social determinants of health data sources
AI Search Visibility Analysis
Analyze how brands appear across multiple AI search platforms for a specific prompt
Total Mentions
Total number of times a brand appears
across all AI platforms for this prompt
Platform Presence
Number of AI platforms where the brand
was mentioned for this prompt
Linkbacks
Number of times brand website was
linked in AI responses
Sentiment
Overall emotional tone when brand is
mentioned (Positive/Neutral/Negative)
Brand Performance Across AI Platforms
| BRAND | TOTAL MENTIONS | PLATFORM PRESENCE | LINKBACKS | SENTIMENT | SCORE |
|---|---|---|---|---|---|
1CDC | 12 | 3 | 95 | ||
2AHRQ | 7 | 6 | 83 | ||
3U.S. Census Bureau | 3 | 0 | 75 | ||
4Datavant | 1 | 2 | 59 | ||
5LexisNexis | 1 | 1 | 57 | ||
6University of Michigan | 2 | 0 | 57 | ||
7Google | 1 | 0 | 55 |
Strategic Insights & Recommendations
Dominant Brand
The CDC and AHRQ emerge as the most frequently referenced organizations across all platforms, with their PLACES project and SDOH Database being consistently highlighted as primary resources.
Platform Gap
ChatGPT focuses on traditional federal data sources, Google AIO emphasizes emerging data types and analytical tools, while Perplexity provides the most structured technical overview with commercial data integration.
Link Opportunity
There's significant opportunity for linking to official government data portals, university research guides, and commercial SDOH data providers mentioned across all platforms.
Key Takeaways for This Prompt
Federal surveys like ACS and BRFSS form the foundation of SDOH data collection in the United States.
The AHRQ SDOH Database provides comprehensive data across five key domains with multiple geographic levels.
Commercial data sources like LexisNexis and Datavant offer enhanced integration capabilities with clinical data.
Emerging data sources including social media, GIS data, and machine learning tools are expanding SDOH research possibilities.
AI Search Engine Responses
Compare how different AI search engines respond to this query
ChatGPT
BRAND (4)
SUMMARY
ChatGPT provides a comprehensive overview of 8 key SDOH data sources in the US, including the American Community Survey (ACS), BRFSS, NHIS, AHRQ's SDOH Database, CDC's PLACES project, Social Vulnerability Index, Health and Retirement Study, and Panel Study of Income Dynamics. Each source is described with its managing organization, data collection methods, and specific SDOH variables covered, emphasizing their importance for research and policy development.
REFERENCES (6)
Perplexity
BRAND (5)
SUMMARY
Perplexity offers a structured analysis of SDOH data sources organized by type: federal surveys (ACS, MEPS, HCUP), AHRQ SDOH Database, commercial sources (LexisNexis, Datavant), and public health initiatives (CDC PLACES, Healthy People 2030). The response includes a detailed table format and emphasizes data integration, geographic granularity, and privacy considerations for real-world applications.
REFERENCES (8)
Google AIO
BRAND (5)
SUMMARY
Google AIO presents a categorized breakdown of SDOH data sources including government surveys (ACS, PLACES, NCHS), medical surveys (MEPS, NAMCS, NHAMCS), alternative data sources (GIS/GPS, Google Trends, social media), and analytical tools. The response emphasizes data integration platforms and machine learning applications for comprehensive SDOH analysis, highlighting the diversity of available data sources.
REFERENCES (21)
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