LiveHealth Online AI Market Strategy Report - Online Doctors

Answer Capsule

LiveHealth Online appears in 8.0% of AI observations in the Online Doctors category but earns valid recommendations in only 0.6% of them, revealing a severe gap between visibility and recommendation power. The brand holds a net sentiment score of just 0.08, the lowest in the category, meaning most mentions are neutral and do not drive patient trust or selection. Its strongest platform signal comes from Google AI Overviews, where it captures $43,383 in AI Authority Value, but across most other platforms the brand is functionally invisible as a recommended choice. The clearest opportunity lies in converting its neutral mention presence into positive recommendation coverage by strengthening the public evidence layer and improving framing quality.

Who This Report Is For

This report is for brand, marketing, and digital strategy leaders at LiveHealth Online who need to understand how AI systems currently position the brand in patient-facing recommendation shortlists and what must change to improve recommendation-stage visibility.

Report Card

• Report type: AI Company Market Strategy Report
• Target company: LiveHealth Online
• Category / market studied: Online Doctors
• Reporting month: June 2026
• AI platforms tracked: ChatGPT, Gemini, Copilot, Perplexity, Google AI Mode, Google AI Overviews
• Public high-intent clusters: 3 (Consideration, Evaluation, Decision)
• AI observations analyzed: 829
• Competitors tracked: 9 (Amwell, Doctor on Demand, HealthTap, K Health, Lemonaid Health, MDLive, PlushCare, Sesame, Teladoc)

Executive Summary

LiveHealth Online holds a raw mention presence rate of 8.0% across 829 observations in the Online Doctors category, placing it in the middle tier of brand visibility. However, the benchmark reveals a critical gap: the brand earns valid recommendations in only 0.6% of observations, with a Top 3 rate of 0.5% and a Rank 1 rate of just 0.1%. This means LiveHealth Online is being named in AI responses but is almost never advanced as a top choice for patients.

The net sentiment score of 0.08 is the lowest in the category, driven by 61 neutral mentions out of 66 total appearances. Only 5 positive mentions were recorded, and no negative mentions were observed. This neutral-heavy framing means the brand is being referenced as a factual option rather than a recommended one, which limits its ability to influence patient decisions.

LiveHealth Online's total monthly AI Authority Value is $53,862, placing it seventh among the ten tracked brands. The majority of this value comes from visibility assist rather than recommendation credit, with $34,969 in AI Recommendation Value and $18,893 in AI Visibility Assist Value. The brand captures just 0.3% of the total category opportunity.

The strongest platform signal is Google AI Overviews, where LiveHealth Online achieves $43,383 in AI Authority Value with a 1.0% recommendation rate. On every other platform, the brand's recommendation coverage is near zero. On Google AI Mode, LiveHealth Online appears in 23.0% of responses but earns zero valid recommendations, making it the clearest example of visibility without recommendation conversion in the dataset.

What LiveHealth Online Is Winning

LiveHealth Online's clearest win is its presence on Google AI Mode, where it appears in 23.0% of observations. This is the highest platform-specific mention rate for the brand and suggests that AI systems are retrieving it as a contextual reference in certain prompt types. The brand also achieves a 2.0% recommendation rate on Google AI Overviews and Perplexity, which, while low, indicates that some recommendation pathways exist.

The brand's average recommended rank of 1.75 across its few valid recommendations suggests that when LiveHealth Online is recommended, it tends to appear early in the list. This is a narrow but meaningful signal: the brand's source material, when retrieved, can support top placement. The question is why retrieval so rarely produces recommendation credit.

Where LiveHealth Online Has the Clearest AI Visibility Gaps

The most significant gap is the conversion of mentions into recommendations. LiveHealth Online appears in 66 observations but earns only 5 valid recommendations. This conversion rate of approximately 7.6% is the lowest among brands with comparable mention presence. Teladoc converts a 20.6% mention presence into a 6.2% recommendation rate, and Doctor on Demand converts 15.3% into 7.5%. LiveHealth Online is being retrieved at a reasonable rate but is being passed over at the recommendation stage.

