CiteWorks Studio

Pegasus Senior Living AI Market Strategy Report - Assisted Living Facilities

Mark HuntleyBy Mark HuntleyFounder and CEO
9 minutes read

Key Takeaways

  • Pegasus Senior Living earned valid recommendation coverage of 2.56% from a 4.49% raw mention presence rate in September 2026.
  • Its strongest performance came from Google AI Mode, which accounted for all four valid recommendations and its highest rank placements.
  • The brand posted the best average recommended rank in the category at 1.75, showing strong placement quality when recommended.
  • The main gap is limited presence across ChatGPT, Perplexity, and AI Overviews, where competitors capture more assisted living discovery queries.

Answer Capsule

Pegasus Senior Living holds a narrow but real recommendation position in the assisted living facilities category, with valid recommendation coverage of 2.56% in September 2026. The brand appears in AI answers at a modest rate of 4.49%, yet converts a meaningful share of those appearances into recommendations, including a rank-one rate of 0.64%. Its clearest strength is recommendation efficiency when present, while its clearest weakness is the absence of presence across most major AI platforms. The clearest opportunity is expanding from its current concentration in Google AI Mode into additional surfaces where assisted living recommendations are formed.

Who This Report Is For

This report is for senior living marketing, digital strategy, and corporate communications leaders who need to understand where Pegasus Senior Living is being recommended by AI systems and where it is being displaced by competitors.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

Pegasus Senior Living

Category / market studied

Assisted Living Facilities

Reporting month

September 2026

AI platforms tracked

6 (ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, AI Mode)

Public high-intent clusters

1

AI observations analyzed

156

Competitors tracked

10

Executive Summary

Pegasus Senior Living operates with a small but efficient recommendation footprint in the assisted living facilities category. The benchmark shows the brand appearing in 4.49% of qualified observations and receiving valid recommendation credit in 2.56% of them. That conversion pattern, where roughly half of all mentions become recommendations, is stronger than several larger competitors that appear more often but convert less efficiently.

The brand recorded 7 total mentions in September 2026, split across 5 positive and 2 neutral observations, with no negative framing detected. Its net sentiment score of 0.7143 is among the highest in the category, trailing only Brookdale Senior Living and Belmont Village. The strongest cluster is the discovery and evaluation space, which is the only cluster where the public benchmark recorded qualified observations.

Pegasus Senior Living's strongest platform signal comes from Google AI Mode, where it holds a valid recommendation coverage of 8.89% and a rank-one rate of 2.22%. The clearest platform gap is the absence of meaningful presence on ChatGPT, Perplexity, and AI Overviews, where the brand either does not appear or appears without recommendation weight.

The brand's average recommended rank of 1.75 is the best in the category among brands with rank-eligible recommendations, indicating that when Pegasus is recommended, it tends to appear near the top of the list rather than as an also-ran.

What Pegasus Senior Living Is Winning

Pegasus Senior Living's clearest win is recommendation efficiency. The brand converts 4.49% raw mention presence into 2.56% valid recommendation coverage, a conversion ratio that outperforms several larger competitors. Life Care Services (LCS), by contrast, holds 17.31% presence but converts that into only 0.64% coverage, showing that presence alone does not drive recommendations.

The brand's average recommended rank of 1.75 is the strongest in the category among brands with rank-eligible recommendations. This means that when Pegasus appears in a recommendation shortlist, it tends to be placed prominently rather than buried at the bottom.

Pegasus Senior Living also holds a net sentiment score of 0.7143, with no negative mentions recorded. The brand's positive framing in AI answers is a meaningful asset, particularly in a category where several competitors carry neutral-heavy mention profiles.

Where Pegasus Senior Living Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Which AI platform represents Pegasus Senior Living's most significant visibility gap?
  • How does Pegasus Senior Living's raw presence compare with category leaders like Brookdale Senior Living?

The most significant gap is platform concentration. Pegasus Senior Living's recommendation presence is heavily concentrated in Google AI Mode, where it holds 4 of its 4 total valid recommendations. The brand has no valid recommendations on ChatGPT, Copilot, Gemini, Perplexity, or AI Overviews, despite those surfaces accounting for the majority of qualified observations in the benchmark.

ChatGPT represents a particularly notable gap. The platform accounted for 21 qualified observations in September 2026, yet Pegasus Senior Living recorded zero mentions on that surface. Competitors including Brookdale Senior Living, Sunrise Senior Living, and Erickson Senior Living all hold recommendation positions on ChatGPT, giving them access to buyers who use that platform for assisted living discovery.

The brand's raw presence is also thin relative to the category leaders. Brookdale Senior Living appears in 64.1% of qualified observations, Sunrise Senior Living in 38.5%, and Atria Senior Living in 30.1%. Pegasus Senior Living's 4.49% presence rate places it in the lower tier of the tracked universe, ahead of only Sonida Senior Living, Five Star Senior Living, and Holiday Retirement.

Biggest Opportunity

The clearest opportunity for Pegasus Senior Living is expanding its Google AI Mode recommendation strength into additional AI surfaces, particularly ChatGPT and AI Overviews. The brand has demonstrated that it can earn top placement when recommended, with an average recommended rank of 1.75 and a rank-one rate of 0.64%. The challenge is not recommendation quality but recommendation breadth.

