Teladoc AI Market Strategy Report - Online Doctors
This report supports CiteWorks Studio's examination of how AI search is recommending Online Doctors. For more detail, you can also read Online Doctors: AI Discovery Index.
On this report
Key Takeaways
- Teladoc appears in 20.6% of AI observations in online doctors, but earns valid recommendations in only 6.2%, showing a large gap between visibility and selection.
- Its strongest performance is in consideration-stage queries and on Gemini, where recommendation conversion is notably higher than on other tracked platforms.
- Decision-stage pricing and cost queries are the weakest area, where Teladoc captures little authority value and rarely earns top recommendation placement.
- Google AI Mode is a major weakness: Teladoc is frequently surfaced there but receives almost no recommendation credit, indicating thin citation and comparison support.
Answer Capsule
Teladoc appears in 20.6% of AI observations across the Online Doctors category but earns valid recommendations in only 6.2% of them, revealing a significant gap between brand visibility and recommendation power. The benchmark shows Teladoc is widely mentioned by AI systems but rarely advanced as a top choice, with an AI Authority Value of $151,808 compared to category leader PlushCare at $844,165. Teladoc's clearest win is on Gemini, where it achieves an 11.4% recommendation rate, but its weakest performance is on Google AI Mode, where it appears in 17.4% of responses yet earns zero Top 3 recommendations. The clearest opportunity is converting Teladoc's strong mention presence into recommendation credit by strengthening the citation architecture and source-layer evidence that AI systems use to justify top placement.
Who This Report Is For
This report is for Teladoc's marketing, brand, and digital strategy teams responsible for AI search visibility, competitive positioning, and patient acquisition in the online doctor market.
Report Card
- Report type: AI Company Market Strategy Report
- Target company: Teladoc
- 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, LiveHealth Online, MDLive, PlushCare, Sesame)
Executive Summary
Teladoc is one of the most recognized telehealth brands in the market, and the benchmark data confirms that AI systems surface the company frequently. Teladoc appears in 171 of 829 observations, a raw mention presence rate of 20.6%. The critical finding is that Teladoc earns valid recommendations in only 51 of those observations, a recommendation coverage rate of 6.2%. This means Teladoc is being listed as an option but is not being advanced as a top choice.
The gap between visibility and recommendation power is Teladoc's central challenge. The company's AI Authority Value of $151,807 is less than one-fifth of PlushCare's $844,165 and trails Sesame at $535,802 and Doctor on Demand at $198,751. Teladoc's Top 3 recommendation rate is 4.8%, and its Rank 1 rate is 3.0%. On Google AI Mode, Teladoc appears in 17.4% of responses but earns zero Top 3 recommendations.
Teladoc's strongest cluster is the consideration-stage Best Telehealth Platforms and Top Virtual Care Services cluster, where it captures $86,247 in AI Authority Value. Its weakest cluster is the decision-stage Telehealth Pricing, Cost and Plans cluster, where it captures just $8,725. This collapse from consideration to decision-stage value suggests Teladoc's source-layer evidence is insufficient for high-intent pricing and comparison queries.
Teladoc's strongest platform signal is on Gemini, where it achieves an 11.4% recommendation rate and a 6.3% Rank 1 rate. Its clearest platform gap is on Google AI Mode, where the company appears in 34 observations but earns only 3 valid recommendations, none in the Top 3.
Across all clusters, competitor displacement is visible and consistent. PlushCare leads every cluster in AI Authority Value. Sesame and Doctor on Demand outperform Teladoc in recommendation conversion at the evaluation and decision stages. Teladoc's brand recognition creates presence, but presence alone is not translating into the shortlist placement that drives patient selection.
What Teladoc Is Winning
Teladoc's strongest cluster is the consideration-stage Best Telehealth Platforms and Top Virtual Care Services cluster. In this cluster, Teladoc achieves a 6.9% valid recommendation coverage rate and an average recommended rank of 1.90 when it is recommended, with an AI Authority Value of $86,247. This is where Teladoc's brand recognition most consistently produces recommendation credit.
Teladoc's strongest platform is Gemini, where it achieves an 11.4% valid recommendation coverage rate and a 6.3% Rank 1 rate. Teladoc appears in 62 of 175 Gemini observations and earns 20 valid recommendations. This is the only platform where Teladoc's recommendation rate exceeds 10%, and it represents the clearest existing signal of recommendation conversion strength.
Teladoc benefits from brand awareness in general consideration queries where AI systems list multiple telehealth options. This brand-level recognition creates a foundation of mentions that, while not consistently translating to top-position recommendations, establishes Teladoc as a known entity in AI-generated responses across all six tracked platforms. Teladoc also shows zero negative mentions in the dataset, meaning its framing is free of cautionary or risk-based language that would suppress recommendation credit.
Where Teladoc Has the Clearest AI Visibility Gaps
Teladoc's most significant gap is the conversion of mentions into recommendations. The company appears in 20.6% of observations but earns valid recommendations in only 6.2%. Approximately 70% of Teladoc's AI appearances are neutral mentions that do not produce patient selection credit.
