How AI Search Is Recommending Drug Rehab Centers: Monthly Trends

Executive Summary

Hazelden Betty Ford is the current coverage leader in AI-driven drug rehab recommendations, holding 19.8% valid recommendation coverage in October 2026. The gap to the next brand is wide: Recovery Centers of America sits second at 3.3%, a 16.5-point separation. American Addiction Centers and The Recovery Village follow at 2.5% each.

Hazelden Betty Ford was also the strongest upward mover. Its coverage rose from 5.1% in September 2026 to 19.8% in October 2026, a gain of 14.7 points that was significant. Against the July 2026 baseline of 7.8%, the increase of 12.0 points was significant. The brand converted 24 valid recommendations in the qualified set, with 22 top-three placements and 19 rank-one placements.

The sharpest decline came from American Addiction Centers relative to the prior month. Coverage fell from 4.7% in August 2026 to 0.7% in September 2026, then recovered to 2.5% in October. Against the July baseline of 2.2%, the October result was up 0.3 points. No brand was classified as a significant decliner this month.

October 2026 completes the first four-month series for this vertical. The category began in July with Hazelden Betty Ford at 7.8% and now shows the same brand at 19.8%, a significant riser across the four-month series. The wider movement story is one of widening separation: the gap between Hazelden Betty Ford and both Gateway Foundation and Banyan Treatment Centers widened by 12.3 and 12.0 points respectively from July to October, though neither widened every month.

Each monthly run begins with 429 prompt-surface observations (340 unique questions) in July 2026 and 648 prompt-surface observations (501 unique questions) in October 2026 across the benchmark's defined AI/search surface universe. Of those, 429 mentioned a tracked brand or competitor in July and 644 did so in October; 152 were relevant and 277 were irrelevant in July, while 380 were relevant and 264 were irrelevant in October. The public metrics use the 90 observations that survived both qualification stages in July 2026 and the 121 that did so in October 2026. August and September contributed 127 and 136 qualified observations respectively.

Key Findings

AI Response Inconsistency Alerts

Five critical or high-severity factual inconsistencies were detected across four AI platforms: ChatGPT, Copilot, Google AI Mode, and Perplexity. Three companies had at least one high-confidence conflict. No consumers searching for rehab providers on these platforms can rely on a single answer without verification.

BrightView

A high-severity factual conflict concerned BrightView's pay frequency. When asked whether BrightView landscaping pays weekly, Google AI Mode stated the company "typically pays weekly, usually on Fridays via direct deposit," citing Indeed salary pages and the company's own site. Perplexity stated it "typically pays on a biweekly or semi-monthly basis rather than strictly weekly," citing ZipRecruiter salary pages for Ohio and New Jersey. A weekly schedule and a biweekly or semi-monthly schedule are mutually exclusive for the same company's standard pay frequency.

A second high-severity conflict concerned BrightView's largest outside investor. When asked who owns BrightView landscaping, ChatGPT named KKR & Co. as the largest shareholder at about 23.25% of common stock as of June 30, 2026, citing Investing.com and a SEC filing. Copilot named One Rock Capital Partners, citing a $500 million strategic investment in 2023, referencing the company's investor relations page. Both answers identify different companies as the largest outside shareholder, which cannot both be true. The flagged source on the One Rock side was a BrightView investor relations press release announcing the 2023 investment.

Hazelden Betty Ford

A high-severity pricing conflict concerned the cost of a 30-day residential program. When asked how much Betty Ford Clinic costs, Google AI Mode estimated "around $32,000 to $45,000," citing the organization's inpatient treatment page and third-party rehab directories. Copilot provided a range of "$30,000 and $60,000 for a 30-day inpatient stay, with Rancho Mirage often cited at ~$27,900," citing a consumer cost site and a treatment directory. Two flagged sources supported the Copilot side: a healthcare cost page citing $27,900 for a 30-day inpatient program and a consumer site citing the $30,000 to $60,000 range. The claimed ranges are incompatible: one caps at $45,000 while the other extends to $60,000 and cites a $27,900 figure below the other's minimum.

