CiteWorks Studio

Yes Hearing AI Market Strategy Report - Hearing Aids

Mark HuntleyBy Mark HuntleyFounder and CEO
8 minutes read

Key Takeaways

  • Yes Hearing recorded 8 mentions across 517 qualified observations, a 1.55% presence rate, but converted none into valid recommendations.
  • All Yes Hearing mentions were neutral and appeared only on Copilot, with no visibility on ChatGPT, Gemini, Perplexity, AI Overviews, or AI Mode.
  • The main gap is not negative sentiment but lack of authority signals, third-party citations, and review evidence needed for recommendation inclusion.
  • In a category led by Jabra Enhance, Yes Hearing remains absent from buyer shortlists, indicating a need to move from basic mentionability to recommendation readiness.

Answer Capsule

Yes Hearing holds negligible recommendation-stage visibility in the Hearing Aids category, with zero valid recommendations across all 517 qualified observations in September 2026. The brand appears in only 8 of 517 observations, all neutral in framing, meaning AI systems mention Yes Hearing without ever recommending it. The clearest weakness is the complete absence of recommendation conversion, while the clearest opportunity lies in building the citation and authority layer needed to move from neutral reference to shortlist inclusion.

Who This Report Is For

This report is for marketing, brand, and growth leaders at Yes Hearing who need to understand why the brand is referenced but never recommended by AI systems during hearing aid discovery.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

Yes Hearing

Category / market studied

Hearing Aids

Reporting month

September 2026

AI platforms tracked

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

Public high-intent clusters

1

AI observations analyzed

517

Competitors tracked

10

Executive Summary

Yes Hearing has a presence problem that is more fundamental than weak recommendation placement. The brand appears in just 8 of 517 qualified observations, a raw mention presence rate of 1.55%, and every one of those mentions is neutral in framing. There are no positive mentions, no negative mentions, and no valid recommendations. AI systems are not arguing against Yes Hearing; they are barely aware it exists.

The benchmark shows that all 517 qualified observations in September 2026 fell into the Brand Recommendation cluster, meaning buyers are asking AI systems which hearing aid to choose. Yes Hearing is not part of the answer set. Jabra Enhance leads the category with 70.6% valid recommendation coverage, while Yes Hearing sits at 0.0% alongside Nano Hearing Aids.

The strongest platform signal for Yes Hearing is Copilot, where all 8 neutral mentions occurred. The brand has no presence on ChatGPT, Gemini, Perplexity, AI Overviews, or AI Mode. The clearest gap is the absence of any positive framing or recommendation anywhere in the tracked surface universe.

The evidence suggests Yes Hearing has not yet built the public evidence layer that AI systems draw on when forming hearing aid recommendations. The brand is visible enough to be named in passing on one platform, but not credible enough to be shortlisted anywhere.

What Yes Hearing Is Winning

Yes Hearing has no measurable wins in the September 2026 benchmark. The brand recorded zero valid recommendations, zero top-three placements, zero rank-one placements, and zero positive mentions.

The only favorable signal is the absence of negative framing. Yes Hearing has no negative mentions across the 517 qualified observations, meaning AI systems do not caution buyers against the brand. This is a neutral starting point rather than an asset, but it means the brand is not fighting unfavorable associations.

Where Yes Hearing Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • How does Yes Hearing's raw mention presence compare with its recommendation coverage?
  • Which AI platforms account for all of Yes Hearing's mentions, and where is the brand absent?

Yes Hearing has the clearest visibility gap in the entire tracked field. The brand's raw mention presence rate of 1.55% places it ahead of only Nano Hearing Aids at 1.16%, and its valid recommendation coverage of 0.0% is tied for last.

The gap between presence and recommendation is the core problem. Yes Hearing is mentioned 8 times, all neutral, and never converted into a recommendation. By contrast, Jabra Enhance appears in 91.49% of observations and converts 77.17% of those mentions into valid recommendations. Even ZipHearing, which holds a modest 8.51% presence rate, converts 22.73% of its mentions into recommendations.

Copilot accounts for all 8 Yes Hearing mentions, meaning the brand has no presence on ChatGPT, Gemini, Perplexity, AI Overviews, or AI Mode. When buyers ask those platforms for hearing aid recommendations, Yes Hearing does not appear at all. The brand is effectively invisible across five of the six tracked AI surface families.

Biggest Opportunity

Questions This Section Answers

  • What would Yes Hearing need to build in order to earn its first valid AI recommendations?

The single biggest opportunity for Yes Hearing is building the citation and authority layer needed to earn its first valid recommendations. The brand currently exists only as a neutral reference on Copilot, which suggests AI systems can retrieve basic information about Yes Hearing but do not find enough independent, credible evidence to recommend it.

The path forward is not broader visibility but deeper authority. Yes Hearing needs the kind of third-party coverage, expert citations, comparison inclusions, and review signals that give AI systems a defensible basis for recommending the brand. Until that public evidence layer exists, the brand will continue to be mentioned in passing without ever being chosen.

Competitive Landscape

Questions This Section Answers

  • Where does Yes Hearing sit in the competitive field for top-three and rank-one recommendation rates?

Jabra Enhance holds dominant recommendation-stage strength in the Hearing Aids category, with Eargo and Audien Hearing occupying the middle tier. Yes Hearing sits at the bottom of the tracked field with no recommendation coverage at all.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Yes Hearing

0.00%

0.00%

0.0000

Jabra Enhance

60.74%

41.78%

1.5182

0.8478

Eargo

26.50%

0.77%

3.1483

0.7957

Audien Hearing

20.31%

5.61%

2.8903

0.7746

MDHearing

13.54%

2.51%

3.1532

0.7310

Lexie Hearing

11.61%

0.77%

3.3619

0.7627

Audicus

2.13%

0.00%

3.0714

0.5610

ZipHearing

0.77%

0.39%

2.7143

0.2955

hear.com

0.00%

0.00%

4.0000

0.4286

Nano Hearing Aids

0.00%

0.00%

0.0000

Average recommended rank covers rank-eligible recommendations only.

