MDLive AI Visibility Market Strategy Report - Online Doctors

Answer Capsule

MDLive holds 30.44% valid recommendation coverage in the October 2026 Online Doctors benchmark, ranking fifth of ten tracked brands. The brand is visible in 42.83% of qualified observations but converts that presence into a valid recommendation less often than the four brands ahead of it. Its clearest strength is a two-month rise in coverage and a top-three rate that climbed to 19.12% from 11.20% in July 2026. Its clearest weakness is first-position placement: a rank-one rate of 1.77% against Teladoc Health at 27.96%. The clearest opportunity is converting its broad presence into higher placement inside answers where it already appears.

Who This Report Is For

This report is for MDLive's marketing, growth, and brand leadership, and for teams evaluating how the brand is positioned when buyers ask AI systems which online doctor to use.

Report Card

Executive Summary

MDLive sits in the middle of the Online Doctors category on recommendation coverage and near the bottom of the leading group on placement. The benchmark recorded 172 valid recommendations for MDLive across 565 qualified observations in October 2026, a valid recommendation coverage rate of 30.44%. That places the brand fifth of ten tracked companies, behind Sesame at 49.56%, Doctor on Demand at 48.32%, Teladoc Health at 45.49%, and plushcare at 41.59%.

The gap between presence and recommendation is the defining feature of MDLive's position. The brand was mentioned in 42.83% of qualified observations, but only 30.44% produced a valid recommendation. That 12.39-point spread means AI systems surface MDLive as context more often than they place it on the buyer shortlist.

Placement is the sharper issue. MDLive's top-three rate of 19.12% is roughly half of Teladoc Health's 40.18% and well below Doctor on Demand at 37.70% and Sesame at 33.98%. Its rank-one rate of 1.77% is the weakest among the top five brands by coverage, against 27.96% for Teladoc Health, 13.98% for Doctor on Demand, and 12.92% for Sesame. When MDLive appears, it is usually listed rather than led with.

The strongest signal in MDLive's favor is momentum. Coverage rose from 28.20% in July 2026 to 30.44% in October 2026, and the top-three rate climbed from 11.20% to 19.12% over the same period. Raw mention presence rose from 37.50% to 42.83%. The brand is appearing in more answers and being placed higher within them, though both moves remain inside normal month-to-month variation.

The strongest platform signal is Google AI Overviews, where MDLive recorded a 37.95% valid recommendation coverage rate and a 30.12% top-three rate. The weakest platform signal is Copilot, where coverage was 35.14% but the rank-one rate was 0.00% and the top-three rate was 12.16%.

The clearest gap is the absence of qualified observations in the Pricing and Value and Multi-Brand Comparison clusters. All 565 qualified observations in October 2026 fell into the Brand Recommendation cluster, so the benchmark cannot yet show how MDLive performs when buyers ask about cost, insurance, or head-to-head comparisons.

What MDLive Is Winning

Questions This Section Answers

• Where is MDLive actually gaining recommendation credit in the October 2026 benchmark?
• What does MDLive's Google AI Overviews performance show about its placement strength?
• Does MDLive carry any negative sentiment penalty in AI answers?

MDLive's clearest win is directional movement on both presence and placement. Raw mention presence rose 5.33 points from July 2026 to October 2026, and the top-three rate rose 7.92 points over the same period. The brand now appears in more answers than it did at the baseline.

The second win is Google AI Overviews performance. MDLive recorded 63 valid recommendations on that surface, a 37.95% coverage rate, and a 30.12% top-three rate. That top-three rate is the second highest MDLive posted on any tracked platform and sits above its overall category figure.

The third win is sentiment framing. MDLive recorded 178 positive mentions, 64 neutral mentions, and zero negative mentions, producing a net sentiment score of 0.7355. No tracked brand recorded a negative mention in this benchmark, so the absence of negative framing is a category-wide condition rather than a MDLive-specific advantage, but it does mean the brand is not carrying a framing penalty.

These are real but modest wins. MDLive is not the category leader on any single metric, and its placement position remains well behind the top three brands.

Where MDLive Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Why does MDLive convert 42.83% presence into a valid recommendation only 30.44% of the time?
• Where does MDLive's placement quality break down by platform, and what does that suggest about its answer framing?
• Which prompt clusters lack qualified data, and what can't the benchmark show about MDLive because of that?

