The historical convention was to qualify leads through a counselor before revealing price, on the theory that price-only browsers were poor-fit leads. That logic worked when families called one community per week. In a world where adult children compare four communities in one evening, hiding pricing means dropping out of the shortlist. Communities that publish honest pricing in chat win more first tours, and the families who arrive already have the number in mind so the counselor's job becomes value framing not number reveal.

Each apartment type has a base monthly rent, the community fee amortized over an expected stay, and a care-level surcharge that ties to the nurse's assessment. The bot combines these into a single quoted figure so the family sees what the invoice will look like. If your pricing model includes second-occupant fees, pet rent, or guest meal credits, those add as explicit line items the bot can reference rather than rolling them into an opaque average.

Medication, care-level fit, and clinical interpretation are declined topics in the system prompt. The bot routes those to a complimentary nurse assessment. This matters legally because state assisted living licensure rules vary on what marketing-side chat is permitted to discuss about a prospective resident's clinical situation, and the safe posture is to never opine. It also matters operationally because the nurse assessment is the single highest converting step in the funnel.

Yes. Tours and assessments are different visit types with different schedulers in scope. The bot reads which counselor handles tours and which nurse handles assessments from the community's staff list, and books with the right person. Families researching late at night often want both, a Saturday tour and a follow-up assessment the next week, and the chat handles the multi-step booking in one session instead of leaving voicemails.

At a high level yes. The bot can explain that the community accepts Veterans Aid and Attendance at a supplemental level, that it accepts long-term care insurance reimbursement from a specific list of insurers, and whether your state's Medicaid waiver program is accepted at any care level. Detailed eligibility for a specific family routes to your benefits coordinator who runs real numbers with the family's documents in hand.

Scope the chat to non-clinical questions and gently steer families to save medical detail for the assessment. When the chat does touch PHI, run OpenAI under HIPAA-eligible configuration with a BAA, encrypt the WordPress database at rest, restrict log access by role, and document the chat in your privacy notice. Assisted living also operates under state licensure rules that overlap with HIPAA, so check both your state's marketing rules and the federal HIPAA framework.

Each community is a separate WordPress site or location, with its own apartment inventory, pricing, staff, and amenities. The bot detects location from URL or postcode in the conversation and answers from the right community's data. Multi-state operators configure their crisis routing, benefits coordinator, and dining program specifics per location, so a family researching a parent in Florida gets Florida specifics not the corporate national average.

SleekAI logs each conversation with apartment type, care level, dining and amenity questions, and whether a tour or assessment was booked. The data flows into a CRM workflow because assisted living sales cycles run 30 to 120 days, with first website visit to move-in often involving 6 to 10 family touchpoints. The chat history is genuinely useful context for the sales counselor and the nurse on the next call.