How AI Search Is Recommending Online Doctors: Monthly Trends

Mark HuntleyBy Mark HuntleyFounder and CEO
13 minutes read

Key Takeaways

  • Sesame led valid recommendation coverage in October 2026, extending its lead over Doctor on Demand.
  • Doctor on Demand and Teladoc Health improved placement, with both brands rising in top-three and rank-one rates.
  • PlushCare’s October data appears under a lowercase identifier, creating a series break that affects interpretation.
  • All qualified observations fell into the brand recommendation cluster, so the benchmark reflects direct recommendation behavior rather than pricing or comparison queries.

Executive Summary

Sesame leads valid recommendation coverage at 49.6% in October 2026, extending the leadership it has held across the series and opening a 1.3-point gap over Doctor on Demand at 48.3%. The category's headline event this month is a record-keeping issue, not a competitive one: PlushCare appears in this month's data under a lowercase identifier (plushcare) separate from the casing used in prior months (PlushCare). Read as a single brand, PlushCare's coverage sits at 41.6% in October 2026 against 46.5% in July 2026, a 4.9-point decline that stays inside normal month-to-month variation. Read as two tracked strings, one series ends at 34.4% in September 2026 and a new one begins at 41.6% in October 2026. The benchmark has not yet told readers which reading is correct, and this report flags that ambiguity rather than resolving it.

Doctor on Demand rose 12.5 points from September 2026 to October 2026, a significant month-over-month move, landing at 48.3% coverage with a 37.7% top-three rate and a 14.0% rank-one rate, both well above their July 2026 levels. Teladoc Health rose 7.2 points month to month to 45.5% coverage, with its rank-one rate climbing to 28.0% from 14.3% in July 2026 and its top-three rate climbing to 40.2% from 24.9%. Sesame also rose 7.2 points from the prior month to 49.6%, with a 34.0% top-three rate and a 12.9% rank-one rate.

PlushCare is the sharpest decliner on the same-brand reading, down 4.9 points from July 2026, and its own tracked series fell 34.4 points from September 2026 to October 2026 before the casing changed. Amwell rose 4.9 points from the prior month, a significant single-month move that lifted its coverage from 18.8% in September 2026 to 23.7% in October 2026, its strongest reading in the series. MDLive extended a two-month rise in coverage, reaching 30.4% in October 2026 from 28.2% in July 2026, with its top-three rate rising to 19.1% from 11.2%; both moves stay within normal month-to-month variation.

Against the prior month, five entries recorded significant moves: Amwell, Doctor on Demand, Sesame, and Teladoc Health on the rise, plus the lowercase plushcare string appearing for the first time. Against the July 2026 baseline, the only moves that exceed normal variation are tied to the identifier break itself: the new plushcare string enters at 41.6% coverage and the PlushCare casing's series ends at a 46.5-point baseline decline. Every other tracked brand's baseline-to-current coverage move — including Teladoc Health's 5.4-point rise, Doctor on Demand's essentially flat read, and MDLive's 2.2-point rise — sits within normal variation. The leader has not changed since the benchmark began tracking this series.

Each monthly benchmark run begins with 800 prompt-surface observations (549 unique questions in July 2026 and 603 in October 2026) across the benchmark's defined AI/search surface universe. All 800 prompts in each month mentioned a tracked brand or competitor; 651 were relevant and 149 were irrelevant in July 2026, and 674 were relevant and 126 were irrelevant in October 2026. The public metrics use the 574 qualified observations from July 2026 and 565 from October 2026 that survive both qualification stages.

AI recommendation trend

valid recommendation coverage, Jul 2026 to Oct 2026

0%15%30%45%60%Jul 2026Aug 2026Sep 2026Oct 2026
  • Sesame49.6%
  • Doctor on Demand48.3%
  • Teladoc Health45.5%
  • plushcare41.6%
  • MDLive30.4%
  • Amwell23.7%
  • LiveHealth Online5.5%
  • K Health5.3%
  • HealthTap2.5%
  • Lemonaid Health2.5%
  • PlushCare0.0%

Key Findings

Signal

October 2026 finding

Coverage leader

Sesame at 49.6%, up 2.6 points from 47.0% in July 2026, within normal variation

Largest baseline mover

Teladoc Health up 5.4 points, from 40.1% to 45.5%, just inside normal variation, with rank-one up 13.7 points

Largest top-three rate mover

Doctor on Demand up 13.0 points on top-three rate, from 24.7% to 37.7%, while coverage held at 48.3%

Largest decliner

PlushCare down 4.9 points on the same-brand reading, from 46.5% to 41.6%

Identifier break

PlushCare appears as plushcare in October 2026, a separate string from prior months, producing the only baseline-significant moves this month

Category movement

Stable on the baseline measure for nine of ten brands; four brands (Amwell, Doctor on Demand, Sesame, Teladoc Health) posted significant month-over-month gains

Benchmark Context

Questions This Section Answers

  • How many of the 800 monthly prompts actually count toward the brand percentages?
  • Did the qualified benchmark size change between July and October 2026?

