The Recovery Village Appears in 27.3% of AI Answers. Here's Our Five-Step Plan to Improve Its AI Visibility.

Mark HuntleyBy Mark HuntleyFounder and CEO
10 minutes read

Key Takeaways

  • The Recovery Village is mentioned in 27.25% of benchmark answers, but only 3.52% of answers recommend it.
  • The main issue is the gap between being mentioned and being actively endorsed.
  • High-priority fact checks center on conflicting insurance-acceptance claims, especially Medicare and Medicaid.
  • Priority website pages and buyer questions cluster around insurance coverage and withdrawal timelines.

Answer Capsule

In November 2026, The Recovery Village appeared in 124 of 455 AI answers included in the Drug Rehab Centers benchmark (27.25%). It received 16 recommendations (3.52%), with 15 Top 3 placements and 2 first-place recommendations. A mention means the company appeared in an answer; a recommendation means the answer affirmatively endorsed it.

Our plan compares the company with its competitors, checks conflicting AI claims against reliable sources, and identifies website pages, third-party sources and buyer questions to address. The historical results show how the figures changed across available months. Different monthly samples limit those comparisons, and conflicting AI claims require verification before corrections are proposed.

Current AI visibility

Questions This Section Answers

  • How do The Recovery Village mentions, recommendations and placements compare with its Drug Rehab Centers peers?

The Recovery Village recorded 124 mentions (27.25%) and 16 recommendations (3.52%) across 455 answers included in the benchmark. Top 3 placements numbered 15; first-place recommendations numbered 2. Framing among its mentions was 17 positive, 107 neutral and 0 negative.

Rank

Company

Mentions

Mention rate

Recommendations

Recommendation rate

Top 3

Top 3 rate

#1

#1 rate

1

Hazelden Betty Ford

162

35.60%

30

6.59%

29

6.37%

19

4.18%

2

American Addiction Centers

241

52.97%

19

4.18%

18

3.96%

12

2.64%

3

The Recovery Village

124

27.25%

16

3.52%

15

3.30%

2

0.44%

4

Recovery Centers of America

52

11.43%

9

1.98%

8

1.76%

1

0.22%

5

Caron Treatment Centers

21

4.62%

7

1.54%

5

1.10%

0

0.00%

6

Banyan Treatment Centers

29

6.37%

1

0.22%

1

0.22%

0

0.00%

6

Gateway Foundation

10

2.20%

1

0.22%

1

0.22%

0

0.00%

8

BrightView

34

7.47%

0

0.00%

0

0.00%

0

0.00%

8

Footprints to Recovery

0

0.00%

0

0.00%

0

0.00%

0

0.00%

8

Phoenix House

10

2.20%

0

0.00%

0

0.00%

0

0.00%

The Recovery Village appears in roughly a quarter of the benchmark answers, which puts it third among the tracked companies and well behind the two leaders. Its recommendation count is modest, and first-place endorsements are rare. The gap between being mentioned and being actively recommended is the central business issue here.

Framing is overwhelmingly neutral, with no negative mentions recorded. That is a stable base, but neutral wording does not convert into endorsement. The agency would treat the recommendation gap, not the mention gap, as the priority, and would build a scorecard that tracks mentions, recommendations and placements as separate measures so progress is read correctly.

What changed since last month

Questions This Section Answers

  • How did The Recovery Village counts and coverage differ across the available monthly snapshots?

Metric

Aug 2026

Oct 2026

Nov 2026

Mentions

47 / 127 (37.01%)

38 / 121 (31.40%)

124 / 455 (27.25%)

Recommendations

4 / 127 (3.15%)

3 / 121 (2.48%)

16 / 455 (3.52%)

Top 3 recommendations

0 / 127 (0.00%)

3 / 121 (2.48%)

15 / 455 (3.30%)

#1 recommendations

0 / 127 (0.00%)

2 / 121 (1.65%)

2 / 455 (0.44%)

Only months with verified results are shown. Monthly sample coverage is listed in Methodology.

From October 2026 to November 2026, The Recovery Village's mention count rose from 38 to 124, while its recommendation count rose from 3 to 16. The recommendation rate was 2.48% and 3.52% respectively.

The November sample is much larger than the two earlier months, so the higher mention and recommendation counts are not directly comparable with August or October. The recommendation rate moved within a narrow band across the three samples. The first-place rate, by contrast, was lower in November than in October.

Because each month is a separate selected sample, these movements describe what was recorded, not why. The agency would present the monthly record as a trend to watch rather than a verdict, and would avoid drawing conclusions about direction until comparable samples are available.

AI recommendation trend

Observed recommendation rate (%), Aug 2026 to Nov 2026

0%1%2%3%4%Aug 2026Oct 2026Nov 20263.15%Aug 2026: 3.15%2.48%Oct 2026: 2.48%3.52%Nov 2026: 3.52%
  • The Recovery Village3.52%

Separate selected monthly samples. Missing points are unavailable, not zero. Provider/prompt equivalence is unverified; rate movement does not demonstrate causation.

