Attune for Healthcare
Patients ask AI first. Make sure it gets you right.
Before a patient books, they ask AI assistants whether you are legitimate, safe, and worth the money. Attune reads those answers continuously, flags what is wrong or missing, files the fix as reviewable work, and keeps a compliance-minded AI agent watching your public claims around the clock.
Patient trust workspace
Trust signals
Know what patients are told
Safety concerns, pricing questions, legitimacy checks, and competitor comparisons, read across every AI engine daily.
Compliance watch
Catch risky claims early
A specialist AI agent flags outdated pricing, unsupported claims, and stale medical content across your pages and files each finding for your team to review.
Approved execution
Ship with review gates
Every content change moves through approval before it publishes, with receipts and audit trails on every agent action.
The new patient journey
Trust is decided before the first appointment.
Healthcare is a trust-first category, and AI answers now carry that trust conversation: is this provider legitimate, is the treatment safe, why is pricing so confusing. When those answers are wrong or stale, patients quietly choose someone else. Attune makes the whole conversation visible and fixable.
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Every day, Attune reads the answers patients get first: is this legitimate, is it safe, why is pricing like this, across every engine.
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Trust and sentiment reads surface safety concerns, rating citations, and warning topics early.
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A compliance-minded AI agent watches owned pages for stale claims, outdated pricing, and content that needs review.
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Every correction enters review with its evidence and approval path already attached.
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Once a correction ships, a rescan confirms it reached the answer a patient sees before they book.
Operating model
Watched. Reviewed. Corrected. Verified.
Attune reads what patients are told, flags what needs review, drafts the corrections for your team to approve, and keeps proof that every fix landed. It is Continuous GTM, run at the standard a regulated category demands.
“In healthcare, a wrong answer is not a missed click. It is a patient who never calls. Attune watches the answers so your team can fix them first.”
Use cases
What this looks like in practice.
Trust monitoring
Know what patients are told about you.
Attune samples the questions patients put to AI instead of you: is it safe, is it legitimate, what does it cost, and how does it compare.
Outcome
Trust, pricing, and legitimacy questions read daily.
Claims review
Flag stale claims before they publish.
An AI agent reviews owned pages and market answers for stale pricing and unsupported claims, then files findings for review. Nothing publishes without a named human sign-off.
Outcome
Stale claims flagged for review before anything ships.
Verified corrections
Keep a standing audit trail for every fix.
Every correction carries its evidence, acceptance criteria, and verification plan, and the receipt stays attached forever once the fix is confirmed.
Outcome
A standing audit trail attached to every correction.
How it runs
Five steps, on a loop.
Collect
Read every surface that shapes buyer belief: AI answers, search, citations, analytics, and your own systems.
Interpret
Find where belief, visibility, or trust is leaking, with the evidence attached.
Prioritize
Rank the work by impact in Growth Inbox.
Execute
Ship approved fixes through your team and AI agents.
Verify
Retest against the live market and keep score.
Next step
See what AI tells patients about you today.
Request a free trust read: how AI answers describe your safety, pricing, and legitimacy, where the gaps are, and what Attune would flag for review first.