HealthTap AI Visibility Market Strategy Report - Online Doctors

Answer Capsule

HealthTap holds only 2.48% valid recommendation coverage in the October 2026 Online Doctors benchmark, placing it ninth of ten tracked brands. The brand appears in 3.36% of qualified observations but converts that presence into a valid recommendation in fewer than one in forty. Its clearest win is a 78.95% net sentiment score, the second highest in the category, and its clearest weakness is near-total absence from the platforms where recommendation volume concentrates. The clearest opportunity is to convert existing positive framing into shortlist placement inside the single qualified prompt cluster.

Who This Report Is For

This report is written for HealthTap's marketing, growth, and executive teams, and for anyone evaluating how the brand is presented when buyers ask AI systems which online doctor service to use.

Report Card

Executive Summary

HealthTap is visible but under-recommended in the October 2026 Online Doctors benchmark. The brand recorded 19 present observations out of 565 qualified observations, a raw mention presence rate of 3.36%, but only 14 valid recommendations, a valid recommendation coverage rate of 2.48%. That gap between being mentioned and being recommended is the central finding of this report.

The framing around those mentions is strongly positive. HealthTap recorded 15 positive mentions, 4 neutral mentions, and zero negative mentions, producing a net sentiment score of 78.95%. Only Lemonaid Health, at 93.33%, scored higher. The brand is not being criticized in AI answers. It is being described favorably and then passed over.

Placement is the sharper problem. HealthTap's top-three recommendation rate is 1.77%, meaning the brand reaches a shortlist in roughly one in fifty-six qualified observations. Its rank-one rate is 0.53%, or three observations across the entire month. The average recommended rank of 2.50 is competitive when the brand does receive rank credit, but that credit is granted so rarely that the average describes a very small sample.

The strongest platform signal is Copilot, where HealthTap recorded a 10.81% valid recommendation coverage rate and an 8.11% top-three rate, both far above its category-wide figures. The weakest signals are ChatGPT, Gemini, and Perplexity, where the brand recorded zero valid recommendations in October 2026 despite Gemini and Perplexity carrying qualified observations.

The benchmark's single qualified cluster, Best Online Doctors & Top Telehealth Services, is where all 565 qualified observations sit. HealthTap's coverage inside that cluster is 2.48%, against a category leader at 49.56%. The brand is competing for a share of a recommendation pool it has barely entered.

What HealthTap Is Winning

Questions This Section Answers

• Where does HealthTap actually win in AI recommendations, and how narrow are those wins?
• Why is Copilot the strongest platform for HealthTap compared with the rest of the category?

HealthTap's strongest evidence-backed win is framing quality. Its net sentiment score of 78.95% is the second highest among the ten tracked brands, behind only Lemonaid Health. Across 19 present observations, the benchmark recorded no negative mentions at all. When AI systems do describe HealthTap, they describe it favorably.

The second win is Copilot. HealthTap's Copilot valid recommendation coverage of 10.81% is more than four times its category-wide rate of 2.48%, and its Copilot top-three rate of 8.11% is more than four times its category-wide top-three rate of 1.77%. Copilot is the one platform where HealthTap converts presence into shortlist placement at a meaningful rate.

The third win is average recommended rank. At 2.50, HealthTap's average rank when it receives rank credit is better than Amwell, MDLive, K Health, LiveHealth Online, and plushcare. The brand is not being placed at the bottom of lists. It is being left off them.

These are real but narrow wins. HealthTap holds no cluster leadership, no platform leadership, and no meaningful share of category recommendation volume. The wins describe a brand that is well regarded in a very small number of answers.

Where HealthTap Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Why does HealthTap appear in AI answers but rarely convert into a valid recommendation?
• Which platforms carry qualified HealthTap observations but return zero recommendations, and what does that absence mean?
• Which competitors are taking the top-three shortlist positions HealthTap is missing?

The clearest gap is recommendation conversion. HealthTap appears in 19 qualified observations and receives valid recommendation credit in 14. That is a conversion pattern consistent with contextual or reference-style mentions rather than active recommendation. Doctor on Demand, by comparison, appears in 373 observations and receives 273 valid recommendations, and Teladoc Health appears in 372 and receives 257.

