Rogers Behavioral Health AI Visibility Market Strategy Report - Eating Disorder Treatment Centers

Mark HuntleyBy Mark HuntleyFounder and CEO
12 minutes read

Key Takeaways

  • Rogers Behavioral Health increased valid recommendation coverage from 2.2% in July 2026 to 10.8% in October 2026.
  • The brand has the highest net sentiment score in the category at 0.875, with seven positive mentions and no negative mentions.
  • Despite stronger coverage, Rogers Behavioral Health appears in the top three in only 1.5% of qualified observations.
  • AI Overviews is the strongest platform for the brand, while AI Mode is weak and Copilot shows no qualified presence.

Answer Capsule

Rogers Behavioral Health holds 10.8% valid recommendation coverage in the October 2026 Eating Disorder Treatment Centers benchmark, ranking fourth of nine tracked brands. The brand recorded one of the largest coverage increases in the series, rising 8.6 points from 2.2% in July 2026, a move the benchmark classifies as significant. Its net sentiment score of 0.9 is the highest among tracked brands, and its presence converts into recommendations more efficiently than most competitors. The clearest gap is top-three placement: Rogers Behavioral Health appears in the top three in only 1.5% of qualified observations despite its strong sentiment profile.

Who This Report Is For

This report is for Rogers Behavioral Health marketing, communications, and executive teams evaluating how AI assistants recommend eating disorder treatment centers, and for category decision-makers comparing recommendation-stage visibility across the competitive set.

Report Card

Field

Value

Report type

AI Visibility Company Market Strategy Report

Target company

Rogers Behavioral Health

Category / market studied

Eating Disorder Treatment Centers

Reporting month

October 2026

AI platforms tracked

3 qualified surface families (Copilot, AI Mode, AI Overviews)

Public high-intent clusters

1 of 3 clusters with sufficient data

AI observations analyzed

65 qualified observations from 320 source prompt-surface observations

Competitors tracked

9

Executive Summary

Rogers Behavioral Health enters October 2026 with 10.8% valid recommendation coverage, placing it fourth among nine tracked eating disorder treatment center brands. The brand recorded 8 total mentions across 65 qualified observations, with 7 positive and 1 neutral, producing a net sentiment score of 0.875, the highest among all tracked brands. Its valid recommendation count reached 7, and its rank-one rate moved from 0.0% in July 2026 to 1.5% in October 2026.

The benchmark classifies Rogers Behavioral Health's coverage increase as significant. Its valid recommendation coverage rose from 2.2% in July 2026 to 10.8% in October 2026, an 8.6-point gain that represents a third consecutive monthly rise. This places the brand among three tracked companies that exceeded normal month-to-month variation from the July baseline, alongside Monte Nido and Center for Discovery.

The strongest signal for Rogers Behavioral Health is its sentiment profile. With 7 positive mentions out of 8 total, the brand achieves a net sentiment score of 0.875, well above The Emily Program at 0.4483 and Alsana at 0.6667. This suggests that when AI systems mention Rogers Behavioral Health, they frame it positively rather than as a neutral reference or comparison anchor.

The clearest gap is top-three placement. Despite 10.8% valid recommendation coverage, Rogers Behavioral Health records only a 1.5% top-three rate, meaning it appears among the top three recommended options in just 1 of 65 qualified observations. Its average recommended rank of 5.2 indicates that most of its recommendations land outside the top three positions. The brand is being recommended, but not at the prominence level that drives shortlist inclusion.

Platform analysis shows Rogers Behavioral Health's strongest recommendation signal on AI Overviews, where it achieved a 33.3% valid recommendation coverage rate and a 5.6% rank-one rate. On AI Mode, its coverage drops to 2.2% with no top-three placements. The brand recorded no presence on Copilot in the qualified observation set.

The category context matters here. The Emily Program leads at 18.5% coverage with a 7.7% rank-one rate, while Monte Nido holds 13.9% coverage but 0.0% rank-one rate. Rogers Behavioral Health sits in a middle tier where it is being recommended more often than most competitors but is not yet converting that recommendation coverage into first-position placements at scale.

