The Emily Program AI Visibility Market Strategy Report - Eating Disorder Treatment Centers

Answer Capsule

The Emily Program leads the Eating Disorder Treatment Centers category in October 2026 with 18.46% valid recommendation coverage across 65 qualified AI observations. The brand holds the strongest rank-one position in the tracked set at 7.69%, converting more first-place recommendations than any competitor. Its clearest weakness is that Monte Nido appears in 58.5% of qualified observations while The Emily Program appears in 44.62%, meaning a competitor is surfaced more often even though it converts less often. The clearest opportunity is to close the presence gap on AI Mode, the platform carrying the largest qualified observation base, where recommendation-shaped answers continue to grow as a share of the category.

Who This Report Is For

This report is for The Emily Program's marketing, admissions, and executive leadership teams, and for anyone responsible for how the treatment center appears in AI-generated recommendations at the moment prospective patients and families begin their search.

Report Card

Executive Summary

The Emily Program holds the strongest recommendation position in the Eating Disorder Treatment Centers category for October 2026. The brand recorded 18.46% valid recommendation coverage across 65 qualified observations, ahead of Monte Nido at 13.9% and Alsana at 12.3%. The gap from first to second is 4.6 points, and the gap from first to third is 6.2 points.

The brand's placement profile is the strongest in the tracked set. The Emily Program recorded a 10.77% top-three rate and a 7.69% rank-one rate, meaning it appears in the top three in roughly one of every nine qualified observations and is recommended first in roughly one of every thirteen. No other tracked brand converted coverage into first-position placements at that rate. Alsana recorded a comparable 12.31% top-three rate but only a 1.54% rank-one rate, and Monte Nido recorded a 4.62% top-three rate with no rank-one placements at all.

The brand's sentiment profile is positive. Of 29 total mentions, 13 were positive, 16 were neutral, and none were negative, producing a net sentiment score of 0.4483. That places The Emily Program third among tracked brands on framing quality, behind Rogers Behavioral Health at 0.875 and Alsana at 0.6667, but with a substantially larger mention base than either.

The clearest gap is presence. Monte Nido was surfaced in 58.5% of qualified October observations, 13.9 points higher than The Emily Program's 44.62% presence rate. Monte Nido converted that presence into only 9 valid recommendations at an average recommended rank of 4.75, while The Emily Program converted 12 valid recommendations at an average rank of 3.3. The two brands are no longer tracking together on visibility and recommendation, and The Emily Program leads on the measure that matters more at the decision moment.

The strongest platform signal for The Emily Program is AI Overviews. On that surface, the brand recorded a 33.3% valid recommendation coverage rate and a 16.7% rank-one rate across 18 qualified observations, with a net sentiment score of 1.0. On AI Mode, coverage was 13.0% with a 4.3% rank-one rate across 46 qualified observations. The brand recorded no qualified recommendation activity on Copilot, which contributed only one qualified observation in October 2026.

The clearest platform gap is the concentration of the brand's recommendation strength in AI Overviews, a surface with a smaller qualified observation base. AI Mode carries the largest qualified observation count at 46 and is where The Emily Program's coverage is comparatively thinner. The category-level shift toward recommendation-shaped answers, which rose from 6.6% of qualified observations in July 2026 to 10.8% in October 2026, means the surface mix will matter more as the benchmark series continues.

What The Emily Program Is Winning

The Emily Program holds the category lead on valid recommendation coverage at 18.46%, the highest reading among nine tracked brands in October 2026. The brand also holds the category lead on rank-one placement at 7.69%, more than double the next-closest brand. ERC Pathlight recorded a 3.08% rank-one rate, Alsana recorded 1.54%, and Rogers Behavioral Health recorded 1.54%.

The brand's top-three rate of 10.77% is the second-highest in the tracked set, behind Alsana's 12.31%. Unlike Alsana, The Emily Program converts that top-three presence into first-position recommendations at a materially higher rate, which indicates that when the brand enters the shortlist, it frequently leads it.

The Emily Program recorded zero negative mentions across 29 total mentions in October 2026. Its 13 positive mentions were the highest positive count among tracked brands, and its net sentiment score of 0.4483 reflects a framing profile that is positive or neutral without cautionary language.

The brand's strongest platform is AI Overviews, where it recorded a 33.3% valid recommendation coverage rate, a 16.7% rank-one rate, and a net sentiment score of 1.0 across 18 qualified observations. That is the highest coverage rate any tracked brand recorded on any single platform in October 2026.

The brand's cumulative coverage gain since the July 2026 baseline is roughly 10.8 points, from 7.7% to 18.46%. The benchmark classifies that movement as sitting just inside the normal variation band, but it represents the largest absolute coverage gain of any brand that held the category lead in the series.