On Google AI Mode, the gap is most visible. LiveHealth Online appears in 45 of 196 observations (23.0%) but earns zero valid recommendations. Every mention on this platform is neutral, meaning the brand is listed as an available option but never advanced as a preferred choice. This pattern repeats on ChatGPT, where the brand appears in 4 observations with zero recommendations.

The Decision-stage cluster (Telehealth Pricing, Cost and Plans) presents a particularly important weakness. LiveHealth Online captures $24,086 in AI Authority Value in this cluster, but a meaningful portion of that figure reflects visibility assist value rather than recommendation credit. The brand earns only 2 valid recommendations in this high-intent cluster, compared to PlushCare's 31 and Sesame's 18. At the moment patients are closest to choosing a provider, competitors are being recommended instead.

Sentiment is the most structural gap. With a net sentiment score of 0.08, LiveHealth Online has the weakest framing quality in the category. The nearest competitor, Lemonaid Health, scores 0.17, and the category leader, Doctor on Demand, scores 0.50. Neutral framing does not drive patient trust or selection, and it does not provide AI systems with the positive evidence needed to justify a recommendation.

Biggest Opportunity

The single biggest opportunity for LiveHealth Online is converting its neutral mention presence on Google AI Mode into positive recommendation coverage. The brand appears in 23.0% of Google AI Mode responses but earns zero recommendations on that platform. If LiveHealth Online could achieve even a 5% recommendation rate there, it would add an estimated $15,000 to $20,000 in monthly AI Authority Value, nearly doubling its current total.

This conversion requires improving the public evidence layer that AI systems draw on when evaluating and ranking brands. Specifically, the brand needs stronger positive patient sentiment signals, richer comparison and review coverage, and clearer pricing and service information that AI systems can retrieve and synthesize into a recommendation rather than a neutral reference.

Prompt Evidence

Google AI Overviews / Consideration Prompt: "What are the best online doctor services?" Result: LiveHealth Online was mentioned but not recommended in the top three positions.

Google AI Mode / Evaluation Prompt: "Compare telehealth platforms for general medical care" Result: LiveHealth Online appeared in the response as a listed option but received no recommendation credit.

Perplexity / Decision Prompt: "How much does an online doctor visit cost?" Result: LiveHealth Online received a valid recommendation with an average rank of 1.5, one of its strongest individual prompt performances in the dataset.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map every prompt, platform, and competitor response where LiveHealth Online appears or is displaced to establish a complete baseline of recommendation-stage visibility.

Phase 2: Recommendation Readiness Plan Identify the specific source gaps, citation failures, and framing weaknesses that prevent the brand from converting mentions into recommendations, particularly on Google AI Mode.

Phase 3: Owned Answer Layer Buildout Develop structured, authoritative content on pricing, service scope, and patient experience that AI systems can retrieve and cite when generating recommendations.

Phase 4: Citation / Authority Layer Development Strengthen third-party comparison coverage, review signals, and editorial references that provide the positive evidence AI systems need to advance the brand from listed to recommended.

Phase 5: Monthly AI Visibility and Recommendation Tracking Monitor changes in mention presence, recommendation coverage, sentiment, and rank position across all tracked platforms and clusters as improvements are made.

Why This Matters

Patients searching for online doctors are increasingly receiving AI-generated shortlists rather than traditional search results. These shortlists act as de facto recommendation engines, compressing the consideration set to three to five brands per query. A brand that appears in a response but is not recommended in the top three is effectively invisible to the patient making a decision.

LiveHealth Online's current position is precarious. The brand is visible enough to be named but not trusted enough to be recommended. In a market where PlushCare and Sesame capture 70% of AI recommendation value, being present but not recommended means losing patients at the decision moment. The path forward requires targeted correction of the prompt, page, and citation layers to convert neutral visibility into recommendation power.