What Rogers Behavioral Health Is Winning

Questions This Section Answers

  • How does Rogers Behavioral Health's sentiment score compare to other eating disorder treatment centers?
  • What drove the significant increase in Rogers Behavioral Health's recommendation coverage?
  • How strong is rogersbh.org as a cited source in AI responses about eating disorder treatment?

Rogers Behavioral Health holds the highest net sentiment score in the category at 0.875. Of its 8 total mentions in October 2026, 7 were positive and only 1 was neutral, with zero negative mentions. This framing quality exceeds every other tracked brand, including The Emily Program at 0.4483 and Alsana at 0.6667.

The brand recorded a significant coverage increase from the July 2026 baseline. Its valid recommendation coverage rose from 2.2% to 10.8%, an 8.6-point gain that the benchmark classifies as beyond normal month-to-month variation. This was also a third consecutive monthly rise, indicating sustained upward movement rather than a single-month anomaly.

Rogers Behavioral Health achieved a rank-one placement in October 2026, moving from 0.0% in July 2026 to 1.5%. While this represents only 1 of 65 qualified observations, it marks the brand's first appearance in the top recommendation position within the tracked series.

The brand's domain, rogersbh.org, ranks second among the top 10 cited domains in AI responses about eating disorder treatment centers, with 118 citations representing 5.3% of all citations. This domain was cited across all six canonical AI surface families: ChatGPT, Copilot, Gemini, AI Mode, AI Overviews, and Perplexity. This citation footprint suggests the brand's owned content is part of the public evidence layer that AI systems retrieve and synthesize.

Where Rogers Behavioral Health Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Why does Rogers Behavioral Health's top-three placement rate lag behind competitors with similar coverage?
  • Which AI platforms show the weakest recommendation signal for Rogers Behavioral Health?
  • How does Rogers Behavioral Health's presence rate compare to category leaders like Monte Nido?

The primary gap is top-three placement. Rogers Behavioral Health records a 1.5% top-three rate despite 10.8% valid recommendation coverage. This means the brand is being recommended in 7 of 65 qualified observations but appears among the top three options in only 1. Its average recommended rank of 5.2 confirms that most recommendations land in lower positions. By comparison, Alsana achieves a 12.3% top-three rate with similar coverage, and The Emily Program reaches 10.8% top-three placement.

Platform concentration is a second gap. Rogers Behavioral Health's recommendation signal is heavily concentrated on AI Overviews, where it achieved 33.3% valid recommendation coverage. On AI Mode, its coverage drops to 2.2%, and it recorded no qualified presence on Copilot. The brand's visibility is not evenly distributed across the AI surfaces where prospective patients and their families may be searching.

Presence rate remains modest at 12.3%, meaning Rogers Behavioral Health appears in only 8 of 65 qualified observations. Monte Nido, by contrast, appears in 58.5% of observations, and The Emily Program in 44.6%. While raw presence is not the same as recommendation, the brand's relatively low presence rate limits the number of opportunities it has to convert mentions into recommendations.

The brand recorded no top-three placements on AI Mode and no presence on Copilot. As AI Mode and Copilot continue to grow as discovery surfaces, this platform gap represents a structural risk to recommendation coverage.

Biggest Opportunity

Questions This Section Answers

  • What is the primary opportunity for Rogers Behavioral Health to improve its AI recommendation placement?
  • What specific evidence or framing could move Rogers Behavioral Health's recommendations into the top three?

The clearest opportunity for Rogers Behavioral Health is converting its strong sentiment profile into top-three placements. The brand already achieves the highest net sentiment score in the category at 0.875, meaning AI systems frame it positively when they mention it. The gap is positional: recommendations exist but land at an average rank of 5.2 rather than in the top three.

Closing this gap requires understanding which prompts produce recommendations that place Rogers Behavioral Health in lower positions and what evidence or framing would move those recommendations higher. The brand's rogersbh.org domain already ranks second among cited sources, suggesting the owned content layer is strong. The opportunity lies in the prompt and citation layers: ensuring that high-intent prompts about eating disorder treatment options surface content that positions Rogers Behavioral Health as a leading choice rather than one option among many.

