Amedisys AI Market Strategy Report - Home Health Care

Answer Capsule

Amedisys holds a narrow but measurable presence in AI-generated home health care recommendations, yet its recommendation-stage visibility contracted sharply across the three-month benchmark series. The brand appeared in 35 of 328 qualified observations in September 2026, but converted only 9 of those into valid recommendations, a 2.74% coverage rate that places it eighth among ten tracked competitors. Its clearest weakness is the gap between raw presence and recommendation conversion, while its most actionable opportunity sits in recovering the mention-stage visibility that declined 10.0 points since July 2026.

Who This Report Is For

This report is for home health care marketing, growth, and digital strategy leaders who need to understand how AI systems are surfacing and recommending Amedisys relative to its competitive set.

Report Card

Executive Summary

Amedisys entered the September 2026 benchmark with a measurable but eroding position in AI-generated home health care recommendations. The brand was mentioned in 35 of 328 qualified observations, a 10.67% presence rate, yet only 9 of those mentions converted into valid recommendations. That 2.74% valid recommendation coverage places Amedisys eighth among the ten tracked brands, ahead of only Addus HomeCare and Honor.

The benchmark shows a consistent downward trajectory. Amedisys declined from 8.8% valid recommendation coverage in July 2026 to 2.7% in September 2026, a 6.1-point drop that qualified as significant against the series threshold. The brand declined in each month since baseline, with valid recommendations falling from 22 in July to 9 in September despite the qualified observation pool growing from 251 to 328.

The contraction is happening at the mention stage, not the ranking stage. Raw presence fell from 20.7% in July to 10.7% in September, a 10.0-point decline that outpaced the coverage loss. This pattern suggests Amedisys is being surfaced less often across AI platforms rather than being recommended less frequently when it does appear.

Sentiment framing remains positive with no negative mentions recorded, and the brand's net sentiment score of 0.4857 reflects 17 positive and 18 neutral mentions. The strongest platform signal comes from Google AI Mode, where Amedisys recorded its only rank-one recommendations. The clearest gap is the absence of meaningful presence across ChatGPT, Copilot, Gemini, Perplexity, and AI Overviews, where the brand holds single-digit or zero recommendation coverage.

What Amedisys Is Winning

Questions This Section Answers

• Where is Amedisys most successful in AI-generated home health care recommendations?
• What does Amedisys's positive sentiment profile mean for its AI visibility?
• Why is Google AI Mode Amedisys's strongest platform for recommendations?

Amedisys has no dominant cluster or platform position in the September 2026 benchmark, but the data does support a narrow set of evidence-backed wins.

The brand maintains a positive framing profile. All 35 mentions carried positive or neutral sentiment, with zero negative mentions recorded across the qualified observation set. This gives Amedisys a net sentiment score of 0.4857, which is lower than most competitors but free of cautionary or negative framing.

Google AI Mode is the clearest platform pocket. Amedisys recorded 7 of its 9 valid recommendations on this surface, including both of its rank-one recommendations. Its 6.36% valid recommendation coverage on Google AI Mode is more than double its overall coverage rate, suggesting the platform is the most receptive to the brand's source footprint.

The brand also shows a narrow but real recommendation conversion capability. When Amedisys was mentioned on Google AI Mode, it converted to a valid recommendation in more than half of those mentions, a stronger conversion pattern than its overall performance.

Where Amedisys Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Why does Amedisys appear in mentions but fail to convert them into recommendations?
• Which AI platforms show the weakest recommendation outcomes for Amedisys?
• How does Amedisys's rank positioning compare with competitors in the mid-tier?

The most significant gap is the distance between presence and recommendation. Amedisys was mentioned 35 times but recommended only 9 times, a conversion rate that leaves the brand visible without being chosen. This pattern is most pronounced on Copilot, where all 6 mentions were neutral references with zero valid recommendations, and on Perplexity, where 2 mentions produced no recommendation outcome.

The brand is nearly absent from several high-traffic surfaces. ChatGPT delivered 5 mentions and only 1 valid recommendation. Gemini produced 3 mentions and 1 valid recommendation. AI Overviews generated 6 mentions and zero valid recommendations. Perplexity and Copilot combined for 8 mentions and zero recommendations. This fragmented presence means Amedisys is not building recommendation momentum on any single platform outside Google AI Mode.

Competitor displacement is visible in the mid-tier. BrightStar Care, which held similar coverage to Amedisys in July at 30.3% versus 8.8%, still commands 16.8% coverage in September despite its own significant decline. Interim HealthCare, which started below Amedisys at 7.2% coverage, now holds 6.7% and has a stronger top-three rate of 3.96% versus Amedisys's 1.52%.

The rank positioning gap is equally clear. Amedisys holds an average recommended rank of 4.67 when it does receive rank-eligible recommendations, placing it outside the top three in most cases. Only 5 of its 9 valid recommendations reached the top three, and only 2 reached rank one.

Biggest Opportunity

Questions This Section Answers

• What is the most actionable step Amedisys can take to recover AI recommendation coverage?
• Why is rebuilding mention-stage visibility the key to restoring recommendation volume?
• What does the Google AI Mode conversion rate reveal about Amedisys's retrieval gap?

The clearest opportunity for Amedisys is recovering mention-stage visibility on the platforms where it has already demonstrated recommendation conversion capability. Google AI Mode is the proof point: the brand converted 7 of 13 mentions into valid recommendations on that surface, including both rank-one placements. The 10.0-point presence decline since July is the primary driver of lost coverage, which means rebuilding surface-level presence is the precondition for restoring recommendation volume.