Where The Emily Program Has the Clearest AI Visibility Gaps

Questions This Section Answers

• What does the presence gap between The Emily Program and Monte Nido mean for recommendation opportunities?
• Where is The Emily Program's AI Mode coverage weaker than its AI Overviews performance?
• Which high-intent clusters have no qualified observations for The Emily Program?

The Emily Program's most significant gap is presence relative to Monte Nido. Monte Nido was surfaced in 58.5% of qualified October observations, compared with The Emily Program's 44.62%. That 13.9-point presence gap means AI systems mention Monte Nido more often in eating disorder treatment contexts, even though The Emily Program converts mentions into valid recommendations at a higher rate. The risk is that as recommendation-shaped answers continue to grow as a share of qualified observations, a brand with higher raw presence has more opportunities to convert.

The second gap is platform concentration. The Emily Program's recommendation strength is concentrated in AI Overviews, where it recorded a 33.3% coverage rate across 18 qualified observations. On AI Mode, which carries 46 qualified observations, coverage drops to 13.0%. The brand recorded no qualified recommendation activity on Copilot. The benchmark's third qualified surface changed from Gemini in August and September 2026 to Copilot in October 2026, and surface-mix changes can shift which brands receive recommendations without any change in brand behavior.

The third gap is the absence of qualified observations in the Pricing & Value and Multi-Brand Comparison clusters. All 65 qualified October observations fell into the Brand Recommendation cluster. The benchmark cannot yet show how AI systems frame cost, insurance, or head-to-head treatment center comparisons for The Emily Program or any competitor. October 2026 did record one pricing analysis response and one comparison analysis response in the broader collection, but neither produced a qualified observation in the public benchmark set.

The fourth gap is the narrow margin over the field. The Emily Program leads Monte Nido by 4.6 points and Alsana by 6.2 points. The October 2026 qualified set is 65 observations, down from 91 in July 2026, and brand-level percentages rest on small absolute counts. The Emily Program's 12 valid recommendations mean that a single-prompt shift can move the brand's coverage percentage by more than a point.

Biggest Opportunity

Questions This Section Answers

• How can The Emily Program extend its rank-one strength into broader AI Mode presence?
• What role does the emilyprogram.com citation footprint play in closing the AI Mode gap?

The clearest opportunity for The Emily Program is to extend its rank-one strength into broader presence across AI Mode, the platform carrying the largest qualified observation base. The brand already leads the category on first-position recommendations at 7.69%, which indicates that when AI systems do recommend The Emily Program, they frequently place it first. The gap is that the brand is not being surfaced often enough on the surface where most qualified observations occur.

Closing that gap means increasing the brand's appearance in the prompts and source contexts that AI Mode draws on. The benchmark's top cited domains include emilyprogram.com at 95 citations, ranking fourth overall and cited across ChatGPT, Copilot, Gemini, AI Mode, AI Overviews, and Perplexity. That citation footprint is already broad. The opportunity is to strengthen the specific page and source patterns that AI Mode retrieves when generating recommendation-shaped answers, so that the brand's existing rank-one conversion strength has more opportunities to operate.

Competitive Landscape

Questions This Section Answers

• How does The Emily Program's rank-one rate compare to competitors with higher top-three rates?
• Which competitor has the highest presence but no rank-one recommendations?

The Emily Program holds the strongest recommendation-stage position in the category, leading on both valid recommendation coverage and rank-one placement. Monte Nido holds the highest raw presence but converts it less efficiently, and Alsana holds the highest top-three rate but converts it into first-position recommendations far less often.

Average recommended rank covers rank-eligible recommendations only.

The Emily Program ranks second on top-three rate but first on rank-one rate, which shows that its top-three placements convert into first-position recommendations more often than any competitor's. Alsana records a higher top-three rate but a rank-one rate roughly one-fifth of The Emily Program's. Monte Nido records the highest presence in the category but no rank-one placements and an average recommended rank of 4.75, meaning its recommendations cluster below the top three.

Prompt Evidence

AI Overviews / Brand Recommendation Prompt: "types of eating disorders" Result: The Emily Program was recommended in a top-three position, contributing to its 33.3% coverage rate on AI Overviews.

AI Mode / Brand Recommendation Prompt: "eating recovery center" Result: The Emily Program appeared in the qualified observation set, where AI Mode coverage was 13.0% across 46 qualified observations.

AI Mode / Brand Recommendation Prompt: "iop program" Result: The Emily Program was surfaced in a context where Monte Nido recorded higher raw presence, illustrating the presence gap between the two brands.

AI Mode / Brand Recommendation Prompt: "arfid diagnosis" Result: The Emily Program appeared in a clinical-reference context, where the brand's neutral mention count contributed to its 16 neutral mentions across 29 total mentions.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map every qualified prompt where The Emily Program is mentioned but not recommended, and identify which competitor receives the recommendation instead.

