Analyze your tracking results

Top filter bar

• Time range: View data from different periods, such as the last 7 days or the last 30 days.
• Region: Filter brand performance by country or region.
• Topic: Focus on performance under a specific topic.
• Platform: Filter data by AI platform, such as ChatGPT or Perplexity.

The filter you should pay most attention to: prompts

• All prompts: Shows all data and is best for an overall view.
• Prompts with brand terms: Shows prompts that include your brand name, such as “How does Dageno compare with competitors?” This data shows how AI responds to and evaluates your brand when users already know it.
• Prompts without any brand terms: Shows queries where users do not mention any brand, such as “What is the best AI search analytics tool?” This data shows whether AI will mention your brand when users do not know you yet. It is a better indicator of your real market influence.

Understand your Visibility dashboard

The Visibility dashboard is the core page for understanding your brand’s overall performance in AI responses. It shows real time comparisons between your brand and competitors across four dimensions: Visibility, AI Mentions, Share of Voice, and Average Position. The topic visibility ranking also helps you quickly identify which business areas are performing stronger or weaker.

The main purpose of this data is to help you answer two key questions:

• When potential customers ask AI questions, will AI recommend your brand?
• Compared with competitors, where does your brand stand?

General actions

Before reviewing each module, there are two interaction patterns used across the page. Understanding them will help you use the dashboard more efficiently.

Two comparison views in line charts

All line charts on this page support two views:

• Comparison off: View the trend change between your brand’s current period and previous period to understand whether performance is improving.
• Comparison on: Display trend lines for your brand and all competitors at the same time, so you can compare gaps and movement.

Jump actions in ranking tables

Each module on the right includes a related ranking table:

• Click any competitor name to go directly to that competitor’s detailed Visibility analysis page.
• Click More at the bottom to open the full ranking page and compare all competitors across core metrics in one table.

Visibility

Visibility measures the percentage of AI responses that mention your brand.

What to watch for

• Visibility keeps declining: Competitors may be taking your exposure opportunities. Go to the diagnosis center for specific content optimization suggestions.
• A competitor has much higher Visibility than you: Click that competitor to review its detailed performance and understand where the gap comes from.
• Visibility fluctuates significantly: Switch the time range to investigate possible causes. Common reasons include AI model updates, competitor content changes, or changes to your own website content.

AI Mentions

AI Mentions measures how often AI directly names your brand in its responses.

The difference between Visibility and AI Mentions is that Visibility tells you whether your brand is mentioned at all, while AI Mentions helps you further observe how AI presents your brand in the answer.

What to watch for

• Visibility is high, but AI Mentions are weak: Your brand may appear in responses, but it is not being highlighted or strongly recommended by AI. Go to the diagnosis center to understand specific optimization directions.
• AI Mentions keep declining: Competitor content may be cited or surfaced by AI more often. Review the quality and coverage of your website content.

Share of Voice

Share of Voice measures your brand’s share of all brand mentions. It helps you understand whether AI discusses your brand or your competitors more often under similar topics. A higher share means your brand has a stronger competitive presence in relevant AI responses.

What to watch for

• Share of Voice declines: Competitors may be capturing more AI attention. Review the topic visibility ranking to find which business direction has lost the most ground.
• Share of Voice is far lower than competitors: Click a competitor to review its detailed performance and understand where the gap comes from.

Average Position

Average Position measures the average position where your brand appears when it is mentioned in AI responses. It reflects your narrative priority in AI answers. A smaller number means a higher position. Ranking first means your brand is mentioned before other brands and is more likely to capture user attention early.

What to watch for

• Your brand keeps appearing later in AI responses: Go to the opportunities page to find specific optimization directions that may help improve your position.
• A competitor consistently appears ahead of your brand: Click that competitor to review its detailed performance.

Topic visibility ranking

The topic visibility ranking helps you quickly see which brands AI is more likely to recommend in each business direction.

What to watch for

• Your brand ranks low under a topic: Competitor content may be more recognized by AI in that business direction. You can optimize related content more specifically.
• A topic shows “-”: AI may not be mentioning your brand when answering questions related to this topic. This deserves closer attention.

