Propecia (Merck) AI Visibility Market Strategy Report - Hair Loss Treatments

Answer Capsule

Propecia (Merck) holds 22.35% valid recommendation coverage in the October 2026 Hair Loss Treatments benchmark, down 14.7 percentage points from 37.1% in July 2026, the third consecutive monthly decline and the largest drop of any tracked brand. The brand still appears in 45.64% of qualified AI answers, but that presence converts into a recommendation far less often than it did at baseline. The clearest weakness is recommendation conversion and raw mention presence, both falling together. The clearest opportunity sits in the single buyer-intent cluster the benchmark measures, where the brand is visible but increasingly not chosen.

Who This Report Is For

This report is written for Propecia (Merck) brand, marketing, and category leaders who need to understand how AI systems are recommending hair loss treatments and where the brand is losing recommendation-stage visibility.

Report Card

Executive Summary

Propecia (Merck) is visible in the Hair Loss Treatments category but is losing recommendation power. The brand recorded 241 mentions across 528 qualified observations in October 2026, a raw mention presence rate of 45.64%, down from 70.4% in July 2026. That is a 24.8 percentage point decline in how often the brand appears in AI answers at all.

The recommendation picture is weaker still. Valid recommendation coverage fell to 22.35% in October 2026 from 37.1% in July 2026, a 14.7 point drop the benchmark classifies as significant. The absolute count of valid recommendations fell from 212 to 118 over the same span. The brand declined in each of the three months since the July 2026 baseline.

Sentiment framing remains positive but has softened. Net sentiment fell to 0.6266 in October 2026 from 0.80 in July 2026. Of the 241 mentions recorded this month, 154 were positive, 84 were neutral, and 3 were negative. The brand is not being framed negatively at scale, but it is being referenced more often without being recommended.

The strongest cluster is the only cluster the public benchmark currently measures. All 528 qualified observations in October 2026 fell into the Brand Recommendation class, covering discovery and consideration of hair loss treatments. Propecia (Merck) holds a 17.61% top-three rate and a 7.01% rank-one rate within that cluster, both below the category leaders.

The strongest platform signal for the brand is Google AI Overviews, where it recorded a 39.4% valid recommendation coverage rate and a 30.9% top-three rate. The weakest platform signal is ChatGPT, where it recorded a single valid recommendation and an 8.3% coverage rate. Perplexity and Copilot also show thin recommendation conversion relative to the brand's presence on those surfaces.

The clearest gap is between presence and recommendation. Propecia (Merck) appears in 45.64% of qualified answers but is recommended in only 22.35% of them. Rogaine, by contrast, appears in 85.2% of answers and is recommended in 59.3%. The brand is being surfaced as context, comparison, or reference far more often than it is being surfaced as a recommended option.

What Propecia (Merck) Is Winning

Questions This Section Answers

• Where does Propecia (Merck) still hold its strongest AI recommendation signal?
• Is negative sentiment driving the brand's recommendation decline?

Propecia (Merck) holds a meaningful position on Google AI Overviews. The brand recorded 65 valid recommendations on that surface, a 39.4% coverage rate, and a 30.9% top-three rate. That is the strongest platform-level recommendation signal in the brand's October 2026 data.

The brand also retains a positive framing profile. Net sentiment stands at 0.6266, with 154 positive mentions against 3 negative mentions. Negative framing is not the driver of the coverage decline.

Rank-one placement on Google AI Overviews reached 10.9%, the highest rank-one rate the brand recorded on any platform this month. On ChatGPT, the brand recorded a rank-one rate of 8.3% and an average recommended rank of 1.0 when it was recommended at all.

These are narrow but real pockets. The brand is not absent from AI recommendations. It is being recommended less often, on fewer surfaces, and with less top-of-answer prominence than the category leaders.

Where Propecia (Merck) Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Why is Propecia (Merck) visible in AI answers but not recommended?
• Where does the brand fall short on top-three and rank-one placement versus the category leaders?
• Which platforms show the weakest recommendation conversion despite existing presence?

