Healthcare

AI is already shaping how people understand your organization. See what it says — and what it’s reading.

Track the questions patients, journalists and referring clinicians ask about your organization. See how AI characterizes you — and the sources surrounding those answers.

An illustration of how Sourcepath characterizes what AI engines say about a health system. Across 14 tracked reputation questions, Sourcepath synthesized a mixed characterization: Your Health System is described as a strong regional cardiac and oncology provider, with recurring concerns about appointment wait times and billing clarity. It is Sourcepath’s synthesis of the answers it classified, not a quotation from any one of them. ChatGPT: characterized, Claude: characterized, Perplexity: characterized, Gemini: too little evidence to characterize. The characterization rests on three observed footings: 9 of 14 reputation questions it was drawn from; 4 pages were cited across those answers, counted as pages, not publishers; 1 page couldn’t be analyzed, the site disallows automated retrieval. The organization and environment shown are representative, not customer data.

The investigation

Three engines kept raising the same lawsuit. The team knew the case hadn’t gone that way.

Reputation monitoring surfaced a recurring concern the communications lead recognized immediately as wrong. Following it meant reading the answers it appeared in, the sources they cited, and one page that kept turning up.

An illustration of a communications team following a reputation concern through Sourcepath Brand & Influence. A health system tracks 14 brand and reputation questions across four AI engines, covering What is Your Health System known for, How does Your Health System compare with other hospitals in the region, What should patients know about Your Health System’s reputation, Is Your Health System a good place to receive cancer care, Has Your Health System faced any major controversies or legal issues, What do patients say about billing at Your Health System. In 3 of them, across 3 of the 4 monitored engines, Sourcepath recorded a recurring negative concern: that the organization lost a major malpractice case. The communications lead knew the case had not ended that way. ChatGPT, answering "Has Your Health System faced any major controversies or legal issues?", citing Harbor County Register, State Provider Registry, Metro Health Weekly; Claude, answering "What should patients know about Your Health System’s reputation?", citing Harbor County Register, Physician Review Hub (which could not be analyzed); Perplexity, answering "What is Your Health System known for?", citing Harbor County Register, County Public Records, Metro Health Weekly. One page recurs in all three: an article on Harbor County Register, present in every scan since March. Sourcepath had read that page, so the team sees the publication, the headline, the byline of Dana Whitfield, the March 2019 date, and that the organization is named on it. Beside it, an appellate disposition the team supplied, dated November 2021, states that judgment was entered in favor of the defendant and the March 2019 verdict vacated. The article appears in 3 tracked questions; the record appears in none. The publication is classified as media, routing the work to Earned Media & PR as an outreach opportunity, and the team pursues a correction using the record. 6 scans later, positive characterization across the monitored set reads 47% where it previously read 18%, and engine by engine: ChatGPT from negative to neutral, Claude from negative to positive, Gemini from not enough evidence to neutral, Perplexity from negative to mixed. The organization, publication, journalist and case shown are representative, not customer data.

Brand & Influence · reputation monitoring

“Wait — we didn’t lose that case.”

Communications lead

The answers it appears in

The page — and the record the team put beside it

“The verdict was vacated two years ago. The article was never updated — and it keeps appearing across these answers.”

Communications lead

Brand & Influence · where the work belongs

Six scans later

The reputation picture reads differently. Same 14 questions. Same four engines.

18%47%

Positive characterization across the monitored set.

Explore Sourcepath

One evidence system. Four ways to put it to work. Explore each Sourcepath intelligence layer.

Four Sourcepath capabilities, shown as they apply to a healthcare organization. Brand & Influence: the recurring themes AI answers carry about the organization and the source environment behind them — Cardiac care, from your site, 2 news sources; Cancer care, from your site, 1 directory; Appointment wait times, from 3 review pages; Billing clarity, from 2 review pages, 1 forum. AI Search Intelligence: how four monitored engines answer one discovery question, "Which hospitals near me have a dedicated cardiac rehabilitation program?", with the point in each answer where an organization was named. Competitive Intelligence: the organizations named across tracked questions — Riverbend Medical Center, Your Health System, the reader's own organization, Cedar Point Health, Northgate Clinic Group, not on the tracked list, Lakeshore Regional. Content Studio: the two shapes owned-site work takes, a page that does not exist yet and a page that already does with specific changes attached. The organizations and environment shown are representative, not customer data.

