Public competitive baseline
Science 37, Inc. is making the shortlist. AI still isn’t consistently giving buyers a reason to prefer it.
That is not a visibility problem. It is a preference problem.
Based on 10 answers from 1 of 5 assistants, recorded by us before contacting you — nothing here came from your team. The full record behind it is complete and available to you.
Not what you expected?
Every prompt, answer and source behind this page is on record.
If something here looks wrong, we will walk your team through how it was
recorded — question by question.
Ask us to show the record →
The question a buyer asked
“Is Science 37, Inc. a good choice for regulated healthcare?”
Science 37, Inc. was the recommended choice in this answer.
The buyer is still forming a view of the market at this point.
consideration
Read the full answer the buyer would see
As of my last knowledge update in October 2023, Science 37, Inc. is a company that specializes in decentralized clinical trials and has positioned itself to support the healthcare and pharmaceutical industries in conducting clinical research in a more efficient and patient-centric manner. Here are some factors to consider when evaluating whether Science 37 is a good choice for regulated healthcare:
1. **Decentralized Clinical Trials**: Science 37 focuses on decentralized clinical trials, which can improve patient recruitment and retention by allowing participants to engage in trials from their homes. This approach can be particularly beneficial in regulated healthcare settings.
2. **Regulatory Compliance**: The company is experienced in navigating the regulatory landscape, which is crucial for conducting clinical trials in a compliant manner. They have processes in place to ensure adherence to FDA and other regulatory requirements.
3. **Technology and Innovation**: Science 37 utilizes technology to streamline trial processes, including remote patient monitoring and telehealth solutions. This can enhance data collection and patient engagement.
4. **Partnerships and Collaborations**: The company has established partnerships with various pharmaceutical and biotech companies, which can be a positive indicator of its credibility and effectiveness in the industry.
5. **Reputation and Track Record**: Researching the company's reputation, client testimonials, and case studies can provide insights into its performance and reliability in conducting regulated healthcare trials.
6. **Cost and Efficiency**: Consider the cost-effectiveness of using Science 37's services compared to traditional trial methods. Decentralized trials can sometimes reduce costs and timelines.
7. **Patient Experience**: The focus on patient-centric approaches can lead to improved patient experiences and outcomes, which is increasingly important in healthcare.
Ultimately, whether Science 37, Inc. is a good choice for regulated healthcare will depend on your specific needs, the nature of the clinical trials you are considering, and how well the company's offerings align with your objectives. It may be beneficial to conduct further research, seek expert opinions, and possibly consult with other organizations that have worked with Science 37 to make an informed decision.
ChatGPT · gpt-4o-mini · 2026-08-24
Where Science 37, Inc. stops moving
Across the 10 answers recorded in this baseline.
Science 37, Inc. appears in 1 answers and is carried through to a recommendation in none of them.
AI is talking about Science 37, Inc. without citing Science 37, Inc..
Every answer we recorded, and where it came from.
1
answers that describe Science 37, Inc. to a buyer
→
0
of them cite an official Science 37, Inc. source
If AI is going to explain your company to a buyer,
whose version of the facts is it using?
Two more questions we recorded
Ranked by how close each sits to a purchase decision.
“What is the best regulated healthcare provider?”
Science 37, Inc. never came up in this answer.
Determining the "best" regulated healthcare provider can be subjective and depends on various factors, including the specific healthcare needs of individuals, geographic location, and the type of care required (e.g., primary care, specialized treatment, mental health services).
In general, some of the most highly regarded healthcare providers often include:
1. **Mayo Clinic** - Known for its patient-centered approach and high-quality care across various specialties.
2. **Cleveland Clinic** - Renowned for its heart care and comprehensive medical services.
3. **Johns Hopkins Hospital** - Recognized for its research and specialized medical care.
4. **Massachusetts General Hospital** - Offers a wide range of services and is affiliated with Harvard Medical School.
5. **UCLA Medical Center** - Known for its advanced treatment options and research.
When evaluating healthcare providers, consider factors such as:
- Accreditation and certifications
- Patient reviews and satisfaction scores
- Quality of care and outcomes
- Availability of specialists and services
- Insurance acceptance
It's essential to research and consider personal healthcare needs when choosing a provider.
ChatGPT · 2026-08-24
“Which regulated healthcare platform would you recommend for an enterprise?”
Science 37, Inc. never came up in this answer.
When considering a regulated healthcare platform for an enterprise, several factors such as compliance, scalability, security, and specific use cases need to be taken into account. Here are a few highly regarded platforms that are commonly recommended for enterprise-level healthcare solutions:
1. **Epic Systems**: Known for its comprehensive electronic health record (EHR) solutions, Epic is widely used in large healthcare organizations. It offers modules for various specialties and integrates well with other systems.
2. **Cerner**: Another leading EHR provider, Cerner offers a range of solutions for hospitals and health systems, focusing on interoperability and population health management.
3. **Allscripts**: This platform provides EHR, practice management, and revenue cycle management solutions. Allscripts emphasizes interoperability and has a strong focus on data analytics.
4. **Athenahealth**: Known for its cloud-based services, Athenahealth offers EHR, medical billing, and patient engagement solutions. It is particularly favored by smaller to mid-sized practices but is scalable for larger enterprises.
5. **Meditech**: This platform provides EHR solutions that are particularly strong in community hospitals and integrated delivery networks. Meditech emphasizes usability and patient engagement.
6. **Salesforce Health Cloud**: While not a traditional EHR, Salesforce Health Cloud offers a robust platform for patient relationship management, care coordination, and analytics, making it suitable for enterprises looking to enhance patient engagement.
