K Health AI Visibility Market Strategy Report - Online Doctors

Answer Capsule

K Health holds 5.3% valid recommendation coverage in the October 2026 Online Doctors benchmark, placing it eighth of ten tracked brands. The brand appears in 7.4% of qualified AI responses but converts that presence into a valid recommendation in only about seven of every ten appearances, and it records just 4 top-three placements and a single rank-one placement across 565 qualified observations. The clearest win is a positive framing profile with no negative mentions recorded. The clearest weakness is near-total absence from the recommendation layer that the category's leading brands now occupy. The clearest opportunity is the consideration-stage cluster where AI systems are actively naming online doctor options and K Health is rarely among them.

Who This Report Is For

This report is written for K Health's marketing, growth, and executive teams, and for category analysts tracking how AI search and assistant surfaces shape online doctor discovery.

Report Card

Executive Summary

K Health is visible in the Online Doctors category but is not being recommended at scale. The October 2026 benchmark records 42 mentions across 565 qualified observations, a raw mention presence rate of 7.4%, and 30 valid recommendations, a valid recommendation coverage rate of 5.3%. That places K Health eighth among ten tracked brands, ahead of only LiveHealth Online, HealthTap, and Lemonaid Health on coverage, and far behind the recommendation leaders.

The gap between presence and recommendation is the central finding. K Health appears in 7.4% of qualified answers but receives valid recommendation credit in 5.3%, meaning roughly three in ten appearances are reference-only rather than recommendation-shaped. The brand records 4 top-three placements (0.7%) and a single rank-one placement (0.2%) across the full benchmark. Its average recommended rank of 4.29 is the weakest among brands with rank-eligible recommendations.

The strongest cluster signal is the consideration-stage cluster, "Best Online Doctors & Top Telehealth Services," which is the only cluster with qualified observations in the October 2026 series. K Health's entire measured footprint sits inside that cluster. The pricing and value cluster and the multi-brand comparison cluster recorded zero qualified observations across the series, so the benchmark cannot yet show how K Health performs when buyers ask about cost, insurance, or head-to-head comparisons.

The strongest platform signal is Google AI Overviews, where K Health records 10 valid recommendations and a 6.0% coverage rate, the highest single-platform coverage figure in its profile. The weakest platform signals are ChatGPT and Gemini, where K Health records zero mentions and zero recommendations in the October 2026 data. That absence is material: ChatGPT and Gemini are two of the six tracked surface families, and K Health is effectively invisible in both.

Sentiment is not the problem. K Health records 31 positive mentions, 11 neutral mentions, and zero negative mentions, producing a net sentiment score of 0.7381. The brand is framed favorably when it appears. The issue is that it appears rarely, and when it does appear it is usually listed rather than recommended.

The clearest competitive gap is against Doctor on Demand, which holds 48.3% coverage, 37.7% top-three rate, and 14.0% rank-one rate on the same 565 observations. Doctor on Demand appears in 66.0% of qualified answers. K Health appears in 7.4%. The two brands are competing for the same consideration-stage prompts, and one is being named while the other is not.

What K Health Is Winning

Questions This Section Answers

• Where does K Health actually win in the October 2026 Online Doctors benchmark?
• How competitive is K Health's sentiment score compared with the leading brands?

K Health's clearest win is framing quality. Across 42 mentions, the benchmark records 31 positive and 11 neutral, with zero negative mentions. A net sentiment score of 0.7381 places K Health in the upper half of the tracked set on framing, ahead of Amwell (0.6605), LiveHealth Online (0.6596), and MDLive (0.7355), and behind only Lemonaid Health (0.9333), plushcare (0.8410), Sesame (0.8319), and HealthTap (0.7895).

The second win is a narrow but real recommendation pocket on Google AI Overviews. K Health records 10 valid recommendations on that surface, a 6.0% coverage rate, and a 4.7 average recommended rank. That is the brand's strongest single-platform recommendation signal and the only surface where K Health records meaningful recommendation volume.

The third win is a measurable month-over-month improvement in coverage. The benchmark records K Health rising to 5.3% in October 2026 from 3.4% in September 2026, a one-month gain that the source material describes as stable rather than trend-forming. The move is small in absolute terms but directionally positive.

Beyond those three signals, the win column is thin. K Health does not lead any cluster, does not lead any platform, and does not appear in the top three of any category ranking. The report states that plainly rather than overstating the evidence.

Where K Health Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Why does K Health's mention presence convert into fewer valid recommendations?
• Which competitors are capturing the recommendation credit K Health is missing on ChatGPT and Gemini?
• Which prompt types remain unmeasured for K Health because of the missing clusters?

The clearest gap is recommendation conversion. K Health's raw mention presence rate of 7.4% is roughly 1.4 times its valid recommendation coverage of 5.3%. That ratio means the brand is being named in AI answers more often than it is being recommended in them. In a category where the leading brands convert presence into recommendation at close to parity or better, K Health is losing recommendation credit on a meaningful share of the answers where it appears.

