CiteWorks Studio

How AI Search Is Recommending Drug Rehab Centers: Monthly Trends

Mark HuntleyBy Mark HuntleyFounder and CEO
8 minutes read

Key Takeaways

  • Hazelden Betty Ford led August 2026 recommendation coverage at 22.1%, up 14.3 points from July and widening its lead over Recovery Centers of America.
  • Caron Treatment Centers moved from 0.0% to 3.9% recommendation coverage in August, marking its first meaningful entry into AI recommendation shortlists.
  • American Addiction Centers had the highest raw presence at 67.7% but converted that visibility into just 4.7% valid recommendation coverage.
  • Gateway Foundation fell from 1.1% to 0.0% recommendation coverage, while category movement was driven mainly by gains from Hazelden Betty Ford and Caron Treatment Centers.

Executive Summary

Hazelden Betty Ford is now the clear coverage leader in AI-driven drug rehab recommendations, with valid recommendation coverage of 22.1% in August 2026, up 14.3 points from 7.8% in July 2026. This was the largest single movement in the category this month and was significant. The gap between Hazelden Betty Ford and Recovery Centers of America widened from 5.6 points in July 2026 to 20.5 points in August 2026, a widening of 14.9 points that has held across the two-month series.

Caron Treatment Centers was the strongest upward mover by relative improvement, rising from zero valid recommendations in July 2026 to 3.9% in August 2026, a gain of 3.9 points that also registered as significant. This was supported by a rise in top-three recommendation rate from 0.0% to 2.4%, though the brand still recorded no rank-one recommendations.

The sharpest decline came from Gateway Foundation, which fell from 1.1% coverage in July 2026 to 0.0% in August 2026, a drop of 1.1 points. While not significant, the movement ended a prior presence in recommendation shortlists. Recovery Centers of America also declined from 2.2% to 1.6%, a drop of 0.6 points.

The category recorded real movement in August 2026, driven primarily by Hazelden Betty Ford's rise and Caron Treatment Centers' entry into recommendation visibility. American Addiction Centers retained the highest raw presence at 67.7% but converted that to only 4.7% valid recommendation coverage, underscoring that visibility and recommendation are distinct signals.

Each monthly run begins with 429 prompt-surface observations (340 unique questions) in July 2026 and 800 prompt-surface observations (650 unique questions) in August 2026 across the benchmark's defined AI/search surface universe. Of those, 429 mentioned a tracked brand or competitor in July and 573 did in August; 152 were relevant and 277 were irrelevant in July, versus 252 relevant and 321 irrelevant in August. The public metrics use the 90 observations that survived both qualification stages in July and the 127 that did so in August.

AI recommendation trend

valid recommendation coverage, Jul 2026 to Aug 2026

  • Hazelden Betty Ford+14.3% · beyond normal variation
    Jul 20267.8%
    Aug 202622.1%
  • American Addiction Centers+2.5%
    Jul 20262.2%
    Aug 20264.7%
  • Caron Treatment Centers+3.9% · beyond normal variation
    Jul 20260.0%
    Aug 20263.9%
  • The Recovery Village+2.0%
    Jul 20261.1%
    Aug 20263.1%
  • Recovery Centers of America-0.6%
    Jul 20262.2%
    Aug 20261.6%
  • Phoenix House+0.8%
    Jul 20260.0%
    Aug 20260.8%
  • Banyan Treatment Centersno change
    Jul 20260.0%
    Aug 20260.0%
  • BrightViewno change
    Jul 20260.0%
    Aug 20260.0%
  • Footprints to Recoveryno change
    Jul 20260.0%
    Aug 20260.0%
  • Gateway Foundation-1.1%
    Jul 20261.1%
    Aug 20260.0%

Key Findings

Signal

August 2026 finding

Category leader

Hazelden Betty Ford at 22.1% valid recommendation coverage

Largest mover

Hazelden Betty Ford, up 14.3 points from July 2026

Significant riser

Caron Treatment Centers, up 3.9 points from July 2026

Highest raw presence

American Addiction Centers at 67.7%, with 4.7% recommendation coverage

Sharpest decline

Gateway Foundation, down 1.1 points to 0.0%

Qualified surface breadth

6 of 6 AI surface families represented

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.