The clearest gap is first-position placement. MDLive recorded 10 rank-one recommendations across 565 qualified observations, a 1.77% rate. Teladoc Health recorded 158, Doctor on Demand recorded 79, and Sesame recorded 73. MDLive is present in the same answer set as these brands but is chosen first far less often.

The second gap is recommendation conversion. MDLive's presence rate of 42.83% and its valid recommendation coverage of 30.44% leave a 12.39-point spread. Doctor on Demand shows a similar pattern at a higher level, with 66.02% presence against 48.32% coverage, but converts that presence into a top-three placement 37.70% of the time against MDLive's 19.12%.

The third gap is platform inconsistency. On Copilot, MDLive recorded a 35.14% valid recommendation coverage rate but a 0.00% rank-one rate and a 12.16% top-three rate. On Perplexity, coverage was 32.35% with a 17.65% top-three rate. The brand's placement quality varies substantially by surface, which suggests the answer layer is not producing consistent recommendation framing across platforms.

The fourth gap is cluster coverage. MDLive has qualified data only in the Brand Recommendation cluster. The Pricing and Value cluster and the Multi-Brand Comparison cluster recorded zero qualified observations across the full series, so the benchmark cannot show whether MDLive is competitive when buyers evaluate cost or compare brands directly. Those are open questions rather than confirmed weaknesses.

Biggest Opportunity

Questions This Section Answers

• Where can MDLive gain the most by converting existing presence into higher placement?
• Which prompts decide whether MDLive is named first or listed fifth?

MDLive's biggest opportunity is converting its existing presence into higher placement inside the answers where it already appears. The brand is mentioned in 42.83% of qualified observations but appears in the top three only 19.12% of the time and first only 1.77% of the time. Closing even part of that gap would move MDLive from a listed option to a shortlisted one without requiring new presence.

The prompt evidence points to where this is most achievable. High-intent prompts such as "What is the best online doctor website?" and "Which online doctors are legit?" are the questions where placement is decided. MDLive already appears in a meaningful share of these answers. The work is in the framing, comparison, and citation layers that determine whether the brand is named first or listed fifth.

Competitive Landscape

Questions This Section Answers

• How does MDLive's top-three rate and rank-one rate compare with Teladoc Health, Doctor on Demand, and Sesame?
• What separates MDLive from the leading group on placement and average recommended rank?

Sesame, Doctor on Demand, and Teladoc Health hold the strongest recommendation-stage positions in the Online Doctors category, with plushcare close behind. MDLive sits in the second tier, ahead of Amwell and the smaller brands but clearly behind the leading group on both coverage and placement.

Average recommended rank covers rank-eligible recommendations only.

MDLive's row shows a brand that is recommended often enough to rank fifth but placed well behind the four brands above it. Its average recommended rank of 3.12 sits more than a full position behind Teladoc Health at 1.60 and roughly eight-tenths of a position behind Doctor on Demand at 2.31. The rank-one rate of 1.77% is the clearest separator: MDLive is roughly one-sixteenth as likely as Teladoc Health to be named first.

Prompt Evidence

Questions This Section Answers

• What did MDLive's specific prompt-level results show across Google AI Overviews, Copilot, Perplexity, and ChatGPT?

Google AI Overviews / Brand Recommendation Prompt: "What is the best online doctor website?" Result: MDLive appeared with a top-three placement, contributing to its 30.12% top-three rate on this surface.

Copilot / Brand Recommendation Prompt: "Which online doctors are legit?" Result: MDLive was mentioned in 58.11% of Copilot observations but recorded a 0.00% rank-one rate, indicating presence without first-position placement.

Perplexity / Brand Recommendation Prompt: "Can I speak to a doctor for free online?" Result: MDLive recorded a 17.65% top-three rate on Perplexity, below its category average, with one rank-one placement.

ChatGPT / Brand Recommendation Prompt: "online doctors" Result: MDLive appeared in 58.54% of ChatGPT observations with a 21.95% top-three rate and a 2.44% rank-one rate, showing broad presence with limited first-position conversion.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map exactly which prompts, surfaces, and competitor sets produce MDLive recommendations versus mentions, and identify where placement is lost.

Phase 2: Recommendation Readiness Plan Prioritize the prompt clusters and surfaces where MDLive already appears but is not shortlisted, starting with Copilot and Perplexity placement gaps.