Competitive Landscape

Questions This Section Answers

  • Who leads the eating disorder treatment center category in AI recommendation visibility?
  • How does Rogers Behavioral Health's top-three rate compare to other tracked brands?
  • Which competitors have the highest rank-one placement rates in the category?

The Emily Program holds the strongest recommendation-stage position in the October 2026 benchmark, with Monte Nido and Alsana following. Rogers Behavioral Health ranks fourth by valid recommendation coverage but holds the highest sentiment score in the tracked set.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Alsana

12.31%

1.54%

2.25

0.6667

The Emily Program

10.77%

7.69%

3.3

0.4483

ERC Pathlight

6.15%

3.08%

1.5

0.25

Monte Nido

4.62%

0.00%

4.75

0.2368

Rogers Behavioral Health

1.54%

1.54%

5.2

0.875

The Renfrew Center

1.54%

0.00%

5.8

0.4545

Center for Discovery

1.54%

0.00%

6

0.3333

Walden Behavioral Care

0.00%

0.00%

7.33

0.75

Veritas Collaborative

0.00%

0.00%

N/A

0.0

Average recommended rank covers rank-eligible recommendations only.

Rogers Behavioral Health's 1.54% top-three rate places it in a cluster with The Renfrew Center and Center for Discovery, well below the category leaders. Its rank-one rate of 1.54% matches its top-three rate, indicating that when it does reach the top three, it tends to land in first position. The brand's sentiment score of 0.875 is the highest in the table, suggesting that framing quality is not the constraint on its recommendation placement.

Prompt Evidence

AI Overviews / Brand Recommendation Prompt: "arfid diagnosis" Result: Rogers Behavioral Health received a valid recommendation with positive sentiment, contributing to its 33.3% coverage rate on this platform.

AI Mode / Brand Recommendation Prompt: "types of eating disorders" Result: Rogers Behavioral Health was mentioned but did not receive a top-three placement, consistent with its 2.2% coverage rate on AI Mode.

AI Overviews / Brand Recommendation Prompt: "eating disorder test" Result: The brand appeared in a recommendation context with positive framing, one of 6 valid recommendations recorded on AI Overviews.

Cross-platform / Brand Recommendation Prompt: "arfid support" Result: Rogers Behavioral Health was surfaced in the qualified observation set, contributing to its 12.3% presence rate but not converting to a top-three placement.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map the specific prompts and surfaces where Rogers Behavioral Health receives recommendations but lands outside the top three, and identify which competitors capture the higher positions.

Phase 2: Recommendation Readiness Plan Prioritize the prompt clusters and platform gaps where the brand's strong sentiment profile can be converted into top-three placements, focusing on AI Mode and Copilot where presence is weakest.

Phase 3: Owned Answer Layer Buildout Strengthen the rogersbh.org content layer to ensure that high-intent prompts about eating disorder treatment options surface content that positions the brand as a leading recommendation rather than one option among many.

Phase 4: Citation / Authority Layer Development Expand the brand's citation footprint beyond its current strong position on rogersbh.org to include third-party sources, clinical references, and comparison contexts that AI systems retrieve when forming recommendations.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track recommendation coverage, top-three rate, and rank-one rate month over month to measure whether the brand is closing the positional gap with category leaders.

Why This Matters

AI presence alone is not enough. Rogers Behavioral Health demonstrates this clearly: the brand holds the highest sentiment score in the category and recorded a significant coverage increase, yet its top-three placement rate remains at 1.5%. Being mentioned positively is not the same as being recommended prominently. When a prospective patient or family member asks an AI assistant for eating disorder treatment options, the brands that appear in the top three positions capture the shortlist. Brands that appear in lower positions or as neutral references do not.

The next move for Rogers Behavioral Health is targeted correction of the prompt, page, and citation layers that determine recommendation placement. The brand's owned domain already ranks second among cited sources, and its sentiment profile is the strongest in the category. The gap is positional: converting positive mentions into top-three recommendations requires understanding which prompts produce lower-ranked placements and what evidence or framing would move those recommendations higher.

