Healthcare · Industry benchmark

Stage 0 · Framework live · benchmark pending

'Which CGM should I buy?' — AI answers with two brands. Is yours one of them?

CiteRank measures who AI engines recommend in medtech & devices — 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.

Get Your Free AI Visibility Audit See sample report Watch Interactive Demo

8 × 2

Engines × modes (grounded + ungrounded)

250

MedTech & Devices tracked prompts per run on Platform

Weekly

Re-runs · 95% confidence bands

Who AI recommends today

The medtech & devices leaderboard, measured.

Top-5 brand mention rate, first-mention rate and Share of Voice — straight from the CiteRank audit benchmark scoring tables, recomputed on a scheduled cadence.

Benchmark for MedTech & Devices 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

Abbott (FreeStyle Libre)

62%

31%

34%

02

Dexcom

48%

22%

24%

03

Medtronic

39%

14%

18%

04

Roche (Accu-Chek)

27%

14%

05

BeatO

18%

10%

Illustrative sample — benchmark not yet completed.

Sample prompt set

Real medtech & devices 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?

"best CGM device available in India"

—

—

—

—

—

—

—

—

Not yet

"Accu-Chek vs OneTouch for home glucose monitoring"

—

—

—

—

—

—

—

—

Not yet

"is {device} covered under insurance in India?"

—

—

—

—

—

—

—

—

Not yet

"BP monitor accuracy comparison home use 2026"

—

—

—

—

—

—

—

—

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

Patients increasingly use AI alongside traditional search and directories when researching healthcare options, 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 medtech & devices benchmark gets built.

01

Onboard

URL, competitors, prompt seed list. 5 minutes.

02

Audit

5–7 prompts × 8 engines × 2 modes, 10–30 replays each.

03

Fix

Schema, llms.txt, entity hygiene, content briefs — shipped.

04

Re-run

Weekly re-runs, deltas with 95% confidence bands.

Read the full sample report

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 medtech & devices prompts across 8 engines (4%).

After · 90 days

9 / 25

Cited in 3 of the same 7 prompts (42%) — schema, llms.txt and entity fixes shipped over 3 weekly re-runs.

Category Intelligence

MedTech & Devices Citation Intelligence

This section contains Verified Category Data observed during current MedTech & Devices monitoring runs. These patterns define how AI engines rank your competitors and why certain brands are cited over others.

Top Category Prompts

"best CGM device available in India"
"Accu-Chek vs OneTouch for home glucose monitoring"
"is {device} covered under insurance in India?"
"BP monitor accuracy comparison home use 2026"

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

MedTech & Devices 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.

Talk to the team

Insights

Coming in the MedTech & Devices visibility report.

Article · in the medtech & devices report

CGM prompts in India: who AI recommends and what it gets wrong

Notify me when published

Article · in the medtech & devices report

Winning spec-comparison prompts with extractable spec tables

Notify me when published

Article · in the medtech & devices report

India-specific device content vs US clinical content in citations

Notify me when published

FAQ

MedTech & Devices 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 medtech & devices 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.