# n8n Showing Feedback Agent FAQ: Real Estate Setup > Plain answers about an n8n AI agent that turns buyer agents' showing feedback into one row per showing in Google Sheets for the weekly seller update. Source: https://learn.ynteractive.com/content/blog/n8n-showing-feedback-agent-faq · Updated 2026-10-21 · Free from Stepthrough (https://learn.ynteractive.com) Quick answer An n8n showing feedback agent takes the feedback buyer's agents send after showings, in texts, emails and quick calls, and turns each showing into a row in a Google Sheet: the date, the buyer's agent, an interest level of High, Some, None or Unclear, what was said about the price in their own words, and the next step. It records only what was said and never recommends a price change. The free [n8n showing feedback lesson](https://learn.ynteractive.com/content/n8n-ai-agent-real-estate-showing-feedback) builds it step by step in about 12 minutes, on practice copies of n8n, [OpenAI](https://learn.ynteractive.com/content/glossary/openai) and Google Sheets. Last updated October 21, 2026 [Take the free module →](https://learn.ynteractive.com/courses/ai-for-real-estate/11)Module 11 of the free [AI for Real Estate](https://learn.ynteractive.com/courses/ai-for-real-estate) course, about 12 minutes. No account needed. By [Robert Breen](https://learn.ynteractive.com/content/about) · Published October 21, 2026 · Updated October 21, 2026 · 5 min read n8n · Real Estate · AI agents · Google Sheets · FAQ The example is made up. Meridian Realty Group is a made-up brokerage, 14 Orchard Lane is its made-up listing, and every agent and comment is made up too. The practice needs no n8n, OpenAI or Google account, nothing is billed and no workflow is published. This is our own lesson, not an official n8n course. ## What does the showing feedback agent do? You paste in the week's feedback for a listing. In the lesson, three buyer's agents report on 14 Orchard Lane, and the agent returns three entries: 1. **Oct 14, Dana Ruiz, Keystone Homes.** Interest: **Some**. Price feedback: "About $15,000 high." Follow-up: the buyers liked the kitchen and yard but worried about road noise; ask Dana if anything would change their mind. 2. **Oct 15, Marcus Hill, Hill & Co.** Interest: **High**. Price feedback: None given. Follow-up: a second showing, and his buyers plan to write an offer this week; send Marcus the roof age today. 3. **Oct 15, Priya Shah, Open Door Realty.** Interest: **None**. Price feedback: None given. Follow-up: not a fit, because her buyers need four bedrooms; no follow-up needed. Then you type "Yes, save those to the sheet" and it writes all three rows to the **Showing Feedback Log** spreadsheet, ready for the weekly seller update. The comment that matters most, a buyer about to make an offer, is flagged instead of buried. ## How is the agent built in n8n? The lesson follows the same path you would take in your own n8n: 1. **Sign up and get a key.** Start at n8n.io with **Get started free**. On platform.openai.com, add credit, then create a secret key and copy it. 2. **Add a chat trigger.** Click **Create workflow**, then **Add first step…** and pick **On chat message**. 3. **Add the AI Agent.** Click the **+** on the trigger, open **AI** and pick **AI Agent**. 4. **Give it its orders.** Click **+ Add Option**, choose **System Message** and paste the [system prompt](https://learn.ynteractive.com/content/glossary/system-prompt). 5. **Give it a model and memory.** Add **OpenAI Chat Model** with your key, pick **gpt-5-mini**, then add **Simple Memory**. 6. **Give it the Sheets tool.** Add **Google Sheets Tool**, sign in with Google, choose **Append Row**, pick the sheet and map each column. 7. **Test it.