The clearest gap is recommendation conversion. Propecia (Merck) appears in 45.64% of qualified AI answers but converts only 22.35% of those observations into a valid recommendation. Rogaine converts 59.3% of qualified observations into recommendations, and Hims converts 53.4%. The brand is present in the answer layer but is not being chosen at the same rate.

The second gap is raw mention presence. Presence fell from 70.4% in July 2026 to 45.64% in October 2026, a 24.8 point decline the benchmark classifies as significant. The brand is appearing in fewer AI answers overall, not just being recommended less often within the answers where it appears.

The third gap is top-three placement. Propecia (Merck) holds a 17.61% top-three rate in October 2026, down from 19.6% in July 2026. Rogaine holds 51.14%, Hims holds 51.33%, and Nutrafol holds 36.74%. The brand is not competing for the top of the recommendation list at the same rate as the category leaders.

The fourth gap is rank-one placement. Propecia (Merck) holds a 7.01% rank-one rate, down from 7.4% at baseline. Rogaine holds 41.10%, Hims holds 20.64%, and Nutrafol holds 4.92%. The brand is rarely the single top recommendation in the answers where it appears.

The fifth gap is platform concentration. The brand's recommendation strength is concentrated on Google AI Overviews. On ChatGPT, it recorded 1 valid recommendation from 12 observations. On Perplexity, it recorded 5 valid recommendations from 43 observations. On Copilot, it recorded 10 valid recommendations from 75 observations. The brand is not converting presence into recommendations across the full platform set.

Competitor displacement is visible in the mid-tier. Ro rose to 18.2% coverage in October 2026 from a 0.0% July 2026 baseline, and Hims moved from 47.7% in September 2026 to 53.4% in October 2026. The benchmark does not attribute Propecia (Merck)'s lost recommendations to a specific competitor, but the category-level pattern shows recommendation credit shifting toward brands with stronger top-three and rank-one conversion.

Biggest Opportunity

Questions This Section Answers

• Where can Propecia (Merck) most realistically rebuild recommendation conversion?
• Which platform represents the clearest upside if the brand improves how it is described and cited?

The biggest opportunity is to rebuild recommendation conversion inside the Brand Recommendation cluster, the only buyer-intent class the public benchmark currently measures. Propecia (Merck) is already present in 45.64% of qualified answers. The gap is not visibility. The gap is being chosen once the brand appears.

The brand's strongest platform is Google AI Overviews, where it already holds a 39.4% coverage rate and a 30.9% top-three rate. That surface is the clearest starting point for a recommendation-readiness effort, because the brand is already being retrieved and referenced there.

The brand's weakest platform is ChatGPT, where it recorded 1 valid recommendation from 12 observations. That surface represents the clearest upside if the brand can improve how it is described, compared, and cited in the source layer that AI systems retrieve from.

The pricing and multi-brand comparison clusters are not yet measured in the public benchmark. No qualified observation landed in the Pricing & Value or Multi-Brand Comparison classes in any month of the series. That means the brand's pricing narrative is not yet part of the qualified recommendation set, even though pricing conflicts appear in the AI response inconsistency data covered later in this report.

Competitive Landscape

Questions This Section Answers

• How does Propecia (Merck) compare to Rogaine, Hims, and Nutrafol on top-three and rank-one rates?
• When Propecia (Merck) is recommended, how does its placement compare to the category leaders?

Rogaine, Hims, and Nutrafol hold the strongest recommendation-stage positions in the Hair Loss Treatments category. Propecia (Merck) sits in the middle of the tracked set, with recommendation coverage below the three leaders and above the smaller brands.

Average recommended rank covers rank-eligible recommendations only.

Propecia (Merck) ranks fifth of ten tracked brands on top-three rate and fifth on rank-one rate. Its average recommended rank of 2.22 is the third strongest in the set, behind Rogaine and Hims, which means that when the brand is recommended, it tends to land near the top of the list. The gap is not placement quality. The gap is how often the brand is recommended at all.

