How AI Search Is Recommending Eating Disorder Treatment Centers: Monthly Trends

Executive Summary

ERC Pathlight has moved into a clear category lead, reaching 23.5% valid recommendation coverage in September 2026, up from 6.6% in July. The benchmark classifies this as a significant rise, with the brand now sitting 7.3 points ahead of Alsana and Monte Nido, which are tied for third at 10.3% each, and ahead of second-place The Emily Program at 16.2%. This is the first time any brand in this tracking series has held a leadership position above the low-to-mid single digits.

September was an active month for the category. Beyond ERC Pathlight's rise, both Center for Discovery and Monte Nido posted significant gains, moving from no or minimal coverage to 5.9% and 10.3% respectively. No tracked brand recorded a significant decline, and net sentiment scores stayed positive or neutral for every brand. The category's valid recommendation shortlist share climbed from 6.6% in July to 19.1% in September, signaling a broader shift in how often AI systems are producing actionable recommendations in this space.

Against the prior month, ERC Pathlight rose 20.7 points, the largest single-month move in the series. Monte Nido added 8.9 points and Center for Discovery added 5.9 points from August to September. The Emily Program and The Renfrew Center also moved up but stayed within normal month-to-month variation.

Each monthly run begins with 327 prompt-surface observations (254 unique questions) in September 2026, up from 213 prompt-surface observations (209 unique questions) in July 2026 and 270 (243 unique questions) in August, across the benchmark's defined AI/search surface universe. Of those, 327 mentioned a tracked brand or competitor in September, 213 did in July, and 270 did in August; 226 were relevant and 101 were irrelevant in September, versus 138 relevant and 75 irrelevant in July, and 184 relevant and 86 irrelevant in August. The public metrics use the 68 qualified observations in September, 91 in July, and 71 in August that survive both qualification stages.

Key Findings

Benchmark Context

The report separates the raw collection universe from the qualified analysis set. Brand-level recommendation percentages are calculated within the qualified benchmark set.

In July 2026 the benchmark captured observations across two AI surface families: AI Overviews and AI Mode. August 2026 added Gemini as a third surface, and September 2026 maintained that breadth at 3. The qualified observation count fell from 91 in July to 68 in September even as the raw prompt collection grew to 327, meaning a larger share of collected prompts did not meet the qualification criteria this month.

Benchmark-Level Metrics

AI Recommendation Trend

The category has moved from a tight cluster to a market with a clear leader and a broader middle tier. ERC Pathlight now leads at 23.5% valid recommendation coverage, well ahead of second-place The Emily Program. In July the top brand held 7.7% coverage; by September the spread between first and last place had widened dramatically.

Valid Recommendation Coverage by Brand

Three brands exceeded normal month-to-month variation from July to September: ERC Pathlight, Monte Nido, and Center for Discovery. The remaining movement came from the combination of several smaller rises across the rest of the field, with eight of nine brands recording higher coverage in September than in July.

What Changed This Month

ERC Pathlight: From Mid-Tier to Category Leader

ERC Pathlight's valid recommendation coverage rose from 6.6% in July to 23.5% in September, a 16.9-point gain the benchmark classifies as significant. The prior month told a different story: coverage fell to 2.8% in August before this reversal, making the September increase a 20.7-point swing from the immediate prior month.

The brand's placement improved alongside its coverage. Its top-three rate rose from 4.4% in July to 14.7% in September, a gain of 10.3 points. Rank-one placements moved from 4.4% down to 2.9%, while presence expanded from 65.9% of qualified observations in July to 79.4% in September. Its valid recommendation count grew from 6 in July to 16 in September.

ERC Pathlight is now both the most frequently surfaced brand and the most frequently recommended. The distinction to note is that its rank-one rate did not keep pace with its overall coverage growth, meaning many of its 16 recommendations landed in the second or third position rather than first.

Highest-priority diagnostic: Which prompt types and evidence sources drove the increase in ERC Pathlight's recommendation count, and why did rank-one placements not rise proportionally?

Monte Nido: High Presence Finally Converting to Recommendations

Monte Nido's valid recommendation coverage rose from 2.2% in July to 10.3% in September, an 8.1-point gain classified as significant. The prior month saw coverage dip to 1.4%, making the September move an 8.9-point rise from August. This is the first time in the tracking series that Monte Nido's extensive visibility has translated into double-digit recommendation coverage.

The brand appeared in 72.5% of July observations and 69.1% in September, remaining one of the most consistently present brands in the category alongside ERC Pathlight. Its rank-one rate moved from 0.0% in July to 2.9% in September, with 2 rank-one placements in September's 68 qualified observations. Its valid recommendation count rose from 2 in July to 7 in September.

For two months the benchmark showed Monte Nido with very high presence but minimal recommendation credit. September's data suggests that visibility and recommendation are beginning to align, though its average recommended rank of 5.4 indicates many recommendations land lower in the list.

