K Health AI Visibility Market Strategy Report - ED Treatment Pills

Answer Capsule

K Health holds 2.4% valid recommendation coverage in the October 2026 ED Treatment Pills benchmark, ranking 10th of 10 tracked brands. The company appears in AI answers but is almost never chosen: its raw mention presence rate is 3.0% while its top-three recommendation rate is 0.7% and its rank-one rate is 0.0%. The clearest win is framing quality, where K Health records a 0.7778 net sentiment score, the third-highest among tracked brands. The clearest weakness is recommendation conversion, and the clearest opportunity is the brand recommendation cluster, which carries 100% of the qualified observation base.

Who This Report Is For

This report is written for K Health's marketing, growth, and clinical leadership teams, and for anyone responsible for how the brand is described, compared, and shortlisted when patients ask AI systems which ED treatment option to choose.

Report Card

Executive Summary

Questions This Section Answers

• How does K Health rank overall in the October 2026 ED Treatment Pills AI benchmark?
• Why is K Health's framing quality considered its strongest signal despite ranking last on recommendations?
• Which clusters and platforms carried K Health's October observations?

K Health is visible but under-recommended in the October 2026 ED Treatment Pills benchmark. The brand recorded 9 mentions across 296 qualified observations, a 3.0% raw mention presence rate, and converted 7 of those into valid recommendations, a 2.4% valid recommendation coverage rate. That places K Health 10th of 10 tracked brands on the benchmark's primary metric.

The gap between being named and being chosen is the defining feature of this readout. K Health's top-three recommendation rate is 0.7%, meaning the brand appears in a top-three shortlist in roughly 2 of 296 qualified observations. Its rank-one rate is 0.0%, meaning it was never the single first recommended option in the October measurement. A brand that is mentioned but never placed first is present in the answer layer without participating in the decision layer.

Framing quality is the strongest signal in the packet. K Health's net sentiment score is 0.7778, behind only Lemonaid Health (0.9074) and GoodRx Care (0.8357) among tracked brands, and ahead of Hims (0.8029) and Ro (0.8074) on a smaller base. Of the 9 mentions, 7 were positive and 2 were neutral, with zero negative mentions recorded. When K Health does surface, AI systems describe it favorably.

The strongest cluster is also the only cluster with data. All 296 qualified observations fell into the brand recommendation class, covering discovery and consideration prompts where a specific treatment provider is sought. The pricing and value and multi-brand comparison classes recorded zero qualified observations in October, so this benchmark cannot yet speak to how K Health performs on cost or head-to-head prompts.

Platform behavior is narrow and uneven. K Health's largest signal comes from Copilot, where it recorded 6 mentions, 5 valid recommendations, and a 19.2% valid recommendation coverage rate across 26 platform observations. Gemini contributed 1 mention and 1 valid recommendation. AI Mode contributed 1 mention and 1 valid recommendation. Perplexity recorded 1 mention with zero valid recommendations. ChatGPT and AI Overviews recorded no K Health presence at all in October.

The clearest gap is scale rather than quality. K Health's average recommended rank of 4.5714 is the weakest among tracked brands, and its 7 valid recommendations compare with 180 for Hims, 163 for Ro, and 151 for GoodRx Care. The brand is not being framed poorly; it is being framed rarely, and when it appears it lands deep in the list.

The benchmark also flags a small-count caveat that applies directly here. With 7 valid recommendations and 2 top-three placements, individual observations carry outsized weight in K Health's percentages, so month-to-month movement should be read with caution until the qualified base grows.

What K Health Is Winning

Questions This Section Answers

• Which metrics show K Health's framing quality as a genuine strength?
• Where is K Health actually converting mentions into recommendations?

Framing quality is the clearest evidence-backed win. K Health's 0.7778 net sentiment score places it third among the 10 tracked brands, and the brand recorded zero negative mentions across the October observation set. In a category where Optum's net sentiment fell to 0.2308 and BlueChew recorded the only negative mention in the tracked set, K Health's framing profile is clean.

The brand also shows a narrow but real recommendation pocket on Copilot. Across 26 Copilot observations, K Health recorded 6 mentions, 5 valid recommendations, and a 19.2% valid recommendation coverage rate, the highest platform-level coverage rate in its own packet. Copilot is the only platform where K Health converts mentions into recommendations at a meaningful rate.

There is no evidence in this dataset that K Health holds a cluster lead, a platform lead, or a rank-one position. The wins here are framing quality and one platform pocket, and they should be described as exactly that.

