Voice Assistant for Real Estate Agents
CEO The Librarian
Discover how voice-first AI assistants help real estate agents tackle administrative tasks on the go. Learn how WhatsApp and SMS integration enables hands-free productivity while driving between showings, from drafting emails and scheduling viewings to capturing client details and posting listings—all through natural language commands in 80+ languages.
Ask any top Real Estate Agent where they spend most of their workday and you’ll hear the same thing: in the car. Between showings, inspections, and client meetings across town, admin piles up until late evening. Follow-ups get delayed, notes go missing, and deals slow down.
The Librarian changes that by giving agents a voice-first assistant on WhatsApp and SMS that works while on the move - send a tenancy agreement, upload photos of the property, or paste a chat transcript with a Buyer, and The Librarian handles the heavy lifting across email, calendar, files, LinkedIn, internal CRMs, and local property portals. The result is fewer tasks waiting at the end of the day, faster client responses, and a more consistent sales process.
Why voice commands matter for agents on the move
- Hands-free productivity while driving: Ask The Librarian to draft emails, schedule viewings, search for agreements, all while staying focused on the road.
- No more end-of-day backlog: Turn drive time into productive time so you wrap your to dos by dinner, not midnight.
- Natural-language workflows: Say what you want in any language (we support more than 80 languages) and The Librarian routes it to the right tool or integration to execute the task.
Top real-world use cases
Post a new listing in minutes
- Snap a few photos at a property, then say: “Create a social post for a 3-bed townhouse in Austin, 2,100 sq ft, $850,000, zoned to top-rated schools. Use the photos I just took and include a viewing call-to-action button.”
- The Librarian drafts the copy, organizes the media, and prepares posts for your social channels. It can also pull any additional details from your CRM or local property portal (eg MLS, Bayut, 99.co) to ensure accuracy.
Schedule a showing from a chat thread
- Copy-paste a text exchange with a buyer and say: “Schedule the showing based on these text messages at 1234 Maple Street in Seattle. Invite the buyer, add include building access instructions in the cal invite notes.”
- The Librarian parses the conversation, checks availability, and creates the calendar invite with the directions and access notes, and even attaches a Zoom / Google Meet link if a virtual tour is needed.
Instantly capture client details from business card into CRM
- Take a photo of a client’s card and say: “Save this as a new contact, tag as buyer, and include his preferences, eg budget $700,000 to $800,000, prefers Brooklyn, needs outdoor space and parking.”
- The Librarian creates or updates the contact into your CRM, and stores all your notes and home preferences so future searches can match the buyer profile.
Kick off paperwork with one photo
- Photograph client documents and say: “Email support to start a lease agreement draft for Unit 12B, target move-in January 15. Attach these docs and copy my legal alias.”
- The Librarian composes the email, attaches the images, and tracks replies so the deal keeps moving forward to a successful closure.
Quick property lookups during calls
- When a client calls about a specific home, just say to The Librarian: “Show me the latest details for 456 Oak Avenue in Chicago, 2-bedroom listings, and recent price changes.”
- The Librarian checks your CRM and local propery portals, then returns a concise brief you can reference mid-call, with links for deeper detail.
Smart matching for buyer briefs
- “Find available properties in Denver, 3-bed minimum, 2,000 to 2,400 sq ft, under $900,000, with a balcony or yard, ready to move in January.”
- The Librarian searches local property portals and your CRM, compiles a shortlist, and drafts outreach messages and showing requests.
What makes this work behind the scenes
- Deep integrations: Email, calendar, drive, LinkedIn, plus real estate systems like your CRM and local property portals (eg MLS/Bayut/99.co).
- Contextual memory: Client preferences, budgets, neighborhoods, and past interactions are saved, so every action becomes faster and more accurate.
- Automation with confirmation: The Librarian drafts first, then lets you approve or tweak. No double work, no manual re-entry.
A day-in-the-life with The Librarian
These building blocks show how The Librarian compresses multi-step workflows into a single voice command. The impact shows up on the calendar and in your pipeline. Here’s what a typical workday looks like when those gains stack up:
- 9:00 am, on the way to a showing: “Send a reminder to Ms. Johnson about today’s 10 am showing at Downtown Views, include parking instructions.”
- 11:15 am, after the tour: “Log Ms. Johnson’s feedback, prefers higher floor, says budget can stretch to $950,000 for a good view.”
- 1:30 pm, between appointments: “Create a polished social post featuring the Austin townhouse photos. Emphasize school proximity and the backyard. Schedule for 6 pm.”
- 3:00 pm, buyer inquiry call: “Pull recent comps for 456 Oak Avenue, 2-bed, last 90 days, and draft a quick summary I can text after this call.”
- 5:45 pm, paperwork kickoff: "Email ops to prepare the lease agreement for Unit 12B. Move-in January 15, include earlier docs. CC legal and my personal alias.”
Outcomes for teams and brokerages
- Faster lead response, higher conversion: Agents reply during drive time, not hours later.
- Cleaner pipeline hygiene: Contacts, notes, and documents are captured at the moment of interaction and synced to the CRM.
- Consistent brand presence: Listings and social posts go live promptly with correct details and compliant language.
- Less burnout, more production: Admin shrinks, selling grows.
The bottom line
The Librarian turns a day spent in transit into a day of completed actions. For agents, that means less admin and more closings. For real estate companies, that means better data, better customer service, stronger brand, higher performance and ultimately better deals.