The report separates the raw collection universe from the qualified analysis set. Brand-level recommendation percentages are calculated within the qualified benchmark set.

Research stage

Jul 2026

Oct 2026

What it represents

Source prompt-surface observations collected

800

800

Total prompts run across AI/search surfaces

Unique questions

549

603

Distinct questions after de-duplication

Brand / competitor mentions

800

800

Prompts mentioning a tracked brand or competitor

Relevant prompts

651

674

Prompts on-topic for the online doctor category

Irrelevant prompts

149

126

Prompts off-topic or not applicable

Qualified benchmark observations

574

565

Public denominator for all brand percentages

Qualified surface breadth

6

6

AI surface families with at least one qualified observation

Benchmark-Level Metrics

The core benchmark-level metrics below summarize measurement conditions across both months before the brand-level analysis begins.

Metric

Jul 2026

Oct 2026

Change

Qualified observations

574

565

Down 9

Companies tracked

10

10

No change

Recommendation-shaped answer share

44.8%

61.1%

Up 16.3 points

Valid recommendation shortlist share

57.7%

74.7%

Up 17.0 points

Category leader by coverage

Doctor on Demand (48.4%)

Sesame (49.6%)

Leader changed

The recommendation-shaped answer share rose from 44.8% in July 2026 to 61.1% in October 2026, meaning AI systems structured more online doctor answers as direct recommendations this month than at any point in the series. The valid recommendation shortlist share also rose, from 57.7% to 74.7%. September 2026 was the intermediate low point at 35.0% and 52.8%, so October 2026 represents a sharp reversal of that pullback rather than a continuation. The category leader by coverage changed from Doctor on Demand to Sesame across the series, with the leadership shift already visible by September 2026.

AI Recommendation Trend

Questions This Section Answers

  • Which online doctor brands now make up the top recommendation cluster, and how far apart are they?
  • Which brands moved most on coverage against the July 2026 baseline?

A Top Cluster Tightened to 4.1 Points as PlushCare's Identifier Split

Sesame's 2.6-point baseline rise and Doctor on Demand's 13.0-point top-three gain pulled the leading brands back toward their July 2026 levels, reconstituting a top group spanning 45.5% to 49.6% across Sesame, Doctor on Demand, and Teladoc Health.

Brand

Jul 2026

Oct 2026

Movement

Oct 2026 rank

Amwell

20.7%

23.7%

Up 3.0 points

6th

Doctor on Demand

48.4%

48.3%

Down 0.1 points

2nd

HealthTap

3.5%

2.5%

Down 1.0 points

9th (tie)

K Health

4.7%

5.3%

Up 0.6 points

8th

Lemonaid Health

1.6%

2.5%

Up 0.9 points

9th (tie)

LiveHealth Online

6.8%

5.5%

Down 1.3 points

7th

MDLive

28.2%

30.4%

Up 2.2 points

5th

PlushCare

46.5%

41.6%

Down 4.9 points

4th

Sesame

47.0%

49.6%

Up 2.6 points

1st

Teladoc Health

40.1%

45.5%

Up 5.4 points

3rd

On the primary coverage metric, none of the ten tracked brands recorded a baseline-to-current move large enough to exceed normal month-to-month variation; the only baseline-exceeding moves this month trace to the PlushCare/plushcare identifier split. Month-over-month, Amwell, Doctor on Demand, Sesame, and Teladoc Health each posted a significant prior-to-current gain in coverage, which is what pulled the leading cluster back toward its July 2026 spread.

What Changed This Month

Questions This Section Answers

  • Which brands posted significant month-over-month coverage gains in October 2026?
  • Why is the PlushCare identifier break the only move that exceeds normal variation?

