Online Doctors AI Visibility Ranking Trends - November 2026

Answer capsule

The November 2026 Online Doctors benchmark compares 10 companies across 399 AI answers that met its inclusion rules. Teladoc Health leads with 246 recommendations (61.65% of answers). At least one tracked company was recommended in 291 answers; some answers recommended several companies.

The rankings distinguish being mentioned from receiving an affirmative recommendation, then examine placement and the wording used about each company. Earlier monthly results show how counts and rates changed, with each month using its own answer total. These results describe the answers reviewed, not product quality or customer satisfaction. Differences between monthly samples limit comparisons and do not establish why a result changed.

For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Online Doctors

Industry leaderboard

Questions This Section Answers

• How do Online Doctors rank by recorded AI recommendations in November 2026?

The leaderboard orders companies by how many answers affirmatively recommended them, so it measures recorded endorsement volume rather than overall presence. A company can appear often yet be recommended less often, and ties in recommendation counts should be read as equal standing on this measure alone. Placement figures are nested within recommendations, not separate wins, so first-place and shortlist counts should not be summed with recommendation totals.

Key findings

Tracked-company answer coverage

Questions This Section Answers

• How often did the November 2026 Online Doctors answer sample recommend any tracked company?

291 distinct answers recommended at least one tracked company. Counting each company recommendation separately gives 1179, because an answer can recommend several companies. Answers with no tracked recommendation may still have recommended companies outside this comparison.

Coverage describes how many answers touched the tracked set at all. Nearly every qualified answer mentioned at least one tracked company, while a smaller majority recommended one, and most answers recommended several. Because a single answer can name multiple companies, company-level totals overlap and cannot be added into a market-wide count. Answers without a tracked recommendation may still have named companies outside this comparison.

Reach and affirmative recommendation

Teladoc Health ranks 1 by recommendation count. Mentions: 346 (86.72%); recommendations: 246 (61.65%). Top 3 placements: 224 (56.14%); first-place placements: 160 (40.10%).

Wording about the company: 259 positive, 87 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 71.1%. The net framing score was 0.75 (defined in Methodology).

100 mentions had no recorded recommendation. Of recorded recommendations, 91.06% were Top 3 and 65.04% were first-place.

Mention marks appearance in an answer; recommendation requires affirmative endorsement. Teladoc Health leads on recommendation count, but its mentions exceed its recommendations, so presence and endorsement diverge. The gap between the two is a measured feature of these answers, not evidence about customers or sales. A tie in recommendation counts would be a tie, not a unique winner.

Recommendation order and placement

Placement describes where a recommended company sat in an answer's ordering. Shortlist placements are a subset of recommendations, and first-place placements are a subset of shortlist placements, so these counts nest rather than accumulate. A high recommendation-to-mention ratio means mentions frequently carried endorsement in these answers; it does not describe conversion or preference among customers.

Classified framing in context

Framing records the wording attached to each mention, classified as positive, neutral or negative. No negative wording appears for any tracked company this month, but neutral wording is common for some, which lowers net framing without implying criticism. Framing is not customer sentiment or company quality, and it does not explain why recommendations occurred or did not.

Company results in detail

Teladoc Health

Questions This Section Answers

• What do the November 2026 AI answer results show about Teladoc Health mentions, recommendations and placement?

Teladoc Health ranks 1 by recommendation count. Mentions: 346 (86.72%); recommendations: 246 (61.65%). Top 3 placements: 224 (56.14%); first-place placements: 160 (40.10%).

Wording about the company: 259 positive, 87 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 71.1%. The net framing score was 0.75 (defined in Methodology).

100 mentions had no recorded recommendation. Of recorded recommendations, 91.06% were Top 3 and 65.04% were first-place.

From October 2026 to November 2026, Teladoc Health's mention count fell from 372 to 346, while its recommendation count fell from 257 to 246. The recommendation rate was 45.49% and 61.65% respectively.

Teladoc Health leads on recommendation count and also records the most mentions, with a substantial share of those mentions carrying endorsement. Its placements skew strongly toward the top of answer orderings, and its wording is mostly positive with no negative mentions. The prior-month comparison shows both counts lower while the recommendation rate was higher, a recorded shift whose cause is not established.

