CiteWorks Studio

Discovery Mood & Anxiety AI Market Strategy Report - Mental Health Treatment Centers

Mark HuntleyBy Mark HuntleyFounder and CEO
10 minutes read

Key Takeaways

  • Discovery Mood & Anxiety appeared in 2.4% of qualified observations and earned 0.9% valid recommendation coverage in September 2026.
  • Google AI Overviews generated all recommendation activity for the brand, including 2 valid recommendations and its only top-three placement.
  • The brand had no presence across ChatGPT, Copilot, and Perplexity, pointing to a weak public source footprint on those platforms.
  • The main opportunity is to turn early Google AI Overviews visibility into broader recommendation coverage for high-intent treatment center discovery prompts.

Answer Capsule

Discovery Mood & Anxiety holds a minimal position in AI-generated recommendations for mental health treatment centers, appearing in only 2.4% of qualified observations and earning valid recommendation coverage of 0.9% in September 2026. The brand entered the benchmark in August 2026 and has maintained a small but stable base of 2 valid recommendations, with no rank-one placements. Its clearest weakness is the gap between presence and recommendation conversion, where the brand is named in AI answers but rarely shortlisted. The clearest opportunity lies in converting its emerging presence in Google AI Overviews into consistent recommendation coverage across high-intent discovery prompts.

Who This Report Is For

This report is for marketing, admissions, and digital strategy leaders at Discovery Mood & Anxiety who need to understand how AI search and assistant platforms currently discover, mention, and recommend the brand in mental health treatment center queries.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

Discovery Mood & Anxiety

Category / market studied

Mental Health Treatment Centers

Reporting month

September 2026

AI platforms tracked

6 (ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, AI Mode)

Public high-intent clusters

1

AI observations analyzed

211

Competitors tracked

10

Executive Summary

Discovery Mood & Anxiety operates at the edge of the mental health treatment center benchmark, with raw mention presence of 2.4% and valid recommendation coverage of 0.9% across 211 qualified observations in September 2026. The brand recorded 5 total mentions, split between 3 positive and 2 neutral, with no negative framing. This places Discovery Mood & Anxiety in a tie with Newport Healthcare at the bottom of the tracked brand universe, well behind category leader McLean Hospital at 39.3% valid recommendation coverage.

The strongest signal for Discovery Mood & Anxiety is its presence in Google AI Overviews, where the brand appeared in 3 of 73 observations and earned 2 valid recommendations. This platform accounts for all of the brand's recommendation activity, including its only top-three placement. Google AI Mode produced a single neutral mention with no recommendation, while Gemini contributed one neutral mention. ChatGPT, Copilot, and Perplexity returned no Discovery Mood & Anxiety presence in the September benchmark.

The weakest cluster is the only cluster with qualified observations: Best Mental Health Treatment Centers, Discovery and Evaluation. Within this discovery cluster, Discovery Mood & Anxiety holds a 0.9% valid recommendation coverage rate, meaning the brand is almost never shortlisted when AI systems answer high-intent treatment center questions. The brand has no presence in comparison or pricing clusters, though the public benchmark does not yet contain qualified observations for those buyer-intent classes.

The clearest platform gap is the absence of Discovery Mood & Anxiety from ChatGPT, Copilot, and Perplexity entirely. These platforms produced no mentions of the brand across 55 combined observations, indicating that the public evidence layer AI systems retrieve from does not currently surface Discovery Mood & Anxiety in those environments.

What Discovery Mood & Anxiety Is Winning

Discovery Mood & Anxiety has one narrow but meaningful recommendation pocket: Google AI Overviews. The brand earned 2 valid recommendations from 3 mentions on this platform, a conversion rate that outperforms its overall presence-to-recommendation pattern. Both recommendations carried positive framing, and one reached a top-three position at rank three.

The brand also maintains a clean framing profile. Across all 5 mentions in September 2026, Discovery Mood & Anxiety recorded zero negative mentions. Its net sentiment score of 0.60 reflects positive framing when the brand does appear, which provides a foundation for future recommendation growth.

These wins are limited. Discovery Mood & Anxiety has the smallest presence base among tracked brands, and its recommendation activity rests on a very small number of observations. The positive signal in Google AI Overviews is real but not yet durable.

Where Discovery Mood & Anxiety Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Where is Discovery Mood & Anxiety mentioned without being recommended?
  • On which platforms is the brand completely absent, and how does that compare with competitors?

Discovery Mood & Anxiety shows visibility without recommendation conversion in Google AI Mode. The brand appeared once on this platform with neutral framing and received no recommendation, a pattern that suggests AI systems can retrieve the brand name but do not yet treat it as a shortlist candidate.

