Eating Disorder Treatment Centers: AI Market Discovery Index

Benchmark Summary

August 2026 was a quiet month for the Eating Disorder Treatment Centers benchmark: the series classifies all nine tracked brands as stable, with no brand's valid recommendation coverage moving beyond normal month-to-month variation. Alsana led the category in August 2026 with 7.0% valid recommendation coverage, tied with The Emily Program at 7.0%. The gap between Alsana and the next-closest brand, ERC Pathlight, has widened in every tracked month, moving from -2.2 points in July 2026 to 4.2 points in August 2026.

Within that quiet month, Alsana recorded the largest numeric increase in valid recommendation coverage (4.4% in July 2026 to 7.0% in August 2026) and ERC Pathlight recorded the largest numeric decline (6.6% to 2.8%); the series marks both moves as within normal variation rather than significant shifts.

The benchmark began with 270 prompt-surface observations in August 2026 and produced 71 qualified observations after qualification.

Current Benchmark at a Glance

Qualified surface breadth counts the canonical AI surface families with at least one qualified observation. The six canonical families are ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.

For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Eating Disorder Treatment Centers

Research Scope and Qualification

The public benchmark is narrower than the raw collection universe by design.

Brand-level percentages use the qualified observations as the public denominator, not the raw collection. Link: AI Market Discovery Methodology.

Current Brand Standings

How to Read the Standings

• Presence rate: The share of qualified observations in which the brand is mentioned at all.
• Valid recommendation coverage: The share of qualified observations in which the brand receives a valid recommendation.
• Top-three rate: The share of qualified observations in which the brand appears among the top three recommended options.
• Rank-one rate: The share of qualified observations in which the brand is recommended first.
• Net sentiment: Positive minus negative sentiment among mentions, divided by total mentions.

For formulas and denominator rules, see AI Market Discovery Metric Definitions.

Recommendation Coverage Movement

No brand's valid recommendation coverage moved beyond normal month-to-month variation in August 2026. ERC Pathlight's rank-one rate moved from 4.4% in July 2026 to 0.0% in August 2026. The Emily Program's presence rate rose from 51.6% in July 2026 to 56.3% in August 2026, while its valid recommendation coverage moved from 7.7% to 7.0%.

Largest Increase: Alsana

Alsana's valid recommendation coverage rose from 4.4% in July 2026 to 7.0% in August 2026, an increase of 2.6 points. Its top-three rate moved from 1.1% to 7.0%, and its presence rate rose from 13.2% to 16.9%. The move sits within normal month-to-month variation.

Largest Decline: ERC Pathlight

ERC Pathlight's valid recommendation coverage fell from 6.6% in July 2026 to 2.8% in August 2026, a decline of 3.8 points. Its presence rate dropped from 65.9% to 59.2%. The decline falls within normal month-to-month variation.

Category Leader: Alsana

Alsana and The Emily Program were tied for the lead in August 2026, each at 7.0% valid recommendation coverage. Alsana reached that level from 4.4% in July 2026, while The Emily Program moved from 7.7%. Alsana's presence rate was 16.9%, compared with The Emily Program's 56.3%.

Recommendation Placement Snapshot

Coverage alone does not show how prominently a brand is recommended. Alsana and The Emily Program held identical valid recommendation coverage of 7.0% in August 2026, but their placement patterns differed. The Emily Program was recommended first in 7.0% of qualified observations in August 2026, while Alsana recorded a 0.0% rank-one rate in both months.

Close coverage can still hide different first-position rates.

Buyer-Intent Distribution

All qualified observations in both months fell into the Brand Recommendation class.

The current public series measures brand-recommendation discovery and does not yet contain qualified observations in the Pricing & Value or Multi-Brand Comparison classes.

Historical Measurement Record

This is an evergreen benchmark URL. New measurements are added to the same report.

Evidence and Source Layer

The benchmark is built from prompt-level observations that retain the query, AI/search surface, answer, brand outcome, recommendation placement, sentiment, and where exposed, citations or attributable evidence sources. Source presence is evidence about the information environment. It is not automatically proof that the source caused the recommendation.

Scope Boundaries

This public benchmark does not measure market share, attributable sales, every possible AI response, organic-search ranking, social mention volume, private or sponsored channels, or causality from a metric movement alone.

About This Benchmark

The LLM Authority Index AI Market Discovery Index tracks how AI assistants surface and recommend brands across canonical AI/search surface families. It is a neutral industry benchmark built from real prompt-level observations.

• AI Market Discovery Methodology
• AI Market Discovery Metric Definitions
• AI Market Discovery Research Standards
• Modeled AI Authority Value

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