Ria Health Appears in 2.0% of AI Answers. Here's Our Five-Step Plan to Improve Its AI Visibility.

Mark HuntleyBy Mark HuntleyFounder and CEO
9 minutes read

Key Takeaways

  • Ria Health was mentioned in 2 of 100 benchmark answers in November 2026, but it received no recommendations or top placements.
  • Monthly results were uneven: mentions returned in November after dropping to zero in October, while recommendations stayed at zero.
  • The first priority is to verify cited pages and any external claims before proposing website edits or publisher requests.
  • Buyer questions around online alcohol counseling and online alcohol treatment should guide new content briefs after existing pages are reviewed.

Answer Capsule

In November 2026, Ria Health appeared in 2 of 100 AI answers included in the Alcohol Rehab Centers benchmark (2.00%). It received 0 recommendations (0.00%), with 0 Top 3 placements and 0 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 Ria Health mentions, recommendations and placements compare with its Alcohol Rehab Centers peers?

Ria Health recorded 2 mentions (2.00%) and 0 recommendations (0.00%) across 100 answers included in the benchmark. Top 3 placements numbered 0; first-place recommendations numbered 0. Framing among its mentions was 0 positive, 2 neutral and 0 negative.

Rank

Company

Mentions

Mention rate

Recommendations

Recommendation rate

Top 3

Top 3 rate

#1

#1 rate

1

Hazelden Betty Ford

47

47.00%

3

3.00%

2

2.00%

2

2.00%

2

American Addiction Centers

88

88.00%

1

1.00%

0

0.00%

0

0.00%

2

Caron Treatment Centers

3

3.00%

1

1.00%

0

0.00%

0

0.00%

2

The Recovery Village

54

54.00%

1

1.00%

1

1.00%

0

0.00%

5

Banyan Treatment Centers

2

2.00%

0

0.00%

0

0.00%

0

0.00%

5

Footprints to Recovery

0

0.00%

0

0.00%

0

0.00%

0

0.00%

5

Gateway Foundation

1

1.00%

0

0.00%

0

0.00%

0

0.00%

5

Monument

0

0.00%

0

0.00%

0

0.00%

0

0.00%

5

Recovery Centers of America

10

10.00%

0

0.00%

0

0.00%

0

0.00%

5

Ria Health

2

2.00%

0

0.00%

0

0.00%

0

0.00%

Ria Health appears in the benchmark answers but is never endorsed. Mentions and recommendations are separate measures, and the gap between them is the central finding here: the company is present in the conversation without being put forward as a choice. That distinction should shape the target before any performance goal is set.

Neutral framing around the mentions suggests the answers treat Ria Health as one option among several rather than as a preferred provider. The agency would begin by documenting where the company surfaces and how it is described, so later work can be judged against a clear starting picture rather than an assumption.

What changed since last month

Questions This Section Answers

  • How did Ria Health counts and coverage differ across the available monthly snapshots?

Metric

Jul 2026

Aug 2026

Sep 2026

Oct 2026

Nov 2026

Mentions

3 / 66 (4.55%)

2 / 84 (2.38%)

2 / 80 (2.50%)

0 / 58 (0.00%)

2 / 100 (2.00%)

Recommendations

1 / 66 (1.52%)

1 / 84 (1.19%)

0 / 80 (0.00%)

0 / 58 (0.00%)

0 / 100 (0.00%)

Top 3 recommendations

1 / 66 (1.52%)

1 / 84 (1.19%)

0 / 80 (0.00%)

0 / 58 (0.00%)

0 / 100 (0.00%)

#1 recommendations

0 / 66 (0.00%)

0 / 84 (0.00%)

0 / 80 (0.00%)

0 / 58 (0.00%)

0 / 100 (0.00%)

From October 2026 to November 2026, Ria Health's mention count rose from 0 to 2, while its recommendation count stayed at 0. The recommendation rate was 0.00% and 0.00% respectively.

Across the monthly samples, mentions moved from absent in October to a small presence in November, while recommendations stayed at zero. The recommendation rate was zero in both months. These are separate selected samples, so the movement in mentions should be read as an observed change, not as evidence of a trend or of cause.

The earlier months show that recommendations were recorded at times, which means the current zero is a recorded absence rather than an impossible outcome. The agency would treat the monthly record as a series of snapshots and avoid drawing conclusions about direction until more comparable periods are available.

AI recommendation trend

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

0%0.5%1%1.5%2%Jul 2026Aug 2026Sep 2026Oct 2026Nov 20261.52%Jul 2026: 1.52%1.19%Aug 2026: 1.19%0.00%Sep 2026: 0.00%0.00%Oct 2026: 0.00%0.00%Nov 2026: 0.00%
  • Ria Health0.00%

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

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Step 1. Measure

Questions This Section Answers

  • What should the agency measure and verify first for Ria Health?

AI answers contained 0 conflicting claims about Ria Health: 0 critical, 0 high, 0 medium, 0 low. Of these, 0 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.

No conflicting claims about Ria Health were recorded in the captured answers, so there is no fact-check queue to work through at present. That is a useful baseline: it means the immediate task is comparison and monitoring rather than correction.

