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Geneo
AI Visibility Report
12/15/2025
Live Analysis:
ChatGPT_

AI Visibility Report for
averagelengthofstaystatistics

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Brand Performance Across AI Platforms
All 9 brands referenced across AI platforms for this prompt
OECD
3
3
Sentiment:
Score:95
HCUP
3
3
Sentiment:
Score:95
AHRQ
3
3
Sentiment:
Score:95
4CDC
2
2
Sentiment:
Score:79
5Statista
1
2
Sentiment:
Score:71
Referenced Domains Analysis
All 14 domains referenced across AI platforms for this prompt
ChatGPT
Perplexity
Google AIO
#1oecd.org faviconoecd.org
ChatGPT:
1
Perplexity:
1
Google AIO:
1
3
#2hcup-us.ahrq.gov faviconhcup-us.ahrq.gov
ChatGPT:
1
Perplexity:
1
Google AIO:
1
3
#3pa.gov faviconpa.gov
ChatGPT:
0
Perplexity:
1
Google AIO:
1
2
#4nhwstat.org faviconnhwstat.org
ChatGPT:
0
Perplexity:
1
Google AIO:
1
2
#5statista.com faviconstatista.com
ChatGPT:
0
Perplexity:
1
Google AIO:
1
2

AI Search Engine Responses

Compare how different AI search engines respond to this query

ChatGPT

1438 Characters

BRAND (9)

CDC
Statista
American Hospital Association
Definitive Healthcare
Trella Health
OECD
HCUP
AHRQ
Evidence Care

SUMMARY

Provides a historical perspective on average length of stay (ALOS) in U.S. hospitals, showing trends from 1993 to 2022. Notes that ALOS decreased from 5.7 days in 1993 to 4.6 days in 2007, but increased by 19% by 2022 compared to 2019 levels. Mentions regional variations and factors like patient complexity affecting stay duration. Cites specific sources including HCUP and healthcare finance publications.

Perplexity

1630 Characters

BRAND (9)

CDC
Statista
American Hospital Association
Definitive Healthcare
Trella Health
OECD
HCUP
AHRQ
Evidence Care

SUMMARY

Offers a concise technical overview of hospital ALOS statistics, reporting current figures of 4.5-5.5 days in the U.S. Provides specific data points including AHRQ HCUP's 2016 mean of 4.6 days and Statista's 2022 figure of 5.2 days. Includes essential context about ALOS definition and calculation methods, emphasizing the exclusion of outpatient visits and different calculation approaches used by various sources.

Google AIO

1355 Characters

Strategic Insights & Recommendations

Dominant Brand

AHRQ and HCUP appear most frequently as authoritative sources for hospital length of stay statistics across platforms.

Platform Gap

ChatGPT focuses on historical trends, Perplexity emphasizes technical definitions, while Google AIO provides the most structured and comprehensive current analysis.

Link Opportunity

Healthcare data organizations like Statista, American Hospital Association, and CDC have opportunities to be cited more consistently across all platforms.

Key Takeaways for This Prompt

All platforms agree that current U.S. hospital ALOS ranges between 4.5-5.5 days with slight variations by source and methodology.

There's consensus that ALOS has increased since 2019, with ChatGPT citing a 19% increase by 2022.

AHRQ HCUP emerges as the most cited authoritative source for hospital length of stay data across platforms.

Platforms vary significantly in their approach: historical trends versus current statistics versus comprehensive factor analysis.

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