The table shows Yes Hearing tied with Nano Hearing Aids at the bottom of the field, with no top-three placements, no rank-one placements, and no rank-eligible recommendations. The brand's neutral sentiment score of 0.00 reflects the absence of any positive or negative framing, not a favorable positioning.

Prompt Evidence

Copilot / Brand Recommendation Prompt: "What are the best hearing aids?" Result: Yes Hearing was mentioned neutrally alongside other brands but was not recommended or shortlisted.

Copilot / Brand Recommendation Prompt: "Which hearing aid brands should I consider?" Result: Yes Hearing appeared as a neutral reference without any recommendation placement.

ChatGPT / Brand Recommendation Prompt: "What are the three best hearing aids?" Result: Yes Hearing did not appear in the response, with no mention or recommendation recorded.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map which prompts and surfaces mention Yes Hearing at all, and identify the specific queries where the brand is absent.

Phase 2: Recommendation Readiness Plan Identify the attributes and proof points AI systems require before recommending a hearing aid brand, and compare Yes Hearing against the brands that earn recommendations.

Phase 3: Owned Answer Layer Buildout Develop owned content that answers the specific high-intent questions where hearing aid buyers seek recommendations, including comparison, suitability, and value content.

Phase 4: Citation / Authority Layer Development Build the third-party citation footprint needed to give AI systems independent evidence for recommending Yes Hearing, including expert, review, and editorial sources.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track whether Yes Hearing moves from neutral mention to valid recommendation across the six AI surface families on a monthly basis.

Why This Matters

When a buyer asks an AI system which hearing aid to choose, Yes Hearing is not part of the answer. The brand is mentioned in passing on one platform and never recommended on any platform. In a discovery environment where AI systems increasingly shape the buyer shortlist, being absent from the recommendation set means being absent from consideration.

Presence alone is not enough. Yes Hearing has demonstrated that a brand can be named without being chosen. The next move is not more visibility but targeted correction of the prompt, page, and citation layers that determine whether AI systems have a defensible basis for recommending the brand.

Core Metrics

Metric

Value

Mentions

8

Valid recommendations

0

Top 3 recommendation count

0

Rank #1 recommendation count

0

Average recommended rank

N/A

Positive mentions

0

Neutral mentions

8

Negative mentions

0

Raw mention presence rate

1.55%

Valid recommendation coverage

0.00%

Top 3 recommendation rate

0.00%

Rank #1 recommendation rate

0.00%

Net sentiment score

0.0000

Strongest cluster by recommendation behavior

None

Strongest platform by recommendation behavior

None

Sentiment Score

Questions This Section Answers

  • Why does Yes Hearing's net sentiment score of 0.0000 reflect an absence of endorsements rather than neutral market perception?

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

For Yes Hearing, the calculation is (0 × 1 + 8 × 0 + 0 × -1) / 8, producing a sentiment score of 0.0000. This score reflects the complete absence of positive framing, not a neutral market perception.

This matters because unclassified mention counts are misleading. Yes Hearing has 8 mentions, but none of them carry recommendation value. 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. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, and for Yes Hearing the classification shows a brand that is referenced but never endorsed.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

Copilot

8

0

8

0

0.0000

Present as context, not recommendation

ChatGPT

0

0

0

0

N/A

No public presence in this packet

Gemini

0

0

0

0

N/A

No public presence in this packet

Perplexity

0

0

0

0

N/A

No public presence in this packet

AI Overviews

0

0

0

0

N/A

No public presence in this packet

AI Mode

0

0

0

0

N/A

No public presence in this packet

Methodology

  1. This report is based on the LLM Authority Index AI Market Discovery Index for Hearing Aids, September 2026, and reflects benchmark findings rather than client campaign results.
  2. The reporting window is September 2026, with comparative reference to the May 2026 baseline where relevant.
  3. Six AI surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.
  4. The benchmark is built from 800 source prompt-surface observations, of which 786 were relevant and 14 were excluded as irrelevant.
  5. The public qualified denominator is 517 observations, which is used for all brand-level percentage calculations.
  6. The competitor universe includes 10 tracked brands: Jabra Enhance, Eargo, Audien Hearing, MDHearing, Lexie Hearing, Audicus, ZipHearing, hear.com, Nano Hearing Aids, and Yes Hearing.
  7. All 517 qualified observations in September 2026 fell into the Brand Recommendation cluster. No qualified observations were recorded in the Pricing & Value or Multi-Brand Comparison clusters.
  8. A mention is defined as any observation where the brand appears in an AI response, regardless of whether it is recommended.
  9. A valid recommendation is defined as an observation where the brand is positively recommended or shortlisted by the AI system.
  10. Yes Hearing recorded 8 mentions and 0 valid recommendations across the 517 qualified observations.
  11. The public benchmark does not include the full set of unique prompts used in collection. The September 2026 run recorded 543 unique questions across 800 total observations.
  12. Limitations: small mention counts for Yes Hearing mean percentage movements should be read with caution. The benchmark does not measure market share, attributable sales, organic-search ranking, or causality from metric movement alone.

Get Your AI Visibility Audit

The public benchmark shows that Yes Hearing is mentioned but never recommended. A company-level AI visibility audit can map which prompts surface the brand, which competitors take the recommendations instead, and which evidence sources AI systems rely on when forming hearing aid recommendations. That analysis converts the benchmark's directional signal into a concrete action plan for earning the brand's first valid recommendations.

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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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