Teladoc Health Appears in 86.7% of AI Answers. Here's Our Five-Step Plan to Improve Its AI Visibility.

Mark HuntleyBy Mark HuntleyFounder and CEO
10 minutes read

Key Takeaways

  • Teladoc Health leads the benchmark with strong mention, recommendation, and first-place rates across AI answers.
  • The main issue to verify is a pair of medium-priority pricing claims about general consultations.
  • Priority work focuses on the company site, especially the homepage and high-citation service pages.
  • Buyer questions center on which telehealth provider or app is best, making comparison content a clear opportunity.

Answer Capsule

In November 2026, Teladoc Health appeared in 346 of 399 AI answers included in the Online Doctors benchmark (86.72%). It received 246 recommendations (61.65%), with 224 Top 3 placements and 160 first-place recommendations. A mention means the company appeared in an answer; a recommendation means the answer affirmatively endorsed it.

Our plan compares the company with its competitors, checks conflicting AI claims against reliable sources, and identifies website pages, third-party sources and buyer questions to address. The historical results show how the figures changed across available months. Different monthly samples limit those comparisons, and conflicting AI claims require verification before corrections are proposed.

Current AI visibility

Questions This Section Answers

  • How do Teladoc Health mentions, recommendations and placements compare with its Online Doctors peers?

Teladoc Health recorded 346 mentions (86.72%) and 246 recommendations (61.65%) across 399 answers included in the benchmark. Top 3 placements numbered 224; first-place recommendations numbered 160. Framing among its mentions was 259 positive, 87 neutral and 0 negative.

Rank

Company

Mentions

Mention rate

Recommendations

Recommendation rate

Top 3

Top 3 rate

#1

#1 rate

1

Teladoc Health

346

86.72%

246

61.65%

224

56.14%

160

40.10%

2

Sesame

241

60.40%

198

49.62%

115

28.82%

46

11.53%

3

Doctor on Demand

258

64.66%

190

47.62%

137

34.34%

21

5.26%

4

MDLive

238

59.65%

182

45.61%

92

23.06%

7

1.75%

5

plushcare

175

43.86%

148

37.09%

66

16.54%

10

2.51%

6

Amwell

226

56.64%

146

36.59%

84

21.05%

3

0.75%

7

K Health

46

11.53%

31

7.77%

10

2.51%

1

0.25%

8

LiveHealth Online

40

10.03%

20

5.01%

8

2.01%

0

0.00%

9

HealthTap

24

6.02%

12

3.01%

6

1.50%

3

0.75%

10

Lemonaid Health

9

2.26%

6

1.50%

1

0.25%

0

0.00%

Teladoc Health is the clear leader in this benchmark, appearing in most answers and being recommended in a strong majority of them. Its positive framing is almost universal, with no negative mentions recorded. That combination of reach, endorsement and favorable wording is a strong position to defend rather than a problem to fix.

The gap to the next company is meaningful on recommendations and first-place placements, which suggests the brand is often the default answer rather than one option among several. The agency's work should protect that standing by keeping the facts AI systems draw on accurate and current.

Because the benchmark sample is a selected set of answers, these rates describe this measurement, not the whole market. Treat the position as a baseline to monitor, not a guarantee.

What changed since last month

Questions This Section Answers

  • How did Teladoc Health counts and coverage differ across the available monthly snapshots?

Metric

Oct 2026

Nov 2026

Mentions

372 / 565 (65.84%)

346 / 399 (86.72%)

Recommendations

257 / 565 (45.49%)

246 / 399 (61.65%)

Top 3 recommendations

227 / 565 (40.18%)

224 / 399 (56.14%)

#1 recommendations

158 / 565 (27.96%)

160 / 399 (40.10%)

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

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.

Between the two reported months, mention and recommendation counts both eased while the rates calculated against the included answers rose. The observed movement is a smaller number of mentions and recommendations alongside a higher share, and the two facts should be read separately.

The answer samples differ between months, so the rate change cannot be attributed to the sample size or to any company action. What matters for the client is that the absolute counts softened while relative standing held.

The agency would track both counts and rates month to month and flag movements for review rather than assigning a cause.

