How to connect multi location rehab inquiry routing help …

Your rehab group’s website, the Chatref widget, and the knowledge base that holds your location information are the three things that work together.

The widget sits on your site—any page, including the home page, contact page, or a dedicated locations page. When a patient asks a question, the widget sends it to Chatref, which searches the documents you uploaded for each location. It reads your hours of operation, accepted insurance plans, specific therapies offered, and intake instructions for every center. Because the AI is grounded in your own content, it can answer questions like “Does your Springfield location do vestibular rehab?” or “Which clinic is open on Saturday?” without guessing or sending the patient to the wrong facility.

No additional routing engine or third‑party connector is required. The connection is the training content itself—the clearer and more location‑specific you make it, the more precisely the widget will route patients to the right place.

1. Collect your location information
Write down everything a patient might need for each rehabilitation center: address, phone, operating hours, list of services and specialities, insurance plans accepted, parking instructions, and any unique intake steps. The more distinct the documents are per location, the better the AI can differentiate.

2. Train Chatref on your locations
At app.chatref.ai, create an agent for your rehabilitation practice. Add your content: you can upload PDFs, import web pages from each location’s page on your site, or paste plain text. Give every piece a clear title like “Springfield Rehab Center – hours and services.” Chatref reads everything and indexes it so it can answer questions grounded in that material.

3. Customize the widget
In the agent settings, choose your primary color and brand name to match your practice’s look. You can also set the initial greeting—something like “Ask me about services, hours, or how to schedule at any of our locations” helps orient patients. No per‑location widget is needed; one agent covers all your centers as long as the training content includes each facility.

4. Embed the snippet on your site
Copy the embed code from the agent’s “Embed” tab. Paste it just before the closing </body> tag of every page where you want the chat to appear. The widget works origin‑allowed out of the box, so it will show up only on the domain you registered.

5. Test with location‑specific questions
Open your website and ask the chat questions you expect patients to ask: “Which location does pelvic floor therapy?” or “Is the downtown clinic wheelchair accessible?”. If the answer references the right location, you are set. If not, you can tweak the training content and retest.

A patient lands on your homepage and sees a chat bubble in the corner. They click it and a message box opens. The greeting says something inviting, so they type “I need hand therapy for a wrist injury—do you have a clinic near me?”

The widget sends the question to Chatref, which scans your uploaded location documents and constructs an answer. For example, it might respond: “Yes, our Springfield center offers certified hand therapy Monday through Friday from 8 AM to 5 PM. It is at 200 Elm Street and accepts most major insurance plans. I can help you schedule—just say ‘book’.” The answer is drawn directly from your own clinic details, not from a generic database.

If the patient asks a follow‑up like “How do I prepare for my first visit?”, Chatref can pull intake instructions from the relevant document. The entire exchange stays in the same thread, and if a question needs a human, a staff member can take over from the Chatref inbox, keeping all the context.

The chatbot always sends patients to the same location regardless of their question
Check your training documents. Each location’s details must appear in separate documents or clearly separated sections. If all info is blended together, the AI cannot distinguish centers. Break out each facility into its own source and retrain the agent.

Answers refer to outdated clinic hours or services
When your hours or services change, update the source material inside Chatref and delete the old version. The agent will immediately start using the new content. Set a reminder to review your training data every quarter—operational realities in Rehabilitation Centers change frequently.

The widget does not appear on your website
Confirm the embed snippet is placed on the page, not inside a CMS visual builder as a code block without being published. Check that the domain where the snippet lives matches the origin you set in Chatref’s dashboard. If you use a CDN or proxy, ensure the widget script is not being blocked by a Content Security Policy.

Chatbot cannot answer a question about a specific service even though it is in your documentation
Phrase the service explicitly in your training content—use the exact terms patients use, not just internal clinical names. For example, include both “balance training” and “vestibular rehabilitation” if patients search for either. Adding a short list of common patient questions and their answers in a FAQ document inside the knowledge base often resolves under‑matching.

What causes multi location rehab inquiry routing problems for Rehabilitation Centers?

Routine problems stem from under‑documented location data: the AI receives no clear signal which services belong to which facility. Staff often update one location’s page while leaving another stale, so patients get conflicting answers. Additionally, generic website chatbots that lack grounding in the practice’s own content will not differentiate between locations and often hallucinate wrong information. Long phone hold times and missed calls then compound the routing breakdown, pushing patients to go elsewhere.

How do I improve multi location rehab inquiry routing for Rehabilitation Centers?

Train your AI on location‑specific, up‑to‑date documents that clearly name each center, its services, and its intake protocols. Make sure the widget is placed on every page of your site so patients can ask questions wherever they land. Use a chatbot that can carry context across a conversation—if a patient mentions a city in an early message, the chatbot should anchor subsequent answers to that location. Finally, review the automated answers regularly and refine your content based on the questions your patients actually ask, which you can track through the conversation insights dashboard.