Beginner’s guide

Welcome to Rankshift. This guide will walk you through the basics of setting up and using Rankshift.

Whether you want to monitor how often your brand is mentioned in chatbot answers, compare yourself to competitors, or explore where you stand in different markets — we’ve got you covered.

Tips for getting the most out of your free trial

  • Try to use all 700 credits during your 7-day free trial to collect as much data as possible.
  • Add your own brand, but don’t forget to include multiple competitors for better comparison.

Getting started with rankshift

Once you log in, you’ll arrive on the main dashboard — your starting point for setting up and tracking your brand.

Step 1: add your brand and a few competitors

First, go to the sidebar and click on “Brands”.

Once you’re on the Brands tab, click the “Add” button.

Start by adding your own brand, then add a few competitors you’d like to track.
This will help you compare visibility and get a better sense of your position in the market.

After clicking “Add”, you’ll see a form to fill in.

  1. Brand Name
    This is the name Rankshift will track on chatbots and display on your dashboard.
    If your brand name is a common word (like “Apple”), you can check the “Case sensitive” option — this makes a distinction between Apple and apple.
  2. Brand Relationship
    Choose whether this is your own brand or a competitor. This helps Rankshift categorize the data correctly.
  3. Domain
    Enter your website’s domain to display your favicon on the dashboard.

This should look something like this.

Step 2: Set up your prompts

Once you’ve added your competitors, go to the Prompts tab in the sidebar.

Click the “Add” button to start creating the prompts you want to track.

💡 Prompts are the questions or phrases you want to test in AI chatbots — for example, “What’s the best CRM for small businesses?” or “Name a few leading logistics companies.”

Here you can add the prompts you want to track.

Use tags to group or categorize them — for example by product type, topic, or region.

You can also toggle the “Advanced Settings” button.

This gives you the option to track results from a specific country, region, or even city.

It’s useful if you want to see how answers vary across different locations.

Which should look something like this when filled out.

After adding prompts, click the Analyze button next to a prompt to view detailed results.

There isn’t much to see here yet — the prompt still needs to be processed by the chatbots.

Once results start coming in, you’ll see:

  • Your brand’s visibility for this prompt
  • Share of voice: the percentage of total mentions your brand has compared to competitors
  • A dynamic widget that gives you insights to improve your visibility for this prompt
  • The most frequently used sources in the chatbot answers for this prompt

This is what it will look like over time, once the program starts running.

Below the statistics widgets, you’ll find all the latest chats from the selected AI models.

You can download these results for your own analysis using the Export CSV button.

Step 3: Create a persona

Personas are user profiles that influence the context and responses of AI.

You can create your own personas to measure and analyze how responses differ between various user profiles.

Go to the Personas tab in the sidebar.

Click the “Add” button to create a persona.

When you clicked Add, you’ll see this screen. 

Here, you can fill in a name for the persona — this is for personal reference, so just choose something you’ll easily recognize.

In the description field, add any relevant information about the persona.

Step 4: Create a scenario

Once you’ve added your brands, created prompts, and set up personas, it’s time to create a scenario.

Scenarios help you manage your credit usage efficiently.

Keep in mind: your prompts won’t run without a scenario.

Go to the Scenarios tab in the sidebar.

Click the “Add” button to create a new scenario.

Here, you’ll need to give your scenario a name.

Next, you can choose which prompts to track.

If your prompts have tags, you can use them to filter and easily find the ones you want to include.

After that, you’ll do the same for personas.

Now you can enable the models you want to track.

Each model has a different running cost — typically between 5 and 10 credits per prompt, depending on whether it includes web search.

On the right, you can also see the monthly cost for running each model.

Now you can choose how often you want your scenario to run.

You can set it to run daily, weekly, or monthly, and specify how many times it should run within that time frame.

Keep in mind: the frequency you choose will affect the monthly credit cost.

The Dashboard

Once your scenarios are up and running, your dashboard will start to come to life.

You can change the timeframe by clicking the date selector in the top left.