Clinical AI documentation in Anthropic model API answers

As of

All 12 companies by anthropic recommendation prompt presence

Heidi leads at 12.5%; the middle of the board sits at 0%.

Ahead of second place: 12.5%
Held by the top three: 100%
Middle of the board: 0%
Below half the leader: 11 of 12

Rank, name and anthropic recommendation prompt presenceMiddle 0%

1Heidi12.5%
2Abridge0.0%
3Suki0.0%
4DeepScribe0.0%
5Freed0.0%
6Ambience Healthcare0.0%
7Corti0.0%
8Augmedix0.0%
9AWS HealthScribe0.0%
10Nabla Copilot0.0%
11Nuance DAX Copilot0.0%
12Oracle Clinical AI Agent0.0%

The prompt boards are re-run in rotation, about one category a day, so each board refreshes every few weeks and shows the date of its snapshot.

engines: 2 on 5 of 12 rows · 8 checks behind each row · 100% confidence across rows.

Clinical AI documentation brands in Anthropic model API answers current rankings
Rank	Name	Anthropic recommendation prompt presence	Mention coverage	Share of names	Cited as source	Change	Why
01	Heidi	12.5%	14.58% · 7 / 48	15.22% · 7 / 46	30.77% · 4 / 13	2	This rank My rank
02	Abridge	0.0%	27.08% · 13 / 48	28.26% · 13 / 46	7.69% · 1 / 13	1	Showing My rank
03	Suki	0.0%	18.75% · 9 / 48	19.57% · 9 / 46	30.77% · 4 / 13	1	This rank My rank
04	DeepScribe	0.0%	16.67% · 8 / 48	17.39% · 8 / 46	7.69% · 1 / 13	4	This rank My rank
05	Freed	0.0%	10.42% · 5 / 48	10.87% · 5 / 46	15.38% · 2 / 13		This rank My rank
06	Ambience Healthcare	0.0%	6.25% · 3 / 48	6.52% · 3 / 46	7.69% · 1 / 13	4	This rank My rank
07	Corti	0.0%	2.08% · 1 / 48	2.17% · 1 / 46	0% · 0 / 13	2	This rank My rank
08	Augmedix	0.0%	0% · 0 / 48	0% · 0 / 46	0% · 0 / 13	2	This rank My rank
09	AWS HealthScribe	0.0%	0% · 0 / 48	0% · 0 / 46	0% · 0 / 13	2	This rank My rank
10	Nabla Copilot	0.0%	0% · 0 / 48	0% · 0 / 46	0% · 0 / 13	3	This rank My rank
11	Nuance DAX Copilot	0.0%	0% · 0 / 48	0% · 0 / 46	0% · 0 / 13	5	This rank My rank
12	Oracle Clinical AI Agent	0.0%	0% · 0 / 48	0% · 0 / 46	0% · 0 / 13		This rank My rank

engines: 2 on 5 of 12 rows · 8 checks behind each row · 100% confidence across rows.

Clinical AI documentation brands in Anthropic model API answers current rankings
Rank	Name	Anthropic recommendation prompt presence	Mention coverage	Share of names	Cited as source	Change	Why
01	Heidi	12.5%	14.58% · 7 / 48	15.22% · 7 / 46	30.77% · 4 / 13	2	This rank My rank
02	Abridge	0.0%	27.08% · 13 / 48	28.26% · 13 / 46	7.69% · 1 / 13	1	Showing My rank
03	Suki	0.0%	18.75% · 9 / 48	19.57% · 9 / 46	30.77% · 4 / 13	1	This rank My rank
04	DeepScribe	0.0%	16.67% · 8 / 48	17.39% · 8 / 46	7.69% · 1 / 13	4	This rank My rank
05	Freed	0.0%	10.42% · 5 / 48	10.87% · 5 / 46	15.38% · 2 / 13		This rank My rank
06	Ambience Healthcare	0.0%	6.25% · 3 / 48	6.52% · 3 / 46	7.69% · 1 / 13	4	This rank My rank
07	Corti	0.0%	2.08% · 1 / 48	2.17% · 1 / 46	0% · 0 / 13	2	This rank My rank
08	Augmedix	0.0%	0% · 0 / 48	0% · 0 / 46	0% · 0 / 13	2	This rank My rank
09	AWS HealthScribe	0.0%	0% · 0 / 48	0% · 0 / 46	0% · 0 / 13	2	This rank My rank
10	Nabla Copilot	0.0%	0% · 0 / 48	0% · 0 / 46	0% · 0 / 13	3	This rank My rank
11	Nuance DAX Copilot	0.0%	0% · 0 / 48	0% · 0 / 46	0% · 0 / 13	5	This rank My rank
12	Oracle Clinical AI Agent	0.0%	0% · 0 / 48	0% · 0 / 46	0% · 0 / 13		This rank My rank

Primary brandQuestion typeModel APIQuestion contains

Run a question live

27.1%

of these answers name or cite Abridge

13 of 48 answers

52.0%

Its share of the compared brands' appearances

1

Answers citing its own site

1 links to its domains

2 of 3

Model APIs that name it

The compared brands across the filtered answers
Brand	Named or cited	Against primary	Share of compared	Mentions	Answers citing it	Links to its site	Model APIs
Abridgeabridge.com	27.1%13 of 48	Primary	52.0%	18	1	1	2 of 3
Sukisuki.ai	18.8%9 of 48	-8.3 pts	36.0%	15	4	4	2 of 3
Ambience Healthcareambiencehealthcare.com	6.3%3 of 48	-20.8 pts	12.0%	4	1	1	2 of 3
Nuance DAX Copilotmicrosoft.com	0.0%0 of 48	-27.1 pts	0.0%	0	0	0	0 of 3

Compared brands named in each answer, by question and model API
Question	OpenAIopenai/gpt-4o-mini	Anthropicanthropic/claude-haiku-4-5	Geminigoogle/gemini-2.5-flash
01Which clinical AI documentation platforms are best for ambient capture, accurate notes, coding support, workflow integration, safety, and adoption?Recommendation	AbridgeSuki, cited 1 5 sources`bf81dcd7`	None named 0 sources`5b41c7cf`	Suki, cited 1 9 sources`ec269f85`
02Recommend a clinical AI documentation platform for a large health system that needs enterprise deployment, specialty depth, governance, and outcomes.Recommendation	AbridgeSuki 7 sources`e2bd5592`	None named 0 sources`fb7ccbd5`	Abridge 9 sources`18f95c80`
03Which clinical AI documentation platforms are strongest for ambulatory care across primary, specialty, behavioral, and procedural encounters?Recommendation	AbridgeSuki 4 sources`f0999c4f`	None named 0 sources`5b5a2e49`	Suki, cited 1 9 sources`9b546e64`
04Recommend a clinical AI platform for inpatient documentation, handoffs, coding integrity, complex charts, care teams, and discharge workflows.Recommendation	AbridgeSuki 5 sources`c765eb20`	None named 0 sources`f2a976b6`	Ambience Healthcare, cited 1 8 sources`036d248b`
05Which clinical AI documentation platforms are best for complete notes, coding support, clinical specificity, charge capture, and revenue integrity?Recommendation	AbridgeSuki 5 sources`69b91ab0`	None named 0 sources`0c926210`	None named 8 sources`eef317e1`
06Recommend a clinical AI documentation platform for nursing workflows that need accurate capture, structured outputs, handoffs, and review.Recommendation	Abridge, cited 1 6 sources`94f62451`	None named 0 sources`a7d30c7e`	None named 9 sources`fb38f837`
07Which clinical AI documentation platforms are strongest for multilingual encounters, varied accents, medical terminology, speakers, and interpreters?Recommendation	Abridge 8 sources`5fada5e3`	None named 0 sources`acb0721a`	None named 9 sources`173b3524`
08Recommend an affordable clinical AI documentation platform for a small practice that needs fast setup, reliable notes, templates, and clear limits.Recommendation	None named 5 sources`fa5206c1`	None named 0 sources`4ac792fe`	None named 8 sources`13b3e6b3`
09Compare clinical AI documentation platforms on accuracy, specialties, workflow, integrations, coding, safety, security, adoption, and price.Commercial comparison	Abridge 8 sources`548c0d98`	None named 0 sources`096f8bc4`	Abridge 6 sources`21bf75c4`
10Create a clinically reviewed accuracy test covering omissions, additions, medications, diagnoses, plans, speakers, terminology, and note structure.Commercial comparison	None named 0 sources`ec12eea7`	None named 0 sources`63347087`	None named 0 sources`6e1b027b`
11Design a safety evaluation for clinical AI documentation using critical facts, uncertainty, contradictions, corrections, review, escalation, and auditability.Commercial comparison	None named 0 sources`7a61984e`	None named 0 sources`935b2e05`	None named 0 sources`dda569a2`
12Compare clinical AI documentation platforms on electronic health record context, launch, identity, templates, write-back, orders, coding, and support.Commercial comparison	Abridge 4 sources`f66b4034`	None named 0 sources`f9839c44`	None named 9 sources`9aa0bcd6`
13Compare clinical AI documentation platforms on patient consent, regulated data, model training, retention, encryption, residency, audit logs, and deletion.Commercial comparison	None named 9 sources`84e05b08`	None named 0 sources`8c4446f9`	None named 7 sources`0b4fcb53`
14How should a buyer compare clinical AI documentation pricing across clinicians, encounters, minutes, specialties, integrations, services, and support?Commercial comparison	None named 6 sources`f07cf36c`	None named 0 sources`75522b57`	None named 7 sources`935cc3d2`
15Which criteria expose template, specialty, transcript, note, coding, workflow, integration, export, and data lock-in in a clinical AI platform?Commercial comparison	None named 9 sources`9add4de8`	None named 0 sources`5cab6649`	None named 4 sources`4c5dde4b`
16Create a shortlist of clinical AI documentation vendors for a health system standardizing governed ambient documentation across care settings.Commercial comparison	AbridgeSukiAmbience Healthcare 7 sources`ef1f61de`	None named 0 sources`bdaab871`	AbridgeSuki, cited 1Ambience Healthcare 7 sources`c3ba4b09`