Core Metrics

Metric

Value

Mentions

8

Valid recommendations

7

Top 3 recommendation count

1

Rank #1 recommendation count

1

Average recommended rank

5.2

Positive mentions

7

Neutral mentions

1

Negative mentions

0

Raw mention presence rate

12.31%

Valid recommendation coverage

10.77%

Top 3 recommendation rate

1.54%

Rank #1 recommendation rate

1.54%

Net sentiment score

0.875

Strongest cluster by recommendation behavior

Best Eating Disorder Treatment Centers (C01)

Strongest platform by recommendation behavior

AI Overviews

Sentiment Score

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

For Rogers Behavioral Health in October 2026: (7 × 1 + 1 × 0 + 0 × -1) / 8 = 0.875

This score matters because unclassified mention counts are misleading. A brand that appears frequently but is framed neutrally or negatively is not in the same position as a brand that appears less often but is consistently recommended. Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not equal.

Rogers Behavioral Health's sentiment score of 0.875 indicates that when AI systems mention the brand, they frame it positively. This is a strength. However, sentiment alone does not determine recommendation placement. The brand's top-three rate of 1.5% shows that positive framing is not automatically converting into prominent recommendation positions. Counting all mentions as wins would obscure this distinction. Classified sentiment is required before interpreting AI visibility, and in this case, it reveals that the brand's constraint is positional rather than reputational.

Sentiment by Platform

Questions This Section Answers

  • How does Rogers Behavioral Health's sentiment score vary across AI platforms?
  • Which platform shows the strongest recommendation signal for Rogers Behavioral Health?

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

AI Overviews

6

6

0

0

1.0

Strongest public recommendation signal

AI Mode

2

1

1

0

0.5

Present, but not recommendation-led

Copilot

0

0

0

0

N/A

No public presence in this packet

Methodology

  1. This report is a benchmark-based analysis of Rogers Behavioral Health's AI recommendation visibility in the Eating Disorder Treatment Centers category for October 2026. It is not a client implementation case study.
  2. The reporting window is October 2026, with comparison data from July 2026, August 2026, and September 2026 where available.
  3. AI platforms tracked in the qualified observation set include Copilot, AI Mode, and AI Overviews. The benchmark's canonical surface families also include ChatGPT, Gemini, and Perplexity, but qualified observations in October 2026 were concentrated on the three surfaces listed.
  4. The October 2026 benchmark began with 320 source prompt-surface observations and 246 unique questions. After qualification stages, 65 observations remained in the public denominator.
  5. The competitor universe includes nine tracked brands: Alsana, Center for Discovery, ERC Pathlight, Monte Nido, Rogers Behavioral Health, The Emily Program, The Renfrew Center, Veritas Collaborative, and Walden Behavioral Care.
  6. Public clusters used in this report include the Brand Recommendation cluster (C01: Best Eating Disorder Treatment Centers). The Pricing & Value and Multi-Brand Comparison clusters recorded no qualified observations in any tracked month.
  7. Stage 0 extraction retains the query, AI surface, answer, brand outcome, recommendation placement, sentiment, and where exposed, citations or attributable evidence sources.
  8. A mention is defined as any appearance of the brand in a qualified observation, regardless of recommendation status or sentiment.
  9. A valid recommendation is defined as a positive recommendation with rank 1-10 credit. Neutral references, cautionary mentions, and comparison anchors are not counted as valid recommendations unless the dataset explicitly marks them as such.
  10. Brand-level percentages use the 65 qualified observations as the public denominator, not the raw collection of 320 prompt-surface observations.
  11. The benchmark's third qualified surface changed from Gemini in August and September 2026 to Copilot in October 2026. Surface-mix changes can shift which brands receive recommendations without any change in brand behavior.
  12. Limitations: The October 2026 qualified set is 65 observations, down from 91 in July 2026. Brand-level percentages rest on small absolute counts, so single-prompt shifts can move percentages by several points. Movement between months identifies changes worth investigating; it does not establish cause.

See How AI Is Recommending Your Brand

The public benchmark shows where Rogers Behavioral Health stands in AI-generated recommendations for eating disorder treatment centers. A company-level AI visibility audit can map the specific prompts, surfaces, and citation patterns that determine whether the brand appears in the top three recommendations or lands in lower positions. Request an AI visibility audit to see where your brand is being recommended, which competitors are capturing the top positions, and what evidence would move your brand higher in AI-generated shortlists.

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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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