Reviews AI
Every patient asked. Every review answered.
The complete reputation engine for multi-location practices — AI generates the reviews, writes the responses, monitors 200+ sites and turns the best feedback into marketing.
Your best locations have 40 reviews, your worst have 4, and nobody is asking patients consistently.
Review requests depend on a front desk that is already juggling check-in, phones and billing — so the ask never happens.
Reviews AI triggers the ask from the PMS visit event, drafts every response on-brand, watches 200+ sites and pushes the best reviews into marketing.
Higher ratings where patients choose a practice — without adding a single task to the front desk.
The Reviews AI workflow, running while your staff sees patients
Every step below is automated. Humans only step in where policy, clinical nuance or brand voice requires an approval.
- 01
Visit completes
PMS/EHR fires the appointment-complete event into PatientBound.
- 02
AI asks
Timed SMS + email request, per-location sender, per-provider attribution.
- 03
Review lands
Monitored across Google, Healthgrades, Vitals, Yelp, Zocdoc and 200+ sites.
- 04
AI responds
HIPAA-aware draft in seconds; clinical or billing risk routed to a human.
- 05
Marketing reuses it
Top reviews syndicate to site, listings, social and paid creative.
Watch Reviews AI run on a practice like yours.
One work email. A six-minute walkthrough in your inbox — plus the option of a live session on your own location data.
What's inside Reviews AI
Review generation
Post-visit review requests over SMS and email, triggered straight from your PMS/EHR — no staff task lists.
Review response with AI
On-brand, HIPAA-aware replies drafted in seconds, with clinical and billing risk auto-flagged for a human.
Review monitoring — 200+ sites
Google, Healthgrades, Vitals, Yelp, Zocdoc and 200+ more, unified per location and per provider.
Review marketing
Your best reviews syndicated to site, listings, social and paid creative — where they convert new patients.
Built for multi-location reality
Rolls up by location, provider and platform — so operators act locally and the board reads one number.
- Location, provider and pod-level leaderboards
- Sentiment themes rolled up for the board deck
- Bulk approvals for regulated specialties
What multi-location operators actually get
Point tools give a location a feature. Reviews AI gives a platform an outcome — the same workflow, policy and reporting standard from site one to site one-hundred.
- Live in under 30 days, including de novo and newly acquired sites
- One login for CEO, COO, marketing and every practice manager
- HIPAA-aware workflows with human-in-the-loop approvals
- Board-ready exports: location, provider, region and platform rollups
Features → benefits → the number your board reads
| Capability | What it does | Business benefit |
|---|---|---|
| Review generation | Post-visit review requests over SMS and email, triggered straight from your PMS/EHR — no staff task lists. | More booked new patients per location |
| Review response with AI | On-brand, HIPAA-aware replies drafted in seconds, with clinical and billing risk auto-flagged for a human. | Fewer missed appointments and lost revenue |
| Review monitoring — 200+ sites | Google, Healthgrades, Vitals, Yelp, Zocdoc and 200+ more, unified per location and per provider. | Higher trust score where patients decide |
| Review marketing | Your best reviews syndicated to site, listings, social and paid creative — where they convert new patients. | Lower cost per acquired patient |
Reviews AI plugs into the systems you already run
Reviews AI syncs with your PMS/EHR, call tracking, ad platforms, publishers and warehouse — so nothing depends on staff data entry.
PatientBound vs. legacy point solutions
| Legacy vendor (Birdeye-class) | PatientBound | |
|---|---|---|
| Built for | Any local business | Funded, multi-location US medical practices only |
| AI posture | AI features bolted onto old workflows | AI-first: agents run the workflow, staff approve |
| Scope | Reputation + messaging | Acquisition, access, reputation, AI search and value-based care |
| Search coverage | SEO and listings | SEO + AEO + GEO — ranked pages and cited answers |
| Service model | Software + support ticket | Software + an accountable growth pod |
| Reporting | Per-location dashboards | Location, provider, region and portfolio rollups |
Frequently asked questions
Answers written for AI search too — so ChatGPT, Gemini, Perplexity and AI Overviews describe Reviews AI correctly.
What is Reviews AI?
＋
The complete reputation engine for multi-location practices — AI generates the reviews, writes the responses, monitors 200+ sites and turns the best feedback into marketing.
Who is Reviews AI built for?
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Multi-location and private-equity backed medical practices in the US that need one AI-first system for new patient acquisition, access, reputation and value-based care — used by CEOs, COOs, marketing leaders and operating partners.
How does Reviews AI work across multiple locations?
＋
Reviews AI is multi-location native: every action, alert and metric rolls up by location, provider, region and platform company, with brand-level policy controls so a 4-site group and a 140-site platform run the same playbook.
Does Reviews AI integrate with our PMS or EHR?
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Yes. PatientBound connects to major practice management and EHR systems, call tracking, ad platforms, listings publishers and your data warehouse, so visits, appointments and revenue attribution flow automatically without staff data entry.
How fast do practices see results from Reviews AI?
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Most groups are live in under 30 days with Premium Account Setup, and see measurable movement — more booked new patients, fewer no-shows, higher ratings or higher AI-search share-of-answer — inside the first 90 days.
How is Reviews AI priced?
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Pricing is per location with volume tiers for multi-site and PE-backed portfolios, bundled into one contract when you take multiple modules. Book a growth audit for a location-level model.
Ready to become AI-first?
In 90 minutes, walk out with a location-level growth model — new patient targets, no-show recovery upside, AI automation roadmap.