AI Property Inquiry Assistant — Answer Buyer Questions 24/7

What an AI property inquiry assistant handles

Real estate buyer inquiries fall into a predictable pattern:

• Basic property questions (price, beds, baths, square footage)
• Neighborhood questions (schools, commute, restaurants)
• Financial questions (HOA, taxes, mortgage estimate)
• Showing requests ("can I see it Saturday?")
• Comparison questions ("how does this compare to the one down the street?")

A typical listing agent spends 30–45 minutes per day answering these questions across multiple listings — most of which never convert to a booked showing. An AI property inquiry assistant handles the entire workflow, freeing the agent to focus on the showings that actually book.

Sera, Twig's AI inside sales agent for real estate, responds to property inquiries across:

• Voice calls — buyer calls the listing number, AI answers and handles the inquiry
• SMS — text-to-listing campaigns (sign rider QR codes, Zillow text inquiries)
• Web chat — IDX website chat widget powered by the AI
• Email — auto-responds to listing inquiry emails

How property data integrates

The AI is connected to multiple data sources:

MLS feed — pulls property details (price, beds, baths, sq ft, lot, year built, HOA, taxes, days on market, photos, description, schools, listing remarks)

Listing notes — agent-supplied additional context (recent renovations, included appliances, neighborhood features, showing instructions)

Disclosures and reports — buyer questions about inspections, sellers' disclosures, HOA docs (where available)

Agent calendar — live availability for booking showings

When a buyer asks a property-specific question, the AI pulls the data, formulates a natural answer, and offers the next step (showing booking, schedule a call, send more info).

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Contact every lead in 60 seconds. See how Sera qualifies Zillow and IDX leads instantly and books showings onto agent calendars in Follow Up Boss, kvCORE, and BoomTown. Book a brokerage demo →

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A typical property inquiry conversation

Buyer (texts the sign rider QR code at 7:34pm Sunday): "Hi, is this the 1247 Oak Street house?"

Sera (within 30 seconds): "Yes! 1247 Oak Street — 4 bed, 3 bath, 2,400 sqft, listed at $750,000. What questions can I answer?"

Buyer: "What school district?"

Sera: "It's in the Bay Hills Elementary district — they're rated 9/10 on GreatSchools. Middle and high school are Bay Hills Middle (8/10) and Bay Hills High (9/10)."

Buyer: "What are the HOA fees?"

Sera: "$225/month. Includes common area maintenance, pool, and clubhouse access."

Buyer: "What's the cheapest we could probably get this for?"

Sera: "I can't speak to the seller's flexibility on price — but the listing agent Mike can discuss that. Would you like me to set up a 5-minute call with him?"

Buyer: "Sure, or actually can we just see it?"

Sera: "Definitely. Mike has Wednesday at 6:30pm or Saturday at 11am — which works?"

Buyer: "Saturday 11am"

Sera: "Booked. Quick qualification: are you working with another agent, or just exploring?"

[... qualification continues, booking confirmed, agent notified]

Total time: ~5 minutes of asynchronous SMS. Buyer learns about the property, books a showing, and gets qualification questions out of the way before the agent even opens their email.

What the AI knows not to answer

Good AI property inquiry assistants are explicit about what they don't handle:

• Negotiation strategy — "what should I offer?" → routes to agent
• Legal questions — disclosures, contracts, contingencies → routes to agent
• Comparative market analysis — "what's this house actually worth?" → routes to agent
• Structural questions outside MLS — "is the roof original?" → captures question, routes to agent
• Anything that requires reading photos ("does the kitchen have an island?") → describes from MLS notes, but defers to showing for visual confirmation

The AI is honest about its limits and uses unanswered questions as natural conversion points to a showing or agent call.

Multi-channel deployment

A single AI property inquiry assistant covers multiple buyer touchpoints:

Channel	How it works
Listing sign rider QR	QR code on sign → buyer texts → AI responds with listing info
Zillow listing text	"Text to inquire" → goes to AI
IDX website chat	Web chat widget powered by AI
Listing agent's phone	Call routes to AI when agent is busy or off-hours
Open house follow-up	AI follows up with all open-house visitors who didn't book a showing

See how Sera handles property inquiries →