Doctor on Demand AI Market Strategy Report - Online Doctors

Answer Capsule

Doctor on Demand demonstrates that efficient conversion of AI presence into recommendations can create value even with lower overall visibility. The brand appears in only 15.3% of observations but achieves a 7.5% valid recommendation rate with the highest net sentiment score in the category at 0.50. Its AI Authority Value of $198,752 exceeds both Teladoc and Amwell, making it the third most recommended brand in the Online Doctors category. The clearest weakness is platform concentration: Doctor on Demand generates nearly all its recommendation value on Google AI Overviews and Perplexity, with near-zero presence on ChatGPT and Copilot. The clearest opportunity is expanding recommendation coverage into evaluation-stage and decision-stage prompts on the platforms where the brand is currently absent.

Who This Report Is For

This report is for brand, marketing, and growth leaders at Doctor on Demand who need to understand how AI systems are recommending the brand versus competitors in the Online Doctors category.

Report Card

• Report type: AI Company Market Strategy Report
• Target company: Doctor on Demand
• 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, HealthTap, K Health, Lemonaid Health, LiveHealth Online, MDLive, PlushCare, Sesame, Teladoc)

Executive Summary

Doctor on Demand holds a distinctive position in the Online Doctors category. It is not the most visible brand, but it is one of the most efficiently recommended. The brand appears in 127 of 829 total observations, a 15.3% raw mention presence rate. Of those appearances, 64 are positive, 63 are neutral, and none are negative. This gives Doctor on Demand the highest net sentiment score in the category at 0.50, well above the category average.

The brand earns 62 valid recommendations across all platforms, representing a 7.5% valid recommendation coverage rate. This is higher than Teladoc at 6.2% and Amwell at 6.8%, despite both brands appearing in more observations. Doctor on Demand achieves a 5.6% Top 3 rate and a 4.2% Rank 1 rate, placing it third in the category behind PlushCare and Sesame.

The strongest cluster for Doctor on Demand is the evaluation-stage Telehealth Platform Comparisons and Alternatives cluster, where it captures $144,967 in AI Authority Value. This represents 73% of its total modeled benchmark value. On Google AI Overviews, Doctor on Demand reaches a 19.5% recommendation rate with an average rank of 1.55, its strongest platform performance.

The clearest gap is platform concentration. Doctor on Demand has near-zero presence on ChatGPT, appearing in only 1 of 84 observations with zero valid recommendations, and on Copilot, where it appears in only 3 of 154 observations with zero valid recommendations. On Gemini, the brand appears in 34 observations but earns only 11 valid recommendations with a 2.3% Top 3 rate. Expanding platform coverage while maintaining recommendation quality is the central strategic challenge.

What Doctor on Demand Is Winning

Highest net sentiment in the category. Doctor on Demand achieves a net sentiment score of 0.50, the highest among all 10 tracked brands. When the brand is mentioned by AI systems, it is framed positively more often than any competitor. This sentiment advantage supports recommendation conversion at the critical moment when AI systems form a shortlist.

Efficient recommendation conversion. Doctor on Demand converts a 15.3% mention presence rate into a 7.5% valid recommendation coverage rate, a conversion ratio of nearly 50%. This is the strongest recommendation efficiency in the category outside the top two leaders. The brand does not need broad visibility to earn recommendation credit.

Strong evaluation-stage performance. In the Telehealth Platform Comparisons and Alternatives cluster, Doctor on Demand captures $144,967 in modeled AI Authority Value, nearly matching Amwell's total across all clusters. This cluster carries a 1.25 buyer stage multiplier, meaning patients are actively comparing platforms when they encounter Doctor on Demand in AI responses.

Google AI Overviews strength. On Google AI Overviews, Doctor on Demand achieves a 19.5% recommendation rate with an average rank of 1.55. It earns 38 valid recommendations on this platform, accounting for 61% of its total recommendation count. Its Rank 1 rate on Google AI Overviews is 14.9%, second only to PlushCare across the full competitor set.

Perplexity presence. On Perplexity, Doctor on Demand appears in 40% of observations and earns a 20% valid recommendation rate. This is the brand's second strongest platform and shows that its source footprint is retrievable on research-oriented AI platforms.

Where Doctor on Demand Has the Clearest AI Visibility Gaps

ChatGPT absence. Doctor on Demand appears in only 1 of 84 ChatGPT observations and earns zero valid recommendations. This is the most significant platform gap. ChatGPT is the most widely used AI platform in the tracked set, and the brand is functionally invisible on it. By comparison, Amwell earns 13 valid recommendations on ChatGPT, and PlushCare earns 15. Patients using ChatGPT to find online doctors are not seeing Doctor on Demand in results.