The larger gap is total absence across ChatGPT, Copilot, and Perplexity. These three platforms produced no Discovery Mood & Anxiety mentions across 55 combined observations in September 2026. Competitors such as McLean Hospital appeared in 44.4% of ChatGPT observations and 54.5% of Copilot observations, while The Menninger Clinic reached 33.3% presence on ChatGPT. Discovery Mood & Anxiety is not part of the source footprint these platforms draw from.

The brand also lacks rank-one presence entirely. Its only top-three placement came at rank three in Google AI Overviews, and no AI platform has yet positioned Discovery Mood & Anxiety as the first recommendation in any qualified observation. Even Newport Healthcare, which shares the same 0.9% coverage rate, recorded one rank-one placement.

Biggest Opportunity

Questions This Section Answers

  • What is the highest-leverage path to expanding Discovery Mood & Anxiety's recommendation coverage?

The clearest opportunity for Discovery Mood & Anxiety is converting its Google AI Overviews presence into consistent recommendation coverage across the discovery cluster. The brand already demonstrates that AI systems will recommend it when surfaced, with 2 of 3 Google AI Overviews mentions producing valid recommendations. The challenge is expanding the number of prompts where the brand appears at all.

This requires building the public evidence layer that AI systems retrieve from, so that Discovery Mood & Anxiety becomes a candidate in more high-intent discovery prompts rather than appearing only in isolated responses. The brand's current presence rate of 2.4% means it is absent from roughly 97 of every 100 qualified observations, and closing that gap in the discovery cluster is the highest-leverage path to recommendation growth.

Competitive Landscape

Questions This Section Answers

  • Where does Discovery Mood & Anxiety rank among tracked mental health treatment centers by recommendation coverage and top-three rate?

McLean Hospital holds dominant recommendation-stage strength in the mental health treatment center category at 39.3% valid recommendation coverage, followed by Skyland Trail at 20.8% and The Menninger Clinic at 18.0%. Discovery Mood & Anxiety sits at the bottom of the tracked set alongside Newport Healthcare, with minimal recommendation presence.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

McLean Hospital

31.75%

21.33%

1.61

0.7907

Skyland Trail

13.27%

3.32%

2.79

0.8491

Silver Hill Hospital

10.90%

0.95%

2.70

0.9459

The Menninger Clinic

10.90%

1.90%

2.97

0.8776

Rogers Behavioral Health

7.11%

1.42%

2.47

0.7333

Lindner Center of HOPE

5.69%

0.95%

2.71

0.6800

Sierra Tucson

5.21%

1.42%

3.35

0.9000

Acadia Healthcare

0.95%

0.00%

3.00

0.3478

Discovery Mood & Anxiety

0.47%

0.00%

3.00

0.6000

Newport Healthcare

0.47%

0.47%

2.50

0.6000

Average recommended rank covers rank-eligible recommendations only.

Discovery Mood & Anxiety holds the lowest top-three rate in the tracked set at 0.47%, tied with Newport Healthcare, and is one of two brands with no rank-one placements. Its average recommended rank of 3.00 comes from a single rank-eligible recommendation, a base too small to read as a stable positioning signal.

Prompt Evidence

Google AI Overviews / Best Mental Health Treatment Centers, Discovery and Evaluation Prompt: "iop program" Result: Discovery Mood & Anxiety appeared in a positive mention and received a valid recommendation at rank three, its strongest placement in the benchmark.

Google AI Overviews / Best Mental Health Treatment Centers, Discovery and Evaluation Prompt: "depression treatment near me" Result: The brand received a positive mention and a valid recommendation, though outside the top-three range.

Google AI Mode / Best Mental Health Treatment Centers, Discovery and Evaluation Prompt: "psychiatric hospital" Result: Discovery Mood & Anxiety was mentioned once with neutral framing and received no recommendation, showing presence without shortlist conversion.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the specific prompts where Discovery Mood & Anxiety appears and the competitor that takes the recommendation when the brand is absent.

Phase 2: Recommendation Readiness Plan Identify which high-intent discovery prompts offer the clearest path from mention to recommendation, starting with the Google AI Overviews patterns that already work.

Phase 3: Owned Answer Layer Buildout Develop condition-specific and program-specific content that gives AI systems clear, retrievable answers for the treatment areas Discovery Mood & Anxiety serves.

Phase 4: Citation / Authority Layer Development Strengthen the external source footprint so that ChatGPT, Copilot, and Perplexity can retrieve the same evidence that Google AI Overviews currently surfaces.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track whether presence gains convert into recommendation coverage or remain mentions without shortlist placement.

