Rankshift

Query Fanouts

What are Query Fanouts 

Where to find Query Fanouts in Rankshift?

How to use Query Fanouts

Getting started

Getting started with Rankshift

How to Create a New Project in Rankshift

Understanding your metrics

Prompts

Introduction to prompts

Create prompts

Activate prompts (via scenarios)

Tagging your prompts

Finding the right prompts

Sources

Understanding sources

How to Get Your Brand Cited as a Source

Brands & Competitors

Add Competitors

Monitoring

Rankshift automatically analyzes the sentiment of AI responses to your prompts. Each response receives a sentiment label — positive, neutral, or negative — so you can instantly see how AI models are speaking about your brand or topic.

Sentiment

Brand Perception maps out which themes and associations AI models link to your brand. This way, you know not only whether people speak positively or negatively about you, but also exactly what they're saying (and per AI model).

Brand Perception

Connect your data with BI solutions like Looker Studio, Tableau, Power BI, and many more

Integrations 

Google Looker Studio

Connect to our MCP to review or leverage your Rankshift data in ChatGPT, Claude or other tools.

The Rankshift MCP connects your AI assistant to Rankshift analytics. 

MCP Server [OVERVIEW]

Step-by-step setup to connect the Rankshift MCP server to Claude and ChatGPT, using OAuth in 5 minutes.

Installation

Terminology

MCP Prompt Library

Best practices

Connect to our REST API to review all your collected data

API documentation

REST-API for BI

Account

Manage your credits

FAQs

Why is my visibility zero?

How can we help you?

Help Center

Improved

Fixed

rankshift

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Planned

In Progress

Completed

Rejected

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Backlog

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Main Roadmap

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