Copilot absence. Doctor on Demand appears in only 3 of 154 Copilot observations and earns zero valid recommendations. Copilot is a growing platform for professional and enterprise users, and the brand has no recommendation presence there. This absence may reflect a thin source footprint that Copilot does not retrieve or synthesize into shortlist responses.

Gemini underperformance. On Gemini, Doctor on Demand appears in 34 observations but earns only 11 valid recommendations with a 2.3% Top 3 rate. The brand's average recommended rank on Gemini is 2.86, meaning when it is recommended, it appears near the bottom of the shortlist. By comparison, Sesame earns 34 valid recommendations on Gemini with a 13.7% Top 3 rate. The Gemini source layer appears to favor competitors with stronger comparison and review coverage.

Decision-stage weakness. In the Telehealth Pricing, Cost and Plans cluster, the highest-intent cluster with a 1.5 buyer stage multiplier, Doctor on Demand captures only $7,438 in AI Authority Value. PlushCare captures $122,628 in the same cluster, and Sesame captures $107,218. Doctor on Demand's decision-stage recommendation rate is 3.4%. Patients ready to choose a provider are being directed to competitors.

Competitor displacement in consideration prompts. In the Best Telehealth Platforms cluster, Doctor on Demand captures $46,346 in AI Authority Value. PlushCare captures $425,465 in the same cluster. The brand is being displaced by PlushCare and Sesame in the broadest, most common patient discovery queries, which represent the top of the AI-led discovery funnel.

Biggest Opportunity

Expand recommendation coverage on ChatGPT and Copilot. These two platforms represent the largest addressable gap in Doctor on Demand's AI visibility. The brand has proven it can convert presence into recommendations efficiently on Google AI Overviews and Perplexity. The same source-layer strengths that drive recommendation quality on those platforms can be applied to ChatGPT and Copilot. Doctor on Demand already holds the highest net sentiment score in the category. The missing element is retrievable source material that ChatGPT and Copilot can synthesize into recommendations. Building structured comparison content, transparent pricing pages, and third-party review coverage that these platforms can cite would directly address the gap and extend Doctor on Demand's recommendation efficiency to the platforms where the most patients are searching.

Prompt Evidence

Google AI Overviews / Evaluation Prompt: "Compare telehealth platforms for ongoing primary care" Result: Doctor on Demand appeared as a Top 3 recommendation with positive framing, citing patient satisfaction and pricing transparency.

Perplexity / Consideration Prompt: "What are the best online doctor services for urgent care?" Result: Doctor on Demand was listed as a recommended option alongside PlushCare and Sesame, with positive sentiment and source attribution.

Gemini / Evaluation Prompt: "Which telehealth service has the best reviews?" Result: Doctor on Demand was mentioned but ranked fourth behind PlushCare, Sesame, and Teladoc, with neutral framing.

ChatGPT / Consideration Prompt: "Best telehealth platforms 2026" Result: Doctor on Demand was not mentioned. PlushCare, Sesame, and Amwell appeared in the response.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map Doctor on Demand's full recommendation footprint across all 10 prompt clusters and 6 platforms to identify the specific prompts where ChatGPT and Copilot are not surfacing the brand.

Phase 2: Recommendation Readiness Plan Audit the public evidence layer for ChatGPT and Copilot retrievability, focusing on comparison content, pricing pages, and patient review signals that these platforms use to form recommendations.

Phase 3: Owned Answer Layer Buildout Develop structured content for evaluation-stage and decision-stage prompts, including platform comparison pages and transparent pricing information that AI systems can cite directly.

Phase 4: Citation / Authority Layer Development Strengthen third-party citation sources including editorial reviews, directory listings, and patient forum presence to increase retrievable evidence across all six platforms.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track recommendation coverage, Top 3 rate, and sentiment by platform monthly, with particular focus on ChatGPT and Copilot recovery and decision-stage cluster performance.

Why This Matters

Doctor on Demand has proven that recommendation quality can overcome lower visibility. The brand converts presence into recommendations more efficiently than any competitor outside the top two. But this efficiency is concentrated on two platforms. Patients using ChatGPT or Copilot to find online doctors are not seeing Doctor on Demand recommended. At the decision stage, where patients are comparing pricing and ready to choose, the brand is being displaced by PlushCare and Sesame in AI-generated shortlists.

