LiveHealth Online AI Visibility Market Strategy Report - Online Doctors

Mark HuntleyBy Mark HuntleyFounder and CEO
12 minutes read

Key Takeaways

  • LiveHealth Online is mentioned more often than it is recommended, with 8.32% mention presence versus 5.49% valid recommendation coverage.
  • Google AI Overviews is the strongest platform for the brand, while ChatGPT and Gemini show little to no recommendation presence.
  • The brand has a clean sentiment profile with no negative mentions, but its framing is weaker than category leaders like Sesame and plushcare.
  • The main growth opportunity is turning existing mentions into shortlist recommendations in the category’s direct recommendation cluster.

Answer Capsule

LiveHealth Online holds a small but real position in AI-generated online doctor recommendations, with valid recommendation coverage of 5.49% across 565 qualified observations in October 2026. The brand appears in AI answers far more often than it is recommended, with a raw mention presence rate of 8.32% against a recommendation coverage rate of 5.49%. Its clearest strength is a positive framing profile and a narrow pocket of recommendation credit on Google AI Overviews, while its clearest weakness is near-total absence from ChatGPT, Gemini, and Perplexity recommendation answers. The biggest opportunity is converting its existing mention presence into shortlist eligibility inside the category's single active high-intent cluster.

Who This Report Is For

This report is written for LiveHealth Online's marketing, growth, and product leadership, and for telehealth category analysts tracking how AI search and assistant surfaces shape online doctor discovery.

Report Card

Field

Value

Report type

AI Visibility Company Market Strategy Report

Target company

LiveHealth Online

Category / market studied

Online Doctors

Reporting month

October 2026

AI platforms tracked

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

Public high-intent clusters

1 active (Best Online Doctors & Top Telehealth Services)

AI observations analyzed

565 qualified observations from 800 collected prompts

Competitors tracked

9

Executive Summary

LiveHealth Online is visible in AI-generated online doctor answers but is rarely recommended. Across 565 qualified observations in October 2026, the brand recorded 47 mentions and 31 valid recommendations, producing a valid recommendation coverage rate of 5.49% and a raw mention presence rate of 8.32%. The gap between those two numbers is the core story: LiveHealth Online is referenced in roughly one in twelve qualified answers, but only earns recommendation credit in roughly one in eighteen.

The brand's framing profile is clean. Of its 47 mentions, 31 were positive, 16 were neutral, and none were negative, producing a net sentiment score of 0.6596. That places LiveHealth Online in the lower half of the category on framing quality, behind Lemonaid Health at 0.9333, plushcare at 0.8410, and Sesame at 0.8319, but ahead of Amwell at 0.6605 by a narrow margin.

The strongest cluster is also the only cluster with qualified data. All 565 qualified observations fell into the Brand Recommendation cluster, which captures direct "which online doctor should I use" style questions. LiveHealth Online's coverage in that cluster sits at 5.49%, with a top-three rate of 3.89% and a rank-one rate of 0.35%. The brand is occasionally shortlisted but almost never placed first.

The strongest platform signal is Google AI Overviews, where LiveHealth Online recorded 14 valid recommendations and a 8.43% coverage rate, the highest of any tracked platform. Google AI Mode follows at 7.41% coverage. The clearest platform gap is ChatGPT, where the brand recorded zero mentions and zero recommendations across 41 observations, and Gemini, where it recorded three neutral mentions and no recommendations across 88 observations.

The category itself is consolidating around a top cluster. Sesame leads at 49.56% coverage, followed by Doctor on Demand at 48.32% and Teladoc Health at 45.49%. LiveHealth Online sits seventh of ten tracked brands, ahead of K Health, HealthTap, and Lemonaid Health, and behind MDLive at 30.44% and Amwell at 23.72%. The distance between LiveHealth Online and the top cluster is roughly 40 percentage points of recommendation coverage.

The clearest opportunity is not to compete for the category lead. It is to convert the brand's existing mention presence into shortlist eligibility inside the one cluster that is currently measured, and to establish any presence at all on ChatGPT and Gemini, where the brand is currently invisible.

What LiveHealth Online Is Winning

Questions This Section Answers

  • Where does LiveHealth Online actually earn AI recommendation credit today?
  • Which platform produces the brand's strongest recommendation signal?

LiveHealth Online's wins are narrow but real.