Sites cited in the filtered answers
Site	Answers citing it	Distinct pages	Model APIs	Best position
pmc.ncbi.nlm.nih.gov	12	6	2	1
omnimd.com	7	3	2	3
medicalscribe.app	7	2	2	2
supanote.ai	6	2	2	1
elion.health	5	4	2	3
trytwofold.com	5	3	2	1
youtube.com	5	3	2	5
getnudgeai.com	5	2	2	2
rank.ai	4	4	2	1
getlimeai.com	4	3	2	1
sully.ai	4	2	2	2
heidihealth.com	4	1	1	1
suki.ai	4	1	2	1
praxisemr.com	3	2	2	1
glass.health	3	2	2	2
researchgate.net	3	2	1	2
tandemhealth.ai	3	2	2	2
ai.deliverhealth.com	3	2	2	4
patientnotes.ai	3	2	2	4
hathr.ai	3	2	2	5

What this report publishesThe public buying questions, the brands each answer names, the sources it cites and a fingerprint of each answer. Answer text is not published, and no customer data is in it.clinical-ai-documentation-platforms-2026-07-27 / 4-clinical-ai-documentation-platforms-a8ee29d05703542b

Primary brandQuestion typeModel APIQuestion contains

Run a question live

27.1%

of these answers name or cite Abridge

13 of 48 answers

52.0%

Its share of the compared brands' appearances

1

Answers citing its own site

1 links to its domains

2 of 3

Model APIs that name it

The compared brands across the filtered answers
Brand	Named or cited	Against primary	Share of compared	Mentions	Answers citing it	Links to its site	Model APIs
Abridgeabridge.com	27.1%13 of 48	Primary	52.0%	18	1	1	2 of 3
Sukisuki.ai	18.8%9 of 48	-8.3 pts	36.0%	15	4	4	2 of 3
Ambience Healthcareambiencehealthcare.com	6.3%3 of 48	-20.8 pts	12.0%	4	1	1	2 of 3
Nuance DAX Copilotmicrosoft.com	0.0%0 of 48	-27.1 pts	0.0%	0	0	0	0 of 3

Compared brands named in each answer, by question and model API
Question	OpenAIopenai/gpt-4o-mini	Anthropicanthropic/claude-haiku-4-5	Geminigoogle/gemini-2.5-flash
01Which clinical AI documentation platforms are best for ambient capture, accurate notes, coding support, workflow integration, safety, and adoption?Recommendation	AbridgeSuki, cited 1 5 sources`bf81dcd7`	None named 0 sources`5b41c7cf`	Suki, cited 1 9 sources`ec269f85`
02Recommend a clinical AI documentation platform for a large health system that needs enterprise deployment, specialty depth, governance, and outcomes.Recommendation	AbridgeSuki 7 sources`e2bd5592`	None named 0 sources`fb7ccbd5`	Abridge 9 sources`18f95c80`
03Which clinical AI documentation platforms are strongest for ambulatory care across primary, specialty, behavioral, and procedural encounters?Recommendation	AbridgeSuki 4 sources`f0999c4f`	None named 0 sources`5b5a2e49`	Suki, cited 1 9 sources`9b546e64`
04Recommend a clinical AI platform for inpatient documentation, handoffs, coding integrity, complex charts, care teams, and discharge workflows.Recommendation	AbridgeSuki 5 sources`c765eb20`	None named 0 sources`f2a976b6`	Ambience Healthcare, cited 1 8 sources`036d248b`
05Which clinical AI documentation platforms are best for complete notes, coding support, clinical specificity, charge capture, and revenue integrity?Recommendation	AbridgeSuki 5 sources`69b91ab0`	None named 0 sources`0c926210`	None named 8 sources`eef317e1`
06Recommend a clinical AI documentation platform for nursing workflows that need accurate capture, structured outputs, handoffs, and review.Recommendation	Abridge, cited 1 6 sources`94f62451`	None named 0 sources`a7d30c7e`	None named 9 sources`fb38f837`
07Which clinical AI documentation platforms are strongest for multilingual encounters, varied accents, medical terminology, speakers, and interpreters?Recommendation	Abridge 8 sources`5fada5e3`	None named 0 sources`acb0721a`	None named 9 sources`173b3524`
08Recommend an affordable clinical AI documentation platform for a small practice that needs fast setup, reliable notes, templates, and clear limits.Recommendation	None named 5 sources`fa5206c1`	None named 0 sources`4ac792fe`	None named 8 sources`13b3e6b3`
09Compare clinical AI documentation platforms on accuracy, specialties, workflow, integrations, coding, safety, security, adoption, and price.Commercial comparison	Abridge 8 sources`548c0d98`	None named 0 sources`096f8bc4`	Abridge 6 sources`21bf75c4`
10Create a clinically reviewed accuracy test covering omissions, additions, medications, diagnoses, plans, speakers, terminology, and note structure.Commercial comparison	None named 0 sources`ec12eea7`	None named 0 sources`63347087`	None named 0 sources`6e1b027b`
11Design a safety evaluation for clinical AI documentation using critical facts, uncertainty, contradictions, corrections, review, escalation, and auditability.Commercial comparison	None named 0 sources`7a61984e`	None named 0 sources`935b2e05`	None named 0 sources`dda569a2`
12Compare clinical AI documentation platforms on electronic health record context, launch, identity, templates, write-back, orders, coding, and support.Commercial comparison	Abridge 4 sources`f66b4034`	None named 0 sources`f9839c44`	None named 9 sources`9aa0bcd6`
13Compare clinical AI documentation platforms on patient consent, regulated data, model training, retention, encryption, residency, audit logs, and deletion.Commercial comparison	None named 9 sources`84e05b08`	None named 0 sources`8c4446f9`	None named 7 sources`0b4fcb53`
14How should a buyer compare clinical AI documentation pricing across clinicians, encounters, minutes, specialties, integrations, services, and support?Commercial comparison	None named 6 sources`f07cf36c`	None named 0 sources`75522b57`	None named 7 sources`935cc3d2`
15Which criteria expose template, specialty, transcript, note, coding, workflow, integration, export, and data lock-in in a clinical AI platform?Commercial comparison	None named 9 sources`9add4de8`	None named 0 sources`5cab6649`	None named 4 sources`4c5dde4b`
16Create a shortlist of clinical AI documentation vendors for a health system standardizing governed ambient documentation across care settings.Commercial comparison	AbridgeSukiAmbience Healthcare 7 sources`ef1f61de`	None named 0 sources`bdaab871`	AbridgeSuki, cited 1Ambience Healthcare 7 sources`c3ba4b09`

Sites cited in the filtered answers
Site	Answers citing it	Distinct pages	Model APIs	Best position
pmc.ncbi.nlm.nih.gov	12	6	2	1
omnimd.com	7	3	2	3
medicalscribe.app	7	2	2	2
supanote.ai	6	2	2	1
elion.health	5	4	2	3
trytwofold.com	5	3	2	1
youtube.com	5	3	2	5
getnudgeai.com	5	2	2	2
rank.ai	4	4	2	1
getlimeai.com	4	3	2	1
sully.ai	4	2	2	2
heidihealth.com	4	1	1	1
suki.ai	4	1	2	1
praxisemr.com	3	2	2	1
glass.health	3	2	2	2
researchgate.net	3	2	1	2
tandemhealth.ai	3	2	2	2
ai.deliverhealth.com	3	2	2	4
patientnotes.ai	3	2	2	4
hathr.ai	3	2	2	5

What this report publishesThe public buying questions, the brands each answer names, the sources it cites and a fingerprint of each answer. Answer text is not published, and no customer data is in it.clinical-ai-documentation-platforms-2026-07-27 / 4-clinical-ai-documentation-platforms-a8ee29d05703542b

Ranks a reviewed Clinical AI Documentation brand universe using a fixed, public set of neutral commercial prompts across 3 AI providers.