The decision-stage cluster is Teladoc's weakest area by every metric. In the Telehealth Pricing, Cost and Plans cluster, Teladoc captures just $8,725 in AI Authority Value, compared to PlushCare at $122,628 and Sesame at $107,218. Teladoc's valid recommendation coverage in this cluster drops to 1.9%, and its Rank 1 rate falls to 0.5%. This cluster carries the highest buyer stage multiplier at 1.5, meaning these are the highest-intent patient queries and the moments where recommendation placement has the most commercial consequence.
Google AI Mode is Teladoc's weakest platform. Teladoc appears in 34 of 196 Google AI Mode observations but earns only 3 valid recommendations, none in the Top 3, for a recommendation rate of 1.5%. PlushCare achieves an 11.7% recommendation rate on the same platform, and Sesame achieves 5.6%. The source-layer evidence AI Mode draws on for shortlist construction does not appear to include strong Teladoc signals.
Teladoc also underperforms on Copilot, where it achieves a 4.5% recommendation rate, zero Rank 1 placements, and an average recommended rank of 4.0 across 35 observations. This suggests Copilot is retrieving Teladoc as a lower-ranked option rather than a primary recommendation.
In the evaluation-stage Telehealth Platform Comparisons and Alternatives cluster, Teladoc captures $56,835 compared to Sesame at $279,636 and Doctor on Demand at $144,967. Teladoc is present in comparison queries but is being displaced in the recommendation output by competitors with stronger structured comparison content and citation support.
Biggest Opportunity
Teladoc's biggest opportunity is converting its mention presence into recommendation credit at the decision stage, specifically in the Telehealth Pricing, Cost and Plans cluster. This cluster carries the highest buyer stage multiplier, represents the highest-intent patient queries, and is where Teladoc currently captures the least value at $8,725 versus $86,247 in the consideration cluster. Patients asking pricing and cost questions are making final selections, and Teladoc is currently absent from the top positions at that moment. Building structured pricing content, plan comparison pages, and review signals that AI systems can retrieve and synthesize into positive recommendations would directly close this gap. The path from consideration-stage brand awareness to decision-stage recommendation credit runs through the source and citation layer that Teladoc has not yet built out for these query types.
Prompt Evidence
Gemini / Consideration Prompt: "What are the best telehealth platforms?" Result: Teladoc appeared in the response and earned recommendation credit, with Gemini being the only platform where Teladoc's recommendation rate exceeded 10%.
Google AI Mode / Evaluation Prompt: "Compare Teladoc vs PlushCare for online doctor visits" Result: Teladoc appeared in 17.4% of responses but earned zero Top 3 recommendations, indicating it was surfaced as a comparison anchor rather than a recommended choice.
Google AI Overviews / Decision Prompt: "How much does Teladoc cost per visit?" Result: Teladoc achieved a 4.6% recommendation rate with an average rank of 1.11 when recommended, suggesting pricing information is retrievable but not consistently surfaced across the decision cluster.
Perplexity / Consideration Prompt: "Best online doctor services 2026" Result: Teladoc achieved a 20% recommendation rate with a 12% Rank 1 rate, representing its strongest recommendation conversion performance across any platform in the dataset.
What CiteWorks Studio Would Do Next
Phase 1: AI Market Discovery Audit Map Teladoc's full recommendation footprint across all 10 prompt clusters and identify the specific citation sources driving neutral mentions versus positive recommendations, with priority on the decision-stage pricing cluster and Google AI Mode.
Phase 2: Recommendation Readiness Plan Build a prioritized remediation plan targeting the decision-stage pricing cluster and Google AI Mode platform, using the specific prompts where Teladoc is present but not recommended to define the correction sequence.
Phase 3: Owned Answer Layer Buildout Develop structured pricing pages, plan comparison content, and patient review pages written to be retrievable and synthesizable by AI systems responding to cost and comparison queries.
Phase 4: Citation / Authority Layer Development Strengthen Teladoc's presence in authoritative comparison articles, editorial reviews, and third-party directories that AI systems use as source material for shortlist construction, particularly for pricing and evaluation-stage prompts.
Phase 5: Monthly AI Visibility and Recommendation Tracking Track Teladoc's recommendation coverage, Top 3 rate, and Rank 1 rate monthly across all six platforms and all active clusters to measure progress and surface emerging displacement patterns before they compound.
Why This Matters
Patients searching for online doctors are receiving AI-generated shortlists that compress the consideration set to three to five brands. Teladoc is being mentioned in those shortlists but is not being recommended in the top positions. In a market where AI recommendations increasingly determine patient choice, being present but not recommended means losing patients at the decision moment to competitors with stronger source-layer evidence.
The benchmark shows that recommendation power is concentrating around brands with stronger citation architecture, better-structured comparison content, and more consistent positive framing. Teladoc's brand recognition creates a foundation, but that foundation is not converting into the recommendation credit that drives patient selection. The next move requires targeted correction of the prompt, page, and citation layers that AI systems use to justify top placement at the moments that matter most.