Sesame

Questions This Section Answers

• What do the November 2026 AI answer results show about Sesame mentions, recommendations and placement?

Sesame ranks 2 by recommendation count. Mentions: 241 (60.40%); recommendations: 198 (49.62%). Top 3 placements: 115 (28.82%); first-place placements: 46 (11.53%).

Wording about the company: 202 positive, 39 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 82.2%. The net framing score was 0.84 (defined in Methodology).

43 mentions had no recorded recommendation. Of recorded recommendations, 58.08% were Top 3 and 23.23% were first-place.

From October 2026 to November 2026, Sesame's mention count fell from 339 to 241, while its recommendation count fell from 280 to 198. The recommendation rate was 49.56% and 49.62% respectively.

Sesame ranks second on recommendations and shows one of the higher recommendation-to-mention ratios among leading companies, meaning its mentions often carried endorsement. Its shortlist and first-place placements are proportionally smaller than its recommendation total, and its framing is largely positive. Both counts fell from the prior month while the recommendation rate was nearly level, a comparison that does not establish why.

Doctor on Demand

Questions This Section Answers

• What do the November 2026 AI answer results show about Doctor on Demand mentions, recommendations and placement?

Doctor on Demand ranks 3 by recommendation count. Mentions: 258 (64.66%); recommendations: 190 (47.62%). Top 3 placements: 137 (34.34%); first-place placements: 21 (5.26%).

Wording about the company: 193 positive, 65 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 73.6%. The net framing score was 0.75 (defined in Methodology).

68 mentions had no recorded recommendation. Of recorded recommendations, 72.11% were Top 3 and 11.05% were first-place.

From October 2026 to November 2026, Doctor on Demand's mention count fell from 373 to 258, while its recommendation count fell from 273 to 190. The recommendation rate was 48.32% and 47.62% respectively.

Doctor on Demand holds third place on recommendations with a mention base larger than its recommendation count. Most of its recommendations also landed in shortlist positions, though first-place placements are comparatively few, and its wording is predominantly positive. Both counts were lower than the prior month while the recommendation rate was close to level, a recorded change without an established cause.

MDLive

Questions This Section Answers

• What do the November 2026 AI answer results show about MDLive mentions, recommendations and placement?

MDLive ranks 4 by recommendation count. Mentions: 238 (59.65%); recommendations: 182 (45.61%). Top 3 placements: 92 (23.06%); first-place placements: 7 (1.75%).

Wording about the company: 183 positive, 55 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 76.5%. The net framing score was 0.77 (defined in Methodology).

56 mentions had no recorded recommendation. Of recorded recommendations, 50.55% were Top 3 and 3.85% were first-place.

From October 2026 to November 2026, MDLive's mention count fell from 242 to 238, while its recommendation count rose from 172 to 182. The recommendation rate was 30.44% and 45.61% respectively.

MDLive ranks fourth on recommendations, and its mentions frequently carried endorsement. Shortlist placements account for about half its recommendations, while first-place placements are rare, so its presence concentrates in lower ordering positions. Its recommendation count rose from the prior month while mentions were nearly flat, and the recommendation rate was higher; the comparison does not show why.

plushcare

Questions This Section Answers

• What do the November 2026 AI answer results show about plushcare mentions, recommendations and placement?

plushcare ranks 5 by recommendation count. Mentions: 175 (43.86%); recommendations: 148 (37.09%). Top 3 placements: 66 (16.54%); first-place placements: 10 (2.51%).

Wording about the company: 150 positive, 25 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 84.6%. The net framing score was 0.86 (defined in Methodology).

27 mentions had no recorded recommendation. Of recorded recommendations, 44.59% were Top 3 and 6.76% were first-place.

From October 2026 to November 2026, plushcare's mention count fell from 283 to 175, while its recommendation count fell from 235 to 148. The recommendation rate was 41.59% and 37.09% respectively.

plushcare records one of the higher recommendation-to-mention ratios in the set, indicating that when it appeared, endorsement usually followed. Its placements are mostly outside the top positions, with few first-place results, and its wording is largely positive. Both counts fell from the prior month alongside a lower recommendation rate, a recorded comparison that does not establish a cause.