2

Rank on this board

0 percent

Score

8

Answers behind the score

100% confidence · 1 of 1 components evidenced

What the score is built from

1 of 1 evidenced

Every component evidenced · 1 evidence record each

Components of Abridge's score
Component	Value	Contribution
Anthropic brand recommendation presence	0	0

Moved down since the previous snapshot

-1 places

OpenAI brand recommendation presence50 to 87.5
+37.5
OpenAI brand mention coverage31.25 to 62.5
+31.25
Anthropic brand recommendation presence12.5 to 0
-12.5
Gemini brand recommendation presence25 to 12.5
-12.5
Mention share18.868 to 28.261
+9.393
Anthropic brand mention coverage6.25 to 0
-6.25
Mention coverage20.833 to 27.083
+6.25
Gemini brand mention coverage25 to 18.75
-6.25
Recommendation presence29.167 to 33.333
+4.167
Citation share4.762 to 7.692
+2.93
Engine breadth3 to 2
-1
Gemini brand citation share0 to 0
0
OpenAI brand citation share14.286 to 14.286
0

Where each number comes from

13 public records

Anthropic mention coverageAnthropic brand mention coverage · observed Oct 9, 2026, 12:00 AM UTC0 percent100% confidence
Source
Rank.ai Clinical AI Documentation Prompt Benchmark
Grade
A
Freshness
fresh
Locator
{"corpusVersion":"clinical-ai-documentation-platforms-2026-07-27","runArtifactIds":["60e31bc5-d3df-4505-b5cc-a5971db55d71","38a004b0-cb31-4cbf-b1f0-4ce475d170dc","58adce3c-b1fb-42cf-a9fc-2934c1bc95c3","984e900e-c967-4daf-8ba0-9f81475beaa8","c1b2da67-f249-44ed-b5b2-f702c31c1fed","cddda884-af26-467f-bddf-f1e56c786434","f5bac900-2982-4c91-b6cc-c085154e5ec4","6315b7c4-8d26-4acb-8886-96527afc858d","cc7b6dfc-c732-4d7e-8df8-63ff53442936","229631e1-8db8-4669-9a86-38f2fb4562ec","9d5d6453-cbf2-45a3-90b4-4881cdcd6e9f","03ae695b-c507-439e-9116-5ad2edb01f27","13df2f08-5a38-465d-b61b-77ed6d40a2f2","25d45fcd-1a3f-48f8-a47c-5d156630dfef","f465bb6f-11c3-42df-89c1-7316188815ac","d01c27ae-5a4c-4a20-b947-5437c393de44","2db73fe6-81aa-4471-bfe1-ee4aefcf7ffa","691f42f9-73fc-41c7-846c-3c0222373566","f211863b-0902-4376-8eff-972f8881d12c","384e465e-4bb0-48a2-8474-7c5d407c7173","a74b3ee4-98e4-41ff-beb2-7e79087e7a4e","b9f1a940-f70a-4280-93c8-4ab66a69de42","eb46c0ae-4d1a-44e2-87e9-29b6ff3280f2","a2e4ec70-7443-4ba2-bdcb-e92d50182f86","5a091875-f33b-4994-ad86-9f7555b1b660","919ed165-98a5-469f-99bd-2b5b1d17e7f7","f758107b-b619-4689-9adc-2ba3e22376c7","fb4e7814-e9b1-489d-84e9-7f8e43c31ff7","1061afeb-2b97-4c51-b135-bd5010305043","e114fe28-5d0c-4e80-aa97-a795386af093","8a02c0a2-4865-4c26-a6f0-0b7de1a45ea1","8c0be189-4dad-4010-8ee7-44f7bb5c656a","a67ed91a-9676-4240-9674-a276be610628","3a8aa957-2a2f-45f1-843f-6abb51649866","f7d72677-8fc1-4bcf-9488-ff669c5ea2b5","3fee6c23-a8b8-455b-a791-c6bb1e0899a3","b29c8a59-5d5c-43cc-b4c5-376c60b6c83e","95921635-d8e1-440d-b719-7878dd9168c8","f99316a0-11d4-4b6f-b16d-dc3037b6148e","8134cfe7-840c-4516-bb91-add87d44c3ea","f93e8dc0-620b-46b6-883d-982a4144492f","4581005c-4748-4423-9be3-c774551c15b9","8a77f991-6777-459d-b6ff-ea93100c61d0","edb1d2fc-9432-4c6b-86c5-4938b1a0d129","be11dd2b-e239-49f2-b2c3-0500e0c6dbae","80e417f1-1313-4129-abf8-e608b172b599","c8fa1955-0362-4a29-aeef-1004a6b4e67c","a406a716-2104-4223-91c7-38c5e92cf223"],"benchmarkVersion":"4-clinical-ai-documentation-platforms-a8ee29d05703542b","providerMatrixVersion":"64232fd32583"}
Open the source
Anthropic recommendation-prompt presenceAnthropic brand recommendation presence · observed Oct 9, 2026, 12:00 AM UTC0 percent100% confidence
Source
Rank.ai Clinical AI Documentation Prompt Benchmark
Grade
A
Freshness
fresh
Locator
{"corpusVersion":"clinical-ai-documentation-platforms-2026-07-27","runArtifactIds":["60e31bc5-d3df-4505-b5cc-a5971db55d71","38a004b0-cb31-4cbf-b1f0-4ce475d170dc","58adce3c-b1fb-42cf-a9fc-2934c1bc95c3","984e900e-c967-4daf-8ba0-9f81475beaa8","c1b2da67-f249-44ed-b5b2-f702c31c1fed","cddda884-af26-467f-bddf-f1e56c786434","f5bac900-2982-4c91-b6cc-c085154e5ec4","6315b7c4-8d26-4acb-8886-96527afc858d","cc7b6dfc-c732-4d7e-8df8-63ff53442936","229631e1-8db8-4669-9a86-38f2fb4562ec","9d5d6453-cbf2-45a3-90b4-4881cdcd6e9f","03ae695b-c507-439e-9116-5ad2edb01f27","13df2f08-5a38-465d-b61b-77ed6d40a2f2","25d45fcd-1a3f-48f8-a47c-5d156630dfef","f465bb6f-11c3-42df-89c1-7316188815ac","d01c27ae-5a4c-4a20-b947-5437c393de44","2db73fe6-81aa-4471-bfe1-ee4aefcf7ffa","691f42f9-73fc-41c7-846c-3c0222373566","f211863b-0902-4376-8eff-972f8881d12c","384e465e-4bb0-48a2-8474-7c5d407c7173","a74b3ee4-98e4-41ff-beb2-7e79087e7a4e","b9f1a940-f70a-4280-93c8-4ab66a69de42","eb46c0ae-4d1a-44e2-87e9-29b6ff3280f2","a2e4ec70-7443-4ba2-bdcb-e92d50182f86","5a091875-f33b-4994-ad86-9f7555b1b660","919ed165-98a5-469f-99bd-2b5b1d17e7f7","f758107b-b619-4689-9adc-2ba3e22376c7","fb4e7814-e9b1-489d-84e9-7f8e43c31ff7","1061afeb-2b97-4c51-b135-bd5010305043","e114fe28-5d0c-4e80-aa97-a795386af093","8a02c0a2-4865-4c26-a6f0-0b7de1a45ea1","8c0be189-4dad-4010-8ee7-44f7bb5c656a","a67ed91a-9676-4240-9674-a276be610628","3a8aa957-2a2f-45f1-843f-6abb51649866","f7d72677-8fc1-4bcf-9488-ff669c5ea2b5","3fee6c23-a8b8-455b-a791-c6bb1e0899a3","b29c8a59-5d5c-43cc-b4c5-376c60b6c83e","95921635-d8e1-440d-b719-7878dd9168c8","f99316a0-11d4-4b6f-b16d-dc3037b6148e","8134cfe7-840c-4516-bb91-add87d44c3ea","f93e8dc0-620b-46b6-883d-982a4144492f","4581005c-4748-4423-9be3-c774551c15b9","8a77f991-6777-459d-b6ff-ea93100c61d0","edb1d2fc-9432-4c6b-86c5-4938b1a0d129","be11dd2b-e239-49f2-b2c3-0500e0c6dbae","80e417f1-1313-4129-abf8-e608b172b599","c8fa1955-0362-4a29-aeef-1004a6b4e67c","a406a716-2104-4223-91c7-38c5e92cf223"],"benchmarkVersion":"4-clinical-ai-documentation-platforms-a8ee29d05703542b","providerMatrixVersion":"64232fd32583"}
Open the source
Citation shareCitation share · observed Oct 9, 2026, 12:00 AM UTC7.692 percent100% confidence
Source
Rank.ai Clinical AI Documentation Prompt Benchmark
Grade
A
Freshness
fresh
Locator