Phase 3: Owned Answer Layer Buildout Strengthen the pages and structured content that AI systems retrieve when forming online doctor recommendations, focused on comparison and selection framing.

Phase 4: Citation / Authority Layer Development Build the third-party source footprint that supports MDLive's recommendation claims, since the benchmark shows doctorondemand.com, sesamecare.com, and teladochealth.com among the most cited domains.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track coverage, top-three rate, rank-one rate, and sentiment by platform each month to confirm whether placement gains hold.

Why This Matters

AI systems are now forming the buyer shortlist for online doctor services. MDLive is present in a meaningful share of those answers, but presence is not the same as being recommended, and being recommended is not the same as being named first. The benchmark shows MDLive converting 42.83% presence into 30.44% coverage and 1.77% first-position placement.

The next move is targeted correction of the prompt, page, and citation layers that determine placement. MDLive does not need to appear in more answers to improve its position. It needs the answers it already appears in to place it higher, and that work happens in the source and framing layers AI systems draw from.

Core Metrics

Sentiment Score

Questions This Section Answers

• Why do raw mention counts overstate MDLive's position without classified sentiment?

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

For MDLive in October 2026: (178 × 1 + 64 × 0 + 0 × -1) / 242 = 0.7355.

This matters because unclassified mention counts are misleading. A brand mentioned 242 times sounds strong until the mentions are separated into positive recommendations, neutral references, and cautionary framing. MDLive's 242 mentions break down into 178 positive and 64 neutral, with no negative framing recorded.

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 in value. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because it separates the answers that could produce a shortlist placement from the answers that simply name the brand in passing.

Sentiment by Platform

Questions This Section Answers

• Which platform produced MDLive's strongest recommendation sentiment, and which surfaces showed presence without recommendation?

Methodology

1. This report is a benchmark-based analysis of MDLive's position in the Online Doctors category, drawn from the LLM Authority Index AI Visibility Market Discovery Index for October 2026. It is not a client result and does not imply that any remediation work produced the observed outcomes.
2. The reporting window is October 2026, with July 2026 as the baseline comparison month and August and September 2026 as intermediate months in the series.
3. Six AI search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. All six recorded at least one qualified observation in October 2026.
4. The October 2026 benchmark began with 800 prompt-surface observations and produced 565 qualified observations after qualification. Brand-level percentages use the 565 qualified observations as the public denominator, not the raw collection.
5. The competitor universe contains ten tracked brands: Amwell, Doctor on Demand, HealthTap, K Health, Lemonaid Health, LiveHealth Online, MDLive, plushcare, Sesame, and Teladoc Health.
6. Three public clusters are defined: Best Online Doctors and Top Telehealth Services (consideration stage), Online Doctor Comparisons and Alternatives (evaluation stage), and Online Doctor Pricing, Cost and Insurance (decision stage). Only the first cluster recorded qualified observations in October 2026.
7. Stage 0 extraction produced the prompt-level observations that retain query, surface, answer, brand outcome, recommendation placement, sentiment, and citations where exposed. Stage 0 output feeds the metrics aggregation layer used in this report.
8. A mention is counted when a tracked brand appears anywhere in a qualified AI response, regardless of placement or framing.
9. A valid recommendation is counted when the dataset marks the brand as a positive valid recommendation with a rank between one and ten. Neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations.
10. Top-three rate is the share of qualified observations where the brand appears in the top three recommended options. Rank-one rate is the share where the brand is the first recommendation. Average recommended rank covers rank-eligible recommendations only.
11. PlushCare appears in October 2026 under the lowercase identifier plushcare, separate from the casing used in July, August, and September 2026. The benchmark treats these as two tracked strings. This report uses plushcare for the October 2026 data and treats the same-brand reading as directional.
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. Movements in coverage or placement reflect observed changes in AI-generated outputs across the tested surfaces during the measurement window. The Pricing and Value and Multi-Brand Comparison clusters recorded zero qualified observations across the series, so commercial questions about price competitiveness and head-to-head comparison outcomes cannot be answered from this dataset.

See How AI Is Recommending Your Brand

The public benchmark shows where MDLive is winning and losing recommendation credit across AI search surfaces. A company-level AI visibility audit maps the specific prompts, platforms, competitors, and source pages that determine whether MDLive is named first, shortlisted, or passed over when buyers ask AI systems which online doctor to use.