Article · in the glp-1 & metabolic care report
Healthcare · Industry benchmark
Stage 0 · Framework live · benchmark pendingGLP-1 is the most-asked health topic of 2026. When patients ask AI where to start in India, who gets named?
CiteRank measures who AI engines recommend in glp-1 & metabolic care — across ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, Microsoft Copilot, xAI Grok and Meta AI, in both grounded and ungrounded modes — and fixes why it isn't you.
Vertical benches currently run 8 engines; full tracking covers all 8.
8 × 2
Engines × modes (grounded + ungrounded)
250
GLP-1 & Metabolic Care tracked prompts per run on Platform
Weekly
Re-runs · 95% confidence bands
Who AI recommends today
The glp-1 & metabolic care leaderboard, measured.
Top-5 brand mention rate, first-mention rate and Share of Voice — straight from the citerank-bench scoring tables, recomputed weekly.
Benchmark for GLP-1 & Metabolic Care runs with our first customer in this vertical. The leaderboard below is an illustrative sample built from the blueprint's brand registry — numbers are placeholders, not measurements.
#
Brand
Mention rate
First-mention
Share of Voice
01
Novo Nordisk (Wegovy/Ozempic)
62%
31%
34%
02
Eli Lilly (Mounjaro)
48%
22%
24%
03
Tata 1mg
39%
14%
18%
04
Apollo Clinics
27%
9%
14%
05
Practo-listed endocrinologists
18%
5%
10%
Illustrative sample — benchmark not yet completed.
Sample prompt set
Real glp-1 & metabolic care prompts, eight engines, one question: did you get cited? Gartner predicts a 25% shift from search to AI agents by 2026 (Gartner).
Buyer prompt
ChatGPT
Gemini
Claude
Perplexity
AI Overviews
Microsoft Copilot
xAI Grok
Meta AI
You cited?
"where can I get Wegovy in India and what does it cost?"
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Not yet
"GLP-1 clinics in Bengaluru with proper medical supervision"
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Not yet
"Mounjaro side effects long-term in Indian patients"
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Not yet
"diabetic-safe weight-loss pathway with endocrinologist follow-up"
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Not yet
Where the citations leak
Three failure modes specific to healthcare.
01
Same-3-clinics lock-in: AI defaults to a handful of names per city and topic.
02
Trust signals AI looks for (NABH, doctor entities, accreditations) are missing or unstructured on most sites.
03
AI-referred traffic in retail grew 393% year-on-year (Adobe, 2024), a trend now hitting healthcare discovery as patients ask for local clinic recommendations.
04
Patient-safety framing means a wrong AI answer is a real-world risk, not a ranking nuisance.
Methodology
How a glp-1 & metabolic care benchmark gets built.
01
Onboard
URL, competitors, prompt seed list. 5 minutes.
02
Audit
25 prompts × 8 engines × 2 modes, 10–20 replays each.
03
Fix
Schema, llms.txt, entity hygiene, content briefs — shipped.
04
Re-run
Weekly re-runs, deltas with 95% confidence bands.
Illustrative pattern
What a 90-day citation delta looks like.
Illustrative pattern based on our methodology — first customer results publish Q4 2026.
Before
1 / 25
Cited in 1 of 25 high-intent glp-1 & metabolic care prompts across 8 engines (4%).
After · 90 days
9 / 25
Cited in 9 of the same 25 prompts (36%) — schema, llms.txt and entity fixes shipped over 3 weekly re-runs.
Category Intelligence
GLP-1 & Metabolic Care Citation Intelligence
This section contains Verified Category Data observed during current GLP-1 & Metabolic Care monitoring runs. These patterns define how AI engines rank your competitors and why certain brands are cited over others.
Top Category Prompts
- "where can I get Wegovy in India and what does it cost?"
- "GLP-1 clinics in Bengaluru with proper medical supervision"
- "Mounjaro side effects long-term in Indian patients"
- "diabetic-safe weight-loss pathway with endocrinologist follow-up"
Engine Citation Skew
ChatGPTIncumbent brand bias
PerplexitySource-heavy grounding
AI OverviewsSnippet-friendly listicles
Dominant Source Domains
g2.comreddit.comtrustpilot.comforbes.com
Awaiting full benchmark for live domain weights.
Case study
GLP-1 & Metabolic Care case study publishes after the first 90-day window.
We don't ship anonymous success stories. Every case study card on this page becomes a real logo, real prompts and real deltas after the customer's 90-day window closes.
Insights
Coming in the GLP-1 & Metabolic Care visibility report.
Article · in the glp-1 & metabolic care report
Safe-pathway citations: how legitimate clinics displace grey-market answers
Notify me when publishedArticle · in the glp-1 & metabolic care report
Pricing volatility and AI: keeping engines current on GLP-1 costs
Notify me when publishedFAQ
GLP-1 & Metabolic Care questions, answered.
How is CiteRank different from Practo / 1mg listings?+
Those surfaces optimise for their own funnel. CiteRank measures how often ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, Microsoft Copilot, xAI Grok and Meta AI actually name your brand for glp-1 & metabolic care buyer prompts, then fixes the schema, entity and content gaps so the engines have something to cite besides the aggregator.
Which segments / cities do you cover for this vertical?+
We start with your highest-intent buyer prompts (250 tracked prompts on Platform, 500 on Platform + GEO) — segmented by city, persona and price band as relevant — and expand the prompt graph weekly. Coverage scope is set during the 5-minute onboarding.
How fast to first new citation?+
First measurable citation lift is typically 3–5 weeks after the first fix pass (schema, llms.txt, entity, content briefs). Re-runs are weekly with 95% confidence bands so you can attribute deltas to specific fixes.
Is our data sent to LLMs?+
Only the public buyer prompts we run on your behalf reach the engines — exactly what a prospective customer would type. We do not send your CRM, customer data, or internal documents to any LLM.
How to start
Start with one snapshot. Scale into weekly monitoring.
Snapshot Audit
One-time
25 prompts × 8 engines × 2 modes. Brand-mention report and gap analysis.
Monitor
Ongoing
Weekly re-runs, deltas with confidence bands, alerting on rank/citation changes.
Visibility + Fixes
Ongoing
Monitor + shipped fixes: schema, llms.txt, entity, content briefs and re-measurement.
Keep exploring