Real Estate can be challenging. You or your agents browse through thousands of spreadsheets, while trying to compare data in various files. It might be easy to miss key insights, omit crucial information and lose business. That's why automating reporting is crucial in real estate to maintain a consistent tone, personalise content for your target audience and be sure you don't miss any actionable insights. Not to mention how much time you can save thanks to automation.

In this tutorial we'll show you how to create a simple template for generating descriptions of your properties. You will be able to easily modify it to your case and data and boost your SEO.

Step 1: Upload your Data in Templates

The first step after you open app.contentyze.com is to go right to Templates on the left panel.

Make sure you have your spreadsheet data ready. That can be an Excel spreadsheet, a .csv file or any other popular spreadsheet format (let us know if you want to integrate an external database - we're happy to help).

In our example we will use a simple spreadsheet with three rows of data and 5 columns: Flat, Meters, Price/Meter, Average Rent, POS. It is a .csv file which looks like this:

00spread

You can either copy that, create a similar one for this tutorial or simply use your spreadsheet right away.

Now click on Import Data button on the right. You will be able to upload your spreadsheet and choose any additional information like a delimiter (the standard ones are: , : ; ).

0import

After you click on Import button, your data will be loaded. In our case we will see the following:

1data

Step 2: Write a Simple Template for Real Estate

Now having uploaded the data, we're ready to write a simple template.

First of all, don't worry about the Formatting - it's made for publishing articles directly to Wordpress or Twitter. As we want to download our descriptions later on to your local drive we stay with General.

We want to refer to particular positions in rows and columns. In Contentyze you can invoke particular columns by their name or '[[row_n]]' command. For example in our case I can refer to the first column by either '[[Flat]]' or '[[row_1]]'.

Let's see an example to make that clear. We're going to write

The flat on [[Flat]] has [[Meters]] square meters and costs $[[row_3]] per square meter.
The nearby POS are: [[POS]]

in the text field below

2text

Now if you click on Preview below, each of variables in double square brackets "[[...]]" will be replaced by respective values in one random row from our data.

In our case we get "[[Flat]]" replaced by "Borough Market", "[[Meters]]" by "33", "[[row_3]]" by "10000" and "[[POS]]" by "Metro, Bus" as you can see here:

3preview

You might get a different result due to randomness. The important thing is that the variables are always taken from one single row.

That's it!

You have a simple template.

You can now click on Download below Preview button to generate all texts at once. You would see the following screen after generation (that can take from a couple of seconds to multiple hours depending on how much data you have):

7download

If you click on Download on this screen, you will download a .zip file with all your descriptions.

It's that easy!

You can use these descriptions right away, but we will go one step further.

Step 3: Add AI Models to Real Estate Template

We now want to introduce even more variance. You might want to have longer texts with more varied descriptions to boost your SEO. For this scenario you can improve upon our template by adding a machine learning model.

By using Models you give away some control over the text (more randomness), but you gain more variance and SEO keywords.

We will use Summary model to generate an abstract summary of our description from template.

You can choose a model from the list:

4model

Now we're going to modify "Text..." and put there what we have written above like this:

5text_ml

So what will happen after we click on Preview is:

  • all the variables will be initiated as before to a random row.
  • model will be initiated on a given text. This text will be generated by AI from the prompt (headline) we have given. In our case we have choose a Summary model to do summarisation of the whole description.

Let's click on Preview to see what happens. In our case we got:

6preview_ml

Again the the variables were initiated to the "Borough Market" row. The last line was written entirely by AI from what we have given. There's much more randomness to the whole process so feel free to experiment.

For example you could use Summary->Extract for just take the most important sentences from what you have written (our text is too short to do that).

Also you could use General model to generate a short text from a headline you provide. The options here are endless.

In the end you still can download all the results by clicking on Download button.

Let us know about your results!

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