Why This Matters

AI systems are now the first stop for many families researching mental health treatment options, and the brands that appear in recommendation shortlists shape the consideration set before a human conversation ever begins. Discovery Mood & Anxiety is currently present in only a small fraction of those AI-generated answers, and even when present, the brand is rarely recommended.

Presence alone is not enough. The benchmark shows that Discovery Mood & Anxiety can be mentioned without being chosen, and that its only reliable recommendation signal comes from a single platform. The next move is targeted correction of the prompt, page, and citation layers so that the brand appears in more high-intent discovery answers and converts those appearances into recommendation placements.

Core Metrics

Metric

Value

Mentions

5

Valid recommendations

2

Top 3 recommendation count

1

Rank #1 recommendation count

0

Average recommended rank

3.00

Positive mentions

3

Neutral mentions

2

Negative mentions

0

Raw mention presence rate

2.37%

Valid recommendation coverage

0.95%

Top 3 recommendation rate

0.47%

Rank #1 recommendation rate

0.00%

Net sentiment score

0.60

Strongest cluster by recommendation behavior

Best Mental Health Treatment Centers, Discovery and Evaluation

Strongest platform by recommendation behavior

Google AI Overviews

Sentiment Score

Questions This Section Answers

  • How is the sentiment score calculated, and why does classified framing matter more than raw mention counts?

Sentiment Score = (positive mentions × 1 + neutral mentions × 0 + negative mentions × -1) / total mentions

For Discovery Mood & Anxiety, the calculation is (3 × 1 + 2 × 0 + 0 × -1) / 5, producing a net sentiment score of 0.60.

This score matters because unclassified mention counts are misleading. A brand with high raw presence but mostly neutral or negative framing is in a weaker position than the raw number suggests. Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, neutral reference, cautionary mention, and competitor-displaced mention are not equal, and counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because the same presence rate can reflect very different competitive positions depending on how the brand is framed.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

0

0

0

0

N/A

No public presence in this packet

Copilot

0

0

0

0

N/A

No public presence in this packet

Gemini

1

0

1

0

0.00

Present as context, not recommendation

Perplexity

0

0

0

0

N/A

No public presence in this packet

Google AI Mode

1

0

1

0

0.00

Present as context, not recommendation

Google AI Overviews

3

3

0

0

1.00

Strongest public recommendation signal

Methodology

  1. This report is a benchmark-based analysis of Discovery Mood & Anxiety's AI market position within the Mental Health Treatment Centers vertical, produced from the LLM Authority Index AI Market Discovery Index and supporting metrics aggregation. It is not a client implementation case study.
  2. The reporting window is September 2026, with July 2026 and August 2026 referenced for movement context where the public benchmark provides historical readings.
  3. Six AI/search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
  4. The September 2026 benchmark collected 600 prompt-surface observations across 381 unique questions. Of these, 460 were relevant and 140 were excluded as off-topic.
  5. The public metrics in this report use the 211 qualified observations that survived both qualification stages as the denominator for all brand-level percentages.
  6. The competitor universe includes 10 tracked brands: Acadia Healthcare, Discovery Mood & Anxiety, Lindner Center of HOPE, McLean Hospital, Newport Healthcare, Rogers Behavioral Health, Sierra Tucson, Silver Hill Hospital, Skyland Trail, and The Menninger Clinic.
  7. All qualified observations in September 2026 fell into the Brand Recommendation buyer-intent class. The public benchmark does not yet contain qualified observations for pricing or multi-brand comparison queries.
  8. A mention is defined as any qualified observation where the brand appears in any capacity, whether positive, neutral, or negative.
  9. A valid recommendation is defined as a qualified observation where the brand appears in a recommendation shortlist with positive framing. Neutral mentions, cautionary mentions, and comparison-anchor mentions are not counted as valid recommendations.
  10. Several brands in this vertical operate on small absolute counts. Discovery Mood & Anxiety has 2 valid recommendations in September 2026, and its percentage movements should be read with that limitation in mind.
  11. The benchmark identifies movement worth investigating; it does not establish cause. A change in recommendation coverage can reflect AI system behavior, underlying source material, prompt composition, or measurement effects that the public benchmark cannot separate.
  12. Source presence is evidence about the information environment. It is not automatically proof that a source caused a recommendation.

Get Your AI Visibility Audit

The public benchmark shows where Discovery Mood & Anxiety stands in AI-generated recommendations, but the prompt-level detail behind those numbers determines the path forward. A company-specific AI visibility audit maps the exact prompts, competitor displacements, and evidence sources shaping Discovery Mood & Anxiety's AI recommendation footprint, and turns that detail into a prioritized visibility strategy.

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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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