The brand holds a positive framing profile with zero negative mentions across 47 recorded mentions in October 2026. That is a clean public evidence layer, and it means AI systems are not currently associating the brand with cautionary or comparison-anchor language.

The brand's strongest platform is Google AI Overviews, where it recorded 14 valid recommendations, a 8.43% valid recommendation coverage rate, and a 7.23% top-three rate. That is the highest coverage rate LiveHealth Online achieved on any tracked platform, and it is the only platform where the brand's recommendation count reached double digits.

LiveHealth Online also recorded a measurable rank-one presence on Perplexity, where it earned two first-position recommendations and a 5.88% rank-one rate. That is a small sample, but it is the only platform where the brand appeared first in an AI-generated recommendation.

The brand's average recommended rank of 3.00 across all platforms is competitive relative to its coverage level. When LiveHealth Online does earn recommendation credit, it tends to land in the middle of the shortlist rather than at the bottom.

Where LiveHealth Online Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Why does LiveHealth Online's mention rate not convert into recommendations?
  • Which platforms is LiveHealth Online effectively invisible on, and how much does that cost it?
  • How large is the rank-one and competitive displacement gap in the category's one active cluster?

The clearest gap is recommendation conversion. LiveHealth Online's raw mention presence rate of 8.32% is more than 50% higher than its valid recommendation coverage rate of 5.49%. The brand is being named in AI answers without being recommended in them. That pattern suggests the brand is appearing as context, comparison, or reference rather than as a shortlist option.

The second gap is platform absence. LiveHealth Online recorded zero mentions on ChatGPT across 41 observations, and three neutral mentions with zero recommendations on Gemini across 88 observations. ChatGPT and Gemini together account for 129 of the 565 qualified observations in the benchmark, and LiveHealth Online is effectively absent from both. By contrast, Doctor on Demand recorded 13 mentions and five valid recommendations on ChatGPT, and Teladoc Health recorded 35 mentions and 22 valid recommendations on the same platform.

The third gap is rank-one placement. LiveHealth Online's rank-one rate of 0.35% is the second-lowest among brands with any rank-one credit, ahead only of K Health at 0.18%. Sesame recorded a 12.92% rank-one rate, Doctor on Demand 13.98%, and Teladoc Health 27.96%. When AI systems do recommend LiveHealth Online, they almost never place it first.

The fourth gap is competitive displacement inside the only active cluster. Doctor on Demand, Teladoc Health, plushcare, and Sesame collectively hold recommendation coverage between 41.59% and 49.56% in the Brand Recommendation cluster. LiveHealth Online's 5.49% coverage means that in roughly 19 of every 20 qualified recommendation answers, a competitor is recommended and LiveHealth Online is not.

Biggest Opportunity

Questions This Section Answers

  • What would close the mention-to-recommendation gap for LiveHealth Online?
  • Which platforms and prompt types should be prioritized first?

The single biggest opportunity is converting LiveHealth Online's existing mention presence into valid recommendation credit inside the Brand Recommendation cluster, with priority on ChatGPT and Gemini.

LiveHealth Online already appears in 8.32% of qualified answers. That presence is the raw material. The gap between 8.32% mention presence and 5.49% recommendation coverage represents roughly 16 qualified observations per month where the brand is named but not recommended. Closing that gap would lift coverage toward the 8% range without requiring any new presence.

The platform priority is ChatGPT and Gemini. ChatGPT accounts for 41 qualified observations and Gemini for 88, and LiveHealth Online is absent from ChatGPT recommendation answers entirely and has no recommendation credit on Gemini. Establishing even a modest recommendation footprint on those two platforms would move the brand's overall coverage more than incremental gains on Google AI Overviews, where it is already the strongest.

The prompt priority is the direct recommendation question set. The benchmark's active cluster includes prompts such as "Which online doctors are legit?", "What is the best online doctor website?", and "online doctors". These are the questions where a brand either makes the shortlist or does not. LiveHealth Online's current position suggests it is being retrieved as a reference but not selected as a recommendation.

Competitive Landscape

Questions This Section Answers

  • Where does LiveHealth Online sit against the leading online doctor brands on top-three and rank-one rates?
  • How far behind the top cluster is LiveHealth Online on recommendation coverage?