Understand Prompt Performance

The Prompt Performance page helps you review how each specific question performs in AI search.

The Visibility dashboard shows overall performance. The Prompt Performance page breaks the data down to each individual prompt, so you can clearly see which questions lead AI to mention your brand and which questions do not mention it at all. This helps you decide which content to optimize next.

The Prompt Performance page contains two tables:

The upper table is the topic summary table, and the lower table is the prompt detail table.

When you click a topic in the upper table, the lower table automatically switches to show only the prompts under that topic. This helps you drill down from a topic to specific user questions.

Topic level metrics

The topic summary table shows the overall performance of each topic. It helps you understand which business directions are more likely to be mentioned by AI and which topics still need optimization.

Visibility tells you whether AI knows you. Sentiment tells you whether AI likes you. Volume tells you whether the topic is worth investing in. Citation Rate tells you whether exposure can become traffic.

Prompt level metrics

The prompt detail table shows the performance of each specific prompt. It helps you identify which question scenarios deserve higher priority.

In addition to the basic metrics, there are two fields in the prompt detail table that deserve special attention.

Funnel

Funnel classifies prompts as TOFU, MOFU, or BOFU based on the depth of intent behind the question.

• TOFU stands for the awareness stage. The user is just beginning to learn about a concept.
• MOFU stands for the consideration stage. The user is comparing different solutions.
• BOFU stands for the decision stage. The user is close to buying or choosing a tool.

In general, the closer a prompt is to BOFU, the higher its conversion value.

Intent

Intent identifies the search purpose behind a prompt. Currently supported types are: I for informational, C for commercial investigation, and T for transactional.

It helps you decide what type of content to add:

• Informational prompts are suitable for educational content.
• Commercial investigation prompts are suitable for comparison and review content.
• Transactional prompts are suitable for product pages or conversion pages.

You can also sort by fields such as Visibility, Volume, and Citation Rate to quickly find prompts that perform well or need optimization.

Prompt detail page

The prompt detail table shows overview data for each prompt. The prompt detail page breaks the data down further by time, region, and platform, and shows the gap between your brand and competitors.

On the prompt detail page, you can see whether AI mentions your brand when answering the same question across different platforms, regions, and time periods. You can also see where your brand falls behind competitors.

Top core metrics

The top of the page shows three core metrics: Visibility, Average Position, and Citation Rate. These metrics give you an overview of the prompt’s performance.

Click any metric card, and the trend chart and platform distribution chart below will automatically switch to show how that metric changes over time and across AI platforms.

Opportunity module

The opportunity module quantifies the gaps between your brand and competitors. It helps identify high potential growth opportunities and decide what to prioritize.

• Brand Gap: The percentage of AI responses where competitors appear but your brand is absent. A larger Brand Gap means competitors are gaining visibility in this prompt scenario while your brand is missing from more AI responses.
• Source Gap: The percentage of AI responses where competitors’ links are cited as references but your website is absent. A larger Source Gap means AI is using competitor sources for this prompt while your own website is missing from the cited references.

Note:

For Brand Gap, a higher value means competitors appear in more AI responses while your brand is absent.

For Source Gap, a higher value means competitors’ links are cited in more AI responses while your website is absent.

Response details

Response details include three tabs: Chat, Citation Rate, and Query Fanouts. These tabs show the specific records behind the data.

Chat tab

The Chat tab shows the specific AI responses generated for this prompt. You can view the platform, response summary, Mention Status, Average Position, region, and date. Click any record to open the full conversation details, including the original AI response, mentioned brands, citation sources, and Query Fanouts.

Metric explanation:

• Platform: The AI platform that generated the response, such as Google AI Overview, ChatGPT, Perplexity, or Gemini.
• Response: A summary of the answer generated by AI.
• Mention Status: Whether your brand was mentioned in this response. “Yes” means mentioned, and “No” means not mentioned. By reviewing records marked “No”, you can quickly locate the specific scenarios where AI did not mention your brand at all and decide which content should be added first.
• Average Position: The position where your brand appears in this response. A smaller number means a higher position. This helps you judge whether your brand appears in a place users are likely to notice, even when it is mentioned.
• Region: The target region of this query. AI responses and brand exposure can vary across regions, helping you decide whether localized content optimization is needed for specific markets.
• Date: The time when this response was generated.