A second high-severity pricing conflict concerned outpatient costs. When asked how much Hazelden outpatient costs, ChatGPT stated intensive outpatient care runs about $4,000 to $5,000 per month, citing the organization's outpatient treatment page and a state board meeting document. Copilot stated intensive outpatient care runs approximately $10,000 to $28,000 per 30 days, citing third-party cost sites and treatment directories. A flagged source on the Copilot side placed the estimate at $10,000 to $28,000 per 30-day outpatient episode. The two monthly estimates differ by a factor of two to five for the same service period, so both cannot be accurate.

The Recovery Village

A high-severity eligibility conflict concerned Medicaid acceptance. When asked whether Recovery Village accepts insurance, ChatGPT stated the facility "accepts Medicaid plans in some states," citing the company's insurance coverage page. Copilot stated it "does not accept Medicaid," citing the same insurance page plus United Healthcare and Aetna network pages. A flagged source on the ChatGPT side referenced Colorado Access Medicaid; a flagged source on the Copilot side, from a different facility's insurance page, stated the facility is "not able to take Medicare or Medicaid." One answer states Medicaid is accepted in some states while the other states Medicaid is not accepted at all, which cannot both be true.

Benchmark Context

Questions This Section Answers

• How do the raw collection universe and the qualified benchmark set differ in this report?

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

The August 2026 collection reached 800 source prompts with 650 unique questions, and September reached 666 source prompts with 502 unique questions. Median monthly query volume across tracked prompts eased from 80 in July 2026 to 30 in October 2026, while the zero-volume prompt share narrowed from 17.8% to 16.5%. No instrument break occurred across the series.

Benchmark-Level Metrics

The recommendation-shaped answer share dipped to 7.1% in August and 2.2% in September before recovering sharply in October. The October shortlist share of 21.5% is the highest in the series.

AI Recommendation Trend

Questions This Section Answers

• Which brand leads in valid recommendation coverage, and how wide is the gap to the next brand?
• Which brands moved meaningfully in recommendation coverage between July and October 2026?

Hazelden Betty Ford extended its leadership with a significant gain, while the category shows a widening gap between the leader and the remaining tracked brands.

Valid Recommendation Coverage by Brand

One brand exceeded normal month-to-month variation relative to baseline: Hazelden Betty Ford. The category-level recovery in recommendation coverage came from the combination of several smaller upward movements alongside that significant gain, rather than from a single shift alone.

What Changed This Month

Questions This Section Answers

• Why did Hazelden Betty Ford's recommendation coverage surge in October despite flat raw mention presence?
• Why is American Addiction Centers mentioned so often but rarely recommended?
• Which brands saw recommendation coverage and raw presence move in opposite directions this month?

Hazelden Betty Ford

Hazelden Betty Ford's valid recommendation coverage rose from 5.1% in September 2026 to 19.8% in October 2026, a gain of 14.7 points that was significant. Against the July 2026 baseline of 7.8%, the increase of 12.0 points was also significant. The largest single-month move in the brand's series was 17.0 points.

The brand's top-three recommendation rate reached 18.2% in October, up from 7.8% at baseline, a gain of 10.4 points. Its rank-one rate rose to 15.7% from 7.8% at baseline, a gain of 7.9 points. Valid recommendations totaled 24 in the qualified set, with 22 top-three placements and 19 rank-one placements. Average recommended rank was 1.4.

The distinction to notice: raw mention presence eased to 49.6% in October from 53.3% at baseline, a decline of 3.7 points. The brand is not being mentioned more often; it is being recommended far more often when it is mentioned. Net sentiment rose from 0.3 at baseline to 0.6 in October.

Highest-priority diagnostic: Which prompt patterns and surface families drove the surge from 7 to 24 valid recommendations, and whether the gain is concentrated in a single AI surface or spread across several.

Recovery Centers of America

Recovery Centers of America rose from 2.2% coverage in July 2026 to 3.3% in October 2026, a gain of 1.1 points that was not significant. Against the prior month, coverage rose from 0.7% in September to 3.3% in October, a gain of 2.6 points.

The brand recorded 4 valid recommendations, 4 top-three placements, and 1 rank-one placement in October. Its rank-one rate reached 0.8%, up from 0.0% at baseline.