/ 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.

Step 1. Measure

Questions This Section Answers

  • What should the agency measure and verify first for The Recovery Village?

AI answers contained 3 conflicting claims about The Recovery Village: 0 critical, 3 high, 0 medium, 0 low. Of these, 3 were rated critical or high priority; the critical claims are included in that total. These ratings help prioritize fact-checking. They do not establish that a company or publisher made an error.

Three claims about The Recovery Village were flagged as high priority for fact-checking, all touching on insurance acceptance. These ratings indicate where verification effort is most useful; they do not establish that the company or any publisher got something wrong. The claims may reflect outdated information, facility-level variation or simple misstatement.

The agency would start with a visibility comparison that sets the company against its closest competitors on mentions and recommendations, then pair it with a short list of claims to verify. That combination lets the client see where it stands and what needs checking before any public correction is considered.

Step 2. Make the website consistent

Questions This Section Answers

  • Which recorded claim differences about The Recovery Village should be verified before proposed page edits?

Review topic

Severity

Recorded AI claim A

Recorded AI claim B

Medicare/Medicaid acceptance

high

Does not accept Medicare or Medicaid

Accepts several Medicaid plans at specific facilities

Medicare/Medicaid acceptance

high

Does not accept Medicare or Medicaid

Accepts several Medicaid plans at specific facilities

Medicare/Medicaid acceptance

high

Does not accept Medicare or Medicaid

Accepts several Medicaid plans at specific facilities

Both columns quote AI answers, not verified company facts. Resolve the entity, date and source before deciding whether a correction is warranted; different dates can explain an apparent conflict.

The disputed claims concern whether The Recovery Village accepts Medicare and Medicaid, with recorded answers pointing in opposite directions. Both sides are AI output, not verified fact, so the first task is to confirm the entity, the date and the source behind each statement. Different dates or different facilities could explain an apparent conflict without anyone being wrong.

The agency would prepare page briefs only after that verification, using approved facts about insurance acceptance. Where the current site already answers the question clearly, the brief would focus on making that answer easier for AI systems to find and quote rather than adding new claims.

Step 3. Align the external narrative

Questions This Section Answers

  • Which cited third-party pages are relevant to fact review for The Recovery Village?

Cited page selected for review

Citation appearances in all captured answers

Answers mentioning the company

Conflicting claims linked to this page

https://palmerlakerecovery.com/admissions/insurance/

3

3

2

https://recoverysalem.com/admissions/insurance/

2

2

2

https://columbusrecoverycenter.com/admissions/insurance/

2

2

1

https://naatp.org/resources/addiction-industry-directory/39548/the-recovery-village-indianapolis-drug-and-alcohol-rehab

2

2

1

https://recoverysouthatlanta.com/admissions/insurance/

2

2

1

https://ridgefieldrecovery.com/admissions/insurance/

2

2

1

These pages were selected because they relate to the company in the captured answers. Their current contents still need checking before any correction request. A page linked to a conflicting claim is not necessarily its cause, and the same answer may contribute to more than one row.

Several cited pages relate to insurance and admissions, and some are tied to the conflicting coverage claims. A page being cited alongside a claim does not make it the cause, and the same answer can touch more than one page. The current contents of these pages still need independent checking.

The agency would review each selected source directly, confirm what it currently says, and only then decide whether a correction request is justified. Requests would be evidence-backed and specific, and the client would see a clear record of what was confirmed, what was left unchanged and what was requested.

Step 4. Optimize priority company pages

Questions This Section Answers

  • Which observed The Recovery Village website pages should receive review briefs?

Company website page

Citation appearances in all captured answers

Benchmark answers citing the page

Recommending answers citing the page

https://therecoveryvillage.com/cocaine-addiction/how-long-does-stay-in-your-system/

15

14

0

https://therecoveryvillage.com/admissions/insurance/

7

7

0

https://therecoveryvillage.com/

6

5

0

https://therecoveryvillage.com/gabapentin-addiction/how-long-stay-in-system/

6

2

0

https://therecoveryvillage.com/air-duster-abuse/how-long-stay-in-system/

4

4

0

https://therecoveryvillage.com/alcohol-abuse/ulcer-from-drinking/

3

2

0

https://therecoveryvillage.com/marijuana-addiction/how-long-does-marijuana-stay-system/

3

3

0

https://therecoveryvillage.com/adderall-addiction/adhd-and-adderall/

2

0

0

The company's website was cited 142 times across 83 distinct page addresses; the table shows 8 pages selected for review. Zeros in the answer columns mean no matching answers were recorded. A cited page is not automatically a page that accompanied a recommendation.