Amwell

Questions This Section Answers

• What do the November 2026 AI answer results show about Amwell mentions, recommendations and placement?

Amwell ranks 6 by recommendation count. Mentions: 226 (56.64%); recommendations: 146 (36.59%). Top 3 placements: 84 (21.05%); first-place placements: 3 (0.75%).

Wording about the company: 152 positive, 74 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 64.6%. The net framing score was 0.67 (defined in Methodology).

80 mentions had no recorded recommendation. Of recorded recommendations, 57.53% were Top 3 and 2.05% were first-place.

From October 2026 to November 2026, Amwell's mention count rose from 215 to 226, while its recommendation count rose from 134 to 146. The recommendation rate was 23.72% and 36.59% respectively.

Amwell's mention count exceeds its recommendation count by a wide margin, giving it one of the lower recommendation-to-mention ratios among the larger companies. Its placements are mostly shortlist rather than first-place, and neutral wording is comparatively frequent. Both counts rose from the prior month alongside a higher recommendation rate, a change whose reason is not established.

K Health

Questions This Section Answers

• What do the November 2026 AI answer results show about K Health mentions, recommendations and placement?

K Health ranks 7 by recommendation count. Mentions: 46 (11.53%); recommendations: 31 (7.77%). Top 3 placements: 10 (2.51%); first-place placements: 1 (0.25%).

Wording about the company: 31 positive, 15 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 67.4%. The net framing score was 0.67 (defined in Methodology).

15 mentions had no recorded recommendation. Of recorded recommendations, 32.26% were Top 3 and 3.23% were first-place.

From October 2026 to November 2026, K Health's mention count rose from 42 to 46, while its recommendation count rose from 30 to 31. The recommendation rate was 5.31% and 7.77% respectively.

K Health appears in a modest share of answers, and roughly two-thirds of those mentions carried endorsement. Its placements are mostly shortlist positions with a single first-place result, and its wording is positive or neutral with nothing negative. Both counts rose slightly from the prior month; with bases this small, month-to-month movement should be read cautiously.

LiveHealth Online

Questions This Section Answers

• What do the November 2026 AI answer results show about LiveHealth Online mentions, recommendations and placement?

LiveHealth Online ranks 8 by recommendation count. Mentions: 40 (10.03%); recommendations: 20 (5.01%). Top 3 placements: 8 (2.01%); first-place placements: 0 (0.00%).

Wording about the company: 20 positive, 20 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 50.0%. The net framing score was 0.50 (defined in Methodology).

20 mentions had no recorded recommendation. Of recorded recommendations, 40.00% were Top 3 and 0.00% were first-place.

From October 2026 to November 2026, LiveHealth Online's mention count fell from 47 to 40, while its recommendation count fell from 31 to 20. The recommendation rate was 5.49% and 5.01% respectively.

LiveHealth Online records a smaller mention base, and exactly half of those mentions carried endorsement. Its placements are all shortlist positions with no first-place results, and its wording splits evenly between positive and neutral. Both counts fell from the prior month, but the small base limits how much weight the comparison can bear.

HealthTap

Questions This Section Answers

• What do the November 2026 AI answer results show about HealthTap mentions, recommendations and placement?

HealthTap ranks 9 by recommendation count. Mentions: 24 (6.02%); recommendations: 12 (3.01%). Top 3 placements: 6 (1.50%); first-place placements: 3 (0.75%).

Wording about the company: 12 positive, 12 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 50.0%. The net framing score was 0.50 (defined in Methodology).

12 mentions had no recorded recommendation. Of recorded recommendations, 50.00% were Top 3 and 25.00% were first-place.

From October 2026 to November 2026, HealthTap's mention count rose from 19 to 24, while its recommendation count fell from 14 to 12. The recommendation rate was 2.48% and 3.01% respectively.

HealthTap appears in a small number of answers, and half of those mentions carried endorsement. Its placements include a few first-place results alongside shortlist positions, and its wording splits evenly between positive and neutral. Mentions rose while recommendations fell from the prior month, a mixed comparison on a small base that does not establish a trend.