Sesame, Doctor on Demand, and Teladoc Health hold the strongest recommendation-stage positions in the Online Doctors category, with valid recommendation coverage between 45.49% and 49.56%. LiveHealth Online sits in the lower tier of the tracked set, with coverage of 5.49% and a rank-one rate of 0.35%.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Teladoc Health

40.18%

27.96%

1.60

0.7419

Doctor on Demand

37.70%

13.98%

2.31

0.7453

Sesame

33.98%

12.92%

2.43

0.8319

plushcare

27.79%

6.73%

2.72

0.8410

MDLive

19.12%

1.77%

3.12

0.7355

Amwell

14.16%

0.53%

3.16

0.6605

LiveHealth Online

3.89%

0.35%

3.00

0.6596

K Health

0.71%

0.18%

4.29

0.7381

HealthTap

1.77%

0.53%

2.50

0.7895

Lemonaid Health

1.59%

0.35%

2.75

0.9333

Average recommended rank covers rank-eligible recommendations only.

LiveHealth Online's top-three rate of 3.89% places it seventh of ten tracked brands, and its rank-one rate of 0.35% places it in a tie with Lemonaid Health near the bottom of the set. Its average recommended rank of 3.00 is mid-pack, which indicates that when the brand does earn a shortlist position, it is not placed last. The gap between LiveHealth Online and the top cluster is roughly 34 percentage points on top-three rate and roughly 28 percentage points on rank-one rate.

Prompt Evidence

Questions This Section Answers

  • Which specific prompts and platforms show LiveHealth Online being mentioned without being recommended?
  • Where has the brand earned first-position placements, and on which surface?

ChatGPT / Brand Recommendation Prompt: "Which online doctors are legit?" Result: LiveHealth Online recorded zero mentions on ChatGPT across 41 qualified observations, while Teladoc Health and Doctor on Demand both earned recommendation credit on the same platform.

Google AI Overviews / Brand Recommendation Prompt: "online doctors" Result: LiveHealth Online earned recommendation credit on Google AI Overviews, its strongest platform, with 14 valid recommendations and a 8.43% coverage rate.

Gemini / Brand Recommendation Prompt: "telemedicine services" Result: LiveHealth Online recorded three neutral mentions and zero recommendations on Gemini, appearing as context rather than as a shortlist option.

Perplexity / Brand Recommendation Prompt: "Can I speak to a doctor for free online?" Result: LiveHealth Online earned two rank-one recommendations on Perplexity, its only first-position placements across the tracked platform set.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map exactly which prompts and platforms produce LiveHealth Online mentions without recommendation credit, and identify the specific answers where the brand is retrieved but not selected.

Phase 2: Recommendation Readiness Plan Prioritize the ChatGPT and Gemini gaps, where the brand is currently absent or neutral-only, and define the shortlist eligibility criteria AI systems appear to apply in this category.

Phase 3: Owned Answer Layer Buildout Strengthen the pages and content assets that answer direct recommendation questions such as "Which online doctors are legit?" and "What is the best online doctor website?" so the brand's eligibility signals are retrievable.

Phase 4: Citation / Authority Layer Development Build the third-party source footprint that AI systems cite in this category, including health information and comparison sources that currently favor the top cluster.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track coverage, top-three rate, rank-one rate, and sentiment month over month to confirm whether the mention-to-recommendation gap is closing.

Why This Matters

AI presence alone is not the same as being recommended. LiveHealth Online already appears in AI-generated online doctor answers, but it is being named as context rather than selected as a shortlist option. In a category where the top three brands hold recommendation coverage between 45% and 50%, a 5.49% coverage rate means the brand is effectively outside the buyer shortlist in most AI-led discovery moments.

The next move is targeted correction of the prompt, page, and citation layers. The brand does not need to be more visible. It needs to be more recommendable. That means closing the gap between mention and recommendation, establishing any presence at all on ChatGPT and Gemini, and building the public evidence layer that AI systems appear to draw on when they decide which online doctor brands to place in the shortlist.