** Click **Open chat**, paste the feedback, read the entries, then ask it to save them. The standing instruction is the [system prompt](https://learn.ynteractive.com/content/glossary/system-prompt). If you are new to agents in n8n, the [n8n AI agent tutorial](https://learn.ynteractive.com/content/blog/n8n-ai-agent-tutorial) explains the parts in more depth. ## Try it free, step by step **Build an n8n AI Agent That Turns Showing Feedback into a Seller Update**. Build an AI agent in n8n for Meridian Realty Group that turns buyer agents’ showing feedback into one row per showing in Google Sheets, with interest, price feedback and the next step, so the weekly… You do every step yourself in a practice copy of n8n, it checks your work as you go, and “Do it for me” finishes any step you get stuck on. Free, and nothing touches your real accounts. [Start the free lesson](https://learn.ynteractive.com/modules/real-estate-showing-feedback-agent) [Or read the full step-by-step guide](https://learn.ynteractive.com/content/n8n-ai-agent-real-estate-showing-feedback) ## Why won't the agent suggest a price change? Because the system [prompt](https://learn.ynteractive.com/content/glossary/prompt) says not to. It says to record only what was said, not to guess what a buyer will offer, and not to recommend a price change: the listing agent and the seller decide that. "About $15,000 high" is one buyer's agent's opinion, so the log keeps it in their words, in quotes. The price conversation stays with you and your seller. The prompt also names its audience: the listing agent, who reads every entry before sharing anything with the seller. The agent saves you the hour of pulling feedback together; it doesn't speak to the seller for you. ## Key takeaways - One showing, one row: date, buyer's agent, interest, price feedback and follow-up. - Price comments are quoted in the buyer's agent's words, or "None given". - The agent never recommends a price change or guesses an offer. - Vague or mixed feedback is marked **Unclear**, with the reason. - Keep buyers' names, phone numbers and personal details out of what you paste. ## Frequently asked questions **What columns does the Showing Feedback Log need?** Five, in row 1: **Date** in A1, **Buyer's agent** in B1, **Interest** in C1, **Price feedback** in D1 and **Follow-up** in E1. They match exactly what the system prompt tells the agent to return. In the Sheets tool, click the **✦** button next to each one under **Values to Send** so the model fills them in. **What do the interest levels mean?** The prompt gives four: **High**, **Some**, **None** and **Unclear**. In the lesson, a buyer planning an offer is High, buyers who liked parts of the home but had a worry are Some, and buyers who need a bedroom the home doesn't have are None. If feedback is vague or mixed, the agent uses Unclear and says why. **Does the log include the buyers' names?** No. The prompt says never to include buyers' names, phone numbers or personal details. The Buyer's agent column holds the agent's name and brokerage only. **Can I share the sheet with my seller?** That is what it's for, after you read it. The lesson's finish screen says to read every row before you share the sheet. Follow your brokerage's rules on what you share with sellers. **Why does the agent need memory?** Without memory, every message starts from nothing, and it wouldn't know which showings "save those" means. **Simple Memory** keeps the recent conversation in n8n; the defaults keep the last 5 messages. **Does it work for more than one listing?** Yes. The same workflow works for every listing: paste the week's feedback, check the rows, share the sheet. Say which listing the feedback is for, as the lesson's prompt does with 14 Orchard Lane. **What does it cost to run?** You pay OpenAI for each request you send, not a flat monthly fee. New n8n accounts include free credits too: pick **Gateway credits** on the model step. Check n8n's and OpenAI's pricing pages for current plans. **What do I need to build it for real?** An n8n account (the cloud trial or self-hosted), an OpenAI API key with a little credit, and a Google account for the sheet. The [n8n docs](https://docs.n8n.io/) cover each node. **Are there other real estate lessons?** Yes. In the same course, [answer anxious buyers without overpromising](https://learn.ynteractive.com/content/chatgpt-reply-to-buyer-emails-real-estate-agent) or write [listing descriptions and posts in your voice](https://learn.ynteractive.com/content/chatgpt-listing-descriptions-in-your-voice-real-estate). For more automations, see [n8n workflow ideas for real estate](https://learn.ynteractive.com/content/blog/n8n-workflow-ideas-for-real-estate). **What goes wrong most often?