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AI Brand Visibility Insights: See How LLMs Talk About Your Brand
Curious what ChatGPT and other LLMs say about your brand? Find out with Advanced Web Ranking’s AI Brand Visibility feature.
Online search is evolving fast. AI-powered search engines are reshaping how people discover and interact with information online. Traditional search, once the primary gateway to websites, is no longer the sole focus, as large language models (LLMs), such as ChatGPT, are gaining ground quickly.
According to this article, 80% of consumers now resolve 40% of their online queries without clicking any links, thanks to AI-generated summaries and LLMs.
This trend is already impacting SEO performance and digital strategy. Many businesses have noticed drops in traffic towards their websites as users rely more and more on LLMs and less on traditional search engines to get answers or make decisions, all without visiting a website.
Brands that focus only on ranking in traditional search engines like Google or Bing now need to shift attention to what AI platforms say, suggest, and prioritize. As more users turn to chatbots for quick, conversational answers, understanding how brands show up in these AI-driven search engines is no longer optional; it’s an essential step for staying visible and relevant.
This is where Advanced Web Ranking’s new AI Brand Visibility feature comes in. It is designed to help you understand how brands are being surfaced in LLM-generated results, across four of the most widely used AI search engines: ChatGPT, Perplexity, Claude, and Gemini.
You can now see the topics most often linked to your brand’s niche, who else is getting attention alongside you, and how visible or relevant you appear in comparison. It’s your window into what AI is saying about your brand, and how often.
What this article covers
Brands AI Visibility – see how your brand performs across topics and LLMs using key metrics like Market Share, Mentions, Visibility, and Average Rank.
Topics AI Visibility – understand which topics are tied to your brand, how strong your presence is, and the intent behind them (e.g., informational, commercial).
Topic Overlap & Sentiment analysis – see which topics your brand shares with competitors and how frequently you overlap, along with how your brand is described in AI-generated responses (positive, negative, or neutral).
Running AI updates – learn how to trigger your first update by choosing between default and custom setups, or how to edit or stop a scheduled update.
Unit usage & availability – see what factors influence unit consumption and how the AI Brand Visibility feature fits into your AWR plan.
Brands AI Visility report
For each LLM you selected when triggering the AI visibility update, AWR retrieves the first 10 topics and the top 10 brands mentioned with each topic. You can view this data split by LLM and topic combination. Filters are available, allowing you to analyze data for:
All topics, which include automatically AI topics + any custom topics you've added
AI topics, which include automatically retrieved topics
My topics, which include the custom topics chosen during the update setup.
Individual topics, which allow analyzing data for one topic at a time.
In the Brands report, you will find several metrics that show how often a brand (you or a competitor) shows up, how high it was positioned, and how it compares to others.
Market Share KPI
The share of all occurrences attributed to a specific brand, relative to the total brand occurrences found across the selected LLM, topic (or set of topics), and date range. This value is averaged over the selected date range and reflects how frequently a brand is associated with the selected topics, regardless of its exact rank in the top 10.
The Market Share KPI also shows the total number of brands featured on the selected LLM across each topic (or set of topics) and date range. The top brands are sorted in descending order by their market share value. The main website of the project (your brand) is also always featured in the KPI, regardless of whether it is or is not in the top 10.
Clicking on the Market Share KPI will open a chart, which you can use to check the market share value recorded by each top 10 brand across each update completed in the selected date range, based on which the averaged market share values in the KPI are based.
Mentions KPI
The total number of times each brand appeared on the selected LLM for the chosen topic (or set of topics) and date range.
The Mentions KPI also shows the total number of brands featured on the selected LLM across each topic and date range. The top brands are sorted in descending order by their number of occurrences. The main website of the project (your brand) is also always featured in the KPI, regardless of whether it has appeared or not in the top 10.
Clicking on the Mentions KPI will open a chart, where you can check the number of mentions each brand has across each update completed in the selected date range.
Brand Visibility KPI
The Visibility percentage assigned to a brand based on its top 10 ranks for the selected LLM, topic (or set of topics), and date range. Each rank is weighted (e.g., 1st = 100%, 2nd = 90%, … 10th = 10%), and the visibility score is calculated by averaging these weighted values across all updates within the selected date range. The final score reflects how prominently the brand appears in AI-generated results.
The brands are sorted in descending order by their visibility value. The main website of the project (your brand) is also always featured in the KPI, regardless of whether it is or is not in the top 10.