{"corpusVersion":"clinical-ai-documentation-platforms-2026-07-27","runArtifactIds":["60e31bc5-d3df-4505-b5cc-a5971db55d71","38a004b0-cb31-4cbf-b1f0-4ce475d170dc","58adce3c-b1fb-42cf-a9fc-2934c1bc95c3","984e900e-c967-4daf-8ba0-9f81475beaa8","c1b2da67-f249-44ed-b5b2-f702c31c1fed","cddda884-af26-467f-bddf-f1e56c786434","f5bac900-2982-4c91-b6cc-c085154e5ec4","6315b7c4-8d26-4acb-8886-96527afc858d","cc7b6dfc-c732-4d7e-8df8-63ff53442936","229631e1-8db8-4669-9a86-38f2fb4562ec","9d5d6453-cbf2-45a3-90b4-4881cdcd6e9f","03ae695b-c507-439e-9116-5ad2edb01f27","13df2f08-5a38-465d-b61b-77ed6d40a2f2","25d45fcd-1a3f-48f8-a47c-5d156630dfef","f465bb6f-11c3-42df-89c1-7316188815ac","d01c27ae-5a4c-4a20-b947-5437c393de44","2db73fe6-81aa-4471-bfe1-ee4aefcf7ffa","691f42f9-73fc-41c7-846c-3c0222373566","f211863b-0902-4376-8eff-972f8881d12c","384e465e-4bb0-48a2-8474-7c5d407c7173","a74b3ee4-98e4-41ff-beb2-7e79087e7a4e","b9f1a940-f70a-4280-93c8-4ab66a69de42","eb46c0ae-4d1a-44e2-87e9-29b6ff3280f2","a2e4ec70-7443-4ba2-bdcb-e92d50182f86","5a091875-f33b-4994-ad86-9f7555b1b660","919ed165-98a5-469f-99bd-2b5b1d17e7f7","f758107b-b619-4689-9adc-2ba3e22376c7","fb4e7814-e9b1-489d-84e9-7f8e43c31ff7","1061afeb-2b97-4c51-b135-bd5010305043","e114fe28-5d0c-4e80-aa97-a795386af093","8a02c0a2-4865-4c26-a6f0-0b7de1a45ea1","8c0be189-4dad-4010-8ee7-44f7bb5c656a","a67ed91a-9676-4240-9674-a276be610628","3a8aa957-2a2f-45f1-843f-6abb51649866","f7d72677-8fc1-4bcf-9488-ff669c5ea2b5","3fee6c23-a8b8-455b-a791-c6bb1e0899a3","b29c8a59-5d5c-43cc-b4c5-376c60b6c83e","95921635-d8e1-440d-b719-7878dd9168c8","f99316a0-11d4-4b6f-b16d-dc3037b6148e","8134cfe7-840c-4516-bb91-add87d44c3ea","f93e8dc0-620b-46b6-883d-982a4144492f","4581005c-4748-4423-9be3-c774551c15b9","8a77f991-6777-459d-b6ff-ea93100c61d0","edb1d2fc-9432-4c6b-86c5-4938b1a0d129","be11dd2b-e239-49f2-b2c3-0500e0c6dbae","80e417f1-1313-4129-abf8-e608b172b599","c8fa1955-0362-4a29-aeef-1004a6b4e67c","a406a716-2104-4223-91c7-38c5e92cf223"],"benchmarkVersion":"4-clinical-ai-documentation-platforms-a8ee29d05703542b","providerMatrixVersion":"64232fd32583"}
Open the source
Engine breadthEngine breadth · observed Oct 9, 2026, 12:00 AM UTC2 engines100% confidence
Source
Rank.ai Clinical AI Documentation Prompt Benchmark
Grade
A
Freshness
fresh
Locator
{"corpusVersion":"clinical-ai-documentation-platforms-2026-07-27","runArtifactIds":["60e31bc5-d3df-4505-b5cc-a5971db55d71","38a004b0-cb31-4cbf-b1f0-4ce475d170dc","58adce3c-b1fb-42cf-a9fc-2934c1bc95c3","984e900e-c967-4daf-8ba0-9f81475beaa8","c1b2da67-f249-44ed-b5b2-f702c31c1fed","cddda884-af26-467f-bddf-f1e56c786434","f5bac900-2982-4c91-b6cc-c085154e5ec4","6315b7c4-8d26-4acb-8886-96527afc858d","cc7b6dfc-c732-4d7e-8df8-63ff53442936","229631e1-8db8-4669-9a86-38f2fb4562ec","9d5d6453-cbf2-45a3-90b4-4881cdcd6e9f","03ae695b-c507-439e-9116-5ad2edb01f27","13df2f08-5a38-465d-b61b-77ed6d40a2f2","25d45fcd-1a3f-48f8-a47c-5d156630dfef","f465bb6f-11c3-42df-89c1-7316188815ac","d01c27ae-5a4c-4a20-b947-5437c393de44","2db73fe6-81aa-4471-bfe1-ee4aefcf7ffa","691f42f9-73fc-41c7-846c-3c0222373566","f211863b-0902-4376-8eff-972f8881d12c","384e465e-4bb0-48a2-8474-7c5d407c7173","a74b3ee4-98e4-41ff-beb2-7e79087e7a4e","b9f1a940-f70a-4280-93c8-4ab66a69de42","eb46c0ae-4d1a-44e2-87e9-29b6ff3280f2","a2e4ec70-7443-4ba2-bdcb-e92d50182f86","5a091875-f33b-4994-ad86-9f7555b1b660","919ed165-98a5-469f-99bd-2b5b1d17e7f7","f758107b-b619-4689-9adc-2ba3e22376c7","fb4e7814-e9b1-489d-84e9-7f8e43c31ff7","1061afeb-2b97-4c51-b135-bd5010305043","e114fe28-5d0c-4e80-aa97-a795386af093","8a02c0a2-4865-4c26-a6f0-0b7de1a45ea1","8c0be189-4dad-4010-8ee7-44f7bb5c656a","a67ed91a-9676-4240-9674-a276be610628","3a8aa957-2a2f-45f1-843f-6abb51649866","f7d72677-8fc1-4bcf-9488-ff669c5ea2b5","3fee6c23-a8b8-455b-a791-c6bb1e0899a3","b29c8a59-5d5c-43cc-b4c5-376c60b6c83e","95921635-d8e1-440d-b719-7878dd9168c8","f99316a0-11d4-4b6f-b16d-dc3037b6148e","8134cfe7-840c-4516-bb91-add87d44c3ea","f93e8dc0-620b-46b6-883d-982a4144492f","4581005c-4748-4423-9be3-c774551c15b9","8a77f991-6777-459d-b6ff-ea93100c61d0","edb1d2fc-9432-4c6b-86c5-4938b1a0d129","be11dd2b-e239-49f2-b2c3-0500e0c6dbae","80e417f1-1313-4129-abf8-e608b172b599","c8fa1955-0362-4a29-aeef-1004a6b4e67c","a406a716-2104-4223-91c7-38c5e92cf223"],"benchmarkVersion":"4-clinical-ai-documentation-platforms-a8ee29d05703542b","providerMatrixVersion":"64232fd32583"}
Open the source
Mention coverageMention coverage · observed Oct 9, 2026, 12:00 AM UTC27.083 percent100% confidence
Source
Rank.ai Clinical AI Documentation Prompt Benchmark
Grade
A
Freshness
fresh
Locator
{"corpusVersion":"clinical-ai-documentation-platforms-2026-07-27","runArtifactIds":["60e31bc5-d3df-4505-b5cc-a5971db55d71","38a004b0-cb31-4cbf-b1f0-4ce475d170dc","58adce3c-b1fb-42cf-a9fc-2934c1bc95c3","984e900e-c967-4daf-8ba0-9f81475beaa8","c1b2da67-f249-44ed-b5b2-f702c31c1fed","cddda884-af26-467f-bddf-f1e56c786434","f5bac900-2982-4c91-b6cc-c085154e5ec4","6315b7c4-8d26-4acb-8886-96527afc858d","cc7b6dfc-c732-4d7e-8df8-63ff53442936","229631e1-8db8-4669-9a86-38f2fb4562ec","9d5d6453-cbf2-45a3-90b4-4881cdcd6e9f","03ae695b-c507-439e-9116-5ad2edb01f27","13df2f08-5a38-465d-b61b-77ed6d40a2f2","25d45fcd-1a3f-48f8-a47c-5d156630dfef","f465bb6f-11c3-42df-89c1-7316188815ac","d01c27ae-5a4c-4a20-b947-5437c393de44","2db73fe6-81aa-4471-bfe1-ee4aefcf7ffa","691f42f9-73fc-41c7-846c-3c0222373566","f211863b-0902-4376-8eff-972f8881d12c","384e465e-4bb0-48a2-8474-7c5d407c7173","a74b3ee4-98e4-41ff-beb2-7e79087e7a4e","b9f1a940-f70a-4280-93c8-4ab66a69de42","eb46c0ae-4d1a-44e2-87e9-29b6ff3280f2","a2e4ec70-7443-4ba2-bdcb-e92d50182f86","5a091875-f33b-4994-ad86-9f7555b1b660","919ed165-98a5-469f-99bd-2b5b1d17e7f7","f758107b-b619-4689-9adc-2ba3e22376c7","fb4e7814-e9b1-489d-84e9-7f8e43c31ff7","1061afeb-2b97-4c51-b135-bd5010305043","e114fe28-5d0c-4e80-aa97-a795386af093","8a02c0a2-4865-4c26-a6f0-0b7de1a45ea1","8c0be189-4dad-4010-8ee7-44f7bb5c656a","a67ed91a-9676-4240-9674-a276be610628","3a8aa957-2a2f-45f1-843f-6abb51649866","f7d72677-8fc1-4bcf-9488-ff669c5ea2b5","3fee6c23-a8b8-455b-a791-c6bb1e0899a3","b29c8a59-5d5c-43cc-b4c5-376c60b6c83e","95921635-d8e1-440d-b719-7878dd9168c8","f99316a0-11d4-4b6f-b16d-dc3037b6148e","8134cfe7-840c-4516-bb91-add87d44c3ea","f93e8dc0-620b-46b6-883d-982a4144492f","4581005c-4748-4423-9be3-c774551c15b9","8a77f991-6777-459d-b6ff-ea93100c61d0","edb1d2fc-9432-4c6b-86c5-4938b1a0d129","be11dd2b-e239-49f2-b2c3-0500e0c6dbae","80e417f1-1313-4129-abf8-e608b172b599","c8fa1955-0362-4a29-aeef-1004a6b4e67c","a406a716-2104-4223-91c7-38c5e92cf223"],"benchmarkVersion":"4-clinical-ai-documentation-platforms-a8ee29d05703542b","providerMatrixVersion":"64232fd32583"}