Sesame: Leadership Extended With Balanced Placement

Sesame's valid recommendation coverage rose from 47.0% in July 2026 to 49.6% in October 2026, a 2.6-point baseline gain that stays within normal month-to-month variation, and lifted 7.2 points from September 2026, a move that exceeded normal variation. The brand has held the coverage lead across every month in the series.

Placement metrics moved alongside coverage. Sesame's recommended top-three rate rose from 26.0% in July 2026 to 34.0% in October 2026, an 8.0-point move, and its rank-one rate rose from 10.8% to 12.9%. Sesame recorded 280 valid recommendations in October 2026, up from 270 in July 2026.

A small caveat: Sesame's baseline coverage gain sits inside normal variation, so the significant month-over-month reading may reflect a single strong month rather than a durable shift. Raw mention presence eased slightly, from 61.9% to 60.0%.

Highest-priority diagnostic: Which prompt types drove the top-three expansion, and does the placement gain hold into November 2026?

Doctor on Demand: Coverage Held While Placement Improved Sharpest in the Category

Doctor on Demand's valid recommendation coverage held essentially flat, sitting at 48.4% in July 2026 and 48.3% in October 2026 — a baseline move inside normal variation — but the brand rose 12.5 points from September 2026, a significant month-over-month move. The prior month's decline, visible in September 2026 at 35.8%, appears to have reversed.

Placement metrics moved more than coverage. Its recommended top-three rate rose from 24.7% in July 2026 to 37.7% in October 2026, a 13.0-point gain, and its rank-one rate rose from 7.5% to 14.0%. Doctor on Demand recorded 273 valid recommendations in October 2026, compared with 278 in July 2026.

The distinction worth noting: coverage held flat while top-three and rank-one both moved up. The brand appears in a similar share of answers but is placed higher within them. Raw mention presence eased slightly, from 68.8% to 66.0%, so the placement gain did not come from being mentioned more often.

Highest-priority diagnostic: Which surfaces drove the top-three expansion, and are those the same surfaces where Teladoc Health gained rank-one placements?

Teladoc Health: Placement Strength Now Matches the Strongest in the Category

Teladoc Health's valid recommendation coverage rose from 40.1% in July 2026 to 45.5% in October 2026, a 5.4-point baseline gain that sits just inside normal month-to-month variation. The brand rose 7.2 points from September 2026, a significant month-over-month move.

Placement has pulled clearly ahead of the top cluster. Its recommended top-three rate rose from 24.9% in July 2026 to 40.2% in October 2026, a 15.3-point gain. Its rank-one rate rose from 14.3% to 28.0%, a 13.7-point gain. Teladoc Health recorded 257 valid recommendations in October 2026, up from 230 in July 2026.

Teladoc Health's coverage sits near the top of the category, and its placement metrics now exceed both Sesame and Doctor on Demand. Raw mention presence rose from 58.2% to 65.8%, so this brand's rise combines both broader presence and higher placement.

Highest-priority diagnostic: Which high-intent prompts now place Teladoc Health first, and does the rank-one rate hold when Sesame and Doctor on Demand placements recover?

PlushCare: Identifier Break Complicates the Series

PlushCare's valid recommendation coverage sat at 46.5% in July 2026, 40.1% in August 2026, and 34.4% in September 2026, declining every month. In October 2026, no observations appear under the PlushCare casing; instead, the data records a separate brand string, plushcare, at 41.6% coverage with a 50.1% raw mention presence rate and a 27.8% top-three rate.

The same-brand reading treats PlushCare and plushcare as one continuing brand: coverage falls from 46.5% in July 2026 to 41.6% in October 2026, a 4.9-point decline inside normal month-to-month variation. On the two-string reading, one series ends at 34.4% in September 2026 and a new one begins at 41.6% in October 2026, and the benchmark currently shows a 34.4-point prior-to-current decline for the PlushCare casing and a 41.6-point prior-to-current rise for plushcare.

The benchmark records the prior-to-current decline for PlushCare as significant and the plushcare appearance as significant. Both movements may be artifacts of casing rather than category behavior. The benchmark cannot resolve this from the current month's data alone.

Highest-priority diagnostic: Whether the October 2026 casing change reflects a taxonomy update in the benchmark or a genuine change in how AI systems name this brand in answers.

Amwell: Significant One-Month Rebound From September's Low

Amwell's valid recommendation coverage rose from 20.7% in July 2026 to 23.7% in October 2026, a 3.0-point baseline gain inside normal variation, and lifted 4.9 points from September 2026, a significant month-over-month move. September 2026 was the series low at 18.8%.

