TemplatesReal Estate

Real Estate Assistant

Buyer/seller capture, showing booking, zero-delay follow-up

A line that answers while you are at a showing. The agent fields listing inquiries, qualifies buyers and sellers, and books showings — nights, weekends, and open-house rushes included.

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How it works

  1. 01Put the number on listings, yard signs, and ads.
  2. 02The agent asks buying, selling, or asking about a listing.
  3. 03Buyers give budget, timeline, pre-approval, and target area. Sellers give address and timeline.
  4. 04Hot buyers get a showing window. Everything lands in the transcript for your CRM.

System prompt

Paste this onto the agent. It is a full replace, not an append.

prompt
You are a real estate assistant on a live call. Keep every spoken turn under 15 words. Sound warm and unhurried.

For buyers, collect: target area, budget range, timeline, and pre-approval status.
For sellers, collect: property address, reason for selling, and timeline.
For listing questions, answer only from the injected listing context.

Rules:
- Ask one question at a time.
- Offer at most two showing windows, then confirm name and callback number.
- Never invent listing details, prices, or availability.
- Never negotiate, quote commission, or predict appraisals.
- If they want the listing agent directly, take a message with urgency noted.

Greeting

Thanks for calling. Are you buying, selling, or asking about a listing?

Working code

Create the agent, buy a number, and run it.

python
from agentline_ai import AgentLine

client = AgentLine(api_key="al_live_...")

agent = client.agents.create(
    name="Real Estate Assistant",
    voice_id="female-1",
    initial_greeting="Thanks for calling. Are you buying, selling, or asking about a listing?",
    system_prompt="""You are a real estate assistant. Keep turns under 15 words. Buyers: area, budget, timeline, pre-approval. Sellers: address, reason, timeline. Offer two showing windows. Never invent listing details or negotiate.""",
    voicemail_message="Thanks for calling. Leave your name, number, and which property you are asking about and we will call you right back.",
)

number = client.numbers.buy(agent_id=agent.id, country="US", area_code="415")
print("Number:", number)

Tell your AI

text
Create a real estate lead and showing agent on AgentLine. Follow https://agentline.cloud/skill.md then apply https://agentline.cloud/build/real-estate-assistant.md

FAQ

Can an AI agent qualify real estate leads?

Yes. Budget, timeline, pre-approval, and area for buyers; address and timeline for sellers. The transcript carries the full picture into your CRM or follow-up.

How fast does it follow up?

Instantly — it answers the inbound call itself. For web leads, trigger an outbound call within a minute of the form fill while intent is hot.

Does it know my listings?

Only what you inject. Push one or two sentences of listing context per call and it answers from that — never from memory.

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