Open the source
Reviewed-brand presence shareMention share · observed Oct 9, 2026, 12:00 AM UTC28.261 percent100% confidence
Source
Rank.ai Clinical AI Documentation Prompt Benchmark
Grade
A
Freshness
fresh
Locator
{"corpusVersion":"clinical-ai-documentation-platforms-2026-07-27","runArtifactIds":["60e31bc5-d3df-4505-b5cc-a5971db55d71","38a004b0-cb31-4cbf-b1f0-4ce475d170dc","58adce3c-b1fb-42cf-a9fc-2934c1bc95c3","984e900e-c967-4daf-8ba0-9f81475beaa8","c1b2da67-f249-44ed-b5b2-f702c31c1fed","cddda884-af26-467f-bddf-f1e56c786434","f5bac900-2982-4c91-b6cc-c085154e5ec4","6315b7c4-8d26-4acb-8886-96527afc858d","cc7b6dfc-c732-4d7e-8df8-63ff53442936","229631e1-8db8-4669-9a86-38f2fb4562ec","9d5d6453-cbf2-45a3-90b4-4881cdcd6e9f","03ae695b-c507-439e-9116-5ad2edb01f27","13df2f08-5a38-465d-b61b-77ed6d40a2f2","25d45fcd-1a3f-48f8-a47c-5d156630dfef","f465bb6f-11c3-42df-89c1-7316188815ac","d01c27ae-5a4c-4a20-b947-5437c393de44","2db73fe6-81aa-4471-bfe1-ee4aefcf7ffa","691f42f9-73fc-41c7-846c-3c0222373566","f211863b-0902-4376-8eff-972f8881d12c","384e465e-4bb0-48a2-8474-7c5d407c7173","a74b3ee4-98e4-41ff-beb2-7e79087e7a4e","b9f1a940-f70a-4280-93c8-4ab66a69de42","eb46c0ae-4d1a-44e2-87e9-29b6ff3280f2","a2e4ec70-7443-4ba2-bdcb-e92d50182f86","5a091875-f33b-4994-ad86-9f7555b1b660","919ed165-98a5-469f-99bd-2b5b1d17e7f7","f758107b-b619-4689-9adc-2ba3e22376c7","fb4e7814-e9b1-489d-84e9-7f8e43c31ff7","1061afeb-2b97-4c51-b135-bd5010305043","e114fe28-5d0c-4e80-aa97-a795386af093","8a02c0a2-4865-4c26-a6f0-0b7de1a45ea1","8c0be189-4dad-4010-8ee7-44f7bb5c656a","a67ed91a-9676-4240-9674-a276be610628","3a8aa957-2a2f-45f1-843f-6abb51649866","f7d72677-8fc1-4bcf-9488-ff669c5ea2b5","3fee6c23-a8b8-455b-a791-c6bb1e0899a3","b29c8a59-5d5c-43cc-b4c5-376c60b6c83e","95921635-d8e1-440d-b719-7878dd9168c8","f99316a0-11d4-4b6f-b16d-dc3037b6148e","8134cfe7-840c-4516-bb91-add87d44c3ea","f93e8dc0-620b-46b6-883d-982a4144492f","4581005c-4748-4423-9be3-c774551c15b9","8a77f991-6777-459d-b6ff-ea93100c61d0","edb1d2fc-9432-4c6b-86c5-4938b1a0d129","be11dd2b-e239-49f2-b2c3-0500e0c6dbae","80e417f1-1313-4129-abf8-e608b172b599","c8fa1955-0362-4a29-aeef-1004a6b4e67c","a406a716-2104-4223-91c7-38c5e92cf223"],"benchmarkVersion":"4-clinical-ai-documentation-platforms-a8ee29d05703542b","providerMatrixVersion":"64232fd32583"}
Open the source
Recommendation-prompt presenceRecommendation presence · observed Oct 9, 2026, 12:00 AM UTC33.333 percent100% confidence
Source
Rank.ai Clinical AI Documentation Prompt Benchmark
Grade
A
Freshness
fresh
Locator
{"corpusVersion":"clinical-ai-documentation-platforms-2026-07-27","runArtifactIds":["60e31bc5-d3df-4505-b5cc-a5971db55d71","38a004b0-cb31-4cbf-b1f0-4ce475d170dc","58adce3c-b1fb-42cf-a9fc-2934c1bc95c3","984e900e-c967-4daf-8ba0-9f81475beaa8","c1b2da67-f249-44ed-b5b2-f702c31c1fed","cddda884-af26-467f-bddf-f1e56c786434","f5bac900-2982-4c91-b6cc-c085154e5ec4","6315b7c4-8d26-4acb-8886-96527afc858d","cc7b6dfc-c732-4d7e-8df8-63ff53442936","229631e1-8db8-4669-9a86-38f2fb4562ec","9d5d6453-cbf2-45a3-90b4-4881cdcd6e9f","03ae695b-c507-439e-9116-5ad2edb01f27","13df2f08-5a38-465d-b61b-77ed6d40a2f2","25d45fcd-1a3f-48f8-a47c-5d156630dfef","f465bb6f-11c3-42df-89c1-7316188815ac","d01c27ae-5a4c-4a20-b947-5437c393de44","2db73fe6-81aa-4471-bfe1-ee4aefcf7ffa","691f42f9-73fc-41c7-846c-3c0222373566","f211863b-0902-4376-8eff-972f8881d12c","384e465e-4bb0-48a2-8474-7c5d407c7173","a74b3ee4-98e4-41ff-beb2-7e79087e7a4e","b9f1a940-f70a-4280-93c8-4ab66a69de42","eb46c0ae-4d1a-44e2-87e9-29b6ff3280f2","a2e4ec70-7443-4ba2-bdcb-e92d50182f86","5a091875-f33b-4994-ad86-9f7555b1b660","919ed165-98a5-469f-99bd-2b5b1d17e7f7","f758107b-b619-4689-9adc-2ba3e22376c7","fb4e7814-e9b1-489d-84e9-7f8e43c31ff7","1061afeb-2b97-4c51-b135-bd5010305043","e114fe28-5d0c-4e80-aa97-a795386af093","8a02c0a2-4865-4c26-a6f0-0b7de1a45ea1","8c0be189-4dad-4010-8ee7-44f7bb5c656a","a67ed91a-9676-4240-9674-a276be610628","3a8aa957-2a2f-45f1-843f-6abb51649866","f7d72677-8fc1-4bcf-9488-ff669c5ea2b5","3fee6c23-a8b8-455b-a791-c6bb1e0899a3","b29c8a59-5d5c-43cc-b4c5-376c60b6c83e","95921635-d8e1-440d-b719-7878dd9168c8","f99316a0-11d4-4b6f-b16d-dc3037b6148e","8134cfe7-840c-4516-bb91-add87d44c3ea","f93e8dc0-620b-46b6-883d-982a4144492f","4581005c-4748-4423-9be3-c774551c15b9","8a77f991-6777-459d-b6ff-ea93100c61d0","edb1d2fc-9432-4c6b-86c5-4938b1a0d129","be11dd2b-e239-49f2-b2c3-0500e0c6dbae","80e417f1-1313-4129-abf8-e608b172b599","c8fa1955-0362-4a29-aeef-1004a6b4e67c","a406a716-2104-4223-91c7-38c5e92cf223"],"benchmarkVersion":"4-clinical-ai-documentation-platforms-a8ee29d05703542b","providerMatrixVersion":"64232fd32583"}
Open the source
Gemini citation shareGemini brand citation share · observed Oct 9, 2026, 12:00 AM UTC0 percent100% confidence
Source
Rank.ai Clinical AI Documentation Prompt Benchmark
Grade
A
Freshness
fresh
Locator
{"corpusVersion":"clinical-ai-documentation-platforms-2026-07-27","runArtifactIds":["60e31bc5-d3df-4505-b5cc-a5971db55d71","38a004b0-cb31-4cbf-b1f0-4ce475d170dc","58adce3c-b1fb-42cf-a9fc-2934c1bc95c3","984e900e-c967-4daf-8ba0-9f81475beaa8","c1b2da67-f249-44ed-b5b2-f702c31c1fed","cddda884-af26-467f-bddf-f1e56c786434","f5bac900-2982-4c91-b6cc-c085154e5ec4","6315b7c4-8d26-4acb-8886-96527afc858d","cc7b6dfc-c732-4d7e-8df8-63ff53442936","229631e1-8db8-4669-9a86-38f2fb4562ec","9d5d6453-cbf2-45a3-90b4-4881cdcd6e9f","03ae695b-c507-439e-9116-5ad2edb01f27","13df2f08-5a38-465d-b61b-77ed6d40a2f2","25d45fcd-1a3f-48f8-a47c-5d156630dfef","f465bb6f-11c3-42df-89c1-7316188815ac","d01c27ae-5a4c-4a20-b947-5437c393de44","2db73fe6-81aa-4471-bfe1-ee4aefcf7ffa","691f42f9-73fc-41c7-846c-3c0222373566","f211863b-0902-4376-8eff-972f8881d12c","384e465e-4bb0-48a2-8474-7c5d407c7173","a74b3ee4-98e4-41ff-beb2-7e79087e7a4e","b9f1a940-f70a-4280-93c8-4ab66a69de42","eb46c0ae-4d1a-44e2-87e9-29b6ff3280f2","a2e4ec70-7443-4ba2-bdcb-e92d50182f86","5a091875-f33b-4994-ad86-9f7555b1b660","919ed165-98a5-469f-99bd-2b5b1d17e7f7","f758107b-b619-4689-9adc-2ba3e22376c7","fb4e7814-e9b1-489d-84e9-7f8e43c31ff7","1061afeb-2b97-4c51-b135-bd5010305043","e114fe28-5d0c-4e80-aa97-a795386af093","8a02c0a2-4865-4c26-a6f0-0b7de1a45ea1","8c0be189-4dad-4010-8ee7-44f7bb5c656a","a67ed91a-9676-4240-9674-a276be610628","3a8aa957-2a2f-45f1-843f-6abb51649866","f7d72677-8fc1-4bcf-9488-ff669c5ea2b5","3fee6c23-a8b8-455b-a791-c6bb1e0899a3","b29c8a59-5d5c-43cc-b4c5-376c60b6c83e","95921635-d8e1-440d-b719-7878dd9168c8","f99316a0-11d4-4b6f-b16d-dc3037b6148e","8134cfe7-840c-4516-bb91-add87d44c3ea","f93e8dc0-620b-46b6-883d-982a4144492f","4581005c-4748-4423-9be3-c774551c15b9","8a77f991-6777-459d-b6ff-ea93100c61d0","edb1d2fc-9432-4c6b-86c5-4938b1a0d129","be11dd2b-e239-49f2-b2c3-0500e0c6dbae","80e417f1-1313-4129-abf8-e608b172b599","c8fa1955-0362-4a29-aeef-1004a6b4e67c","a406a716-2104-4223-91c7-38c5e92cf223"],"benchmarkVersion":"4-clinical-ai-documentation-platforms-a8ee29d05703542b","providerMatrixVersion":"64232fd32583"}