AI recommendation trend

Observed recommendation rate (%), Oct 2026 to Nov 2026

  • Teladoc Health+16.16 pp
    Oct 202645.49%
    Nov 202661.65%

Separate selected monthly samples. Missing points are unavailable, not zero. Provider/prompt equivalence is unverified; rate movement does not demonstrate causation.

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Step 1. Measure

Questions This Section Answers

  • What should the agency measure and verify first for Teladoc Health?

AI answers contained 2 conflicting claims about Teladoc Health: 0 critical, 0 high, 2 medium, 0 low. Of these, 0 were rated critical or high priority; the critical claims are included in that total. These ratings help prioritize fact-checking. They do not establish that a company or publisher made an error.

The benchmark surfaced two conflicting claims about Teladoc Health, both rated medium priority and both concerning general consultation pricing. Neither is rated critical or high, so fact-checking can proceed in a measured way rather than as an emergency.

A visibility comparison showing where the brand leads and a short list of claims to verify would let the client decide what to check first. The agency would build that scorecard and a scoped fact-review register, assigning each claim an owner and an evidence requirement.

A recorded conflict is a prompt to verify, not a finding that anyone made an error.

Step 2. Make the website consistent

Questions This Section Answers

  • Which recorded claim differences about Teladoc Health should be verified before proposed page edits?

Review topic

Severity

Recorded AI claim A

Recorded AI claim B

general consultation price

medium

$89

$75–$85

general consultation price

medium

$89

$75–$85

Both columns quote AI answers, not verified company facts. Resolve the entity, date and source before deciding whether a correction is warranted; different dates can explain an apparent conflict.

Both disputed claims concern the price of a general consultation, and both columns quote AI answers rather than verified company facts. The first task is to confirm which entity, date and source each answer reflects, since different dates can produce an apparent conflict.

The agency would check current primary sources before proposing any correction, and would prepare a conditional page brief only if the approved facts support a change. If the company's own materials already state the price clearly, the brief may focus on making that fact easier to find and cite.

No correction is proposed until verification is complete.

Step 3. Align the external narrative

Questions This Section Answers

  • Which cited third-party pages are relevant to fact review for Teladoc Health?

Cited page selected for review

Citation appearances in all captured answers

Answers mentioning the company

Conflicting claims linked to this page

https://walgreens.com/topic/virtual-healthcare.jsp

55

32

2

https://health.amazon.com/onemedical

32

27

2

https://zocdoc.com/blog/guides/cost-of-telehealth/

20

18

2

https://nugenmedicine.com/telehealth-cost-without-insurance

9

9

2

https://goodrx.com/healthcare-access/telehealth/how-much-does-telehealth-cost

9

8

2

https://doctorondemand.com/

101

77

2

These pages were selected because they relate to the company in the captured answers. Their current contents still need checking before any correction request. A page linked to a conflicting claim is not necessarily its cause, and the same answer may contribute to more than one row.

Several third-party pages were selected for review because they appear alongside Teladoc Health in captured answers, including a major pharmacy page, a retailer health page and cost guides. Each is linked to the same disputed pricing claims, but a link is not evidence that the page caused the conflict.

The agency would check the current contents of these pages first, then decide whether an evidence-backed request to a publisher is justified. Requests would be specific and factual, and a page that needs no change would be recorded as such.

Publisher control is never assumed, and responses are tracked separately from confirmed edits.

Step 4. Optimize priority company pages

Questions This Section Answers

  • Which observed Teladoc Health website pages should receive review briefs?

Company website page

Citation appearances in all captured answers

Benchmark answers citing the page

Recommending answers citing the page

https://teladochealth.com/

128

117

108

https://teladochealth.com/start/no-insurance

14

11

2

https://teladochealth.com/individuals/24-7-care

13

9

9

https://teladochealth.com/start/how-it-works

9

9

9

https://teladochealth.com/individuals/mental-health

8

6

2

https://teladochealth.com/start/faq

6

5

3

https://teladochealth.com/individuals/primary-care

4

3

2

https://teladochealth.com/expert-care/condition-management/weight-management

3

0

0

The company's website was cited 207 times across 24 distinct page addresses; the table shows 8 pages selected for review. Zeros in the answer columns mean no matching answers were recorded. A cited page is not automatically a page that accompanied a recommendation.