The agency would build a visibility comparison that sets Ria Health against the providers that do receive endorsements, and maintain a standing list of claims to verify as new answers are captured. This gives the client a way to spot emerging discrepancies early and to prioritize any future fact-checking by severity rather than by volume.

Step 2. Make the website consistent

Questions This Section Answers

  • Which recorded claim differences about Ria Health should be verified before proposed page edits?

No results are available for this part of the analysis.

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.

This part of the analysis returned no results, so there are no disputed topics to brief against yet. The agency would not treat that gap as a finding about the website. Instead, it would confirm the entity details and the dates attached to any future claims before deciding whether a page brief is warranted.

Where a discrepancy does appear, the first step is to resolve which company, product and time period the answer refers to. Only after that check would the agency propose a conditional page brief, and only where approved facts support the change.

Step 3. Align the external narrative

Questions This Section Answers

  • Which cited third-party pages are relevant to fact review for Ria Health?

Cited page selected for review

Citation appearances in all captured answers

Answers mentioning the company

Conflicting claims linked to this page

https://hazeldenbettyford.org/rehab-treatment/online-telehealth

7

2

0

https://alcoholtreatment.niaaa.nih.gov/telehealth-alcohol-treatment

5

2

0

https://americanaddictioncenters.org/telehealth

5

1

0

https://eleanorhealth.com/addiction-treatment

3

1

0

https://niaaa.nih.gov/publications/telehealth-options-alcohol-treatment

2

1

0

https://charliehealth.com/alcohol-treatment

1

1

0

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.

The cited pages selected for review are mostly third-party treatment providers and public health resources, and none carries a conflicting claim about Ria Health. Citation does not establish that a source influenced an answer, so the agency would review these pages for relevance and accuracy rather than assume they need changing.

Where a page is genuinely relevant to Ria Health's positioning, the agency would prepare an evidence-backed request to the publisher, framed as a suggestion with supporting material. Publishers control their own content, so requests are proposals, not corrections, and responses are recorded separately from confirmed edits.

Step 4. Optimize priority company pages

Questions This Section Answers

  • Which observed Ria Health 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://riahealth.com/

2

2

0

https://riahealth.com/blog/is-drinking-vodka-every-day-healthy/

1

0

0

The company's website was cited 3 times across 2 distinct page addresses; the table shows 2 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.

Ria Health's own site was cited in the captured answers, including the homepage and a blog article, but no recommending answer cited those pages. That does not mean the pages are weak; it means the citation record alone cannot tell us what role they played.

The agency would prepare page briefs that use approved company facts and address the questions buyers actually ask, starting with the pages already appearing in answers. Each brief would be checked against current page contents before any change is proposed, and existing coverage would be confirmed before new pages are suggested.

Step 5. Publish around buyer questions

Questions This Section Answers

  • Which observed buyer questions support content briefs for Ria Health?

Question observed in the research

Benchmark answers to this question

Company mentions

Company recommendations

online alcohol counseling

1

1

0

online alcohol treatment

1

1

0

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

The recorded questions concern online alcohol counseling and online alcohol treatment, and Ria Health was mentioned in answers to both without being recommended. These are answer observations, not search volume or proof that the website lacks matching content.

The agency would turn these questions into content briefs that answer them directly and plainly, using approved facts and the language buyers use. Before proposing anything new, it would check whether existing pages already cover the question well, and it would treat the briefs as proposed work rather than as a response to measured demand.

Our 90-day action plan

Questions This Section Answers

  • How should the agency sequence the proposed Ria Health 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: a scorecard, a scoped fact-review register and a shortlist of pages and sources, each with an owner, an evidence requirement and a review status. This creates the record against which later work is judged.

The second month produces approved page briefs and justified publisher requests, with confirmed edits, no-change decisions, requests and responses recorded separately. The third month adds buyer-content briefs and a fresh scorecard. Completed work is reported apart from measured answer outcomes, and no visibility gain is promised.

Methodology

Questions This Section Answers

  • How are Ria Health 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 100 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 800 captured answers and 5223 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

Jul 2026

66

4

ChatGPT, Gemini, Google AI Mode, Google AI Overviews

Aug 2026

84

5

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

Sep 2026

80

5

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

Oct 2026

58

5

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

Nov 2026

100

5

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

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

The answers were captured under the benchmark's inclusion rules, and the exact collection dates have not been verified. Mentions and recommendations are counted separately, and an answer can name several companies, so company counts do not add up to a number of distinct answers.

Monthly samples differ in size and service coverage, so comparisons describe recorded movement only and do not explain why results changed. Cited pages and any disputed claims still require independent verification before action.

Our first three priorities

The first priority is to establish a clean baseline that separates mentions from recommendations, so the client can see where Ria Health is present and where it is endorsed. This is measurement work, not a performance claim.

The second is to review the pages already cited in answers and confirm their current contents before proposing any brief or publisher request. The third is to prepare buyer-question content on online alcohol counseling and online alcohol treatment, checking existing coverage first. Together these give the client a defensible starting point for the coming months.

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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.

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