Open the source
Gemini mention coverageGemini brand mention coverage · observed Oct 9, 2026, 12:00 AM UTC18.75 percent100% confidence
Source
Rank.ai Clinical AI Documentation Prompt Benchmark
Grade
A
Freshness
fresh
Locator
{"corpusVersion":"clinical-ai-documentation-platforms-2026-07-27","runArtifactIds":["60e31bc5-d3df-4505-b5cc-a5971db55d71","38a004b0-cb31-4cbf-b1f0-4ce475d170dc","58adce3c-b1fb-42cf-a9fc-2934c1bc95c3","984e900e-c967-4daf-8ba0-9f81475beaa8","c1b2da67-f249-44ed-b5b2-f702c31c1fed","cddda884-af26-467f-bddf-f1e56c786434","f5bac900-2982-4c91-b6cc-c085154e5ec4","6315b7c4-8d26-4acb-8886-96527afc858d","cc7b6dfc-c732-4d7e-8df8-63ff53442936","229631e1-8db8-4669-9a86-38f2fb4562ec","9d5d6453-cbf2-45a3-90b4-4881cdcd6e9f","03ae695b-c507-439e-9116-5ad2edb01f27","13df2f08-5a38-465d-b61b-77ed6d40a2f2","25d45fcd-1a3f-48f8-a47c-5d156630dfef","f465bb6f-11c3-42df-89c1-7316188815ac","d01c27ae-5a4c-4a20-b947-5437c393de44","2db73fe6-81aa-4471-bfe1-ee4aefcf7ffa","691f42f9-73fc-41c7-846c-3c0222373566","f211863b-0902-4376-8eff-972f8881d12c","384e465e-4bb0-48a2-8474-7c5d407c7173","a74b3ee4-98e4-41ff-beb2-7e79087e7a4e","b9f1a940-f70a-4280-93c8-4ab66a69de42","eb46c0ae-4d1a-44e2-87e9-29b6ff3280f2","a2e4ec70-7443-4ba2-bdcb-e92d50182f86","5a091875-f33b-4994-ad86-9f7555b1b660","919ed165-98a5-469f-99bd-2b5b1d17e7f7","f758107b-b619-4689-9adc-2ba3e22376c7","fb4e7814-e9b1-489d-84e9-7f8e43c31ff7","1061afeb-2b97-4c51-b135-bd5010305043","e114fe28-5d0c-4e80-aa97-a795386af093","8a02c0a2-4865-4c26-a6f0-0b7de1a45ea1","8c0be189-4dad-4010-8ee7-44f7bb5c656a","a67ed91a-9676-4240-9674-a276be610628","3a8aa957-2a2f-45f1-843f-6abb51649866","f7d72677-8fc1-4bcf-9488-ff669c5ea2b5","3fee6c23-a8b8-455b-a791-c6bb1e0899a3","b29c8a59-5d5c-43cc-b4c5-376c60b6c83e","95921635-d8e1-440d-b719-7878dd9168c8","f99316a0-11d4-4b6f-b16d-dc3037b6148e","8134cfe7-840c-4516-bb91-add87d44c3ea","f93e8dc0-620b-46b6-883d-982a4144492f","4581005c-4748-4423-9be3-c774551c15b9","8a77f991-6777-459d-b6ff-ea93100c61d0","edb1d2fc-9432-4c6b-86c5-4938b1a0d129","be11dd2b-e239-49f2-b2c3-0500e0c6dbae","80e417f1-1313-4129-abf8-e608b172b599","c8fa1955-0362-4a29-aeef-1004a6b4e67c","a406a716-2104-4223-91c7-38c5e92cf223"],"benchmarkVersion":"4-clinical-ai-documentation-platforms-a8ee29d05703542b","providerMatrixVersion":"64232fd32583"}
Open the source
Gemini recommendation-prompt presenceGemini brand recommendation presence · observed Oct 9, 2026, 12:00 AM UTC12.5 percent100% confidence
Source
Rank.ai Clinical AI Documentation Prompt Benchmark
Grade
A
Freshness
fresh
Locator
{"corpusVersion":"clinical-ai-documentation-platforms-2026-07-27","runArtifactIds":["60e31bc5-d3df-4505-b5cc-a5971db55d71","38a004b0-cb31-4cbf-b1f0-4ce475d170dc","58adce3c-b1fb-42cf-a9fc-2934c1bc95c3","984e900e-c967-4daf-8ba0-9f81475beaa8","c1b2da67-f249-44ed-b5b2-f702c31c1fed","cddda884-af26-467f-bddf-f1e56c786434","f5bac900-2982-4c91-b6cc-c085154e5ec4","6315b7c4-8d26-4acb-8886-96527afc858d","cc7b6dfc-c732-4d7e-8df8-63ff53442936","229631e1-8db8-4669-9a86-38f2fb4562ec","9d5d6453-cbf2-45a3-90b4-4881cdcd6e9f","03ae695b-c507-439e-9116-5ad2edb01f27","13df2f08-5a38-465d-b61b-77ed6d40a2f2","25d45fcd-1a3f-48f8-a47c-5d156630dfef","f465bb6f-11c3-42df-89c1-7316188815ac","d01c27ae-5a4c-4a20-b947-5437c393de44","2db73fe6-81aa-4471-bfe1-ee4aefcf7ffa","691f42f9-73fc-41c7-846c-3c0222373566","f211863b-0902-4376-8eff-972f8881d12c","384e465e-4bb0-48a2-8474-7c5d407c7173","a74b3ee4-98e4-41ff-beb2-7e79087e7a4e","b9f1a940-f70a-4280-93c8-4ab66a69de42","eb46c0ae-4d1a-44e2-87e9-29b6ff3280f2","a2e4ec70-7443-4ba2-bdcb-e92d50182f86","5a091875-f33b-4994-ad86-9f7555b1b660","919ed165-98a5-469f-99bd-2b5b1d17e7f7","f758107b-b619-4689-9adc-2ba3e22376c7","fb4e7814-e9b1-489d-84e9-7f8e43c31ff7","1061afeb-2b97-4c51-b135-bd5010305043","e114fe28-5d0c-4e80-aa97-a795386af093","8a02c0a2-4865-4c26-a6f0-0b7de1a45ea1","8c0be189-4dad-4010-8ee7-44f7bb5c656a","a67ed91a-9676-4240-9674-a276be610628","3a8aa957-2a2f-45f1-843f-6abb51649866","f7d72677-8fc1-4bcf-9488-ff669c5ea2b5","3fee6c23-a8b8-455b-a791-c6bb1e0899a3","b29c8a59-5d5c-43cc-b4c5-376c60b6c83e","95921635-d8e1-440d-b719-7878dd9168c8","f99316a0-11d4-4b6f-b16d-dc3037b6148e","8134cfe7-840c-4516-bb91-add87d44c3ea","f93e8dc0-620b-46b6-883d-982a4144492f","4581005c-4748-4423-9be3-c774551c15b9","8a77f991-6777-459d-b6ff-ea93100c61d0","edb1d2fc-9432-4c6b-86c5-4938b1a0d129","be11dd2b-e239-49f2-b2c3-0500e0c6dbae","80e417f1-1313-4129-abf8-e608b172b599","c8fa1955-0362-4a29-aeef-1004a6b4e67c","a406a716-2104-4223-91c7-38c5e92cf223"],"benchmarkVersion":"4-clinical-ai-documentation-platforms-a8ee29d05703542b","providerMatrixVersion":"64232fd32583"}
Open the source
OpenAI citation shareOpenAI brand citation share · observed Oct 9, 2026, 12:00 AM UTC14.286 percent100% confidence
Source
Rank.ai Clinical AI Documentation Prompt Benchmark
Grade
A
Freshness
fresh
Locator