The second gap is platform absence. HealthTap recorded zero valid recommendations on ChatGPT, zero on Gemini, and zero on Perplexity in October 2026. Those three platforms together account for a substantial share of the benchmark's qualified observations. Gemini alone carried 88 qualified observations and Perplexity carried 34. HealthTap's absence from the recommendation layer on those surfaces is not a framing problem, because the brand is not being framed at all.

The third gap is shortlist displacement. HealthTap's top-three rate of 1.77% means that in the overwhelming majority of qualified observations where a buyer asks for online doctor options, HealthTap is not among the three names returned. The brands taking those positions are Teladoc Health at 40.18%, Doctor on Demand at 37.70%, Sesame at 33.98%, and plushcare at 27.79%. The shortlist is being formed without HealthTap in it.

The fourth gap is scale relative to the category. HealthTap's 14 valid recommendations compare with 280 for Sesame, 273 for Doctor on Demand, and 257 for Teladoc Health. The benchmark's recommendation layer is concentrated among a small group of brands, and HealthTap sits outside that group.

Biggest Opportunity

Questions This Section Answers

• What consideration-stage prompts could move HealthTap from a favorable mention into a shortlist position?
• How could the Copilot recommendation pattern be extended to ChatGPT, Gemini, and Perplexity?

The single biggest opportunity is to convert HealthTap's existing positive framing into shortlist placement inside the Best Online Doctors & Top Telehealth Services cluster. HealthTap already earns favorable description when it appears. The problem is that it appears in 3.36% of qualified observations and reaches a top-three position in 1.77%.

The path runs through the prompts the benchmark actually tested. The qualified cluster includes buyer questions such as which online doctors are legit, how to get a doctor's note without being seen, how to get a doxycycline refill, and whether a virtual visit works for specific conditions. These are consideration-stage prompts where a buyer is assembling a shortlist. HealthTap's Copilot performance shows the brand can reach a shortlist when the surrounding evidence supports it. Extending that pattern to ChatGPT, Gemini, and Perplexity is the highest-value move available.

Competitive Landscape

Questions This Section Answers

• Where does HealthTap sit against Teladoc Health, Doctor on Demand, and Sesame on top-three and rank-one rates?
• How can HealthTap have the second-highest sentiment score but rank eighth of ten on top-three rate?

Recommendation-stage strength in the October 2026 Online Doctors benchmark is concentrated among Teladoc Health, Doctor on Demand, and Sesame, with plushcare close behind on coverage. HealthTap sits in the bottom third of the tracked set, with strong framing but minimal shortlist presence.

Average recommended rank covers rank-eligible recommendations only.

HealthTap sits eighth of ten on top-three rate and level with Amwell on rank-one rate. Its sentiment score is the second highest in the table, which shows that framing quality and recommendation placement are separate measurements that can move in opposite directions. The numbers describe a brand that is well described and rarely shortlisted.

Prompt Evidence

Copilot / Best Online Doctors & Top Telehealth Services Prompt: "Which online doctors are legit?" Result: HealthTap received valid recommendation credit on Copilot at a 10.81% coverage rate, its strongest platform result in the benchmark.

ChatGPT / Best Online Doctors & Top Telehealth Services Prompt: "online doctors" Result: HealthTap recorded zero valid recommendations on ChatGPT in October 2026 despite the platform carrying 41 qualified observations.

Gemini / Best Online Doctors & Top Telehealth Services Prompt: "telemedicine services" Result: HealthTap recorded zero present observations and zero valid recommendations on Gemini across 88 qualified observations.

Perplexity / Best Online Doctors & Top Telehealth Services Prompt: "Can I speak to a doctor for free online?" Result: HealthTap recorded zero valid recommendations on Perplexity across 34 qualified observations, while Amwell reached a 50.00% coverage rate on the same platform.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map exactly which prompts, platforms, and competitor sets produce HealthTap mentions versus HealthTap recommendations, and identify the specific answers where the brand is described but not shortlisted.

Phase 2: Recommendation Readiness Plan Prioritize the Copilot pattern that already works and define what evidence, page structure, and entity clarity would need to replicate it on ChatGPT, Gemini, and Perplexity.