Core Metrics
- Mentions: 171
- Valid recommendations: 51
- Top 3 recommendation count: 40
- Rank 1 recommendation count: 25
- Average recommended rank: 1.80
- Positive mentions: 62
- Neutral mentions: 109
- Negative mentions: 0
- Raw mention presence rate: 20.6%
- Valid recommendation coverage: 6.2%
- Top 3 recommendation rate: 4.8%
- Rank 1 recommendation rate: 3.0%
- Strongest cluster by recommendation behavior: Consideration (Best Telehealth Platforms and Top Virtual Care Services)
- Strongest platform by recommendation behavior: Gemini
Sentiment Score
Sentiment Score = (positive mentions x 1 + neutral mentions x 0 + negative mentions x -1) / total mentions
Teladoc Sentiment Score = (62 x 1 + 109 x 0 + 0 x -1) / 171 = 62 / 171 = 0.36
A score of 0.36 means Teladoc's mentions carry a moderate positive tilt but are predominantly neutral. Most appearances are references rather than active recommendations. This matters because unclassified mention counts are misleading in any AI visibility analysis. Share of voice is a diagnostic metric, not a business outcome. A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not equivalent signals, and treating them equally produces a distorted picture of where a brand actually stands in the AI recommendation layer. Classified sentiment is required before drawing any conclusions about AI visibility performance.
Sentiment by Platform
Platform | Mentions | Positive | Neutral | Negative | Sentiment Score | Readout |
|---|---|---|---|---|---|---|
ChatGPT | 12 | 9 | 3 | 0 | 0.75 | Positive, but sample too small |
Copilot | 35 | 12 | 23 | 0 | 0.34 | Present, but not recommendation-led |
Gemini | 62 | 22 | 40 | 0 | 0.35 | Strongest public recommendation signal |
Google AI Mode | 34 | 3 | 31 | 0 | 0.09 | Present as context, not recommendation |
Google AI Overviews | 17 | 9 | 8 | 0 | 0.53 | Positive, but sample too small |
Perplexity | 11 | 7 | 4 | 0 | 0.64 | Positive, but sample too small |
Methodology
- This report is a benchmark-based AI Company Market Strategy Report for Teladoc in the Online Doctors category, produced using LLM Authority Index benchmark data interpreted and contextualized by CiteWorks Studio.
- Data was collected in June 2026, with a snapshot date of June 16, 2026.
- Six AI platforms were tracked: ChatGPT, Gemini, Copilot, Perplexity, Google AI Mode, and Google AI Overviews.
- A total of 829 observations were analyzed across three public high-intent clusters included in this report.
- The competitor universe includes 10 companies: Amwell, Doctor on Demand, HealthTap, K Health, Lemonaid Health, LiveHealth Online, MDLive, PlushCare, Sesame, and Teladoc.
- Three public high-intent clusters were used in this report: Consideration (Best Telehealth Platforms and Top Virtual Care Services), Evaluation (Telehealth Platform Comparisons and Alternatives), and Decision (Telehealth Pricing, Cost and Plans). The full LLM Authority Index report for this category includes 10 clusters; the 7 clusters not represented here may affect total metric values and cluster ranking interpretations.
- Stage 0 extraction captured raw AI responses, which were then classified for company presence, sentiment, recommendation status, and rank position.
- A mention is defined as any appearance of the company name in an AI-generated response, regardless of sentiment, framing, or ranking position.
- A valid recommendation is a positive, shortlist-quality recommendation or ranked recommendation that earns recommendation credit in the LLM Authority Index scoring model. Presence is not equivalent to recommendation credit.
- AI Authority Value is a modeled benchmark value derived from recommendation position, cluster multipliers, and estimated query volume. It represents estimated discovery value, not revenue, pipeline, or bookings.
- This report reflects a point-in-time benchmark. AI outputs change as models are updated, source material shifts, and competitor strategies evolve. Modeled values are estimates and should not be treated as revenue figures.
- The public version of this report includes 3 of 10 clusters, which may underrepresent Teladoc's performance in less visible or more specialized prompt categories not covered here.
See How AI Is Recommending Your Brand
The LLM Authority Index benchmark identifies which brands are winning AI recommendations in the Online Doctors category and which are being mentioned without earning shortlist placement. CiteWorks Studio can show where your brand appears across AI platforms, which prompts are producing competitor recommendations instead of yours, which sources are shaping AI answers, and what needs to change at the prompt, page, and citation layer to improve your position at the moments patients are making decisions.
/ Take the next step
Want to Understand Your AI Citation Footprint?
We start every engagement with a full audit of how AI systems reference your brand today.
Measurable, Repeatable Programme
Build a durable foundation of credible citations that compounds over time and continues to influence AI answers as new queries emerge
Citation Architecture Review
Identify which high-authority community sources are and aren't working in your favour across AI platforms.
AI Visibility Audit
Understand exactly how LLMs are referencing your brand today and which sources are shaping those answers.
/ Learn More
Understanding AI search visibility.
AI search experiences create answers by pulling information from many places online and summarizing it into a single response.