Placement moved in the same direction. Its recommended top-three rate rose from 7.8% in July 2026 to 14.2% in October 2026, a 6.4-point baseline gain. Its rank-one rate eased from 1.6% to 0.5%, moving in the opposite direction. Amwell recorded 134 valid recommendations in October 2026, up from 119 in July 2026.

The distinction here: Amwell's top-three rate rose while its rank-one rate fell slightly. The brand appears in more shortlists but is placed first less often. Raw mention presence rose from 32.8% to 38.0%.

Highest-priority diagnostic: Which prompts drove the top-three gain without shifting rank-one placement, and did those come at the expense of the lower half of the top cluster?

MDLive: Two-Month Rise Extended on Both Presence and Placement

MDLive's valid recommendation coverage rose from 28.2% in July 2026 to 30.4% in October 2026, a 2.2-point baseline gain within normal variation, and lifted 3.8 points from September 2026, also within normal variation. The rise extends across two consecutive months and stays within normal month-to-month variation throughout.

Placement moved in the same direction. Its recommended top-three rate rose from 11.2% in July 2026 to 19.1% in October 2026, a 7.9-point gain. Its rank-one rate rose from 0.7% to 1.8%. MDLive recorded 172 valid recommendations in October 2026, up from 162 in July 2026.

Presence moved alongside placement. Raw mention presence rose from 37.5% to 42.8%, a 5.3-point gain. The brand now appears in more answers than it did in July 2026.

Highest-priority diagnostic: Which surfaces drove the top-three expansion, and does the presence gain convert into coverage gains next month?

Notable Gap: The PlushCare and Teladoc Health Spread Widened Under the Identifier Break

The benchmark records a widened gap between PlushCare and Teladoc Health of 51.9 points across the series. That figure is driven almost entirely by the October 2026 casing break rather than by any change in either brand's underlying recommendation performance: on the same-brand reading, the two brands are separated by just 3.9 points, with Teladoc Health at 45.5% and PlushCare at 41.6%. The gap should be treated as a category observation about identifier stability, not as competitive repositioning between these two brands.

Highest-priority diagnostic: Whether the benchmark's brand taxonomy will align PlushCare and plushcare in future months, which would collapse this apparent gap.

Buyer-Intent Interpretation

Questions This Section Answers

  • Which buyer-intent clusters produced qualified observations this month?
  • What pricing and comparison questions can this benchmark not yet answer?

Buyer-intent cluster

What it captures

Strategic question

Brand Recommendation

Queries where AI systems recommend a specific online doctor brand

Which brands earn the recommendation when a shopper asks for a direct answer?

Pricing & Value

Queries about cost, insurance, subscription, and value comparison

Which brands are surfaced when shoppers evaluate price and affordability?

Multi-Brand Comparison

Queries asking AI to compare two or more brands head to head

Which brands are included in comparison answers, and who wins the top slot?

In October 2026, all 565 qualified observations fell into the Brand Recommendation cluster, with zero qualified observations in the Pricing & Value or Multi-Brand Comparison clusters. The qualified observations therefore tell a direct-recommendation story: AI systems are answering "which online doctor should I use" style questions, and the benchmark can measure which brands win those recommendations.

Because the Pricing & Value and Multi-Brand Comparison clusters were empty across the full series, the public benchmark cannot yet answer commercial questions about price competitiveness, value positioning, or head-to-head comparison outcomes. Those remain open questions that a company-level analysis could address.

Brand Opportunity Summary

Questions This Section Answers

  • What is each brand's highest-priority diagnostic based on its October 2026 signal?
  • Which brands show placement gains without matching coverage gains?

Brand

Oct 2026 coverage

Current signal

Highest-priority diagnostic

Amwell

23.7%

Significant prior-to-current rise from 18.8%

Which prompts drove the top-three gain without shifting rank-one placement?

Doctor on Demand

48.3%

Coverage flat but top-three and rank-one both up

Which surfaces drove the top-three expansion?

HealthTap

2.5%

Stable at low coverage, 19 present observations

Is the low-count pattern reversing or steady?

K Health

5.3%

Stable, one-month rise from 3.4% in September 2026

Which competitor takes the recommendation when K Health loses?

Lemonaid Health

2.5%

Stable, 14 valid recommendations

Which prompts now surface the brand?