7. **Microsoft Cloud for Healthcare**: This platform leverages Microsoft Azure and offers tools for data management, analytics, and patient engagement, focusing on interoperability and security.
8. **IBM Watson Health**: Known for its data analytics capabilities, IBM Watson Health can help enterprises leverage big data for insights into patient care, operational efficiency, and research.
When selecting a platform, it's essential to assess your specific needs, including regulatory compliance (such as HIPAA in the U.S.), integration capabilities with existing systems, user experience, and support services. Additionally, consider conducting a thorough vendor evaluation, including demos and pilot programs, to ensure the chosen platform aligns with your enterprise's goals and workflows.
ChatGPT · 2026-08-24
Your platform measures the outcome.
We work on what produces it.
You already know where you stand. What
measurement does not show is what the answer was assembled from.
Measure
- Visibility
- Mentions
- Competitor position
- Trends
What we work on
- Which facts about you an assistant can find
- Whether they come from a source it will use
- Where your own version is missing from the answer
- How that changes across the questions that matter
What decides the answer
Nobody tells an assistant which sources to trust. It decides that
on every single answer — and the only thing you control is what it finds
about you when it looks.
What it reads
Third-party write-ups, retailer pages, forums, review sites —
10 of the 10 answers we recorded were built this way.
What it doesn’t
Your own published facts. Across this baseline, an official
Science 37, Inc. source was cited 0 times.
What that means
The version of Science 37, Inc. a buyer hears is assembled from other
people’s descriptions of you, not from yours.
This is the part your monitoring platform reports on but does not
reach. We work on the layer underneath it: which facts about Science 37, Inc. are
available to an assistant, in what form, from a source it will actually use.
What you actually get
Not a report and not a dashboard of scores. A maintained layer of
facts about Science 37, Inc. that an assistant can find, plus the record of what
it does with them.
/fact-center
Facts, with their state
Product line & categories
verified
Certifications held
verified
Positioning vs alternatives
needs review
Pricing & availability
not published
/company/science 37, inc.
Machine-readable profile
.jsonld.yaml
.md.txt
.html
Structured factslive
Verification statelive
Recent changeslive
/monitoring
What the answers do next
“Is Science 37, Inc. a good choice for regulated heal…”
tracked
10answers on record
0
cite you today
So: software, not a report. The record you see on this page
is the starting point. What you run afterwards is a maintained fact layer for
Science 37, Inc. and continuous monitoring of what assistants do with it.
456 / 1,501
company domains we scanned already publish a machine-readable
fact layer or explicit rules for AI systems
Measuring and managing are two different jobs
Measuring tells you the score. It does
not change what the score is calculated from. Both matter — and only one
of them is something you can act on.
Science 37, Inc. publishes no fact layer and no rules for AI systems. Everything an assistant says about you today, it assembled without you.
What your team takes into a budget review
01
The answers themselves
Quotable, each with its date and the assistant that
produced it.
02
The source gap
1 answers describe Science 37, Inc.;
0 of them cite Science 37, Inc..
03
Where the brand stops moving
Mentioned 1 → recommended
0 → preferred 1.
04
What is actually controllable
Which facts about Science 37, Inc. an assistant can reach,
and which it cannot.
Every line above traces back to a recorded answer with a
timestamp and a provider — which is what holds up in a review, unlike a
score whose method nobody can see.
The uncomfortable part
You already have the
score. If a competitor keeps winning the same commercial questions:
- Do you know why?
- Can you change one thing without changing everything else?
- Can you prove that it moved the outcome?
- Can you repeat it?
If the answer is no, that is a reporting system, not a
growth system.
Fix what assistants say about you
Every prompt, every answer in full, every source behind it, broken down by
assistant. It is a record about Science 37, Inc., so we release it to a
verified science37.com address rather than publishing it.
Fix this →
The record stays with your team. Keep Profound, Scrunch, Peec, Semrush or
whatever you use now — this works on the layer underneath what they
measure, and does not replace them.
Who sees this record
Released to a verified science37.com address only. Not
indexed, not published, not shared with third parties.
Built for regulated work
We already run this method for FDA- and FCC-regulated
manufacturers, where a claim about a product has to survive scrutiny.
Every claim is traceable
Each statement links to the answer it came from, with the
provider and the timestamp. Nothing here is a modelled estimate.
Assistants in this baseline
ChatGPT10 answers recorded
ClaudeNot included in this run
GeminiNot included in this run
PerplexityNot included in this run
GrokNot included in this run
Running your own prompt set covers all 5 — request full coverage.
AuthorityPrompt
We maintain the layer of verified company facts that AI
assistants read, and we track what they say afterwards.
Where we are
AuthorityPrompt is now in ChatGPT and Codex
Security
- SOC 2
- SSO for team accounts
- Data encrypted in transit and at rest
Your record
- Released to verified company domains only
- Never indexed or resold
- Deleted on request
How this was measured
| Buying questions | 10 |
| Answers recorded | 10 |
| Requests attempted | 50 |
| Assistants that answered | ChatGPT |
| Recorded | 2026-08-24 22:38 UTC |
Every answer is reproduced as the assistant returned it at the time shown,
with the classification shown next to the answer it came from — so your
team can check it line by line, and quote it where a number without a method
would not hold up. Each answer carries the assistant, the date and the
sources it drew on, so a business case can be built on the record rather
than on an estimate.
Independent AuthorityPrompt profile based on publicly available sources. This company has not claimed or verified this profile and is not an AuthorityPrompt customer.