Research stage

Jul 2026

Aug 2026

What it represents

Source prompt-surface observations collected

429

800

Raw prompt-surface observations across the AI/search surface universe

Unique questions

340

650

Distinct questions posed to the AI surfaces

Brand / competitor mentions

429

573

Prompts mentioning a tracked brand or competitor

Relevant prompts

152

252

Prompts relevant to the vertical

Irrelevant prompts

277

321

Prompts outside the vertical's scope

Qualified benchmark observations

90

127

Public denominator after both qualification stages

Qualified surface breadth

6

6

AI surface families with at least one qualified observation

Median monthly query volume across tracked prompts eased from 80 in July 2026 to 70 in August 2026, while the zero-volume prompt share fell from 17.8% to 12.6%, even though the raw count of zero-volume prompts held flat at 16 in both months. The following benchmark-level metrics summarize the qualified dataset across both months.

Benchmark-Level Metrics

Metric

Jul 2026

Aug 2026

Change

Qualified observations

90

127

+37

Companies tracked

10

10

No change

Recommendation-shaped answer share

10.0%

7.1%

Down 2.9 points

Valid recommendation shortlist share

8.9%

8.7%

Down 0.2 points

Category leader by coverage

Hazelden Betty Ford

Hazelden Betty Ford

No change

AI Recommendation Trend

Hazelden Betty Ford extended its lead sharply in August, while American Addiction Centers remained the most visible but least-converting brand across the qualified benchmark set.

Valid Recommendation Coverage by Brand

Brand

Jul 2026

Aug 2026

Movement

Aug 2026 rank

American Addiction Centers

2.2%

4.7%

Up 2.5 points

2nd

Banyan Treatment Centers

0.0%

0.0%

Flat

7th (tie)

BrightView

0.0%

0.0%

Flat

7th (tie)

Caron Treatment Centers

0.0%

3.9%

Up 3.9 points

3rd

Footprints to Recovery

0.0%

0.0%

Flat

7th (tie)

Gateway Foundation

1.1%

0.0%

Down 1.1 points

7th (tie)

Hazelden Betty Ford

7.8%

22.1%

Up 14.3 points

1st

Phoenix House

0.0%

0.8%

Up 0.8 points

6th

Recovery Centers of America

2.2%

1.6%

Down 0.6 points

5th

The Recovery Village

1.1%

3.1%

Up 2.0 points

4th

Two brands exceeded normal month-to-month variation in August 2026: Hazelden Betty Ford and Caron Treatment Centers. The category-level change came primarily from these two risers rather than from the combination of several smaller movements.

What Changed This Month

Hazelden Betty Ford

Hazelden Betty Ford's valid recommendation coverage rose from 7.8% in July 2026 to 22.1% in August 2026, a gain of 14.3 points that was significant. This expansion came despite a slight decline in raw presence from 53.3% to 47.2%, meaning the brand converted a smaller share of mentions into a much larger share of recommendations.

The brand's top-three recommendation rate held steady at 7.9% in August 2026, nearly identical to July's 7.8%, while its rank-one rate declined from 7.8% to 5.5%. The valid recommendation count jumped from 7 in July to 28 in August across a qualified set that grew from 90 to 127 observations.

The distinction to notice: Hazelden Betty Ford's growth came from breadth of recommendation coverage, not from capturing more rank-one slots. The brand is being recommended more often across a wider set of prompts, even as its share of top placements slipped.

Highest-priority diagnostic: Which prompt patterns account for the 21 additional valid recommendations, and which competitor lost those recommendation slots?

Caron Treatment Centers

Caron Treatment Centers moved from zero valid recommendations in July 2026 to 3.9% coverage in August 2026, a gain of 3.9 points that was significant. Raw presence also rose from 3.3% to 7.9%, with present count growing from 3 to 10 observations.

The brand's top-three recommendation rate reached 2.4% in August 2026, up from 0.0% in July, with 3 top-three placements and 5 valid recommendations total. It recorded no rank-one recommendations in either month.

The distinction to notice: Caron Treatment Centers entered recommendation shortlists for the first time in the series. The movement is significant, but the underlying counts remain small, so the durability of this entry is not yet established.

Highest-priority diagnostic: Which prompts drove the first recommendation shortlist entries, and which evidence sources supported those recommendations?

Gateway Foundation

Gateway Foundation's valid recommendation coverage fell from 1.1% in July 2026 to 0.0% in August 2026, a drop of 1.1 points. Raw presence also declined from 8.9% to 3.1%, with present count falling from 8 to 4 observations.

The brand lost its single top-three placement from July, and its valid recommendation count dropped from 1 to 0. The movement was not significant, but it ends a streak of recommendation presence that began in July.

The distinction to notice: Gateway Foundation retained some visibility (4 mentions) but no longer appears in any recommendation shortlist.