LiveHealth Online

5.5%

Non-significant rise from 3.9%, one-month recovery

Is the recovery durable or a single-month rebound?

MDLive

30.4%

Two-month rise, top-three gain from 11.2%

Does the presence gain convert into coverage gains?

PlushCare

41.6%

Identifier change in October 2026, same-brand reading down 4.9 points from July 2026

Will the casing change persist into November 2026?

Sesame

49.6%

Leader, top-three gain from 26.0%

Which prompt types drove the top-three expansion?

Teladoc Health

45.5%

Significant month-over-month rise with rank-one at 28.0%

Which high-intent prompts now place Teladoc Health first?

The benchmark identifies where attention is warranted; a company-level analysis is needed to explain why.

Evidence Behind the Benchmark

The aggregate metrics are built from prompt-level observations (query, surface, recommendation outcome, rank, sentiment, and citations where exposed). Company-level analysis can go deeper into prompt, competitor, surface, and evidence patterns. Source presence is not automatically treated as proof of causation.

About This Benchmark

This report is part of the CiteWorks Studio AI Visibility Industry Market research program:

Report-Specific Interpretation Notes

  • Small-count movement: HealthTap, K Health, Lemonaid Health, and LiveHealth Online each sit on fewer than 35 valid recommendations in October 2026. Their coverage percentages should be read alongside those absolute counts.
  • Identifier break: PlushCare appears as plushcare in October 2026, a separate string from the casing used in July, August, and September 2026. The benchmark treats these as two rows; readers should treat the same-brand reading as directional and not as a resolved series.
  • Qualified denominator vs raw collection: brand percentages are calculated on 574 (July 2026) and 565 (October 2026) qualified observations, not the 800-prompt raw collection.
  • Directional analysis: month-over-month movement identifies changes worth investigating; it does not by itself establish the cause of those changes.

Next Step

The Public Benchmark Shows Where a Brand Is Winning or Losing. A Company-Level Audit Shows Why.

The aggregate percentages answer which brands win AI recommendation credit, but they do not explain the mechanics beneath the movement. Which high-intent prompts are won, which competitor takes the recommendation when a brand loses, what attributes AI associates with each option, and which external sources shape those answers are the questions that determine whether a coverage change reflects a fixable visibility issue or a deeper positioning problem.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. Rather than reacting to aggregate movements, the audit identifies the specific levers that drive recommendation outcomes for a single brand.

Request an AI visibility audit

/ 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.

What Is AI Citation Intelligence?
AI citation intelligence is the process of measuring where AI platforms source their information and how frequently a brand is mentioned or referenced in AI-generated responses. Because LLMs synthesize across multiple sources, the sites and brands that appear repeatedly tend to influence how a topic or company is framed. This practice focuses on identifying which sources shape AI outputs and tracking brand visibility across different AI systems.
What Is Citation Architecture?
Citation architecture describes the set of sources that consistently inform how AI systems talk about a brand, product, or topic. LLMs draw from websites, articles, forums, and public discussion, and the sources they rely on most often become the backbone of their answers. Building strong citation architecture means ensuring that accurate, credible, high authority sources are the ones most likely to shape the way AI tools summarize and recommend a brand.
What Is Generative Engine Optimization?
Generative engine optimization (GEO) is the practice of improving the chances that AI systems use and cite your brand or content when generating answers. While traditional SEO is centered on ranking pages in search results, GEO focuses on how LLMs retrieve, interpret, and combine information when responding to a question. The objective is to strengthen the content and sources AI systems rely on, so your brand is treated as a trusted reference in AI responses.
What Is AI Share of Voice?
AI share of voice tracks how often a brand appears in AI-generated answers compared with competitors in the same category. It reflects visibility across AI platforms such as ChatGPT, Gemini, Claude, and Perplexity. Monitoring AI share of voice helps organizations see whether AI systems consistently include and recommend their brand for key queries or whether competitor brands are showing up more often.

About The Author

Mark Huntley

Mark Huntley

Founder and CEO

Mark Huntley, J.D. is founder of CiteWorks Studio, a strategic advisory focused on visibility, authority, and recommendation presence in AI-shaped search environments. His work centers on embedding-level GEO, vector optimization, and cosine gap engineering — helping brands align their digital presence with the retrieval systems that increasingly shape discovery, interpretation, and choice.

VIEW ALL CASE STUDIESREQUEST AN AI VISIBILITY AUDIT