Enterprise, Provider, Consumer Solutions and Sharecare → Founded → October 7, 2010; 15 years ago (2010-10-07). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Sharecare | Divisions | Enterprise, Provider, Consumer Solutions | 1.00 | infobox |
| Sharecare | Founded | October 7, 2010; 15 years ago (2010-10-07) | 1.00 | infobox |
| Sharecare | Founders | Jeff Arnold | 1.00 | infobox |
| Sharecare | Founders | Mehmet Oz | 1.00 | infobox |
| Sharecare | Headquarters | Atlanta, Georgia, United States | 1.00 | infobox |
| Sharecare | Industry | Digital health | 1.00 | infobox |
| Sharecare | Key people | Jeff Arnold (CEO) | 1.00 | infobox |
| Sharecare | Number of employees | 2,400 | 1.00 | infobox |
| Sharecare | Owner | Altaris (2024–present) | 1.00 | infobox |
| Sharecare | Type | Private | 1.00 | infobox |
| Sharecare | Website | www.sharecare.com | 1.00 | infobox |
| Sharecare | founded in | 2010 | 0.95 | text |
| Sharecare | founded by | Jeff Arnold | 0.90 | text |
The concept neighborhoods around Sharecare bring nearby vocabulary together. In this analysis, examples include Acquired, Announced and Com. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Sharecare, one of the stronger structural bridges in this analysis connects Sharecare with History. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Sharecare to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Sharecare · EN edition · Analysis: TopicsToTalkAbout