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Z lister is a powerful AI tool for real estate agents!
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Z list

Introduction

Z Lister is an innovative AI-powered tool designed specifically for real estate agents. It aims to enhance their workflow efficiency and boost their online visibility. The platform offers a range of features including seamless integration with Facebook Marketplace for listing posts, incorporation of Zillow reviews into agents' websites, and the ability to import For Sale By Owner (FSBO) listings directly into Customer Relationship Management (CRM) systems.

Feature

Facebook Marketplace Integration

Z Lister enables real estate agents to post their property listings on Facebook Marketplace effortlessly with a single click, expanding their reach to potential buyers.

Zillow Review Integration

Agents can easily showcase their expertise by adding their Zillow reviews to their websites, building trust and credibility with prospective clients.

FSBO Listing Import

The tool allows for direct import of FSBO listings into the agent's CRM, saving valuable time and streamlining the process of managing potential leads.

One-Click Open House Events

Z Lister simplifies the creation of Open House Facebook events, allowing agents to promote their listings quickly and efficiently.

User-Friendly Interface

Designed with simplicity in mind, Z Lister is accessible even to those without extensive technical knowledge, making it easy for all real estate agents to leverage its features.

Flexible Pricing Plans

Z Lister offers a range of pricing options to accommodate different needs and budgets, from individual agents to larger teams.

FAQ

Is Z Lister suitable for all real estate agents?

Z Lister is designed to be user-friendly and beneficial for real estate agents at all levels of technical expertise. Its features can help both individual agents and teams improve their online presence and streamline their workflow.

What are the main benefits of using Z Lister?

The main benefits include:

  1. Increased online visibility through Facebook Marketplace integration
  2. Enhanced credibility by showcasing Zillow reviews on personal websites
  3. Time-saving FSBO listing imports into CRM systems
  4. Efficient creation of Open House Facebook events

Does Z Lister offer a free plan?

Yes, Z Lister provides a free plan along with paid options for solo agents and teams, allowing users to choose the plan that best fits their needs and budget.

How can Z Lister help in attracting more leads?

Z Lister helps attract more leads by:

  • Expanding reach through Facebook Marketplace listings
  • Building trust with potential clients by displaying Zillow reviews
  • Streamlining the process of managing FSBO listings
  • Facilitating easy promotion of Open House events on Facebook

Latest Traffic Insights

  • Monthly Visits

    290.25 M

  • Bounce Rate

    55.49%

  • Pages Per Visit

    2.84

  • Time on Site(s)

    113.64

  • Global Rank

    -

  • Country Rank

    -

Recent Visits

Traffic Sources

  • Social Media:
    0.68%
  • Paid Referrals:
    0.54%
  • Email:
    0.11%
  • Referrals:
    14.58%
  • Search Engines:
    15.20%
  • Direct:
    68.89%
More Data

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Method 1: Google Colab

* Open Google Colab ([colab.research.google.com](http://colab.research.google.com))
* Create a new notebook
* Install the `transformers` library by running `!pip install transformers`
* Import the `transformers` library and load the ChatGPT model using `from transformers import AutoModelForCausalLM, AutoTokenizer; model = AutoModelForCausalLM.from_pretrained('chatgpt'); tokenizer = AutoTokenizer.from_pretrained('chatgpt')`
* Use the model to generate text using `input_text = "Your input here"; inputs = tokenizer.encode_plus(input_text, return_tensors='pt', max_length=1024, padding='max_length', truncation=True); output = model(inputs['input_ids'], attention_mask=inputs['attention_mask']); print(tokenizer.decode(output.logits[0], skip_special_tokens=True))`

Method 2: Google Apps Script

* Open Google Apps Script ([script.google.com](http://script.google.com))
* Create a new project
* Install the `transformers` library by running `npm install transformers`
* Import the `transformers` library and load the ChatGPT model using `const { AutoModelForCausalLM, AutoTokenizer } = require('transformers'); const model = new AutoModelForCausalLM('chatgpt'); const tokenizer = new AutoTokenizer('chatgpt');`
* Use the model to generate text using `const inputText = "Your input here"; const inputs = tokenizer.encodePlus(inputText, { return_tensors: 'pt', max_length: 1024, padding: 'max_length', truncation: true }); const output = model(inputs.inputIds, inputs.attentionMask); console.log(tokenizer.decode(output.logits[0], { skipSpecialTokens: true }));`

Note: These methods require some technical knowledge and may have limitations compared to the original ChatGPT model.

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