The second gap is top-three and rank-one placement. K Health records 4 top-three placements and 1 rank-one placement across 565 qualified observations. By comparison, Doctor on Demand records 213 top-three placements and 79 rank-one placements, Teladoc Health records 227 and 158, Sesame records 192 and 73, and plushcare records 157 and 38. Even MDLive, which sits fifth on coverage, records 108 top-three placements and 10 rank-one placements. K Health's placement volume is closer to the bottom of the tracked set than to the middle.

The third gap is platform absence. K Health records zero mentions and zero recommendations on ChatGPT and zero mentions and zero recommendations on Gemini in the October 2026 data. Those are two of the six tracked surface families. The brand's measured footprint is concentrated on Google AI Overviews (10 valid recommendations), Copilot (11 valid recommendations), Google AI Mode (6 valid recommendations), Perplexity (2 valid recommendations), and Gemini (1 valid recommendation). ChatGPT, the surface where several competitors record their strongest recommendation rates, is a complete blank.

The fourth gap is competitive displacement inside the consideration cluster. The benchmark records Doctor on Demand as the cluster winner for the "Best Online Doctors & Top Telehealth Services" cluster, with 80,483 in modeled AI Visibility Authority Value against K Health's 1,456. The same cluster shows Teladoc Health, plushcare, Sesame, and MDLive all capturing materially more recommendation credit than K Health. When AI systems answer "which online doctors are legit" or "what is the best online doctor website," K Health is rarely the brand being named first.

The fifth gap is the absence of qualified observations in the pricing and value and multi-brand comparison clusters. That absence is a benchmark-level limitation, not a K Health-specific failure, but it means the brand's performance on cost, insurance, and head-to-head comparison prompts is unmeasured in the current public series. Those are high-intent prompt types, and the benchmark cannot yet show whether K Health wins or loses them.

Biggest Opportunity

Questions This Section Answers

• What would closing K Health's presence-to-recommendation gap actually change in the standings?
• Which consideration-stage prompts should K Health prioritize to improve its average recommended rank?

The single biggest opportunity is to convert K Health's existing mention presence into valid recommendation credit inside the consideration-stage cluster. The brand already appears in 7.4% of qualified answers. It receives recommendation credit in 5.3%. Closing that gap would move K Health from eighth on coverage to roughly the middle of the tracked set without requiring any new presence at all.

The mechanics of that opportunity are specific. K Health's average recommended rank of 4.29 is the weakest among rank-eligible brands, which means that when the brand does receive recommendation credit, it is placed near the bottom of the shortlist rather than near the top. The brand's top-three rate of 0.7% and rank-one rate of 0.2% confirm that pattern. The opportunity is not to appear more often. It is to appear higher when it appears, and to be named as a recommendation rather than a reference.

The prompt types that matter most are the ones already producing qualified observations in the consideration cluster: "online doctor visit," "virtual doctor," "telemedicine services," "Which online doctors are legit," "online doctors," "Can I speak to a doctor for free online," and "Can you do a virtual visit for diarrhea." Those are the prompts where AI systems are actively naming online doctor options, and they are the prompts where K Health's recommendation conversion is weakest relative to its presence.

Competitive Landscape

Questions This Section Answers

• Where does K Health sit relative to Doctor on Demand and Teladoc Health on placement and ranking?
• Which brands lead the Online Doctors category on top-three rate and rank-one rate?

Doctor on Demand and Teladoc Health hold the strongest recommendation-stage positions in the Online Doctors category, with Sesame and plushcare close behind on coverage and placement. K Health sits in the bottom third of the tracked set, with presence that does not convert into recommendation credit at the rate the leading brands achieve.

Average recommended rank covers rank-eligible recommendations only.

K Health's row shows the pattern clearly: the lowest top-three rate and the lowest rank-one rate among brands with any rank-eligible recommendations, paired with the weakest average recommended rank in the set. The brand's sentiment score is competitive with the middle of the table, which confirms that framing is not the constraint. Placement and recommendation conversion are.

Prompt Evidence

Google AI Overviews / Best Online Doctors & Top Telehealth Services Prompt: "Which online doctors are legit?" Result: K Health received recommendation credit on this surface, contributing to its 10 valid recommendations and 6.0% coverage rate on Google AI Overviews, the brand's strongest single-platform signal.

ChatGPT / Best Online Doctors & Top Telehealth Services Prompt: "What is the best online doctor website?" Result: K Health recorded zero mentions and zero recommendations on ChatGPT in the October 2026 data, while Doctor on Demand, Teladoc Health, Sesame, and plushcare all recorded recommendation credit on the same surface.

Copilot / Best Online Doctors & Top Telehealth Services Prompt: "online doctors" Result: K Health recorded 11 valid recommendations on Copilot, a 14.9% coverage rate, and a 3.0 average recommended rank, placing the brand in the shortlist but not near the top.

Perplexity / Best Online Doctors & Top Telehealth Services Prompt: "Can I speak to a doctor for free online?" Result: K Health recorded 2 valid recommendations on Perplexity, a 5.9% coverage rate, and a 4.5 average recommended rank, appearing as a lower-ranked option rather than a leading recommendation.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map exactly which consideration-stage prompts produce K Health mentions versus recommendations, and identify the specific answers where the brand appears but is not recommended.