Core Metrics

Metric

Value

Mentions

47

Valid recommendations

31

Top 3 recommendation count

22

Rank #1 recommendation count

2

Average recommended rank

3.00

Positive mentions

31

Neutral mentions

16

Negative mentions

0

Raw mention presence rate

8.32%

Valid recommendation coverage

5.49%

Top 3 recommendation rate

3.89%

Rank #1 recommendation rate

0.35%

Net sentiment score

0.6596

Strongest cluster by recommendation behavior

Best Online Doctors & Top Telehealth Services

Strongest platform by recommendation behavior

Google AI Overviews

Sentiment Score

Questions This Section Answers

  • Why is a raw mention count misleading for measuring AI visibility in online doctors?
  • How does LiveHealth Online's framing profile compare with category leaders like Sesame and plushcare?

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

For LiveHealth Online in October 2026, that calculation is (31 × 1 + 16 × 0 + 0 × -1) / 47, which produces a score of 0.6596.

This matters because unclassified mention counts are misleading. A brand that appears in 47 AI answers sounds visible, but that number says nothing about whether the brand was recommended, referenced neutrally, or flagged as a caution. Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not equal, and counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because it separates framing quality from raw presence.

LiveHealth Online's score of 0.6596 reflects a clean but not enthusiastic framing profile. The brand has no negative mentions, which is a genuine strength, but its positive-to-neutral ratio of roughly two to one is lower than the category leaders. Sesame recorded a 0.8319 score with 282 positive mentions against 57 neutral, and plushcare recorded 0.8410 with 238 positive against 45 neutral. LiveHealth Online's framing is positive but comparatively thin.

Sentiment by Platform

Questions This Section Answers

  • On which platforms does LiveHealth Online have enough mentions to read sentiment reliably?
  • Where does the brand appear only as neutral context rather than as a recommendation?

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

Google AI Overviews

19

14

5

0

0.7368

Strongest public recommendation signal

Google AI Mode

18

12

6

0

0.6667

Present, but not recommendation-led

Perplexity

5

4

1

0

0.8000

Positive, but sample too small

Gemini

3

0

3

0

0.0000

Present as context, not recommendation

Copilot

2

1

1

0

0.5000

Positive, but sample too small

ChatGPT

0

0

0

0

N/A

No public presence in this packet

Methodology

  1. This report is a benchmark-based AI Visibility Company Market Strategy Report for LiveHealth Online in the Online Doctors category, produced from the LLM Authority Index AI Visibility Market Discovery Index and the associated CiteWorks Studio case study data for October 2026.
  2. The reporting window is October 2026, with July 2026 as the benchmark baseline month for movement comparisons.
  3. Six AI search and assistant surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
  4. The benchmark began with 800 prompt-surface observations in October 2026, of which 603 were unique questions and 800 mentioned a tracked brand or competitor.
  5. Of the 800 collected prompts, 674 were relevant to the online doctor category and 126 were irrelevant, producing 565 qualified benchmark observations after qualification.
  6. Brand-level percentages in this report use the 565 qualified observations as the public denominator, not the raw 800-prompt collection.
  7. Ten brands were tracked in the competitor universe: Amwell, Doctor on Demand, HealthTap, K Health, Lemonaid Health, LiveHealth Online, MDLive, plushcare, Sesame, and Teladoc Health.
  8. One high-intent cluster produced qualified observations in October 2026: Best Online Doctors & Top Telehealth Services, which captures direct brand recommendation questions. The Pricing & Value and Multi-Brand Comparison clusters recorded zero qualified observations across the series.
  9. Stage 0 extraction retained the query, AI surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources for each observation.
  10. A mention is defined as any qualified observation in which LiveHealth Online was named in the AI-generated answer, regardless of whether the brand was recommended.
  11. A valid recommendation is defined as a qualified observation in which LiveHealth Online received explicit recommendation credit with a rank position between 1 and 10. Neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations.
  12. Limitations: the public benchmark does not measure market share, attributable sales, every possible AI response, organic-search ranking, social mention volume, private or sponsored channels, or causality from a metric movement alone. PlushCare and plushcare are tracked as separate brand entries in this benchmark, and the October 2026 data records the brand under the lowercase identifier only. LiveHealth Online's platform-level samples on Copilot, Gemini, and Perplexity are small, and platform-level sentiment scores on those surfaces should be read alongside the underlying mention counts.

See How AI Is Recommending Your Brand

The public benchmark shows where LiveHealth Online appears in AI-generated online doctor answers and where it does not. A company-level AI visibility audit maps the specific prompts, platforms, competitor displacements, and citation sources that determine whether the brand makes the shortlist when a buyer asks an AI system which online doctor to use.

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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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