Highest-priority diagnostic: Which July prompts produced the recommendation, and which brands are now appearing in those same shortlist positions?

American Addiction Centers

American Addiction Centers rose from 2.2% valid recommendation coverage in July 2026 to 4.7% in August 2026, a gain of 2.5 points that was not significant. Raw presence remained the highest in the category at 67.7%, up from 62.2%.

The brand's valid recommendation count grew from 2 to 6, but its top-three rate fell from 2.2% to 0.0%, and its rank-one rate fell from 1.1% to 0.0%. Its average recommended rank slipped from 1.5 to 4.

The distinction to notice: American Addiction Centers remains the most mentioned brand, but its recommendations are now landing further down the shortlist rather than at the top.

Highest-priority diagnostic: Why did the brand's recommendation count grow while its placement quality declined, and which brands now hold the higher positions?

Buyer-Intent Interpretation

Buyer-intent cluster

What it captures

Strategic question

Brand Recommendation

Prompts asking which rehab center to choose

Which providers do AI surfaces name and rank?

Pricing & Value

Prompts about cost, insurance, and value

What cost and value signals do AI surfaces surface?

Multi-Brand Comparison

Prompts comparing two or more providers

How do AI surfaces weigh providers side by side?

In August 2026, all 127 qualified observations fell into the brand recommendation cluster, the same as in July 2026. No qualified observations were recorded for pricing and value or multi-brand comparison in either month. The public benchmark therefore measures which providers AI surfaces recommend and rank, but it cannot yet answer commercial questions about price positioning, value perception, or head-to-head comparison outcomes. Those questions remain open for company-level analysis.

Brand Opportunity Summary

Brand

Aug 2026 coverage

Current signal

Highest-priority diagnostic

American Addiction Centers

4.7%

Highest raw presence (67.7%) with modest recommendation rate

Which prompts yield mentions without recommendations?

Banyan Treatment Centers

0.0%

Minimal presence (1.6%), no recommendations

What would move the brand into shortlists?

BrightView

0.0%

Minimal presence (0.8%), no recommendations

Is the brand absent from recommendation-eligible prompts?

Caron Treatment Centers

3.9%

Significant entry into recommendation shortlists

Which prompts drove the first recommendations?

Footprints to Recovery

0.0%

Presence declined to 0.8%, no recommendations

What changed between July and August presence?

Gateway Foundation

0.0%

Lost its only recommendation slot

Which July prompt produced the lost recommendation?

Hazelden Betty Ford

22.1%

Category leader with significant coverage growth

Can top-three rate grow alongside coverage?

Phoenix House

0.8%

First recommendation in the series, minimal presence

Which prompt produced the first valid recommendation?

Recovery Centers of America

1.6%

Coverage declined while rank-one rate improved

Which competitor took the lost recommendation slots?

The Recovery Village

3.1%

Coverage grew to 3.1% with no top-three placements

Where are the recommendations landing in shortlists?

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. 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.

Report-Specific Interpretation Notes

  • Small-count movements: Several brands, including Caron Treatment Centers, Phoenix House, and Gateway Foundation, have valid recommendation counts between 0 and 5. These movements are directional signals, not robust trends.
  • Qualified denominator: Brand percentages are calculated within the qualified benchmark set (127 observations in August 2026), not the raw prompt collection (800 prompts). The funnel stages are disclosed above for transparency.
  • Directional analysis: Month-over-month movement identifies changes worth investigating; it does not by itself establish the cause of those changes. Presence, coverage, rank, and sentiment remain distinct signals.

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 matter most: Which high-intent prompts does a brand win, and which does it lose? When a brand is not recommended, which competitor takes the slot? What attributes do AI systems associate with each option, and which external sources shape those answers? The benchmark signals where attention is warranted, but it does not answer why.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. It moves from the category-level signal to the brand-level explanation.

Request an AI visibility audit

/ Take the next step

Want to Understand Your AI Citation Footprint?

We start every engagement with a full audit of how AI systems reference your brand today.

Measurable, Repeatable Programme

Build a durable foundation of credible citations that compounds over time and continues to influence AI answers as new queries emerge

Citation Architecture Review

Identify which high-authority community sources are and aren't working in your favour across AI platforms.

AI Visibility Audit

Understand exactly how LLMs are referencing your brand today and which sources are shaping those answers.

/ Learn More

Understanding AI search visibility.

AI search experiences create answers by pulling information from many places online and summarizing it into a single response.

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.

VIEW ALL CASE STUDIESREQUEST AN AI VISIBILITY AUDIT