Core Metrics

• Mentions: 66
• Valid recommendations: 5
• Top 3 recommendation count: 4
• Rank 1 recommendation count: 1
• Average recommended rank: 1.75
• Positive mentions: 5
• Neutral mentions: 61
• Negative mentions: 0
• Raw mention presence rate: 8.0%
• Valid recommendation coverage: 0.6%
• Top 3 recommendation rate: 0.5%
• Rank 1 recommendation rate: 0.1%
• Strongest cluster by recommendation behavior: Decision (Telehealth Pricing, Cost and Plans)
• Strongest platform by recommendation behavior: Google AI Overviews

Sentiment Score

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

LiveHealth Online: (5 x 1 + 61 x 0 + 0 x -1) / 66 = 5 / 66 = 0.08

This score matters because unclassified mention counts are misleading. 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 in their effect on patient decisions. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility accurately.

LiveHealth Online's sentiment score of 0.08 is the lowest in the Online Doctors category. The vast majority of its mentions are neutral, meaning the brand is referenced as a factual option rather than a recommended one. This neutral framing does not build patient trust or drive selection, and it limits the brand's ability to convert visibility into recommendation power.

Sentiment by Platform

Note: The Gemini readout has been revised from "No public presence in this packet" to "Present, but not recommendation-led" to reflect the 3 neutral mentions recorded in the dataset. No positive or negative mentions were observed, and no valid recommendations were assigned.

Methodology

1. Market studied: Online Doctors, covering telehealth and virtual care platforms accessible to patients in the United States.
2. Brands included in the competitive universe: Amwell, Doctor on Demand, HealthTap, K Health, Lemonaid Health, LiveHealth Online, MDLive, PlushCare, Sesame, Teladoc. This universe reflects the brands present in the benchmark dataset and may not include every active brand in the category.
3. Data collection window: June 2026, with a snapshot date of June 16, 2026.
4. AI platforms tested: ChatGPT, Gemini, Copilot, Perplexity, Google AI Mode, Google AI Overviews.
5. Observation count: 829 total observations analyzed across six platforms and three high-intent clusters.
6. Prompt count: The exact number of unique prompts tested was not provided in the source dataset. The 829 observation count reflects the full analytical dataset available for this report.
7. Prompt clusters: Consideration (Best Telehealth Platforms and Top Virtual Care Services), Evaluation (Telehealth Platform Comparisons and Alternatives), Decision (Telehealth Pricing, Cost and Plans).
8. Definition of a mention: A mention is recorded when a company name appears in an AI-generated response, regardless of sentiment, rank, or context. Mentions include positive, neutral, cautionary, and competitor-displaced appearances.
9. Definition of a valid recommendation: A valid recommendation is a positive, shortlist-quality recommendation or ranked recommendation that earns recommendation credit in the dataset. Neutral references, cautionary mentions, and comparison anchors are not counted as valid recommendations.
10. Ranking and scoring metrics: Valid recommendation coverage, Top 3 rate, Rank 1 rate, average recommended rank, net sentiment score, monthly AI Authority Value, monthly AI Recommendation Value, monthly AI Visibility Assist Value, and captured share of AI category opportunity were used to evaluate brand performance.
11. Modeled value note: Monthly AI Authority Value, AI Recommendation Value, and AI Visibility Assist Value are modeled benchmark estimates. They are not revenue, pipeline, or booked demand figures.
12. Limitations: This report is a point-in-time benchmark. AI outputs change frequently, and findings reflect the June 2026 snapshot only. Modeled values are estimates and not revenue. This report is not a full audit, a client implementation case study, or a complete market census.

See How AI Is Recommending Your Brand

The benchmark shows which brands are winning AI recommendations in the Online Doctors category and where LiveHealth Online stands relative to competitors at the decision moment. CiteWorks Studio can show where your brand appears across AI platforms, where competitors are being recommended instead, which prompts carry the most commercial risk, which sources are shaping AI answers, and what needs to change to convert neutral visibility into recommendation power.