Where K Health Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Why does K Health rank last in valid recommendation coverage despite being mentioned?
• Which platforms and prompt surfaces are missing K Health entirely?
• How deep does K Health place when it does earn a recommendation?

The primary gap is recommendation conversion at scale. K Health's 3.0% raw mention presence rate and 2.4% valid recommendation coverage rate sit at the bottom of the tracked set, alongside Optum at 4.4% presence and 0.7% coverage. The difference between K Health and the leaders is not framing but frequency: Hims appears in 92.6% of qualified observations and Ro in 82.4%, while K Health appears in 3.0%.

The second gap is first-position absence. K Health recorded zero rank-one recommendations in October, compared with 84 for Hims, 47 for GoodRx Care, and 29 for Ro. Even Rex MD, which declined significantly from its July baseline, recorded 6 first-position placements from a base of 26 valid recommendations. K Health's 0.0% rank-one rate means the brand is not currently part of the default answer for any measured prompt.

The third gap is platform coverage. ChatGPT and AI Overviews recorded no K Health presence in October. AI Overviews alone carried 118 qualified observations in the month and is the single largest platform surface in the dataset, with Hims recording a 73.7% valid recommendation coverage rate there and GoodRx Care 67.0%. K Health's absence from that surface removes it from a substantial share of the measured answer layer.

The fourth gap is placement depth. K Health's average recommended rank of 4.5714 is the weakest among tracked brands, behind Optum at 2.0, Rex MD at 2.5769, and BlueChew at 2.8649. When K Health does earn a recommendation, it lands near the bottom of the list rather than near the top.

Competitor displacement is visible in the cluster winner data. Hims is the cluster winner for K Health's benchmark cluster, holding 48.6% top-three rate and 28.4% rank-one rate against K Health's 0.7% and 0.0%. GoodRx Care, Ro, and Lemonaid Health all hold materially stronger positions in the same cluster.

Biggest Opportunity

Questions This Section Answers

• Which platforms and prompt clusters offer K Health the most realistic path to a top-three placement?
• What specific discovery and evaluation prompts is K Health already positioned to win?

The clearest path from reference to recommendation for K Health runs through the brand recommendation cluster on Copilot and Gemini. Copilot is the only platform where K Health already converts mentions into recommendations at a meaningful rate, and Gemini recorded a 100% net sentiment score on its single K Health mention. Both surfaces are small in absolute terms, which means the brand is not defending an entrenched position; it is building one.

The specific opportunity is to move K Health from a named option into a top-three shortlist position on the prompts where it already appears. The benchmark's cluster prompt examples include discovery and evaluation questions such as "Which online doctors are legit?", "What's the best online prescription?", and "telehealth companies". These are prompts where a brand with strong framing quality and no negative mentions can plausibly earn shortlist placement if the supporting evidence layer is built out.

Competitive Landscape

Questions This Section Answers

• How does K Health's recommendation performance compare with Hims, Ro, and GoodRx Care?
• What separates K Health's position from Optum's at the bottom of the tracked set?

Hims and Ro hold recommendation-stage strength in the ED Treatment Pills category, with GoodRx Care closing on both after a significant October advance. K Health sits at the bottom of the tracked set on recommendation-stage metrics while holding above-average framing quality.

Average recommended rank covers rank-eligible recommendations only.

K Health's row shows a brand with clean framing and almost no shortlist participation. Its 0.68% top-three rate is the second-lowest in the tracked set, ahead of only Optum, and its 4.5714 average recommended rank is the deepest placement of any tracked brand. The sentiment column is where K Health separates from Optum: both brands sit at the bottom on recommendation metrics, but K Health's 0.7778 framing score is more than three times Optum's 0.2308.

Prompt Evidence

Copilot / Brand Recommendation Prompt: "What is the best generic Viagra?" Result: K Health appeared in the Copilot response set with positive framing, contributing to the platform's 19.2% valid recommendation coverage rate for the brand.

Gemini / Brand Recommendation Prompt: "ed meds online" Result: K Health recorded a single Gemini mention with a 100% net sentiment score and one valid recommendation, the brand's only Gemini placement in October.

Perplexity / Brand Recommendation Prompt: "telehealth companies" Result: K Health was mentioned once on Perplexity with neutral framing and no valid recommendation credit, illustrating the presence-without-recommendation pattern.

AI Overviews / Brand Recommendation Prompt: "how to get viagra" Result: No K Health presence was recorded on AI Overviews in October, a surface that carried 118 qualified observations and where Hims and GoodRx Care both recorded coverage above 67%.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map every prompt where K Health currently appears, the exact placement it earns, and which competitor takes the recommendation when K Health is named but not shortlisted.