Phase 3: Owned Answer Layer Buildout Strengthen HealthTap's own pages around the consideration-stage questions the benchmark tested, including legitimacy, doctor's notes, prescription refills, and condition-specific virtual visits.

Phase 4: Citation / Authority Layer Development Build the third-party and comparison-source footprint that AI systems retrieve when assembling online doctor shortlists, since the benchmark's citation layer is concentrated in a small set of health information and comparison domains.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track valid recommendation coverage, top-three rate, and rank-one rate by platform each month to confirm whether framing strength converts into shortlist placement.

Why This Matters

Buyers asking AI systems which online doctor to use receive a shortlist, not a directory. HealthTap's 78.95% net sentiment score shows the brand is described well when it appears, but a favorable description inside an answer that does not name the brand as an option does not influence the decision. The benchmark's top-three rate of 1.77% means HealthTap is absent from the shortlist in roughly 98 of every 100 qualified recommendation opportunities.

The next move is not a brand repositioning. It is targeted correction of the prompt, page, and citation layers that determine whether HealthTap is retrieved and named when a buyer asks. The Copilot result shows the pattern is achievable. The gap on ChatGPT, Gemini, and Perplexity shows where the work is.

Core Metrics

Sentiment Score

Questions This Section Answers

• Why can a high sentiment score coexist with very low recommendation coverage?
• Which mention types are counted as wins in share of voice but not as valid recommendations?

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

For HealthTap in October 2026: (15 × 1 + 4 × 0 + 0 × -1) / 19 = 0.7895.

This matters because unclassified mention counts are misleading. A brand that appears in 19 answers and is described favorably in 15 of them looks healthy on a presence chart. The same brand receiving valid recommendation credit in only 14 qualified observations looks very different when the question is whether buyers are being told to consider it.

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 events, and counting them together as wins produces bad measurement. HealthTap's high sentiment score and low recommendation coverage are not contradictory findings. They are two different measurements of two different things, and only the second one describes whether the brand is in the buyer's consideration set.

Classified sentiment is required before interpreting AI visibility. HealthTap's zero negative mentions is a genuine strength. It does not offset a 1.77% top-three rate.

Sentiment by Platform

Questions This Section Answers

• Which platforms show HealthTap as a strong recommendation signal versus a neutral reference?
• What does HealthTap's zero presence on ChatGPT, Gemini, and Perplexity mean for its sentiment readout?

Methodology

1. This report is benchmark-based analysis of HealthTap's position in the October 2026 Online Doctors AI Visibility Market Discovery Index. It is not a client implementation result.
2. The reporting window is October 2026, with July 2026 as the series baseline where historical comparison is used.
3. Six AI search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.
4. The October 2026 benchmark began with 800 collected prompt-surface observations and produced 565 qualified observations after relevance and qualification screening.
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. One public high-intent cluster qualified for measurement: Best Online Doctors & Top Telehealth Services, a consideration-stage cluster. The comparison and pricing clusters carried no qualified observations in this series.
7. Stage 0 extraction produced the prompt-level observations that retain query, surface, answer, brand outcome, recommendation placement, sentiment, and citations where exposed.
8. A mention is counted when HealthTap appears in a qualified observation, whether or not it is recommended.
9. A valid recommendation is counted only when the benchmark marks HealthTap as a recommended option with rank credit. 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 HealthTap appears among the three recommended options. Rank-one rate is the share where it is the first recommendation. Average recommended rank covers rank-eligible recommendations only.
11. The benchmark tracks plushcare under a lowercase identifier in October 2026, separate from the PlushCare casing used in prior months. HealthTap's own metrics are unaffected by this taxonomy break, but category comparisons should be read with it in mind.
12. HealthTap's absolute counts are small. Fourteen valid recommendations and nineteen present observations mean percentage movements should be read alongside the underlying counts rather than in isolation.

See How AI Is Recommending Your Brand

The public benchmark shows where HealthTap stands in AI-generated online doctor recommendations. A company-level AI visibility audit shows which prompts, platforms, competitor sets, and source pages are producing those outcomes, and which specific changes would move HealthTap from a favorable mention into a shortlist position.