** Pasting buyers' details, letting the agent comment on price, and wiring slips like the Sheets node left on reading rows. See [n8n showing feedback agent mistakes](https://learn.ynteractive.com/content/blog/n8n-showing-feedback-agent-mistakes). ## Free lessons in this post - [Build an n8n AI Agent That Turns Showing Feedback into a Seller Update](https://learn.ynteractive.com/content/n8n-ai-agent-real-estate-showing-feedback): Build an AI agent in n8n for Meridian Realty Group that turns buyer agents’ showing feedback into one row per showing in Google Sheets, with interest, price feedback… ## Watch it in a free lesson: n8n AI Agent Tutorial: Save Social Media Ideas to Google Sheets ### AI Social Media Idea Agent: video walkthrough Full walkthrough · 8:07 · with captions Build an AI agent for BrightPath Marketing that generates social media post ideas and saves them to Google Sheets — chat trigger, AI Agent, system prompt, model, memory, and the Sheets tool. The whole lesson narrated step by step, recorded in Stepthrough’s simulated practice environment. [Watch it with chapters and the full transcript](https://learn.ynteractive.com/content/n8n-ai-agent-tutorial-google-sheets#watch) From the free lesson [n8n AI Agent Tutorial: Save Social Media Ideas to Google Sheets](https://learn.ynteractive.com/content/n8n-ai-agent-tutorial-google-sheets) ## Related terms Plain-English definitions, each with an example from a free lesson. [OpenAI](https://learn.ynteractive.com/content/glossary/openai) · [System prompt (system message)](https://learn.ynteractive.com/content/glossary/system-prompt) · [Prompt](https://learn.ynteractive.com/content/glossary/prompt) · [A/B testing](https://learn.ynteractive.com/content/glossary/ab-testing) · [AI agent](https://learn.ynteractive.com/content/glossary/ai-agent) · [API key](https://learn.ynteractive.com/content/glossary/api-key) · [Append row](https://learn.ynteractive.com/content/glossary/append-row) · [Buyer persona](https://learn.ynteractive.com/content/glossary/buyer-persona) [The full AI glossary](https://learn.ynteractive.com/content/glossary) ## Related prompts - [Case study interview questions prompt](https://learn.ynteractive.com/content/prompts/case-study-interview-questions-prompt): Plan a client interview that gets a case study's before, during and after story in their own words, with follow-up probes and… - [Email subject lines prompt](https://learn.ynteractive.com/content/prompts/email-subject-lines-prompt): Get ten honest subject lines for a finished email, each with preview text and a character count, grouped by approach so you can… - [SEO meta description prompt](https://learn.ynteractive.com/content/prompts/seo-meta-description-prompt): Write short search-result descriptions for your web pages: what the page offers, who it is for and one reason to click, inside… - [Social post ideas prompt](https://learn.ynteractive.com/content/prompts/social-post-ideas-prompt): A four-part ChatGPT prompt for social post ideas built on your services and real customer questions: platform, hook and call to… [All free prompt templates](https://learn.ynteractive.com/content/prompts) ## Keep reading - [n8n Showing Feedback Agent: 9 Mistakes to Avoid](https://learn.ynteractive.com/content/blog/n8n-showing-feedback-agent-mistakes): Mistakes that hurt an n8n showing feedback agent for listing agents, from price advice and buyers' names to mismatched columns and missing memory. - [n8n Law Firm Time Entry Agent FAQ: Setup and Rules](https://learn.ynteractive.com/content/blog/n8n-law-time-entry-agent-faq): Plain answers about an n8n AI agent that turns a lawyer's rough notes into time entries in Google Sheets, with hours exactly as written. - [n8n Certificate of Insurance Agent FAQ: Setup, Rules](https://learn.ynteractive.com/content/blog/n8n-certificate-request-agent-faq): Plain answers about an n8n AI agent that logs certificate of insurance requests in Google Sheets and sends endorsement requests to the account manager. 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