Public competitive baseline
Freenome 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 Freenome a good choice for regulated healthcare?”
Freenome 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
Freenome is a biotechnology company that focuses on early cancer detection through blood tests using artificial intelligence and machine learning. When considering whether Freenome is a good choice for regulated healthcare, several factors should be taken into account:
1. **Regulatory Approval**: Check if Freenome's products have received necessary regulatory approvals from agencies like the FDA or equivalent bodies in other countries. Regulatory approval is crucial for any healthcare-related technology, as it ensures that the product meets safety and efficacy standards.
2. **Clinical Validation**: Look for clinical studies or trials that validate the effectiveness of Freenome's tests. Peer-reviewed publications and clinical trial results can provide insights into the reliability and accuracy of their technology.
3. **Integration with Healthcare Systems**: Consider how well Freenome's solutions integrate with existing healthcare systems and workflows. Ease of use and compatibility with electronic health records (EHR) can significantly impact adoption in regulated healthcare environments.
4. **Data Security and Compliance**: Given the sensitive nature of healthcare data, it's essential to evaluate Freenome's data security measures and compliance with regulations such as HIPAA in the U.S. or GDPR in Europe.
5. **Reputation and Track Record**: Research the company's reputation in the healthcare industry, including feedback from healthcare providers and patients. A strong track record can indicate reliability and trustworthiness.
6. **Cost and Accessibility**: Assess the cost of Freenome's tests and whether they are covered by insurance. Accessibility can be a significant factor in determining whether a technology is a viable option in regulated healthcare.
7. **Partnerships and Collaborations**: Look into any partnerships with healthcare institutions or organizations, as these can enhance credibility and facilitate broader adoption.
In summary, whether Freenome is a good choice for regulated healthcare depends on its regulatory status, clinical validation, integration capabilities, data security, reputation, cost, and partnerships. It's advisable to conduct thorough research and consult with healthcare professionals before making a decision.
ChatGPT · gpt-4o-mini · 2026-08-24
Where Freenome stops moving
Across the 10 answers recorded in this baseline.
Freenome appears in 1 answers and is carried through to a recommendation in none of them.
AI is talking about Freenome without citing Freenome.
Every answer we recorded, and where it came from.
1
answers that describe Freenome to a buyer
→
0
of them cite an official Freenome 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?”
Freenome 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, specialty care, mental health services).
In general, some of the most highly regarded healthcare providers are often large, established organizations that have received high marks for quality of care, patient satisfaction, and safety. Examples include:
1. **Mayo Clinic** - Known for its patient-centered approach and high-quality care across various specialties.
2. **Cleveland Clinic** - Renowned for its cardiac care and innovative treatments.
3. **Johns Hopkins Hospital** - Recognized for its research and specialty care, particularly in neurology and psychiatry.
4. **Massachusetts General Hospital** - Offers a wide range of services and is affiliated with Harvard Medical School.
5. **UCLA Medical Center** - Known for its comprehensive care and research initiatives.
When evaluating healthcare providers, consider factors such as:
- Accreditation and certifications (e.g., Joint Commission, NCQA)
- Patient reviews and satisfaction scores
- Quality of care metrics (e.g., readmission rates, infection rates)
- Availability of specialists and services
- Insurance acceptance and cost of care
It's essential to research and consider personal experiences, recommendations from healthcare professionals, and specific needs when choosing a healthcare provider.
ChatGPT · 2026-08-24
“Which regulated healthcare platform would you recommend for an enterprise?”
Freenome never came up in this answer.
When considering a regulated healthcare platform for an enterprise, several factors such as compliance with healthcare regulations (like HIPAA in the U.S.), scalability, interoperability, and specific use cases (like electronic health records, telehealth, or patient engagement) come into play. Here are a few well-regarded platforms that are commonly recommended for enterprises in the healthcare sector:
1. **Epic Systems**: Known for its comprehensive electronic health record (EHR) solutions, Epic is widely used by large healthcare organizations. It offers robust features for patient management, billing, and interoperability.
2. **Cerner**: Another major player in the EHR space, Cerner provides a wide range of healthcare solutions, including population health management and revenue cycle management, with a focus on data analytics.
3. **Allscripts**: This platform offers EHR, practice management, and revenue cycle solutions, and is known for its interoperability capabilities, allowing different systems to communicate effectively.
4. **Athenahealth**: A cloud-based platform that provides EHR, practice management, and medical billing services. Athenahealth is known for its user-friendly interface and strong focus on patient engagement.
5. **Meditech**: Offers EHR solutions that cater to various healthcare settings, including hospitals and outpatient facilities. Meditech emphasizes usability and patient-centered care.
6. **Salesforce Health Cloud**: While not a traditional EHR, Salesforce Health Cloud provides a platform for patient relationship management and can integrate with other healthcare systems to enhance patient engagement and care coordination.
7. **Microsoft Cloud for Healthcare**: This platform provides tools for data management, analytics, and patient engagement, leveraging Microsoft’s cloud infrastructure while ensuring compliance with healthcare regulations.
8. **IBM Watson Health**: Focused on data analytics and AI, IBM Watson Health offers solutions that can help healthcare organizations improve decision-making and patient outcomes.
9. **Philips HealthSuite**: A cloud-based platform that supports various healthcare applications, including remote patient monitoring and telehealth solutions.
When selecting a platform, it's essential to assess your organization's specific needs, budget, and existing infrastructure. Additionally, consider engaging with vendors for demos and trials to ensure the platform aligns with your enterprise's goals and compliance requirements.
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
Freenome source was cited 0 times.
What that means
The version of Freenome 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 Freenome 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 Freenome 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/freenome
Machine-readable profile
.jsonld.yaml
.md.txt
.html
Structured factslive
Verification statelive
Recent changeslive
/monitoring
What the answers do next
“Is Freenome a good choice for regulated healthcare?…”
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
Freenome 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.
Freenome 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 Freenome;
0 of them cite Freenome.
03
Where the brand stops moving
Mentioned 1 → recommended
0 → preferred 1.
04
What is actually controllable
Which facts about Freenome 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 Freenome, so we release it to a
verified freenome.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 freenome.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 20:55 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.