Phase 2: Recommendation Readiness Plan Prioritize the Copilot and Gemini pockets where K Health already converts, and define the specific prompt themes where a top-three placement is realistically winnable.

Phase 3: Owned Answer Layer Buildout Strengthen the K Health pages that answer discovery and evaluation questions directly, so AI systems have a clear, retrievable source for what the brand treats, how it works, and who it serves.

Phase 4: Citation / Authority Layer Development Build the third-party and publisher evidence that AI systems currently draw on for this category, where general health publishers and brand-owned domains together shape the source environment.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track K Health's mention presence, valid recommendation coverage, top-three rate, rank-one rate, and framing quality month over month, with the small-count caveat applied until the qualified base grows.

Why This Matters

Questions This Section Answers

• How has the share of recommendation-shaped AI answers changed in the ED Treatment Pills category?
• Why is K Health's position described as fixable despite its last-place ranking?

AI systems in this category are producing shortlists, not just descriptions. Recommendation-shaped answers rose to 58.8% of qualified observations in October from 38.2% in July, and valid recommendation shortlist share rose to 67.9% from 56.9%. A brand that is named but never shortlisted is competing in a smaller and smaller share of the answer layer.

K Health's position is fixable precisely because the framing is already clean. The brand has no negative mentions, a 0.7778 net sentiment score, and a working conversion pocket on Copilot. The next move is targeted correction of the prompt, page, and citation layers that determine whether K Health appears at all, and whether it appears near the top of the list when it does.

Core Metrics

Sentiment Score

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

For K Health in October 2026: (7 × 1 + 2 × 0 + 0 × -1) / 9 = 0.7778.

This matters because unclassified mention counts are misleading. A brand with 9 mentions could be described as having a small but positive footprint, or as having almost no footprint at all, depending on whether those mentions are recommendations, neutral references, or cautionary notes. K Health's 9 mentions break down as 7 positive and 2 neutral, with no negative framing, which is a materially different signal than a brand with the same mention count split across cautionary contexts.

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 in commercial terms, and counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because it separates a brand that is being recommended from a brand that is merely being listed.

Sentiment by Platform

Methodology

1. This report is a benchmark-based analysis of K Health's position in the October 2026 ED Treatment Pills AI Market Discovery Index, produced by LLM Authority Index and interpreted by CiteWorks Studio. It is not a client implementation result.
2. The reporting month is October 2026, with July 2026 as the series baseline where historical comparison is referenced.
3. Six AI/search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. All six registered qualified observations in October.
4. Each monthly run begins with 800 prompt-surface observations. In October, those 800 prompts carried 658 unique questions, all 800 mentioned a tracked brand or competitor, 547 were relevant, and 253 were irrelevant, yielding 296 qualified observations.
5. The competitor universe contains 10 tracked brands: Hims, Ro, GoodRx Care, Lemonaid Health, PlushCare, BlueChew, Rex MD, Blink Health, K Health, and Optum.
6. Three public high-intent clusters are defined for this vertical: Brand Recommendation (Discovery & Evaluation), Multi-Brand Comparison (Brand & Drug Matchups), and Pricing & Value (Cost & Affordability). Only the Brand Recommendation cluster carried qualified observations in October.
7. A mention is counted when K Health is named in a qualified AI response, regardless of recommendation status. A valid recommendation is counted only when the dataset explicitly marks the mention as a valid recommendation with rank eligibility.
8. Top-three rate, rank-one rate, and average recommended rank are calculated against the 296 qualified observations. Average recommended rank covers rank-eligible recommendations only.
9. Net sentiment score is calculated as (positive × 1 + neutral × 0 + negative × -1) / total mentions, on a scale from -1 to 1.
10. K Health's October qualified base is small: 9 mentions, 7 valid recommendations, and 2 top-three placements. Percentage movements on this base carry limited weight and should be read with that caveat.
11. The benchmark records change; it does not establish why change occurred. Source presence in AI responses is evidence about the information environment and is not automatically proof that a source caused a recommendation.
12. This public benchmark does not measure market share, sales, revenue attribution, organic-search ranking performance, social media sentiment, or private and gated channels.

See Where K Health Stands in AI Recommendations

The public benchmark shows where K Health appears and where it does not. A company-level AI visibility audit maps the specific prompts, platforms, competitor displacements, and evidence sources behind those numbers, and turns the question of where K Health ranks into a prioritized plan for which prompts to win next.