The brand's 4 valid recommendations all come from Google AI Mode, where it holds a valid recommendation coverage of 8.89%. If Pegasus can replicate even a portion of that performance on ChatGPT and AI Overviews, where assisted living buyers frequently seek recommendations, it would meaningfully expand its total recommendation footprint without requiring a dramatic increase in raw mention presence.

Competitive Landscape

Brookdale Senior Living, Sunrise Senior Living, and Atria Senior Living hold the strongest recommendation-stage positions in the assisted living facilities category. Pegasus Senior Living sits in the lower tier by coverage but demonstrates stronger recommendation efficiency than several brands with larger presence.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Brookdale Senior Living

12.82%

5.77%

2.54

0.79

Sunrise Senior Living

10.90%

4.49%

2.00

0.52

Atria Senior Living

8.97%

3.21%

2.18

0.47

Belmont Village

8.33%

4.49%

2.13

0.75

Erickson Senior Living

5.77%

3.85%

2.00

0.56

Pegasus Senior Living

2.56%

0.64%

1.75

0.71

Sonida Senior Living

0.64%

0.00%

4.50

0.60

Five Star Senior Living

0.64%

0.00%

2.00

0.25

Holiday Retirement

0.64%

0.00%

3.00

0.25

Life Care Services (LCS)

0.64%

0.00%

3.00

0.41

Average recommended rank covers rank-eligible recommendations only.

Pegasus Senior Living holds the best average recommended rank in the category at 1.75, ahead of Brookdale Senior Living at 2.54 and Sunrise Senior Living at 2.00. The brand's top-three rate of 2.56% and rank-one rate of 0.64% trail the category leaders by a wide margin, reflecting its limited presence rather than weak placement quality.

Prompt Evidence

Google AI Mode / Brand Recommendation Prompt: "assisted living facilities near me" Result: Pegasus Senior Living appeared in a recommendation shortlist with a rank-one placement, contributing to its 2.22% rank-one rate on this platform.

Google AI Mode / Brand Recommendation Prompt: "senior assisted living" Result: Pegasus Senior Living was recommended within the top three, supporting its 8.89% top-three rate on Google AI Mode.

ChatGPT / Brand Recommendation Prompt: "senior living communities near me" Result: Pegasus Senior Living did not appear in the response, reflecting its zero-mention presence on ChatGPT in September 2026.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the specific prompt themes and query patterns where Pegasus Senior Living earns recommendations on Google AI Mode, and identify which high-intent queries on ChatGPT and AI Overviews currently return competitor names instead.

Phase 2: Recommendation Readiness Plan Strengthen the owned content layer so that Pegasus Senior Living's communities, care services, and differentiators are clearly represented in formats that AI systems can retrieve and synthesize.

Phase 3: Owned Answer Layer Buildout Develop comparison-ready and discovery-oriented pages that position Pegasus Senior Living as a recommended option for assisted living and memory care queries, mirroring the content patterns that earn category leaders their recommendation positions.

Phase 4: Citation / Authority Layer Development Build the external citation footprint that supports recommendation eligibility, focusing on the source types that AI systems appear to draw from when constructing assisted living shortlists.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Pegasus Senior Living's presence and recommendation coverage across all six AI surfaces monthly, with particular attention to whether Google AI Mode strength extends to ChatGPT and AI Overviews.

Why This Matters

AI-generated recommendations are becoming the first filter in assisted living selection. When a family member asks an AI assistant for the best assisted living facilities, the brands that appear in that answer hold a decisive advantage in the consideration set. Pegasus Senior Living currently earns that advantage in a narrow set of contexts on Google AI Mode, but it is absent from most other surfaces where those same questions are being asked.

Presence alone is not enough. The benchmark shows that Life Care Services (LCS) appears in 17.31% of observations but converts that presence into only 0.64% recommendation coverage. Pegasus Senior Living's challenge is the inverse: it converts efficiently when present, but it is not present often enough. The next move is expanding the brand's recommendation footprint into the platforms and prompt contexts where assisted living buyers are actively seeking options.

Core Metrics

Metric

Value

Mentions

7

Valid recommendations

4

Top 3 recommendation count

4

Rank #1 recommendation count

1

Average recommended rank

1.75

Positive mentions

5

Neutral mentions

2

Negative mentions

0

Raw mention presence rate

4.49%

Valid recommendation coverage

2.56%

Top 3 recommendation rate

2.56%

Rank #1 recommendation rate

0.64%

Net sentiment score

0.7143

Strongest cluster by recommendation behavior

Best Assisted Living Facilities: Discovery and Evaluation

Strongest platform by recommendation behavior

Google AI Mode

Sentiment Score

Sentiment Score = (positive mentions × 1 + neutral mentions × 0 + negative mentions × -1) / total mentions

For Pegasus Senior Living, the calculation is (5 × 1 + 2 × 0 + 0 × -1) / 7, producing a net sentiment score of 0.7143.

