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Listing inquiry responder

Answers buyer questions about property listings within a minute, any time of day. It checks how serious the buyer is and offers a showing time for the agent to confirm.

SalesWorks with Claude Desktop with MCP · ChatGPT agent+2Community example

What it does

  • Answers common listing questions
  • Asks a few questions to gauge intent
  • Offers open showing times

Your approval boundaries

Approval required

These actions always wait for your yes:

  • Booking the showing
  • Any price or terms talk

You decide what happens next.

More about this workflow

This setup is for founders and small sales teams who want more time for real conversations. It takes a repeat chore off your plate and hands back something you can check quickly.

First, it answers common listing questions. Next, it asks a few questions to gauge intent. Finally, it offers open showing times. It works with your email, calendar and CRM, each on its own login with limited access.

You get the prep work done and waiting for you. The agent stops and asks for your yes before booking the showing and any price or terms talk, and says plainly if a step cannot be undone.

Taylor Hayes @TylorConversion · Sep 23, 2026
Before you startEmail · Calendar accessScoped permissionsClaude Desktop with MCP or ChatGPT agent
Explore required tools and model recommendations

Tools and access

  • Gmail

    Handles the email part of this job. Grant read-only plus compose (drafts) scopes.

    API required: Yes. Needs a Google Cloud project with an OAuth app and the Gmail API turned on. The agent signs in through OAuth with only the scopes you pick.

  • Google Calendar

    Handles the calendar part of this job. Grant read-only calendar scope.

    API required: Yes. Needs a Google Cloud OAuth app with the Calendar API turned on.

  • HubSpot CRM

    Handles the crm part of this job. Grant read scopes, plus notes write.

    API required: Yes. Needs a HubSpot private app or OAuth app with the CRM scopes you choose.

Official links only. Not sponsored, no affiliate links.

Model recommendations

Best pick

Claude Sonnet 5.5

Good balance of speed and quality for briefs and drafts.

$2 per million input tokens, $10 per million output tokens.

Anthropic docs as of October 11, 2026

Cheaper backup

GPT-6 Luna

Very low cost per token for simple research summaries.

$0.10 per million input tokens, $0.50 per million output tokens, for prompts up to 272K tokens.

OpenAI docs as of October 11, 2026

Our own picks. Not sponsored, no affiliate links.

Build your prompt

Add your details, then copy the prompt into your tool.

1Your details

Fill these in and the prompt updates as you type.

link

2Your prompt

4 of 4 still empty
Fill these in before you run it: [YOUR LISTINGS: link] [YOUR SHOWING HOURS] [WHAT COUNTS AS A SERIOUS BUYER] [WHO CONFIRMS SHOWINGS] You are the Listing inquiry responder agent. Answers buyer questions about property listings within a minute, any time of day. It checks how serious the buyer is and offers a showing time for the agent to confirm. Use only the details filled in above. If any [BRACKETED] item is still blank or unclear, stop and ask for it first. Do not guess. What you do on your own: - Answers common listing questions - Asks a few questions to gauge intent - Offers open showing times What you must never do without a yes from a person: - Booking the showing - Any price or terms talk Rules: - Before any step on the list above, stop and ask. Say in plain words what you want to do, who it affects, and whether it can be undone. - If something cannot be undone, say so first, in one short line. - Write drafts, not final actions. A person sends, pays, posts, or deletes. - Keep a short log of every action you took and every source you read. - If you are unsure, ask instead of guessing.
View run instructionsPaste into: Claude Desktop with MCP, ChatGPT agent, Zapier Agents, n8n

Your answers stay in this browser only.

Run your workflow

Connect your tools with only the access this setup needs, then follow these steps.

Steps

Do these in order. Test on old data before it touches live work.

  1. 1Connect Gmail with its own login, not yours. Grant read-only plus compose (drafts) scopes.
  2. 2Connect Google Calendar with its own login, not yours. Grant read-only calendar scope.
  3. 3Connect HubSpot CRM with its own login, not yours. Grant read scopes, plus notes write.
  4. 4Paste the prompt where your harness takes instructions. See the note under the Copy button.
  5. 5Do a dry run on old or test data first. Check every draft and every stop point by hand before you let it near live work.
  6. 6Read its log after the first real run. Only widen access once a week of runs looks clean.

Safeguards and trust score

The score describes this example setup’s access, approval boundaries, ability to undo changes, and scope.

Access18 / 30

Can draft things that send or spend, so it sits close to risky actions.

Human approval30 / 30

Waits for a yes on: booking the showing, any price or terms talk.

Undo and logs17 / 20

Leaves drafts you can throw away, with a record of what it made.

Scope16 / 20

Runs on its own login across 3 tools. Fewer connections means a smaller blast radius.

How to raise it

  • Access: Take away its ability to send, post or spend. Let it only write drafts, and have a person press send or pay from their own account +6
  • Scope: Cut it down from 3 connected tools to the 2 it needs most, each with its own limited login instead of your full account +2

Do all of these to reach 89, up from 81.

Want help getting there? Get an AI Trust Audit from Pixeldesigns

Reviewed by Trustcase (example setup). How scoring works

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