{"corpusVersion":"clinical-ai-documentation-platforms-2026-07-27","runArtifactIds":["60e31bc5-d3df-4505-b5cc-a5971db55d71","38a004b0-cb31-4cbf-b1f0-4ce475d170dc","58adce3c-b1fb-42cf-a9fc-2934c1bc95c3","984e900e-c967-4daf-8ba0-9f81475beaa8","c1b2da67-f249-44ed-b5b2-f702c31c1fed","cddda884-af26-467f-bddf-f1e56c786434","f5bac900-2982-4c91-b6cc-c085154e5ec4","6315b7c4-8d26-4acb-8886-96527afc858d","cc7b6dfc-c732-4d7e-8df8-63ff53442936","229631e1-8db8-4669-9a86-38f2fb4562ec","9d5d6453-cbf2-45a3-90b4-4881cdcd6e9f","03ae695b-c507-439e-9116-5ad2edb01f27","13df2f08-5a38-465d-b61b-77ed6d40a2f2","25d45fcd-1a3f-48f8-a47c-5d156630dfef","f465bb6f-11c3-42df-89c1-7316188815ac","d01c27ae-5a4c-4a20-b947-5437c393de44","2db73fe6-81aa-4471-bfe1-ee4aefcf7ffa","691f42f9-73fc-41c7-846c-3c0222373566","f211863b-0902-4376-8eff-972f8881d12c","384e465e-4bb0-48a2-8474-7c5d407c7173","a74b3ee4-98e4-41ff-beb2-7e79087e7a4e","b9f1a940-f70a-4280-93c8-4ab66a69de42","eb46c0ae-4d1a-44e2-87e9-29b6ff3280f2","a2e4ec70-7443-4ba2-bdcb-e92d50182f86","5a091875-f33b-4994-ad86-9f7555b1b660","919ed165-98a5-469f-99bd-2b5b1d17e7f7","f758107b-b619-4689-9adc-2ba3e22376c7","fb4e7814-e9b1-489d-84e9-7f8e43c31ff7","1061afeb-2b97-4c51-b135-bd5010305043","e114fe28-5d0c-4e80-aa97-a795386af093","8a02c0a2-4865-4c26-a6f0-0b7de1a45ea1","8c0be189-4dad-4010-8ee7-44f7bb5c656a","a67ed91a-9676-4240-9674-a276be610628","3a8aa957-2a2f-45f1-843f-6abb51649866","f7d72677-8fc1-4bcf-9488-ff669c5ea2b5","3fee6c23-a8b8-455b-a791-c6bb1e0899a3","b29c8a59-5d5c-43cc-b4c5-376c60b6c83e","95921635-d8e1-440d-b719-7878dd9168c8","f99316a0-11d4-4b6f-b16d-dc3037b6148e","8134cfe7-840c-4516-bb91-add87d44c3ea","f93e8dc0-620b-46b6-883d-982a4144492f","4581005c-4748-4423-9be3-c774551c15b9","8a77f991-6777-459d-b6ff-ea93100c61d0","edb1d2fc-9432-4c6b-86c5-4938b1a0d129","be11dd2b-e239-49f2-b2c3-0500e0c6dbae","80e417f1-1313-4129-abf8-e608b172b599","c8fa1955-0362-4a29-aeef-1004a6b4e67c","a406a716-2104-4223-91c7-38c5e92cf223"],"benchmarkVersion":"4-clinical-ai-documentation-platforms-a8ee29d05703542b","providerMatrixVersion":"64232fd32583"}
Open the source
OpenAI mention coverageOpenAI brand mention coverage · observed Oct 9, 2026, 12:00 AM UTC62.5 percent100% confidence
Source
Rank.ai Clinical AI Documentation Prompt Benchmark
Grade
A
Freshness
fresh
Locator
{"corpusVersion":"clinical-ai-documentation-platforms-2026-07-27","runArtifactIds":["60e31bc5-d3df-4505-b5cc-a5971db55d71","38a004b0-cb31-4cbf-b1f0-4ce475d170dc","58adce3c-b1fb-42cf-a9fc-2934c1bc95c3","984e900e-c967-4daf-8ba0-9f81475beaa8","c1b2da67-f249-44ed-b5b2-f702c31c1fed","cddda884-af26-467f-bddf-f1e56c786434","f5bac900-2982-4c91-b6cc-c085154e5ec4","6315b7c4-8d26-4acb-8886-96527afc858d","cc7b6dfc-c732-4d7e-8df8-63ff53442936","229631e1-8db8-4669-9a86-38f2fb4562ec","9d5d6453-cbf2-45a3-90b4-4881cdcd6e9f","03ae695b-c507-439e-9116-5ad2edb01f27","13df2f08-5a38-465d-b61b-77ed6d40a2f2","25d45fcd-1a3f-48f8-a47c-5d156630dfef","f465bb6f-11c3-42df-89c1-7316188815ac","d01c27ae-5a4c-4a20-b947-5437c393de44","2db73fe6-81aa-4471-bfe1-ee4aefcf7ffa","691f42f9-73fc-41c7-846c-3c0222373566","f211863b-0902-4376-8eff-972f8881d12c","384e465e-4bb0-48a2-8474-7c5d407c7173","a74b3ee4-98e4-41ff-beb2-7e79087e7a4e","b9f1a940-f70a-4280-93c8-4ab66a69de42","eb46c0ae-4d1a-44e2-87e9-29b6ff3280f2","a2e4ec70-7443-4ba2-bdcb-e92d50182f86","5a091875-f33b-4994-ad86-9f7555b1b660","919ed165-98a5-469f-99bd-2b5b1d17e7f7","f758107b-b619-4689-9adc-2ba3e22376c7","fb4e7814-e9b1-489d-84e9-7f8e43c31ff7","1061afeb-2b97-4c51-b135-bd5010305043","e114fe28-5d0c-4e80-aa97-a795386af093","8a02c0a2-4865-4c26-a6f0-0b7de1a45ea1","8c0be189-4dad-4010-8ee7-44f7bb5c656a","a67ed91a-9676-4240-9674-a276be610628","3a8aa957-2a2f-45f1-843f-6abb51649866","f7d72677-8fc1-4bcf-9488-ff669c5ea2b5","3fee6c23-a8b8-455b-a791-c6bb1e0899a3","b29c8a59-5d5c-43cc-b4c5-376c60b6c83e","95921635-d8e1-440d-b719-7878dd9168c8","f99316a0-11d4-4b6f-b16d-dc3037b6148e","8134cfe7-840c-4516-bb91-add87d44c3ea","f93e8dc0-620b-46b6-883d-982a4144492f","4581005c-4748-4423-9be3-c774551c15b9","8a77f991-6777-459d-b6ff-ea93100c61d0","edb1d2fc-9432-4c6b-86c5-4938b1a0d129","be11dd2b-e239-49f2-b2c3-0500e0c6dbae","80e417f1-1313-4129-abf8-e608b172b599","c8fa1955-0362-4a29-aeef-1004a6b4e67c","a406a716-2104-4223-91c7-38c5e92cf223"],"benchmarkVersion":"4-clinical-ai-documentation-platforms-a8ee29d05703542b","providerMatrixVersion":"64232fd32583"}
Open the source
OpenAI recommendation-prompt presenceOpenAI brand recommendation presence · observed Oct 9, 2026, 12:00 AM UTC87.5 percent100% confidence
Source
Rank.ai Clinical AI Documentation Prompt Benchmark
Grade
A
Freshness
fresh
Locator
{"corpusVersion":"clinical-ai-documentation-platforms-2026-07-27","runArtifactIds":["60e31bc5-d3df-4505-b5cc-a5971db55d71","38a004b0-cb31-4cbf-b1f0-4ce475d170dc","58adce3c-b1fb-42cf-a9fc-2934c1bc95c3","984e900e-c967-4daf-8ba0-9f81475beaa8","c1b2da67-f249-44ed-b5b2-f702c31c1fed","cddda884-af26-467f-bddf-f1e56c786434","f5bac900-2982-4c91-b6cc-c085154e5ec4","6315b7c4-8d26-4acb-8886-96527afc858d","cc7b6dfc-c732-4d7e-8df8-63ff53442936","229631e1-8db8-4669-9a86-38f2fb4562ec","9d5d6453-cbf2-45a3-90b4-4881cdcd6e9f","03ae695b-c507-439e-9116-5ad2edb01f27","13df2f08-5a38-465d-b61b-77ed6d40a2f2","25d45fcd-1a3f-48f8-a47c-5d156630dfef","f465bb6f-11c3-42df-89c1-7316188815ac","d01c27ae-5a4c-4a20-b947-5437c393de44","2db73fe6-81aa-4471-bfe1-ee4aefcf7ffa","691f42f9-73fc-41c7-846c-3c0222373566","f211863b-0902-4376-8eff-972f8881d12c","384e465e-4bb0-48a2-8474-7c5d407c7173","a74b3ee4-98e4-41ff-beb2-7e79087e7a4e","b9f1a940-f70a-4280-93c8-4ab66a69de42","eb46c0ae-4d1a-44e2-87e9-29b6ff3280f2","a2e4ec70-7443-4ba2-bdcb-e92d50182f86","5a091875-f33b-4994-ad86-9f7555b1b660","919ed165-98a5-469f-99bd-2b5b1d17e7f7","f758107b-b619-4689-9adc-2ba3e22376c7","fb4e7814-e9b1-489d-84e9-7f8e43c31ff7","1061afeb-2b97-4c51-b135-bd5010305043","e114fe28-5d0c-4e80-aa97-a795386af093","8a02c0a2-4865-4c26-a6f0-0b7de1a45ea1","8c0be189-4dad-4010-8ee7-44f7bb5c656a","a67ed91a-9676-4240-9674-a276be610628","3a8aa957-2a2f-45f1-843f-6abb51649866","f7d72677-8fc1-4bcf-9488-ff669c5ea2b5","3fee6c23-a8b8-455b-a791-c6bb1e0899a3","b29c8a59-5d5c-43cc-b4c5-376c60b6c83e","95921635-d8e1-440d-b719-7878dd9168c8","f99316a0-11d4-4b6f-b16d-dc3037b6148e","8134cfe7-840c-4516-bb91-add87d44c3ea","f93e8dc0-620b-46b6-883d-982a4144492f","4581005c-4748-4423-9be3-c774551c15b9","8a77f991-6777-459d-b6ff-ea93100c61d0","edb1d2fc-9432-4c6b-86c5-4938b1a0d129","be11dd2b-e239-49f2-b2c3-0500e0c6dbae","80e417f1-1313-4129-abf8-e608b172b599","c8fa1955-0362-4a29-aeef-1004a6b4e67c","a406a716-2104-4223-91c7-38c5e92cf223"],"benchmarkVersion":"4-clinical-ai-documentation-platforms-a8ee29d05703542b","providerMatrixVersion":"64232fd32583"}
Open the source

