HealthTap Appears in 6.0% of AI Answers. Here's Our Five-Step Plan to Improve Its AI Visibility.

Mark HuntleyBy Mark HuntleyFounder and CEO
11 minutes read

Key Takeaways

  • HealthTap appeared in 24 of 399 benchmark AI answers, with 12 recommendations and 3 first-place placements.
  • Its visibility lagged far behind major telehealth competitors, especially Teladoc Health, Doctor on Demand and Sesame.
  • The article found no conflicting claims in the captured answers, so the main issue is limited endorsement rather than negative framing.
  • Recommended work focuses on verified page updates, third-party source review, and buyer-question content around provider choice and online doctor access.

Answer Capsule

In November 2026, HealthTap appeared in 24 of 399 AI answers included in the Online Doctors benchmark (6.02%). It received 12 recommendations (3.01%), with 6 Top 3 placements and 3 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 HealthTap mentions, recommendations and placements compare with its Online Doctors peers?

HealthTap recorded 24 mentions (6.02%) and 12 recommendations (3.01%) across 399 answers included in the benchmark. Top 3 placements numbered 6; first-place recommendations numbered 3. Framing among its mentions was 12 positive, 12 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%

HealthTap appears in a small share of the answers reviewed, and its recommendations are fewer still. The company sits near the bottom of the listed set on both reach and endorsement, so the practical question is not whether it is visible but whether the answers that do mention it describe it accurately and favourably.

Placement is thin as well. Only a handful of mentions land in the top positions, and first-place recommendations are rarer again. That pattern suggests the brand is occasionally recognised but seldom chosen as the answer, which matters for a consumer deciding where to start an online consultation.

Framing is balanced rather than negative, with no hostile mentions recorded. The gap is endorsement, not reputation. Proposed work should therefore focus on whether the pages AI systems draw on give a clear, accurate reason to recommend HealthTap, verified against current primary sources before any change is made.

What changed since last month

Questions This Section Answers

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

Metric

Oct 2026

Nov 2026

Mentions

19 / 565 (3.36%)

24 / 399 (6.02%)

Recommendations

14 / 565 (2.48%)

12 / 399 (3.01%)

Top 3 recommendations

10 / 565 (1.77%)

6 / 399 (1.50%)

#1 recommendations

3 / 565 (0.53%)

3 / 399 (0.75%)

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

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.

Between the two selected months, mentions rose while recommendations slipped slightly. The recommendation rate moved in the opposite direction to the raw count, which is expected when the two samples differ in size and composition. These are separate samples, so the movement should be read as a record of what was observed, not as a trend line.

Top-three placements fell while first-place placements held steady. Because first-place results sit inside the top-three group, the two figures describe the same set of answers at different depths rather than separate gains and losses.

The honest reading is that the month-to-month picture is mixed and not yet stable. Proposed work should establish a consistent baseline before anyone treats a single month as evidence of progress or decline.

AI recommendation trend

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

  • HealthTap+0.53 pp
    Oct 20262.48%
    Nov 20263.01%

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 HealthTap?

AI answers contained 0 conflicting claims about HealthTap: 0 critical, 0 high, 0 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.

No conflicting claims about HealthTap were recorded in the captured answers, which is a cleaner starting position than many brands face. It does not mean the answers are complete or that the underlying pages are current, only that nothing in the sample directly contradicted the company.

The useful measurement step is a visibility comparison that shows where HealthTap is mentioned, recommended and placed relative to the listed competitors, paired with a short list of claims worth checking. That combination lets the client see both the size of the gap and whether any of it rests on inaccurate descriptions.

Proposed work would build a baseline scorecard and a scoped fact-review register, with each item assigned an owner and an evidence requirement. Fact-checking priorities would be set by potential impact on a buyer's decision, not by volume alone.

Step 2. Make the website consistent

Questions This Section Answers

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

No results are available for this part of the analysis.

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.

This part of the analysis returned no results, so there are no disputed topics to resolve for HealthTap at present. That is an absence of findings, not a finding that the website is consistent. The distinction matters before anyone commits budget to page changes.

Where claims do surface in future reviews, each needs its entity, date and source resolved first. An apparent conflict can disappear once two statements are shown to describe different periods or different products. Only after that check would a correction be justified.

Proposed work is a verification pass against current primary sources, followed by conditional page briefs. A brief would be drafted only where a verified gap exists, and ambiguous company matches would stay out of the correction queue entirely.

Step 3. Align the external narrative

Questions This Section Answers

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

Cited page selected for review

Citation appearances in all captured answers

Answers mentioning the company

Conflicting claims linked to this page

https://teladochealth.com/

128

4

0

https://doctorondemand.com/

101

3

0

https://uhcdoctorchat.com/

9

2

0

https://counselhealth.com/

8

2

0

https://healtheh.com/blog/best-telemedicine-companies/

4

2

0

https://shellyandsands.com/wp-content/uploads/2024/11/ShellyandSandsBenefitGuide2025.pdf

2

2

0

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.