Most of what is said about your organization, you didn’t publish.

Brand & Influence

Explore Brand & Influence

See what four engines actually tell people who ask about you.

AI Search Intelligence

Explore AI Search Intelligence

Which organizations get named when yours doesn’t.

Competitive Intelligence

Explore Competitive Intelligence

When the work belongs on your own site, start it here.

Content Studio

Explore Content Studio

The evidence

Every finding comes with the evidence behind it.

How Sourcepath handles evidence. Four things are kept and stay connected on every finding. What AI said: in the engine’s own words; What source it cited: the page, not just the site; What Sourcepath verified: on the page it actually read; What the evidence supports: drawn from the three on its left. The answer shown came from ChatGPT; the source it cited is a specific page on Harbor County Register; what Sourcepath verified on that page is Your Health System named, present; Case outcome current, unknown; and the finding drawn from them is: This page recurs across three tracked questions. The work is Earned Media & PR. Three further proofs: Evidence stays attached — open any finding and see what supports it; Evidence strength stays visible — thin evidence stays thin; Findings change with the evidence — when the evidence moves, the finding moves. The environment shown is representative, not customer data.

Questions

What healthcare teams want to know. Clear answers, grounded in the evidence.

What is AI Search Intelligence for a healthcare organization?

Patients, journalists, referring clinicians and job candidates increasingly ask an AI assistant about your organization before they reach your website. AI Search Intelligence is the practice of observing what those assistants actually answer for the questions that matter to you, and which sources they cite when they answer, so communications and marketing can work from evidence rather than assumption.

Which AI platforms does Sourcepath monitor?

ChatGPT, Claude, Gemini and Perplexity. Sourcepath records each one separately, because they do not answer the same question about your organization the same way. An engine that describes you warmly and one that has too little to say about you at all are different situations, and a single blended score would hide the difference.

AI said something about our organization that is wrong. What can Sourcepath help us investigate?

Sourcepath shows you the answers where the claim appears, which engines produced them, and the sources each of those answers cited. When the same external page keeps turning up across them, it shows you that page: the publication, the headline, the publication date, the author where the page names one, and whether your organization is named on it. From there your team compares it against what you know to be accurate and decides what to do — and Sourcepath tells you which kind of work that is and where it belongs.

Can Sourcepath tell us which source produced a specific sentence in an answer?

No — and neither can anyone else. AI engines cite sources for a whole answer, not line by line, so any tool claiming to trace one sentence to one page is guessing. What Sourcepath does instead is more useful: it shows which sources recur across every answer where a claim appears, how many of your tracked questions each one shows up in, and whether it has been there scan after scan. A page cited in one answer is noise; a page cited in all of them is where your team should look.

Can Sourcepath track questions about specialties and service lines, not just our name?

Yes. You choose the questions. Teams typically track a mix — what the organization is known for, how it compares regionally, reputation and controversy questions, and service-line discovery questions like where someone should go for cardiac rehabilitation or cancer care. Sourcepath answers what the engines said and which sources sat behind it, for whichever set you choose to watch.

Can Sourcepath show which other healthcare organizations appear alongside us?

Yes, and it will surface organizations you were not tracking. Sourcepath records which organizations each answer named across your question set, including ones you never added, so you can see who is being brought into the conversation. This is about which names AI answers put in front of people — not about clinical quality, outcomes or which organization is better.

How is this different from healthcare SEO?

SEO tells you how pages rank in a list of links. This tells you what an assistant said in a sentence, and what it was reading when it said it. The two come apart constantly in healthcare: your own pages can be perfectly optimized while the answer is assembled from a review profile, a directory listing and a news article from four years ago. Sourcepath reports what was answered and what was cited separately, and tells you which of the resulting work belongs on your site and which belongs somewhere you don’t control. See the SEO and AEO team view.

How can a healthcare organization monitor and improve its AI-search visibility?

Start from the questions people actually ask about your organization, your specialties and your service lines. Sourcepath records how the monitored AI assistants answer them, which pages and third-party sources each answer cites, and how your organization is characterized. From there the work is specific: an owned page that needs to say something more clearly, or an outside source that keeps shaping the answer — and the same questions read again on the next scan show what moved. See how visibility is reported over time.

See what AI is saying about your organization.