AI Response Inconsistency Alerts

Questions This Section Answers

• What factual inconsistency about Propecia (Merck) appears across AI platforms?
• Which sources are AI systems citing when they produce conflicting cost figures for brand-name Propecia?

Three high-severity factual inconsistencies were detected for Propecia (Merck) across three AI platforms: Gemini, Google AI Mode, and Google AI Overviews. All three conflicts concern the annual cost of brand-name Propecia, and all three were triggered by the same question: "How much does finasteride cost per year?"

The first conflict involves Google AI Mode and Google AI Overviews. When asked how much finasteride costs per year, Google AI Mode stated that brand-name Propecia runs $1,200 to $1,800 or more per year, or roughly $100 to $150 or more per month, citing pages from hims.com and goodrx.com. Google AI Overviews stated that the annual cost is approximately $1,900 or more per year, or roughly $160 per month, citing pages from costplusdrugs.com, healthline.com, and ro.co. The two ranges do not overlap.

The second conflict involves Gemini and Google AI Overviews. Gemini stated that brand-name Propecia runs $840 to $1,080 or more per year, or roughly $70 to $90 or more per month, citing a single source page from myhairline.ai. Google AI Overviews stated the annual cost is approximately $1,900 or more per year, citing costplusdrugs.com, healthline.com, and ro.co. The two ranges do not overlap, and the myhairline.ai page was flagged as a source on the Gemini side.

The third conflict involves Gemini and Google AI Mode. Gemini stated the $840 to $1,080 annual range, again citing myhairline.ai. Google AI Mode stated the $1,200 to $1,800 annual range, citing hims.com and goodrx.com. The two ranges do not overlap, and the myhairline.ai page was again flagged as a source on the Gemini side.

These conflicts matter because pricing questions sit outside the qualified recommendation set the benchmark currently measures. The public benchmark recorded zero qualified observations in the Pricing & Value class in any month of the series. That means the pricing narrative AI systems are producing about Propecia (Merck) is not yet part of the recommendation coverage percentages, but it is part of the answer layer buyers may encounter when they ask about cost.

Prompt Evidence

Google AI Overviews / Brand Recommendation Prompt: "What is the best company for hair?" Result: Propecia (Merck) appeared in the answer and received recommendation credit, contributing to the brand's strongest platform-level coverage rate of 39.4%.

ChatGPT / Brand Recommendation Prompt: "What is the most effective hair growth serum?" Result: Propecia (Merck) recorded a single valid recommendation from 12 observations on ChatGPT, an 8.3% coverage rate and the brand's weakest platform-level recommendation signal.

Gemini / Brand Recommendation Prompt: "Which tablet is good for hair fall?" Result: Propecia (Merck) appeared in the answer with a 13.2% coverage rate and a 7.9% rank-one rate on Gemini, a mid-tier platform result for the brand.

Perplexity / Brand Recommendation Prompt: "What vitamins help with hair fall?" Result: Propecia (Merck) recorded 5 valid recommendations from 43 observations on Perplexity, an 11.6% coverage rate, with all 6 mentions framed positively.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit. Map the exact prompts, platforms, and competitor answers where Propecia (Merck) appears without being recommended, and identify which sources AI systems are retrieving when they describe the brand.

Phase 2: Recommendation Readiness Plan. Prioritize the Brand Recommendation cluster and the Google AI Overviews surface, where the brand already holds its strongest recommendation position, and define the specific answer patterns the brand needs to win.

Phase 3: Owned Answer Layer Buildout. Strengthen the brand's owned pages so that the descriptions, comparisons, and category context AI systems retrieve are accurate, current, and recommendation-ready.

Phase 4: Citation / Authority Layer Development. Address the source-layer inconsistencies behind the pricing conflicts, and build a citation footprint that supports the brand's recommendation case across ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.