This score matters because unclassified mention counts are misleading. A brand can appear frequently in AI answers while being framed neutrally or negatively, and that framing affects whether the appearance translates into buyer consideration. Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, a neutral reference, and a competitor-displaced mention are not equal outcomes, and counting all mentions as wins produces a distorted view of recommendation health. Classified sentiment is required before interpreting AI visibility, because the same mention count can reflect very different competitive positions depending on how the brand is framed.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

0

0

0

0

N/A

No public presence in this packet

Copilot

1

0

1

0

0.00

Present as context, not recommendation

Gemini

1

1

0

0

1.00

Positive, but sample too small

Perplexity

0

0

0

0

N/A

No public presence in this packet

Google AI Mode

5

4

1

0

0.80

Strongest public recommendation signal

Google AI Overviews

0

0

0

0

N/A

No public presence in this packet

Methodology

  1. Report orientation: This is a benchmark-based analysis of Pegasus Senior Living's AI recommendation visibility in the assisted living facilities category, derived from the LLM Authority Index AI Market Discovery Index. It is not a client implementation case study.
  2. Reporting window: The analysis covers September 2026, with comparison to July 2026 and August 2026 where the public benchmark provides historical context.
  3. Platforms tracked: Six canonical AI and search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
  4. Observation count: The public benchmark retained 156 qualified observations in September 2026, drawn from 687 total prompt-surface observations and 460 unique questions.
  5. Competitor universe: Ten tracked brands were analyzed: Atria Senior Living, Belmont Village, Brookdale Senior Living, Erickson Senior Living, Five Star Senior Living, Holiday Retirement, Life Care Services (LCS), Pegasus Senior Living, Sonida Senior Living, and Sunrise Senior Living.
  6. Public clusters used: All qualified observations fell into the Brand Recommendation class, which captures discovery and consideration queries. No qualified observations were recorded for Pricing and Value or Multi-Brand Comparison classes.
  7. Stage 0 role: Raw prompt-surface observations were collected and qualified through a two-stage process. The public metrics use the 156 observations that survived both qualification stages as the denominator.
  8. Definition of a mention: A mention is any qualified observation where the brand appears in an AI response, regardless of whether the brand is recommended, referenced neutrally, or framed negatively.
  9. Definition of a valid recommendation: A valid recommendation is a qualified observation where the brand appears in a recommendation shortlist with positive framing and rank-eligible placement. Neutral references and comparison-anchor mentions are not counted as valid recommendations.
  10. Limitations: The public benchmark measures Brand Recommendation discovery only. It does not measure market share, attributable sales, every possible AI response, organic-search ranking, or social mention volume. Several brands in this category operate on very small absolute counts, and percentage movements for Pegasus Senior Living represent a handful of observations. The benchmark identifies where attention is warranted; it does not establish the cause of observed movements.

Get Your AI Visibility Audit

The public benchmark shows where Pegasus Senior Living is winning and losing recommendation coverage, but it does not show which specific prompts, competitors, and source patterns drive those outcomes. A company-level AI visibility audit maps those patterns into a prioritized strategy for expanding recommendation coverage across the platforms where assisted living buyers are asking questions.

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Understanding AI search visibility.

AI search experiences create answers by pulling information from many places online and summarizing it into a single response.

What Is AI Citation Intelligence?
AI citation intelligence is the process of measuring where AI platforms source their information and how frequently a brand is mentioned or referenced in AI-generated responses. Because LLMs synthesize across multiple sources, the sites and brands that appear repeatedly tend to influence how a topic or company is framed. This practice focuses on identifying which sources shape AI outputs and tracking brand visibility across different AI systems.
What Is Citation Architecture?
Citation architecture describes the set of sources that consistently inform how AI systems talk about a brand, product, or topic. LLMs draw from websites, articles, forums, and public discussion, and the sources they rely on most often become the backbone of their answers. Building strong citation architecture means ensuring that accurate, credible, high authority sources are the ones most likely to shape the way AI tools summarize and recommend a brand.
What Is Generative Engine Optimization?
Generative engine optimization (GEO) is the practice of improving the chances that AI systems use and cite your brand or content when generating answers. While traditional SEO is centered on ranking pages in search results, GEO focuses on how LLMs retrieve, interpret, and combine information when responding to a question. The objective is to strengthen the content and sources AI systems rely on, so your brand is treated as a trusted reference in AI responses.
What Is AI Share of Voice?
AI share of voice tracks how often a brand appears in AI-generated answers compared with competitors in the same category. It reflects visibility across AI platforms such as ChatGPT, Gemini, Claude, and Perplexity. Monitoring AI share of voice helps organizations see whether AI systems consistently include and recommend their brand for key queries or whether competitor brands are showing up more often.

About The Author

Mark Huntley

Mark Huntley

Founder and CEO

Mark Huntley, J.D. is founder of CiteWorks Studio, a strategic advisory focused on visibility, authority, and recommendation presence in AI-shaped search environments. His work centers on embedding-level GEO, vector optimization, and cosine gap engineering — helping brands align their digital presence with the retrieval systems that increasingly shape discovery, interpretation, and choice.

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