How AI Search Is Recommending Addiction Treatment Centers: Monthly Trends

Executive Summary

Hazelden Betty Ford is the clear leader in August 2026, with AI systems recommending the brand in 25.2% of qualified observations, up 22.4 points from 2.8% in July 2026. This gain moved the brand past all other tracked treatment centers and opened a 19.1-point gap to the next closest brand, Caron Treatment Centers, at 6.1%.

Caron Treatment Centers was the only other brand to post a significant gain, rising from 0.0% in July to 6.1% in August, a 6.1-point increase with 6 valid recommendations. Meanwhile, several brands that held recommendation coverage in July lost it entirely in August, including American Addiction Centers (down 2.8 points from 2.8%), The Recovery Village (down 4.2 points from 4.2%), and Gateway Foundation (down 1.4 points from 1.4%).

Two brands moved enough this month to stand out from normal month-to-month variation — Hazelden Betty Ford and Caron Treatment Centers — while the remaining eight tracked brands held stable positions. The gap between Hazelden Betty Ford and The Recovery Village widened by 26.6 points since July. Across the July–August series, the category moved from a fragmented landscape of low single-digit coverage to one anchored by a single dominant brand.

Each month begins with 435 prompt-surface observations (343 unique questions) across the benchmark's defined AI/search surface universe. Of those, 435 mentioned a tracked brand or competitor, 187 were relevant to the addiction treatment category, and 248 were irrelevant. The public metrics use the qualified observations that survive both qualification stages: 72 in July 2026 and 99 in August 2026.

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.

Benchmark-Level Metrics

July showed a fragmented leadership picture, with The Recovery Village at 4.2% coverage, followed by American Addiction Centers and Recovery Centers of America at 2.8% each. August concentrated that fragmentation into a single dominant leader.

AI Recommendation Trend

Hazelden Betty Ford is the clear recommendation leader in August, while the rest of the category sits at zero or low single digits

Hazelden Betty Ford's 22.4-point gain and Caron Treatment Centers' 6.1-point gain are the two moves that stand out from normal month-to-month variation this period. The remaining eight brands held largely stable positions, meaning the category-level change this month concentrated in these two brands rather than spreading broadly across the tracked set.

What Changed This Month

Hazelden Betty Ford

Hazelden Betty Ford's valid recommendation coverage rose from 2.8% in July to 25.2% in August, a 22.4-point increase that is the largest single-month move in the category. The brand logged 25 valid recommendations in August against 2 in July.

The brand's top-three recommendation rate rose from 1.4% in July to 9.1% in August, and its rank-one rate moved from 1.4% to 7.1%. This reflects a shift from occasional placement to more frequent first-position recommendation. Notably, Hazelden Betty Ford's raw mention presence rate fell from 65.3% in July to 36.4% in August, meaning the brand appeared in fewer answers overall but was recommended far more often when it did appear.

The distinction to notice is presence versus coverage: Hazelden Betty Ford's raw visibility dropped while its recommendation rate rose sharply. With 25 valid recommendations and 7 rank-one placements, the brand's positioning moved from widely mentioned to specifically recommended.

Highest-priority diagnostic: Which prompt types and surfaces drove the 25 August recommendations, and which competitor now receives the recommendation when Hazelden Betty Ford is absent.

Caron Treatment Centers

Caron Treatment Centers moved from 0.0% valid recommendation coverage in July to 6.1% in August, a 6.1-point gain that the series identifies as a significant riser. The brand logged 6 valid recommendations in August, all of them new.

The brand's top-three rate reached 2.0% in August with 2 placements, and its rank-one rate was 1.0% with 1 first-position placement. Its raw mention presence rate held relatively steady at 7.1% in August versus 8.3% in July, meaning the change came from more favorable treatment within answers rather than from more frequent appearance.

Caron Treatment Centers had no valid recommendations in the July baseline, so the August figures represent first-time recommendation credit. With 6 valid recommendations, the brand converted a meaningful share of its 7 appearances into recommendation placement.

Highest-priority diagnostic: Which prompts and evidence sources produced the recommendation placements for Caron Treatment Centers, and whether those answers are consistent across surfaces or concentrated in one platform.

American Addiction Centers and The Recovery Village

American Addiction Centers fell from 2.8% valid recommendation coverage in July to 0.0% in August, a 2.8-point decline that the series classifies as within normal variation. The brand's raw mention presence dropped from 56.9% to 27.3%, a 29.6-point decline. It logged zero valid recommendations in August, down from 2 in July.

The Recovery Village similarly dropped from 4.2% coverage in July to 0.0% in August, a 4.2-point decline. Its rank-one rate fell from 2.8% to 0.0%, and its raw mention presence fell from 27.8% to 13.1%, a 14.7-point decline.

Both brands lost all recommendation credit in August, and both saw declines in raw mention presence. American Addiction Centers remains visible in 27.3% of observations but is no longer recommended, while The Recovery Village retains 13.1% presence with no recommendation outcome.

Highest-priority diagnostic: Whether the loss of recommendation credit reflects a change in how AI systems present these brands (factual mention versus recommendation) or a shift in which brand is favored for the same queries.

Buyer-Intent Interpretation

The August qualified observations fell entirely into the Brand Recommendation cluster, with 99 observations and 9 brands present. Neither the Pricing & Value nor the Multi-Brand Comparison cluster captured any qualified observations in the current month. The public benchmark therefore measures which treatment centers AI systems recommend, but it cannot yet answer commercial questions about price competitiveness, value positioning, or direct head-to-head comparison outcomes.

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 (query, surface, recommendation outcome, rank, sentiment, and citations where exposed). Company-level analysis can go deeper into prompt, competitor, surface, and evidence patterns. Presence in a source is not automatically treated as proof of causation.

About This Benchmark

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

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

Report-Specific Interpretation Notes

• Small-count movement: several brands hold between 1 and 6 valid recommendations; percentage movements on these bases can shift sharply between months and should be read alongside the absolute counts.
• Qualified denominator: all brand-level percentages use the 99 qualified observations in August 2026, not the 435 raw prompt-surface observations.
• Directional analysis: movement between months identifies changes worth investigating; it does not by itself establish what caused those changes.

Next Step

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

The aggregate percentages in this report sit on top of individual decisions: which high-intent prompts each brand wins, 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 leader like Hazelden Betty Ford, the question is whether the 25.2% coverage is durable or concentrated in specific prompt patterns that could shift. For brands that lost all coverage, the question is which answers changed and what evidence drove the shift.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy.

Request an AI visibility audit