Reviewed clinical AI documentation platforms ranked by how often answers to the category's recommendation questions name or cite them, across three model APIs.
Clinical AI documentation
Clinical AI documentation brands in Anthropic model API answers
12 companies ranked by how often Anthropic's model API names or cites them.
12.5%
Heidi ranks first
Anthropic recommendation prompt presence
12
Companies ranked
Oct 9
Snapshot recorded
2026 · Rotating schedule
8
Answers behind each row
From the OpenAI, Anthropic and Google model APIs
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.
| 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 rankMy rank |
| 02 | Abridge | 0.0% | 27.08% · 13 / 48 | 28.26% · 13 / 46 | 7.69% · 1 / 13 | 1 | This rankMy rank |
| 03 | Suki | 0.0% | 18.75% · 9 / 48 | 19.57% · 9 / 46 | 30.77% · 4 / 13 | 1 | This rankMy rank |
| 04 | DeepScribe | 0.0% | 16.67% · 8 / 48 | 17.39% · 8 / 46 | 7.69% · 1 / 13 | 4 | ShowingMy rank |
| 05 | Freed | 0.0% | 10.42% · 5 / 48 | 10.87% · 5 / 46 | 15.38% · 2 / 13 | This rankMy rank | |
| 06 | Ambience Healthcare | 0.0% | 6.25% · 3 / 48 | 6.52% · 3 / 46 | 7.69% · 1 / 13 | 4 | This rankMy rank |
| 07 | Corti | 0.0% | 2.08% · 1 / 48 | 2.17% · 1 / 46 | 0% · 0 / 13 | 2 | This rankMy rank |
| 08 | Augmedix | 0.0% | 0% · 0 / 48 | 0% · 0 / 46 | 0% · 0 / 13 | 2 | This rankMy rank |
| 09 | AWS HealthScribe | 0.0% | 0% · 0 / 48 | 0% · 0 / 46 | 0% · 0 / 13 | 2 | This rankMy rank |
| 10 | Nabla Copilot | 0.0% | 0% · 0 / 48 | 0% · 0 / 46 | 0% · 0 / 13 | 3 | This rankMy rank |
| 11 | Nuance DAX Copilot | 0.0% | 0% · 0 / 48 | 0% · 0 / 46 | 0% · 0 / 13 | 5 | This rankMy rank |
| 12 | Oracle Clinical AI Agent | 0.0% | 0% · 0 / 48 | 0% · 0 / 46 | 0% · 0 / 13 | This rankMy rank |
Compare brands
One brand against up to three competitors, answer by answer
16 questions × 3 model APIs · recorded Oct 9, 2026
Compared 4 of 4
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
| 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 |
Every answer
Which compared brands each answer names
16 questions · 48 answers · a blank cell names none of the compared brands
| 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 |
Sources
The sites these answers cite
Each site is read from the cited address itself.
| 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
Why this rank
DeepScribe on Clinical AI Documentation Brands in Anthropic Model API Answers
Snapshot of Oct 9, 2026, 12:00 AM UTC · Link to this snapshot
Ranks a reviewed Clinical AI Documentation brand universe using a fixed, public set of neutral commercial prompts across 3 AI providers.
4
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 evidencedEvery component evidenced · 1 evidence record each
| Component | Value | Contribution |
|---|---|---|
| Anthropic brand recommendation presence | 0 | 0 |
Moved up since the previous snapshot
+4 places- OpenAI brand recommendation presence12.5 to 50+37.5
- OpenAI brand mention coverage12.5 to 43.75+31.25
- OpenAI brand citation share0 to 14.286+14.286
- Mention share3.774 to 17.391+13.618
- Mention coverage4.167 to 16.667+12.5
- Recommendation presence4.167 to 16.667+12.5
- Citation share0 to 7.692+7.692
- Gemini brand mention coverage0 to 6.25+6.25
- Engine breadth1 to 2+1
- Anthropic brand mention coverage0 to 00
- Anthropic brand recommendation presence0 to 00
- Gemini brand citation share0 to 00
- Gemini brand recommendation presence0 to 00
Where each number comes from
13 public recordsAnthropic 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"}
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"}
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"}
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"}
Mention coverageMention coverage · observed Oct 9, 2026, 12:00 AM UTC16.667 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"}
Reviewed-brand presence shareMention share · observed Oct 9, 2026, 12:00 AM UTC17.391 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"}
Recommendation-prompt presenceRecommendation presence · observed Oct 9, 2026, 12:00 AM UTC16.667 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"}
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"}
Gemini mention coverageGemini brand mention coverage · observed Oct 9, 2026, 12:00 AM UTC6.25 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"}
Gemini recommendation-prompt presenceGemini 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"}
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"}
OpenAI mention coverageOpenAI brand mention coverage · observed Oct 9, 2026, 12:00 AM UTC43.75 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"}
OpenAI recommendation-prompt presenceOpenAI brand recommendation presence · observed Oct 9, 2026, 12:00 AM UTC50 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"}
More in Clinical AI documentation
Ambient documentation, coding, and clinical workflow products ranked across a fixed healthcare buying corpus.
Reviewed vendors ranked by the share of all the category's answers that name or cite them.
Reviewed vendors ranked by their share of the citations that point to vendor websites.
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.