Highest-priority diagnostic: Which contexts previously surfaced Monte Nido without recommending it, and what changed to convert some of that presence into recommendations?

Center for Discovery: Breaking Into Recommendation Visibility

Center for Discovery moved from 0.0% valid recommendation coverage in both July and August to 5.9% in September, a gain classified as significant against both baselines. September marks its first valid recommendations, with a valid recommendation count rising from 0 to 4 in the qualified set, all of which carried a rank of 7.5 on average.

Notably, the brand's raw presence declined slightly from 20.9% of July observations to 16.2% in September, yet it began receiving recommendations despite being surfaced less often. Its net sentiment score moved from 0.0 in July to 0.4 in September.

Center for Discovery had appeared in AI answers across earlier months without ever being recommended.

Highest-priority diagnostic: Which prompts now yield recommendations for Center for Discovery, and what distinguishes those contexts from the ones where it is still mentioned but not recommended?

The Emily Program: Real Gains Within Normal Variation

The Emily Program's valid recommendation coverage rose from 7.7% in July to 16.2% in September, an 8.5-point gain that falls within the benchmark's normal range of month-to-month variation. Its rank-one rate eased from 2.2% in July to 1.5% in September, while top-three placements moved from 5.5% in July to 5.9% in September. Its valid recommendation count rose from 7 to 11.

The brand was the July category leader and now sits in second place despite nearly doubling its coverage. The Emily Program's growth was real but smaller relative to the category's new leader, ERC Pathlight, which moved from 6.6% to 23.5% over the same span.

Highest-priority diagnostic: Which prompts and surfaces account for The Emily Program's additional four recommendations, and where is it losing ground to ERC Pathlight?

Veritas Collaborative and Walden Behavioral Care: The Persistent Gap

Veritas Collaborative recorded no presence and no valid recommendations in any of the three tracked months. Walden Behavioral Care moved from 0.0% coverage in July and August to 1.5% in September, with a single valid recommendation, while its presence fell from 11.0% of July observations to 4.4% in September. The gap between ERC Pathlight and Walden Behavioral Care widened by 15.4 points from July to September, and the gap to Veritas Collaborative widened by 16.9 points.

Highest-priority diagnostic: Is Veritas Collaborative absent from the benchmark's prompt universe entirely, and which remaining presence contexts still surface Walden Behavioral Care without recommending it?

Buyer-Intent Interpretation

In September 2026 all 68 qualified observations fell into the Brand Recommendation cluster, the same concentration seen across the 91 qualified observations in July and 71 in August. No qualified observations fell into the Pricing & Value or Multi-Brand Comparison clusters in any tracked month, meaning the public benchmark cannot yet answer questions about how AI systems frame cost, insurance, or direct treatment center comparisons. For an eating disorder treatment category where financial accessibility and fit are often decisive, that remains a meaningful gap in what the public data can reveal.

Brand Opportunity Summary

The benchmark identifies where attention is warranted; a company-level analysis is needed to explain why.

Evidence Behind the Benchmark

The aggregate metrics are built from prompt-level observations capturing the query, surface, recommendation outcome, rank, sentiment, and citations where exposed. Company-level analysis can go deeper into prompt, competitor, surface, and evidence patterns. Source presence is not automatically treated as proof of causation.

About This Benchmark

This report is part of the LLM Authority Index AI Market Discovery research program.

• AI Industry Market Discovery Methodology
• AI Industry Market Discovery Metrics
• AI Industry Market Discovery Standards

Report-Specific Interpretation Notes

• Small observation counts are valid for this niche vertical: the September 2026 qualified set is 68 observations, down from 91 in July and 71 in August. Brand-level percentages rest on small absolute counts (for example, 16 valid recommendations for ERC Pathlight and 1 for Walden Behavioral Care), so single-prompt shifts can move percentages by several points.
• Movement between months identifies changes worth investigating; it does not establish cause. ERC Pathlight's rise flags a question, not an explanation.
• The qualified denominator differs from the raw collection: 68 of 327 September prompts, 91 of 213 July prompts, and 71 of 270 August prompts survived qualification stages, so public percentages reflect the qualified set only.
• The data describes the output distribution, not its cause. Attribution requires company-level audit.

Next Step

The Public Benchmark Shows Where a Brand Is Winning or Losing. A Company-Level Audit Shows Why.

Beneath the aggregate percentages sit the questions that determine real-world impact: which high-intent prompts does a brand win or lose, which competitor takes the recommendation when a brand loses, what attributes AI systems associate with each treatment center, and which external sources shape those answers. For a prospective patient or referring clinician, the difference between a rank-one and a rank-four recommendation can be the difference between being chosen and being overlooked.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. It can help explain why ERC Pathlight's recommendations increased while its rank-one rate did not keep pace, why Monte Nido's presence finally began converting, and why The Emily Program grew yet lost its leadership position, then turn those answers into concrete action.

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