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What is Brand Radar, and how do you use it?

Learn how you can use Brand Radar to analyze brand or entity mentions in AI, Search, Videos, and beyond

Written by Constance Tan
Updated today

What Is Brand Radar

Brand Radar is an Ahrefs tool that tracks how brands, products, and entities appear across AI platforms, search engines, web pages, and emerging channels. It draws from a database of over 250 million prompts to give you a comprehensive picture of where your brand shows up across the digital online landscape, and what sources algorithms and AI models pick to generate their answers.

Tip: Watch the full Brand Radar Course on Ahrefs Academy for a video walkthrough of every feature.

What data it Tracks

Brand Radar monitors visibility across seven channels, each representing a different way people discover brands today.

AI Platforms

  • AI Overviews & AI Mode — AI-generated answers that appear directly in Google search results

  • ChatGPT — Responses from OpenAI’s conversational assistant

  • Perplexity — AI-powered search engine with cited sources

  • Gemini — Google’s conversational AI

  • Copilot — Microsoft’s AI assistant

These platforms were prioritized based on Ahrefs’ research into which AI sources drive the most traffic to websites.

Search & Web

  • Search Demand — How often people search for your brand or related terms

  • Web Visibility — Mentions of your brand across web pages with content. Content Explorer shares the same database

Emerging Channels (Beta)

YouTube — Brand mentions in video content

Reddit — Visibility within Reddit threads that appear in SERPs

TikTok — Brand presence in short-form video

Note: Indexes in beta are free for all subscribers to Lite or higher plans. When an index exit beta, they will be an additional chargeable add-on.

Custom prompts

Create custom prompts and track how AI platforms respond to them. This is ideal for monitoring specific questions relevant to your niche.

Learn more about custom prompts and how they work in this article.

How is Brand Radar Different?

Advantages of Brand Radar AI

View data across 320M+ search-backed prompts

Brand Radar allows you to check AI responses for 320 million search-backed prompts across 6 AI platforms. These are derived from People Also Ask questions data in real search queries, so the prompt data mirrors what people are actually looking for, not what a researcher thinks they might ask.

No prior setup required to immediately view brand mentions in AI responses

Searching for any brand or entity name and Brand Radar can be done immediately upon purchasing Brand Radar's AI platforms. You'll be able to view how AI responded across millions prompts, and how they've changed over time, even before the day you purchased Brand Radar.

Analyze unlimited domains for AI visibility

There is no cap on the number of brands or domains you can analyze. You can examine competitors, track a portfolio of products, or run ad-hoc research on any entity without hitting a limit.

Advantages of Custom prompts

Affordable payment structure for tracking custom prompts

Tracking custom prompts uses up a limit called "Checks". Reducing the frequency that AI is prompted, will reduce the checks consumed. Pay based on how regularly you check AI, rather than the number of prompts alone.

How to Use Brand Radar

How to set up a Brand Radar Report

Enter in Brand names for both you and your competitors. Add websites to each brand to track how often they get cited by AI.

Multiple brands can be added for both you and your competitors:

Once your setup is ready, click on "Explore" to view the report.

How to create a saved report in Brand Radar

Creating a saved report in brand radar allows you to save all the brands and filters you've used to be reviewed again later. It also allows you to track custom prompts.

Once you’ve applied filters and configured the view you want, click on "Save report" in the sidebar, and click on "Create report":

Saved reports can also be shared with other users in your workspace.

Navigating the Overview report

The Overview report is the default landing view for any entity you analyze. It summarizes performance across all tracked channels in a single screen. View how your brand stacks against its competitors across key metrics: Share of Voice, number of mentions, citations, and impressions:

View how a brand performs across all key metrics over time, or compare how multiple brands' perform over time for a single metric:

From here, you can navigate to more specific reports of these brands:

  1. AI visibility

  2. Search demand

  3. Web visibility

  4. Video visibility

  5. SERP visibility

Using filters

Filters let you narrow Brand Radar data to exactly the slice you need. They are accessible from the filter bar at the top of any report.

Multiple filters can be stacked to hone in on very specific results:

Select a specific date to see data from an earlier time in history:

Sorting Results

Result tables within each report can be sorted by different metrics. In AI visibility reports for example, you can sort by Relevance (responses with more mentions of your entity appear first) or by Search Volume (highest-traffic queries appear first).

Creating Brand radar widgets using Report Builder

Create live, custom reports by combining Brand Radar charts and widgets with other supported widgets in the Ahrefs Reports Builder tool:

Pulling Brand Radar data from Ahrefs MCP or API directly

You can pull data from Brand Radar using API. Any report whose data can be pulled via API will have this API button:

You can click on to see information on how to make the API request, and how many units it would cost per row to return the results.

Full information about the Brand Radar API can be found here.

Where the Data Comes From

Ahrefs extracts People Also Ask questions from keyword queries in its keyword index, then enters those questions into the web version of each AI chatbot using the default model.

How Fresh Is the Data

Different indexes update at different frequencies. Understanding this helps you set the right expectations for how often to check your reports.

Index

Update Frequency

Search Demand

Every few days (matches Keywords Explorer)

Web Visibility

Every few minutes (matches Site Explorer)

AI Overviews

Every few days (matches Keywords Explorer)

AI Chatbots (ChatGPT, Gemini, etc.)

Once a month

Historical Data Range

Index

Data Available From

Search Demand

2015

Web Visibility

2013

AI Overviews

August 2024

AI Chatbot Sources

May 2025

YouTube

December 2023

TikTok

December 2024

Reddit (SERP visibility)

2015

What It Costs

All prices below are in USD and may vary slightly by region.

Single, or all Platform Access

Single platform: $199/month per index

All platforms: $699/month (includes 2,500 custom prompt checks/month)

Custom Prompt Tracking Tiers

Basic

Growth

Scale

Monthly cost

$50

$100

$250

Included checks

2,500

7,000

25,000

Overage per check

$0.020

$0.015

$0.010

Overage charges apply only after included checks are used for the month. Higher tiers offer lower per-check overage rates.

Plan Requirements

Feature

Required Plan

Search Demand

Starter and above

Web Visibility

Standard and above

AI Indexes (ChatGPT, Gemini, etc.)

Brand Radar AI Add-on (any paid plan)

Beta indexes

Free on any paid plan

How to Purchase

New Users

Click on Sign up for Brand Radar directly on https://ahrefs.com/brand-radar and pick a plan of your choice.

Existing Subscribers

Navigate to Account Settings → Billing → Subscription. You’ll see a list of available add-ons. Select the Brand Radar indexes or custom prompt tracking purchase option you want to add to your subscription.

Frequently Asked Questions

How is the data for AI/LLM Search data sources from different countries collected?

Prompts are entered in each respective AI platform (ChatGPT, Gemini, etc.), in the same location as the keyword that it was sourced from, ensuring location-appropriate responses.

Does the tool take into account personalization? / How do you handle that prompts trigger different AI overviews for different users

Prompts are asked in the web version of all AI platforms that we support without any stored user data or prior context. No normalization, personalization, pre-prompting, or filtering is applied; responses are captured as a typical user would see them.

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