The distinction to notice: raw mention presence fell from 21.1% at baseline to 9.1% in October, a decline of 12.0 points. The brand is being mentioned less often across the full qualified set, yet it holds the second-highest recommendation coverage. This is the inverse of the pattern seen with American Addiction Centers.

Highest-priority diagnostic: Which prompts in the qualified set produced the four October recommendations, and whether those prompts represent a narrower but higher-converting slice of the category.

American Addiction Centers

American Addiction Centers rose from 2.2% coverage in July 2026 to 2.5% in October 2026, a gain of 0.3 points that was not significant. Against the prior month, coverage rose from 0.7% in September to 2.5% in October, a gain of 1.8 points. The brand's rank-one rate eased from 1.1% at baseline to 0.8%, a decline of 0.3 points.

The brand's raw mention presence was the highest in the category at 67.8%, up from 62.2% at baseline, a gain of 5.6 points. It recorded 3 valid recommendations, 3 top-three placements, and 1 rank-one placement. Net sentiment was 0.1.

The distinction to notice: American Addiction Centers is mentioned in more than two-thirds of qualified observations but converts to valid recommendations in only 2.5% of them. The gap between raw presence and recommendation coverage is the widest of any tracked brand, and it widened from July to October.

Highest-priority diagnostic: Which prompts produce mentions without recommendation placement, and which brands occupy the shortlist slots in those same observations.

The Recovery Village

The Recovery Village rose from 1.1% coverage in July 2026 to 2.5% in October 2026, a gain of 1.4 points that was not significant. Against the prior month, coverage rose from 0.0% in September to 2.5% in October, a gain of 2.5 points. The brand's rank-one rate reached 1.7%, up from 1.1% at baseline.

The brand recorded 3 valid recommendations, 3 top-three placements, and 2 rank-one placements. Raw mention presence fell from 36.7% at baseline to 31.4% in October, a decline of 5.3 points.

The distinction to notice: The Recovery Village returned to recommendation coverage after recording zero in September, but its raw presence continued to ease. The brand ended a one-month absence from shortlists while its broader visibility softened.

Highest-priority diagnostic: Which prompts produced the September-to-October recovery in recommendation placement, and whether those prompts overlap with the brand's easing presence base.

Caron Treatment Centers

Caron Treatment Centers rose from 0.0% coverage in July 2026 to 1.7% in October 2026, a gain of 1.7 points that was not significant. Against the prior month, coverage declined from 2.9% in September to 1.7% in October, a decline of 1.2 points. The brand now holds a two-month downward streak.

The brand recorded 2 valid recommendations, 1 top-three placement, and no rank-one placements. Raw mention presence rose from 3.3% at baseline to 5.8% in October, a gain of 2.5 points.

The distinction to notice: Caron Treatment Centers increased its raw presence while its recommendation coverage declined. The brand appears more often in answers but converts to fewer shortlist positions than in September. Net sentiment held at 0.7, the second-highest net sentiment in the category behind Phoenix House's 1.0.

Highest-priority diagnostic: Which September prompts dropped out of the recommendation set in October, and whether the brand's rising presence is reaching recommendation-eligible prompts.

Buyer-Intent Interpretation

Questions This Section Answers

• Which buyer-intent clusters does the qualified benchmark actually measure?
• What commercial questions about pricing, value, and head-to-head comparison remain unanswered?

In October 2026, all 121 qualified observations fell into the brand recommendation cluster. No qualified observations were recorded for pricing and value or multi-brand comparison in any month of the four-month series. While the raw collection included response types such as pricing analysis and comparison analysis, none qualified for the benchmark set. 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

Questions This Section Answers

• Which brands have a wide gap between raw presence and recommendation coverage?
• What diagnostic question does the benchmark flag for each tracked brand?

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 Visibility Market Discovery research program.

• AI Visibility Industry Market Methodology
• AI Visibility Industry Market Metrics
• AI Visibility Industry Market Standards

Report-Specific Interpretation Notes

• Small-count movement: Several brands, including Gateway Foundation, Caron Treatment Centers, The Recovery Village, Recovery Centers of America, and American Addiction Centers, have valid recommendation counts between 1 and 4. These movements are directional signals, not robust trends.
• Qualified denominator: Brand percentages are calculated within the qualified benchmark set (121 observations in October 2026), not the raw prompt collection (648 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.

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