Phase 2: Recommendation Readiness Plan Prioritize the AI Mode prompts where the brand's 13.0% coverage trails its 33.3% AI Overviews coverage, and define the page and source changes needed to close that surface gap.

Phase 3: Owned Answer Layer Buildout Strengthen the emilyprogram.com pages that AI systems already cite, focusing on the clinical and program-fit content that appears in recommendation-shaped answers.

Phase 4: Citation / Authority Layer Development Expand the brand's presence in the clinical, research, and nonprofit sources that appear alongside emilyprogram.com in the top cited domains, including pmc.ncbi.nlm.nih.gov and nationaleatingdisorders.org.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track coverage, top-three rate, rank-one rate, and sentiment by platform each month to confirm whether AI Mode coverage is converging toward the brand's AI Overviews performance.

Why This Matters

Questions This Section Answers

• Why is rank-one placement more important than raw mention presence for The Emily Program?
• What does Monte Nido's high presence but low recommendation rate reveal about AI visibility metrics?

The Emily Program leads the category on the measure that matters most at the decision moment. Valid recommendation coverage and rank-one placement are what determine whether a brand enters a buyer's shortlist and whether it leads that shortlist. Raw presence is a diagnostic signal, not a business outcome. Monte Nido's 58.5% presence rate shows that being mentioned often does not guarantee being recommended often, and The Emily Program's 7.69% rank-one rate shows that being recommended first is a separate achievement from being mentioned.

The next move is targeted correction of the prompt, page, and citation layers that determine where recommendations are formed. The brand's rank-one strength is already established. The work ahead is extending that strength into the AI Mode prompts and source contexts where the brand is currently surfaced less often than its closest competitor, so that the category lead on recommendation quality translates into a category lead on recommendation volume.

Core Metrics

Sentiment Score

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

The Emily Program's October 2026 sentiment score is 0.4483, calculated from 13 positive mentions, 16 neutral mentions, and 0 negative mentions across 29 total mentions.

This matters because unclassified mention counts are misleading. A brand with 29 mentions and no sentiment breakdown looks identical whether those mentions are enthusiastic recommendations, neutral references, or cautionary comparisons. 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, and counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because it separates brands that AI systems actively steer buyers toward from brands that AI systems merely list.

Sentiment by Platform

Methodology

1. This report is a benchmark-based analysis of The Emily Program's AI recommendation position in the Eating Disorder Treatment Centers category. It is not a client implementation case study.
2. The reporting month is October 2026, with comparison to the July 2026 baseline and the August and September 2026 interim measurements.
3. The benchmark tracks canonical AI surface families including ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. Three surface families produced qualified observations in October 2026: Copilot, AI Mode, and AI Overviews.
4. The October 2026 measurement began with 320 source prompt-surface observations and 246 unique questions. Of those, 320 mentioned a tracked brand or competitor, 220 were relevant to the vertical, and 100 were filtered as irrelevant.
5. The public benchmark uses 65 qualified observations as the denominator for all brand-level percentages. The July 2026 baseline used 91 qualified observations, August 2026 used 71, and September 2026 used 68.
6. The competitor universe contains 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.
7. Three public high-intent clusters are defined: Best Eating Disorder Treatment Centers (consideration stage), Eating Disorder Treatment Center Comparisons (evaluation stage), and Eating Disorder Treatment Center Costs and Insurance (decision stage). Only the first cluster produced qualified observations in October 2026.
8. Stage 0 extraction retains the query, AI surface, answer, brand outcome, recommendation placement, sentiment, and where exposed, citations or attributable evidence sources.
9. A mention is counted when a tracked brand appears in a qualified observation, regardless of whether the brand is recommended. A valid recommendation is counted only when the dataset explicitly marks the brand as recommended with a rank position.
10. Top-three rate and rank-one rate are calculated against the 65 qualified observations, not against the brand's own mention count.
11. Average recommended rank covers rank-eligible recommendations only. Veritas Collaborative has no rank-eligible recommendations and is shown as N/A.
12. The qualified observation count fell from 91 in July 2026 to 65 in October 2026 even as the raw prompt collection grew, so a larger share of collected prompts did not meet the qualification criteria. Brand-level percentages rest on small absolute counts, and single-prompt shifts can move percentages by several points. Movement between months identifies changes worth investigating and does not establish cause.

See How AI Is Recommending Your Brand

The public benchmark shows where The Emily Program leads and where competitors are gaining ground. A company-level AI visibility audit maps the specific prompts, surfaces, competitors, and source patterns behind those numbers, and turns them into a prioritized plan for extending the brand's recommendation lead across every AI surface that matters.