The risk is that as AI-led discovery grows, platform concentration becomes a structural liability. A brand that is invisible on the most used AI platforms is invisible to the largest segment of AI-assisted patients, regardless of how well it performs elsewhere. The opportunity is clear: apply the same source-layer strengths that produce strong recommendation conversion on Google AI Overviews to ChatGPT and Copilot. Doctor on Demand already has the sentiment advantage. What it needs is the retrievable evidence layer that allows those platforms to form and deliver the same recommendations.

Core Metrics

• Mentions: 127
• Valid recommendations: 62
• Top 3 recommendation count: 46
• Rank 1 recommendation count: 35
• Average recommended rank: 1.98
• Positive mentions: 64
• Neutral mentions: 63
• Negative mentions: 0
• Raw mention presence rate: 15.3%
• Valid recommendation coverage: 7.5%
• Top 3 recommendation rate: 5.6%
• Rank 1 recommendation rate: 4.2%
• Strongest cluster by recommendation behavior: Telehealth Platform Comparisons and Alternatives (Evaluation)
• Strongest platform by recommendation behavior: Google AI Overviews

Sentiment Score

Sentiment Score = (64 positive x 1 + 63 neutral x 0 + 0 negative x -1) / 127 total mentions = 0.50

This is the highest net sentiment score in the Online Doctors category. A score of 0.50 means that half of all Doctor on Demand mentions carry positive framing, with the remainder being neutral and none being negative.

This score matters because unclassified mention counts are misleading. 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 outcomes. Counting all mentions as wins produces a distorted picture of AI recommendation performance. Classified sentiment is required before interpreting what AI visibility actually means for a brand. Doctor on Demand's high sentiment score indicates that when AI systems surface the brand, they frame it favorably, which directly supports recommendation conversion and shortlist eligibility.

Sentiment by Platform

Methodology

1. Market studied: Online Doctors, covering telehealth and virtual primary care platforms operating in the United States.
2. Brands tracked: Amwell, Doctor on Demand, HealthTap, K Health, Lemonaid Health, LiveHealth Online, MDLive, PlushCare, Sesame, and Teladoc. This universe may not include every brand active 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, and Google AI Overviews.
5. Observations analyzed: 829 total observations across all platforms and clusters.
6. Prompt count: The specific number of unique prompts tested was not provided in the source dataset. All findings derive from the 829 observations logged.
7. Prompt clusters used: Three public high-intent clusters were tested: Consideration (Best Telehealth Platforms and Top Virtual Care Services), Evaluation (Telehealth Platform Comparisons and Alternatives), and Decision (Telehealth Pricing, Cost and Plans). The public version of this benchmark includes 3 of 10 total prompt clusters and may underrepresent performance in less common patient queries.
8. Definition of a mention: A mention is recorded when the brand name appears anywhere in an AI-generated response, regardless of framing, rank, or recommendation status.
9. Definition of a valid recommendation: A valid recommendation is a positive, shortlist-quality appearance in which the brand is actively recommended or ranked by the AI system. Neutral references, contextual mentions, cautionary appearances, and competitor-displacement mentions do not receive valid recommendation credit.
10. Modeled benchmark values: AI Authority Value, AI Recommendation Value, and AI Visibility Assist Value are modeled estimates based on cluster weighting, buyer stage multipliers, and recommendation rank. These figures are not revenue, pipeline, or booked demand. They are benchmarking tools for comparing relative recommendation strength across brands and clusters.
11. Sentiment classification: Mentions are classified as positive, neutral, or negative based on framing quality in the AI response. Net sentiment score is calculated as (positive x 1 + neutral x 0 + negative x -1) divided by total mentions.
12. Limitations: This report is a point-in-time benchmark. AI platform outputs change over time and vary by query phrasing, user context, and model updates. Modeled values are estimates and should not be treated as revenue projections. This is not a full audit and does not represent a complete census of AI recommendation behavior across all possible prompts or platforms.

See How AI Is Recommending Your Brand

The benchmark shows which brands are winning AI recommendations in the Online Doctors category. Doctor on Demand has strong recommendation quality and the highest net sentiment in the category, but that performance is concentrated on two platforms. The deeper question is where your brand stands on ChatGPT and Copilot, which prompts are sending patients to competitors, and what changes to your source layer could expand recommendation coverage without sacrificing the conversion efficiency the brand has already built.

CiteWorks Studio maps where your brand appears in AI-generated responses, where competitors are recommended instead, which prompt clusters carry the most commercial risk, and what your public evidence layer is missing. If you want to understand your full AI recommendation footprint, a discovery audit is the right starting point.