Phase 5: Monthly AI Visibility and Recommendation Tracking. Track coverage, top-three rate, rank-one rate, and sentiment by platform and cluster so the brand can see whether recommendation conversion is recovering month over month.

Why This Matters

AI presence alone is not enough. Propecia (Merck) appears in 45.64% of qualified AI answers but is recommended in only 22.35% of them. A buyer asking an AI system for the best hair loss treatment may see the brand mentioned as context, comparison, or reference without seeing it recommended as an option. That is a different problem from being absent, and it requires a different fix.

The next move is targeted correction of the prompt, page, and citation layers. The brand needs to be recommended more often inside the answers where it already appears, on the platforms where it is already being retrieved, and with source support that resolves the pricing inconsistencies AI systems are currently producing. Recommendation-stage visibility is where buyer shortlists are formed, and that is where the brand's clearest gap sits.

Core Metrics

Sentiment Score

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

For Propecia (Merck) in October 2026: (154 × 1 + 84 × 0 + 3 × -1) / 241 = 151 / 241 = 0.6266.

This matters because unclassified mention counts are misleading. A brand with 241 mentions sounds strong until the mentions are separated into positive recommendations, neutral references, and cautionary or displaced mentions. Propecia (Merck) has 154 positive mentions, 84 neutral mentions, and 3 negative mentions. The neutral block is large relative to the positive block, which means a meaningful share of the brand's AI presence is reference without endorsement.

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. Classified sentiment is required before interpreting AI visibility, because the difference between being mentioned and being recommended is the difference between appearing in the answer and appearing on the buyer shortlist.

Sentiment by Platform

Questions This Section Answers

• Which AI platform shows the strongest positive recommendation signal for Propecia (Merck)?
• Where is the brand present but not recommendation-led?

Methodology

1. This report is a benchmark-based AI Visibility Company Market Strategy Report for Propecia (Merck) in the Hair Loss Treatments category, produced from the LLM Authority Index AI Visibility Market Discovery Index and supporting metrics aggregation for October 2026.
2. The reporting month is October 2026, with baseline comparisons drawn from July 2026 and intermediate comparisons from August 2026 and September 2026.
3. Six AI and search surfaces were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.
4. The October 2026 benchmark produced 528 qualified observations from 800 source prompt-surface observations, after 698 relevant and 102 irrelevant prompts were separated.
5. Ten brands were tracked in the competitor universe: Bosley, Folexin, HairClub, Happy Head, Hims, Keeps, Nutrafol, Propecia (Merck), Ro, and Rogaine.
6. One public high-intent cluster was measured in October 2026: Best Hair Loss Treatments & Top Solutions, covering discovery and consideration intent. The Pricing & Value and Multi-Brand Comparison clusters returned no qualified observations in any month of the series.
7. Stage 0 extraction supplied the prompt-level observations, brand outcomes, recommendation placement, sentiment classification, and citation or attributable evidence sources where exposed.
8. A mention is counted when Propecia (Merck) appears in a qualified AI answer, whether or not the brand is recommended.
9. A valid recommendation is counted when the brand appears in a recommendation that meets benchmark criteria, with rank-eligible recommendations receiving placement credit.
10. Raw mention presence, valid recommendation coverage, top-three rate, rank-one rate, average recommended rank, and net sentiment are reported as separate metrics and are not collapsed into a single visibility score.
11. The Ro and Ro (Roman) entries are tracked as separate labels across the series. The Ro label carries the position from September 2026 onward while the prior alias shows zero, which is best read as one commercial entity under a changed name.
12. Month-over-month movement identifies changes worth investigating. It does not by itself establish what caused those changes. A brand gaining or losing recommendation credit is a benchmark movement, not a result attributable to any single factor.

See Where AI Is Recommending Your Brand

The public benchmark shows where Propecia (Merck) stands in AI-generated hair loss treatment recommendations. A company-level AI visibility audit maps the exact prompts, platforms, competitor answers, and source patterns behind that position, and turns them into a prioritized recommendation-readiness plan.