The cited pages selected for review are mostly competitor domains and a benefits guide, with no conflicting claims linked to any of them. Citation counts are high for the larger competitors, which is consistent with their broader mention share but does not show that those pages caused the recommendations.

A citation is a record that an answer pointed to a page, not proof of influence over what the answer said. Current page contents still need checking before any request is made, and a page linked to a claim is not necessarily its source.

Proposed work is a focused publisher review: confirm what each relevant page currently says, identify any genuinely inaccurate description of HealthTap, and prepare evidence-backed requests only where a correction is warranted. Responses and no-change decisions would be logged separately.

Step 4. Optimize priority company pages

Questions This Section Answers

  • Which observed HealthTap 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://healthtap.com/

2

2

0

https://healthtap.com/questions/1272545-i-have-gastritis-can-i-eat-popcorn/

1

0

0

https://healthtap.com/questions/494650-is-it-safe-to-kayak-post-hip-replacement-surgery/

1

0

0

https://healthtap.com/terms/

1

1

0

The company's website was cited 5 times across 4 distinct page addresses; the table shows 4 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.

HealthTap's own site was cited a handful of times across a small set of addresses, and none of those citations appeared in answers that recommended the company. The pages involved include the homepage, the terms page and two question pages, one about eating popcorn with gastritis and one about kayaking after hip replacement surgery.

That mix is revealing. The cited question pages are narrow clinical queries rather than pages that help a buyer choose a provider, so they are unlikely to carry recommendation weight. The homepage and terms page are more plausible candidates for a brief.

Proposed work is to check existing coverage first, then draft page briefs built on approved facts and the questions buyers actually ask. Any brief would be reviewed before publication, and no page would be changed on the strength of a citation alone.

Step 5. Publish around buyer questions

Questions This Section Answers

  • Which observed buyer questions support content briefs for HealthTap?

Question observed in the research

Benchmark answers to this question

Company mentions

Company recommendations

Is there a free way to talk to a doctor online?

1

1

1

What is the best online doctor site?

4

1

1

What is the best website to ask medical questions?

2

1

1

Who is the best telehealth company?

4

1

1

ask a doctor online

1

1

1

online doctor consultation

1

1

1

online health clinic

1

1

1

sinus infection treatment online

1

1

1

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

The recorded questions cluster around choosing a provider and getting quick access to a doctor, including free options, the best site for medical questions and treatment for a specific complaint. HealthTap was mentioned and recommended in each of these observed answers, which suggests the brand can surface when the question is framed around access and advice.

These are answer observations, not search volume or proof that the website lacks content. Before proposing anything new, existing pages should be checked for coverage of the same questions.

Proposed work is a set of buyer-question content briefs covering provider choice, free access and common treatment queries, each mapped to an existing page or a justified new one. Briefs would specify the approved facts and the audience question being answered.

Our 90-day action plan

Questions This Section Answers

  • How should the agency sequence the proposed HealthTap 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 would establish the baseline scorecard, a scoped fact-review register and a shortlist of pages and sources to examine. Each record would carry an owner, an evidence requirement and a review status so progress is auditable rather than asserted.

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

Delivered work is not the same as a visibility outcome. The plan tracks completed, reviewed work alongside measured answer results, and it keeps comparability limits visible so no one reads a change in the sample as proof that the work succeeded.

Methodology

Questions This Section Answers

  • How are HealthTap 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 reporting month, and the exact dates the original answers were collected have not been verified. Visibility rates rest on the answers that met the benchmark's inclusion rules, and a company counts as recommended only when an answer both endorses it and uses positive wording.

An answer can mention several companies, so company counts cannot be added to reach a number of distinct answers. Sentiment describes answer wording, not customer satisfaction. The wider citation analysis covers a larger set of captured answers than the benchmark, so citation appearances are not the same as benchmark citations.

Monthly samples differ in size and composition. Comparisons show how recorded results changed, not why.

Our first three priorities

The first priority is a verified baseline: a scorecard that fixes where HealthTap stands on mentions, recommendations and placement, and a fact-review register that records what would need checking before any page or publisher request proceeds. Nothing should be corrected on the strength of an AI answer alone.

The second is a small set of page briefs for the homepage and any existing pages that address provider choice and access questions, built on approved facts and checked against current coverage first. The narrow clinical question pages are poor candidates for recommendation weight.

The third is buyer-question content covering free access, choosing a site and common treatment queries, drafted only where existing coverage falls short. Each item would be reviewed before publication, and results would be reported as completed work alongside, not instead of, measured visibility.

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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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