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social determinants of health data sources

Analyzed across ChatGPT, Perplexity & Google AIO
Analyzed 11/15/2025

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Brand Performance Across AI Platforms
All 10 brands referenced across AI platforms for this prompt
CDC
9
5
Sentiment:
Score:95
PolicyMap
5
2
Sentiment:
Score:75
AHRQ
5
1
Sentiment:
Score:72
4WHO
1
1
Sentiment:
Score:62
5American Community Survey
2
0
Sentiment:
Score:61
Referenced Domains Analysis
All 10 domains referenced across AI platforms for this prompt
ChatGPT
Perplexity
Google AIO
#1cdc.gov faviconcdc.gov
ChatGPT:
3
Perplexity:
1
Google AIO:
0
4
#2policymap.com faviconpolicymap.com
ChatGPT:
1
Perplexity:
1
Google AIO:
0
2
#3who.int faviconwho.int
ChatGPT:
0
Perplexity:
1
Google AIO:
0
1
#4ahrq.gov faviconahrq.gov
ChatGPT:
1
Perplexity:
0
Google AIO:
0
1
#5data.cms.gov favicondata.cms.gov
ChatGPT:
1
Perplexity:
0
Google AIO:
0
1

AI Search Engine Responses

Compare how different AI search engines respond to this query

ChatGPT

2935 Characters

BRAND (11)

精选行业Query
CDC
nih
WHO
American Community Survey
FACETS
AHRQ
Healthy People 2030
PolicyMap
Office of Minority Health
All of Us Research Program

SUMMARY

ChatGPT provides a structured educational overview of social determinants of health data sources, beginning with a clear definition from the CDC and focusing on specific government resources. The response emphasizes the American Community Survey as a primary data source and highlights how the CDC utilizes this data to estimate various SDOH measures including housing costs, unemployment, and poverty rates.

Perplexity

2566 Characters

BRAND (11)

精选行业Query
CDC
nih
WHO
American Community Survey
FACETS
AHRQ
Healthy People 2030
PolicyMap
Office of Minority Health
All of Us Research Program

SUMMARY

Perplexity offers a comprehensive analysis of SDOH data sources, categorizing them into traditional healthcare data and community-level publicly available datasets. The response emphasizes the limitations of Electronic Health Records in capturing broader social factors and highlights the importance of geographic-level data for identifying neighborhood disparities and health outcomes.

Google AIO

0 Characters

BRAND (11)

精选行业Query
CDC
nih
WHO
American Community Survey
FACETS
AHRQ
Healthy People 2030
PolicyMap
Office of Minority Health
All of Us Research Program

SUMMARY

No summary available.

Strategic Insights & Recommendations

Dominant Brand

CDC emerges as the most prominently featured organization with 9 mentions in ChatGPT's response, establishing it as a key authority in SDOH data.

Platform Gap

ChatGPT focuses on government data sources while Perplexity emphasizes the broader ecosystem including healthcare records, with Google AIO providing no response.

Link Opportunity

There's significant opportunity to provide comprehensive resource lists and direct links to SDOH databases given the technical nature of this query.

Key Takeaways for This Prompt

Government agencies like CDC and census data sources are fundamental to SDOH research and policy development.

Electronic Health Records capture limited SDOH information compared to community-level geographic datasets.

Geographic aggregation at zip code and census tract levels is crucial for identifying health disparities.

Multiple data source types are needed to comprehensively understand social determinants affecting health outcomes.

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