The main site is the page most often cited, and it appears in both benchmark and recommending answers. The no-insurance and around-the-clock care pages are cited far less, and the weight-management page shows no matching answers in this sample. That pattern suggests the main site carries most of the company's visibility, while the narrower pages have room to earn more.

The agency would prepare page briefs for the priority pages using approved facts and the questions buyers actually ask, checking existing coverage before proposing anything new. Briefs would note where a page is cited without accompanying a recommendation, so the client can judge whether the content answers the question well. A citation alone does not show that a page influenced an answer.

Step 5. Publish around buyer questions

Questions This Section Answers

  • Which observed buyer questions support content briefs for Teladoc Health?

Question observed in the research

Benchmark answers to this question

Company mentions

Company recommendations

Who is the best telehealth provider?

6

6

6

What are the top telemedicine companies?

5

5

5

What is the best telehealth app?

5

5

5

What is the best telemedicine company?

5

5

5

What's the best telehealth company?

5

5

5

Which online doctor app is best?

5

5

5

Who are the top telehealth providers?

5

5

5

What is the best online doctor site?

4

4

4

These are recorded answer observations, not search volume, verified demand, or proof of missing website content.

The recorded questions are almost all variations on which telehealth provider or app is best, and Teladoc Health appears in every answer to them in this sample. That pattern suggests the brand is already part of the shortlist conversation for these buyer questions.

The agency would check whether existing pages answer these questions directly, then draft buyer-question content only where coverage is thin. Briefs would use approved facts and plain comparisons rather than restating marketing claims.

These are recorded answer observations, not search volume or proof that a page is missing.

Our 90-day action plan

Questions This Section Answers

  • How should the agency sequence the proposed Teladoc Health work and judge completion?

Period

Deliverable

Completion criterion

Days 1–30

Baseline scorecard, scoped fact-review register and page/source shortlist

Each record has an owner, evidence requirement and review status

Days 31–60

Approved page briefs and justified publisher requests

Separate confirmed edits, no-change decisions, requests and responses

Days 61–90

Buyer-content briefs and a fresh scorecard

Record work completed separately from measured answer outcomes and comparability limits

The first month establishes the baseline: a scorecard, a scoped fact-review register and a shortlist of pages and sources, each with an owner and a review status. This gives later work a documented starting point.

The second month produces approved page briefs and any justified publisher requests, with confirmed edits, no-change decisions, requests and responses recorded separately. The third month adds buyer-content briefs and a fresh scorecard.

Completed work is reported separately from measured answer outcomes, and no visibility gain is promised.

Methodology

Questions This Section Answers

  • How are Teladoc Health answer metrics and citation populations defined?

This report covers 2026-11. The exact dates when the original AI answers were collected have not been verified. The visibility rates use 399 answers that met the benchmark's inclusion rules. A company is recommended only when the answer both endorses it and uses positive wording. Top 3 and first-place counts are part of those recommendations, not extra recommendations.

An answer can mention or recommend several companies, so company counts cannot be added to find the number of distinct answers. The net sentiment score is positive minus negative mentions, divided by all company mentions; it describes answer wording, not customer satisfaction.

The wider citation analysis covers 800 captured answers and 5497 appearances of cited URLs. Citation appearances across all captured answers differ from the number of benchmark answers citing a page and the number that also recommend a company. The current contents of cited pages and disputed company claims still need independent verification.

Monthly sample coverage:

Reporting month

Answers included

AI services covered

Services

Oct 2026

565

6

ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity

Nov 2026

399

6

ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity

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.

The report covers a single month, and the exact collection dates for the original answers are unverified. Rates use only answers that met the benchmark's inclusion rules, and a recommendation requires both endorsement and positive wording.

Answers can mention several companies, so counts cannot be added to find distinct answers. Sentiment describes answer wording, not customer satisfaction. The wider citation analysis covers a larger set of answers than the benchmark, and cited pages still need independent checking.

Monthly samples differ, so comparisons show what changed, not why.

Our first three priorities

First, verify the two pricing claims against current primary sources and record the outcome, since both are medium priority and neither justifies urgent action. Second, prepare page briefs for the main site and the most relevant secondary pages, using approved facts and buyer questions, and check the selected third-party pages before any publisher request.

Third, draft buyer-question content around the best-provider questions where existing coverage is thin. Each step has a named owner and a clear completion record, and none is presented as a guaranteed visibility improvement.

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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.

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