The company site is cited widely, and the pages selected for review cluster around withdrawal timelines and insurance. Those pages are cited in benchmark answers but not in recommending answers, which suggests they inform answers without accompanying an endorsement. That is a useful distinction, not a fault in the pages.

The agency would write page briefs for the priority pages using approved facts and the questions buyers actually ask. Each brief would state what the page should answer plainly, so the content is easier to quote accurately, while leaving the existing page structure intact where it already works.

Step 5. Publish around buyer questions

Questions This Section Answers

  • Which observed buyer questions support content briefs for The Recovery Village?

Question observed in the research

Benchmark answers to this question

Company mentions

Company recommendations

rehabs that accept optum

2

2

2

What rehab has the highest success rate?

2

1

1

mental health rehab near me

1

1

1

rehab centers that accept humana

1

1

1

rehabs accepting cigna

1

1

1

rehabs covered by compsych

1

1

1

rehabs covered by guidewell

1

1

1

rehabs covered by optum

1

1

1

These are recorded answer observations, not search volume, verified demand, or proof of missing website content.

The recorded questions concentrate on insurance plans and on finding a rehab with strong outcomes. The Recovery Village was mentioned and recommended in the small number of answers to these questions, which is encouraging but based on very few observations. These are answer observations, not search volume or proof of demand.

The agency would check whether the site already covers each plan and question before proposing anything new. Where coverage exists, the work becomes a brief to sharpen the existing page; where it does not, a new buyer-question page would be proposed with the same approved-facts discipline.

Our 90-day action plan

Questions This Section Answers

  • How should the agency sequence the proposed The Recovery Village work and judge completion?

Period

Deliverable

Completion criterion

Days 1–30

Baseline scorecard, scoped fact-review register and page/source shortlist

Each record has an owner, evidence requirement and review status

Days 31–60

Approved page briefs and justified publisher requests

Separate confirmed edits, no-change decisions, requests and responses

Days 61–90

Buyer-content briefs and a fresh scorecard

Record work completed separately from measured answer outcomes and comparability limits

The first month establishes the baseline scorecard, a scoped fact-review register and a shortlist of pages and sources, each with an owner and a review status. The second month turns verified facts into approved page briefs and justified publisher requests, with confirmed edits, no-change decisions and responses recorded separately.

The third month adds buyer-content briefs and a fresh scorecard. Completed work would be reported apart from measured answer outcomes, and the comparability limits between samples would stay visible so no one reads delivered work as a guaranteed visibility gain.

Methodology

Questions This Section Answers

  • How are The Recovery Village answer metrics and citation populations defined?

This report covers 2026-11. The exact dates when the original AI answers were collected have not been verified. The visibility rates use 455 answers that met the benchmark's inclusion rules. A company is recommended only when the answer both endorses it and uses positive wording. Top 3 and first-place counts are part of those recommendations, not extra recommendations.

An answer can mention or recommend several companies, so company counts cannot be added to find the number of distinct answers. The net sentiment score is positive minus negative mentions, divided by all company mentions; it describes answer wording, not customer satisfaction.

The wider citation analysis covers 715 captured answers and 3561 appearances of cited URLs. Citation appearances across all captured answers differ from the number of benchmark answers citing a page and the number that also recommend a company. The current contents of cited pages and disputed company claims still need independent verification.

Monthly sample coverage:

Reporting month

Answers included

AI services covered

Services

Aug 2026

127

6

ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity

Oct 2026

121

6

ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity

Nov 2026

455

6

ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity

Reliable results for July 2026 are unavailable. This is a gap in the history, not a result of zero. Reliable results for September 2026 are unavailable. This is a gap in the history, not a result of zero.

The answer samples differ between months. These comparisons show how the recorded results changed; they do not establish why they changed.

The monthly samples differ in size and composition, so comparisons show how recorded results changed, not why. Mentions and recommendations are counted per company, and an answer can cover several companies, so counts cannot be added to reach a number of answers. Recommendations require both endorsement and positive wording, and placements sit inside recommendations rather than alongside them.

The collection dates of the original answers are unverified, and the current contents of cited pages and disputed claims still need independent checking. Missing months are gaps in the record, not zero results.

Our first three priorities

First, verify the insurance-acceptance claims against current primary sources before any correction is considered, and keep ambiguous matches out of the queue. Second, review the cited insurance and admissions pages directly, then decide which publisher requests are justified and which need no action. Third, brief the priority company pages and the buyer questions around plan coverage so the site answers them plainly with approved facts.

Each step produces a record the client can act on, and none of them promises a visibility gain on its own.

/ 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.

Archived editions

Browse earlier published research snapshots for this article. The latest edition remains at the current URL.

VIEW ALL CASE STUDIESREQUEST AN AI VISIBILITY AUDIT