Clicking on the Brand Visibility KPI will open a chart, which you can use to check the visibility values each brand recorded across each update completed in the selected date range, based on which the averaged values in the KPI are based.
Average Rank KPI
The average rank of a brand across the selected LLM, topic (or set of topics), and date range. Lower values indicate better visibility and a stronger presence. The brands are sorted in ascending order by their average rank value. The main website of the project (your brand) is also always featured in the KPI, regardless of whether it is or is not in the top 10.
Clicking on the Average Rank KPI will open a chart, which you can use to check the rank values each brand recorded across each update completed in the selected date range, based on which the averaged values in the KPI are based.
The same data is also visible in the table below the KPIs, but expanded to include all brands for the selected LLM and topic (or set of topics), not just the top 10. These table metrics - Visibility, Average Rank, Mentions - work the same way but provide full transparency across every brand in the dataset.
The Visibility and Average Rank values displayed for each brand are averaged from all values recorded during each update performed in the selected time range. The Mentions column shows the total number of times each brand had been mentioned in the selected time range.
You’ll also find in the table the Sentiment column, showing whether the brand is described in positive, negative, or neutral terms.
Topics AI Visibility report
The Topics Report flips the lens: instead of focusing on brands, it focuses on topics. You can analyze which topics are tied to your brand and search intent behind them, how strong your presence is within them, and how your competitors are positioned.
Topics Visibility KPI
The percentage of visibility a brand earns based on its rank across the top 10 topics retrieved from the selected LLM. This value is computed for the latest date in the selected range. It reflects how prominently the brand appears within those topics.
Topics Average Rank KPI
The average rank of a brand among the top 10 topics retrieved from the selected LLM. This value is computed for the latest date in the selected range.
Search Intent KPI
The purpose behind the topics retrieved from the selected LLM for the chosen brand. It also shows the total number of topics retrieved and a breakdown by the type of intent — navigational, informational, commercial, or transactional — behind these topics. The values are computed across the entire selected date range.
Topic Overlap KPI
Visual representation of shared topics between your brand and selected competitors. It shows how much your brand’s coverage intersects with others, based on the topics retrieved from the selected LLM over the chosen date range.
Hovering over the intersections allows you to see the number of shared topics, total topics on which each brand is associated, alongside the list of common topics.
The table includes the following column metrics:
Topic Visibility
The percentage of visibility the selected brand earns based on its rank across each topic retrieved from the selected LLM. This value is averaged across all the updates completed in the selected date range.
Average Rank
The average rank the selected brand has across each topic, retrieved from the selected LLM. This value is averaged across all the updates completed in the selected date range.
Mentioned
Shows whether the brand was mentioned when the LLM was asked by AWR about this topic.
Search Intent
The purpose behind each topic retrieved from the selected LLM for the chosen brand, and how it changed over time.
How to start, customize, or stop an AI Visibility Update
To run your first AI Brand Visibility update, head to either the Brands or Topics report and click Start Tracking.
You’ll see two options:
Default update: Tracks ChatGPT only, for the main website of your project. It follows a predefined weekly schedule. The first update runs shortly after setup, and future updates will always run on the same weekday as when AI tracking was started. For example, if tracking begins on a Tuesday, all scheduled updates will run on Tuesdays.
Custom update: You can choose the LLMs to track, select your competitors, define custom topics, and choose how often the update should run (daily, weekly, biweekly, or monthly).
To edit a scheduled AI update (e.g., by adding more search engines for tracking) or stop it altogether, simply open the configuration wizard by clicking the Update Settings button, available in both the Brands and Topics reports.
While in the Update settings wizard, you can make any changes you need: add or remove search engines, topics, or websites, or switch the update frequency to Pause to stop ongoing AI updates. When you're done, just click Save to apply your changes.
How many units are required for an AI Visibility update
Unit usage for AI Brand Visibility updates depends on several factors, much like ranking or difficulty updates in AWR. The number of keyword units required depends on several factors, including how many AI search engines you choose to track, whether you include competitors or custom topics, and how often updates are scheduled.
The more search engines, competitors, or topics you include, and the more frequently updates are set to run, the higher the unit usage will be.
The configuration wizard will always display the exact number of units required for your setup when you trigger a new AI Brand Visibility update. This makes it easy to review and adjust before confirming your setup.
Feature Availability
The AI Brand Visibility feature is available in all AWR plans, as long as the updates stay within the number of units included in the selected plan. Trial users can only run updates for ChatGPT and their main website.
Do you have any further questions or need more information about this product update? Don't hesitate to get in touch with our dedicated support team.
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