Cite this data

Free to use with attribution. Copy a citation, or link to this page: it keeps its address when the board updates.

Plain textClinical AI documentation brands in Anthropic model API answers. Rank.ai, data as of October 9, 2026. https://www.rank.ai/rankings/clinical-ai-documentation/clinical-ai-documentation-platforms-brand-anthropic-visibility
HTML<a href="https://www.rank.ai/rankings/clinical-ai-documentation/clinical-ai-documentation-platforms-brand-anthropic-visibility">Clinical AI documentation brands in Anthropic model API answers</a>, Rank.ai, data as of October 9, 2026
Markdown[Clinical AI documentation brands in Anthropic model API answers](https://www.rank.ai/rankings/clinical-ai-documentation/clinical-ai-documentation-platforms-brand-anthropic-visibility), Rank.ai, data as of October 9, 2026
APARank.ai. (2026). Clinical AI documentation brands in Anthropic model API answers. Retrieved October 22, 2026, from https://www.rank.ai/rankings/clinical-ai-documentation/clinical-ai-documentation-platforms-brand-anthropic-visibility

Embed this table

Paste this on your site. It shows the latest published snapshot, and the credit line links readers to the full ranking.

<iframe src="https://www.rank.ai/embed/boards/clinical-ai-documentation-platforms-brand-anthropic-visibility" title="Clinical AI documentation brands in Anthropic model API answers" width="100%" height="420" loading="lazy" style="border:1px solid #111;max-width:720px"></iframe>
<p style="font-size:12px">Source: <a href="https://www.rank.ai/rankings/clinical-ai-documentation/clinical-ai-documentation-platforms-brand-anthropic-visibility">Clinical AI documentation brands in Anthropic model API answers</a> by Rank.ai</p>

See how often AI names you.

Enter your website. In about two minutes, Rank.ai asks ChatGPT, Claude and Gemini 12 questions your customers ask and grades how often they name you.

Your grade out of 100How often AI names you, cites your site, and how high it ranks you.
Who gets namedEvery competitor in the answers, most named first.
The pages AI readsThe sources behind each answer.
Three fixesWhat to fix first, with a brief for the first article.

Clinical AI documentation brands in Anthropic model API answers

All 12 companies by anthropic recommendation prompt presence

One brand against up to three competitors, answer by answer

Which compared brands each answer names

The sites these answers cite

One brand against up to three competitors, answer by answer

Which compared brands each answer names

The sites these answers cite

Abridge on Clinical AI Documentation Brands in Anthropic Model API Answers

What the score is built from

Moved down since the previous snapshot

Where each number comes from

More in Clinical AI documentation

See how often AI names you.

One brand against up to three competitors, answer by answer

Which compared brands each answer names

The sites these answers cite