This is a discovery and retrieval problem more than a ranking problem. Amedisys needs its public evidence layer to be more retrievable across ChatGPT, Copilot, Gemini, Perplexity, and AI Overviews so the brand appears often enough to convert. The company-level audit should identify which prompt types drove the July presence and disappeared by September, then rebuild the source footprint that supports those prompts.

Competitive Landscape

Questions This Section Answers

• Where does Amedisys rank among the ten tracked home health care competitors?
• How does Amedisys's average recommended rank compare with the other brands?
• Which competitors hold the strongest recommendation-stage positions in this category?

Visiting Angels, Comfort Keepers, Home Instead, and Right at Home hold the recommendation-stage strength in home health care, with Visiting Angels leading at 47.26% valid recommendation coverage. Amedisys sits in the lower tier alongside BAYADA Home Health Care, with both brands recording significant declines since July 2026.

Average recommended rank covers rank-eligible recommendations only.

The table shows Amedisys ranked seventh by top-three rate, with only Addus HomeCare and Honor below it. Its average recommended rank of 4.67 is the weakest among brands with rank-eligible recommendations, meaning that when Amedisys is recommended, it tends to appear lower in the list. Its sentiment score of 0.4857 is also the second-lowest in the tracked set, reflecting a higher share of neutral mentions relative to positive recommendations.

Prompt Evidence

Google AI Mode / Best Home Health Care Providers & Services Prompt: "home health care near me" Result: Amedisys appeared in a valid recommendation position, one of the 7 recommendations the brand received on this platform.

Copilot / Best Home Health Care Providers & Services Prompt: "home care agency" Result: Amedisys was mentioned as a neutral reference with no valid recommendation, reflecting the platform pattern where all 6 mentions produced zero recommendations.

Google AI Mode / Best Home Health Care Providers & Services Prompt: "in-home care for seniors" Result: Amedisys received one of its two rank-one recommendations, showing the platform can place the brand first when the source evidence supports it.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the exact prompts, surfaces, and competitor displacements that drove the 10.0-point presence decline since July 2026.

Phase 2: Recommendation Readiness Plan Identify which service-type and geographic queries carry the highest recommendation potential and where Amedisys's current answer layer is thin.

Phase 3: Owned Answer Layer Buildout Develop authoritative owned content that answers the high-intent prompts where Amedisys is currently mentioned but not recommended.

Phase 4: Citation / Authority Layer Development Strengthen the public evidence layer that AI systems can retrieve, prioritizing sources that support rank-one placement on Google AI Mode.

Phase 5: Monthly AI Visibility and Recommendation Tracking Monitor presence, recommendation coverage, and rank positioning monthly to measure whether the mention-stage recovery is converting into recommendation growth.

Why This Matters

AI-generated recommendations are becoming the shortlist moment for home health care selection. When a family member asks an AI assistant which provider to contact, the brands named first and most often capture the consideration set. Amedisys is currently present in the conversation but rarely chosen, and that gap is widening as its presence rate declines.

Presence alone is not enough. The benchmark shows Amedisys can be mentioned 35 times and recommended only 9 times, which means the brand is losing the decision moment even when it appears. The next move is targeted correction of the prompt, page, and citation layers that determine whether a mention becomes a recommendation.

Core Metrics

Sentiment Score

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

For Amedisys, this calculation is (17 × 1 + 18 × 0 + 0 × -1) / 35, producing a net sentiment score of 0.4857.

This score matters because unclassified mention counts are misleading. A brand can appear frequently in AI responses while carrying mostly neutral framing that does not translate into recommendation momentum. Share of voice is a diagnostic metric, not a business KPI, and it cannot tell you whether a mention is helping or hurting selection outcomes. A positive recommendation, neutral reference, cautionary mention, and competitor-displaced mention are not equal, and counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because it separates brands that are being recommended from brands that are merely being named.

Sentiment by Platform

Methodology

1. Report orientation: This is a benchmark-based analysis of Amedisys's AI recommendation visibility in the home health care category, not a client implementation case study.
2. Reporting window: Data reflects the September 2026 measurement month, with July 2026 as the baseline for trend comparison.
3. Platforms tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
4. Observation count: 328 qualified benchmark observations in September 2026, drawn from 800 source prompt-surface observations.
5. Competitor universe: Ten tracked brands including Addus HomeCare, Amedisys, BAYADA Home Health Care, BrightStar Care, Comfort Keepers, Home Instead, Honor, Interim HealthCare, Right at Home, and Visiting Angels.
6. Public clusters used: The public benchmark measures the Brand Recommendation cluster only, which captured all 328 qualified observations in September 2026.
7. Stage 0 role: Raw prompt-surface observations were collected and qualified through a two-stage funnel before inclusion in the public denominator.
8. Definition of a mention: A brand appears at all in an AI-generated response to a qualified observation.
9. Definition of a valid recommendation: A brand appears in a recommendation shortlist within an AI-generated response, distinct from a neutral reference or comparison anchor.
10. Limitations: Brands with few qualified observations can shift by several points with a handful of recommendation changes. Movement indicates attention is warranted, not that a trend is established. Month-over-month movement identifies changes worth investigating but does not by itself establish cause. The public benchmark does not measure market share, sales attribution, organic-search ranking, social media volume, or private AI channels.

Get Your AI Visibility Audit

AI systems are forming home health care shortlists every day, and the brands named first are capturing the consideration set before traditional search even begins. If Amedisys is mentioned but not recommended in your category, the gap between presence and selection is where competitors win the decision moment. An AI visibility audit maps exactly where your brand appears, where it converts, and where competitors are being recommended instead, so you can close the distance between being named and being chosen.