Lemonaid Health

Questions This Section Answers

• What do the November 2026 AI answer results show about Lemonaid Health mentions, recommendations and placement?

Lemonaid Health ranks 10 by recommendation count. Mentions: 9 (2.26%); recommendations: 6 (1.50%). Top 3 placements: 1 (0.25%); first-place placements: 0 (0.00%).

Wording about the company: 8 positive, 1 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 66.7%. The net framing score was 0.89 (defined in Methodology).

3 mentions had no recorded recommendation. Of recorded recommendations, 16.67% were Top 3 and 0.00% were first-place.

From October 2026 to November 2026, Lemonaid Health's mention count fell from 15 to 9, while its recommendation count fell from 14 to 6. The recommendation rate was 2.48% and 1.50% respectively.

Lemonaid Health has the smallest mention base in the tracked set, and most of those mentions carried endorsement, though the ratio rests on very few observations. Its placements are almost entirely outside the top positions, and its wording is mostly positive. Both counts fell from the prior month, but with bases this small the comparison is fragile and should not be read as a trend.

Earlier ranking snapshot context

Questions This Section Answers

• How do the available Online Doctors snapshots from July 2026 to November 2026 differ in recommendation coverage and measurement scope?

Only months with verified results are shown. Monthly sample coverage is listed in Methodology.

The two monthly snapshots come from separate answer samples with different totals, so counts and rates are not directly interchangeable across months. A company's count can fall while its rate rises, or the reverse, when the base differs. These comparisons show how recorded results differed; they do not establish why, and a single prior month cannot show rank stability.

What the November Rankings Show

Reach, recommendation, placement and framing answer different questions. Reach asks whether a company appeared; recommendation asks whether the answer affirmatively endorsed it; placement asks where it sat in the ordering; framing asks how the wording read. A company can be widely mentioned yet rarely endorsed, or endorsed often but placed low. None of these measures describes customers, sales or company quality, and none explains why an answer recommended one company over another.

Methodology

Questions This Section Answers

• How were the November 2026 Online Doctors AI visibility measures counted, and what do they not establish?

This benchmark has partial coverage: 3 of 3 planned question categories contributed usable observations; 0 contributed none. This describes question-category coverage, not demonstrated platform outages. Findings apply to the available answer set.

The month in the title is the reporting period. The exact dates when the original AI answers were collected have not been verified.

Each company is counted at most once in each answer that meets the benchmark rules. A recommendation requires both an affirmative endorsement and positive wording. Mention, recommendation, Top 3 and first-place rates use the full benchmark answer total. Top 3 and first-place results are included within recommendations, not added to them.

The recommendation-to-mention ratio divides recommendations by mentions. It describes AI answer wording, not customer conversion. Net framing is positive minus negative mentions, divided by all mentions, on a scale from -1 to +1. It does not measure customer satisfaction or company quality.

Market: US; 10 tracked companies. AI services represented: ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity.

Research screening totals (answer observations can include repeated questions):

The source does not provide a reader-facing definition of “reserved”; that screening label is reported without inferring a reason for exclusion. Only the included benchmark answers form the rate denominator.

One answer can mention or recommend several companies. Adding company totals would therefore count some answers more than once. The results describe the AI answers reviewed, not independently verified facts about the companies or their products.

Monthly sample coverage:

July 2026 measured a different set of companies, so it is excluded from this comparison. August 2026 measured a different set of companies, so it is excluded from this comparison. September 2026 measured a different set of companies, so it is excluded from this comparison.

The answer samples differ between months. These comparisons show how the recorded results changed; they do not establish why they changed.

Coverage is partial: some planned question categories contributed usable observations and others did not, which describes category coverage rather than platform outages. The reporting month is a label, and exact collection dates are unverified. Each company counts at most once per answer, and placement results nest within recommendations rather than adding to them. Recommendation-to-mention ratios describe answer wording, not conversion, and net framing is not customer satisfaction. Monthly samples differ, so comparisons show recorded change without establishing cause.