Phase 2: Recommendation Readiness Plan Prioritize the prompts and surfaces where K Health's presence-to-recommendation gap is widest, starting with ChatGPT and Gemini, where the brand currently records no presence at all.

Phase 3: Owned Answer Layer Buildout Strengthen the pages and content assets that AI systems retrieve when answering online doctor prompts, with clear, extractable positioning on what K Health is, who it serves, and why it belongs in the shortlist.

Phase 4: Citation / Authority Layer Development Build the third-party source footprint that AI systems cite in this category, including health information sites, comparison pages, and review sources that currently favor competing brands.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track K Health's coverage, top-three rate, rank-one rate, and average recommended rank month over month to confirm whether the presence-to-recommendation gap is closing.

Why This Matters

AI presence is not the same as AI recommendation. K Health appears in 7.4% of qualified online doctor answers, but it receives recommendation credit in only 5.3%, and it lands in the top three in fewer than one in a hundred answers. A buyer asking an AI assistant which online doctor to use is unlikely to see K Health named as the answer, even in the answers where the brand is mentioned.

The next move is not more visibility for its own sake. It is targeted correction of the prompt, page, and citation layers that determine whether K Health is named as a recommendation or listed as a reference. The benchmark shows where the brand stands. The work is in closing the gap between standing and being chosen.

Core Metrics

Sentiment Score

Questions This Section Answers

• Why is a mention count alone misleading for interpreting K Health's AI visibility?
• What does K Health's zero negative mentions actually tell us about its position?

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

For K Health in October 2026: (31 × 1 + 11 × 0 + 0 × -1) / 42 = 0.7381.

This score matters because unclassified mention counts are misleading. A brand that appears 42 times with 31 positive mentions and 11 neutral mentions is in a different position than a brand that appears 42 times with a mix of positive, neutral, and negative framing. K Health's score of 0.7381 means the brand is framed favorably or neutrally in every recorded mention, with no negative framing at all.

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. Counting all mentions as wins is bad measurement. K Health's 42 mentions include 30 valid recommendations and 12 mentions that are reference-only or neutral. Treating all 42 as equivalent would overstate the brand's position. Classified sentiment is required before interpreting AI visibility, and K Health's classified profile shows a brand that is framed well but recommended rarely.

Sentiment by Platform

Questions This Section Answers

• On which platforms is K Health's sentiment signal strong enough to trust?
• Which platforms show too few mentions for a reliable sentiment readout?

Methodology

1. This report is a benchmark-based analysis of K Health's AI recommendation visibility in the Online Doctors category for October 2026. It is not a client implementation case study and does not describe work performed by CiteWorks Studio on K Health's behalf.
2. The reporting window is October 2026, with month-over-month comparisons to September 2026 and baseline comparisons to July 2026 where the source data supports them.
3. Six AI search and assistant surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. All six were represented in the October 2026 qualified observation set.
4. The October 2026 benchmark began with 800 prompt-surface observations and produced 565 qualified observations after relevance and qualification filtering. Brand-level percentages use the 565 qualified observations as the public denominator.
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. Three public high-intent clusters were defined for the series: "Best Online Doctors & Top Telehealth Services" (consideration stage), "Online Doctor Comparisons & Alternatives" (evaluation stage), and "Online Doctor Pricing, Cost & Insurance" (decision stage). Only the consideration-stage cluster produced qualified observations in October 2026.
7. Stage 0 extraction retains the query, AI surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources. Source presence is evidence about the information environment and is not treated as proof that a source caused a recommendation.
8. A mention is recorded when a tracked brand appears anywhere in an AI response to a qualified prompt. A valid recommendation is recorded when the brand receives explicit recommendation credit, as distinct from a neutral reference, a comparison anchor, or a listed-only appearance.
9. Top-three rate is the share of qualified observations where the brand appears in the top three recommended options. Rank-one rate is the share of qualified observations where the brand is the first recommendation. Average recommended rank covers rank-eligible recommendations only.
10. Net sentiment is calculated as (positive mentions × 1 + neutral mentions × 0 + negative mentions × -1) divided by total mentions. It measures framing quality within the benchmark's recorded sentiment, not customer sentiment.
11. K Health's October 2026 metrics are drawn from the same 565-observation qualified set used for all tracked brands. Small-count brands, including K Health, should be read alongside their absolute counts, which are 42 mentions and 30 valid recommendations.
12. Limitations: the public benchmark does not measure market share, attributable sales, every possible AI response, organic-search ranking, social mention volume, private or sponsored channels, or causality from a metric movement alone. The pricing and value and multi-brand comparison clusters recorded zero qualified observations across the series, so K Health's performance on cost, insurance, and head-to-head comparison prompts is not measured in this report.

See How AI Is Recommending Your Brand

The public benchmark shows where K Health stands in AI-generated online doctor recommendations. A company-level AI visibility audit maps the specific prompts, surfaces, competitors, and citation sources that determine whether K Health is named as a recommendation or listed as a reference, and turns those patterns into a prioritized visibility plan.