Click any record in the list to open the full conversation details. You can view:

• The full original AI response to this prompt.
• The mentioned brands panel on the right, which lists all brands mentioned in the response and their Sentiments. Your brand is highlighted. Click any brand to jump to the exact place where it is mentioned in the original response, so you can quickly review the context.
• The sources panel on the right, which lists the specific web pages cited in the response. Click any source to open the cited page and review the original content AI used.
• The Query Fanouts panel on the right, which shows the sub queries generated from this response.

Citation Rate tab

The Citation Rate tab focuses on the specific web pages cited in the responses. It helps you see which sources AI referenced when generating the answers and how each source performed.

Fields include:

• URL: The specific web page cited by AI. Click it to open the page directly.
• URL type: The content type of the cited page, such as Article, Homepage, or Other. This reflects which content structures AI algorithms tend to cite.
• Mention Status: Whether the page mentions your brand. “Yes” means it does, and “No” means it does not.
• Mentioned brands: Shows all brands mentioned on the page as brand logos. Hover over a logo to view the brand name.
• Count: The total number of times this page was cited as a source in AI generated responses.
• Contribution rate: The percentage of this page’s citation count among all citations from the same website. A higher percentage means this page is one of the most representative pages from that site that AI frequently uses.

How this helps: This table helps you quickly understand which types of content are easier for AI to cite and which competitor pages are being referenced frequently. From there, you can decide what type of content to create to improve the chance of your own pages being cited.

Query Fanouts tab

The Query Fanouts tab shows the sub queries AI generates behind the scenes when answering this prompt. See the Query Fanouts for more details.

Fields include:

• Name: The specific sub query generated by AI.
• Count: How many times this sub query was used across all AI responses.
• Contribution rate: The percentage of this sub query among all derived questions for the current prompt.

How this helps:

The Query Fanouts list helps you understand how AI breaks down this prompt and what it focuses on. You can then judge whether your content covers the long tail directions represented by these sub queries, fill content gaps, and improve overall Visibility.

Understand your Query Fanouts analysis

The Query Fanouts analysis page shows the sub queries AI generates when answering prompts.

Why Query Fanouts matter

Query Fanouts show how AI breaks down a prompt before generating an answer.

Users usually only see the final AI response. Before that response is formed, AI may generate several more specific search directions based on the original prompt. Query Fanouts make these sub queries visible, helping you understand what AI actually focuses on when answering a certain type of question.

In AI search and connected answer scenarios, Query Fanouts and external citations often appear in the same response path. AI first generates search directions from the original question, then gathers information from external web pages or sources, and finally combines that information into an answer. In some cases, the answer also includes cited sources.

Public explanations from platforms such as GPT, Perplexity, Grok, and Google also reflect this trend. When AI answers complex questions, it often uses external information and may rely on search, retrieval, or related query generation to support the response.

This means Query Fanouts help you understand the search path behind an AI answer. They do not only show what AI finally answered. They also help you see which questions AI explored before forming the answer.

With Query Fanouts, you can understand:

• Which sub queries AI generated when answering a specific prompt.
• Which long tail questions AI repeatedly focuses on and may influence the final answer.
• Whether your website content already covers the content directions represented by these sub queries.

How this helps:

If certain sub queries are highly relevant to your business, but your website does not have matching content, this may indicate a content gap. You can use these sub queries to add articles, FAQ content, comparison pages, use cases, or solution pages. This makes it easier for AI to recognize and cite your content when handling similar questions.

Top core data

• Query Fanouts: The total number of sub queries generated by AI under the current filters.
• Trend chart: Shows how the number of generated sub queries changes over time across different AI platforms. This reflects differences in how platforms process the same topic and helps you identify which platforms may need more focused optimization.
• Query Fanouts ranking: Ranks platforms by the number of generated sub queries. You can click the question count column to sort in ascending or descending order. A higher count usually means the platform breaks down this type of topic in more detail.

Prompt level detail table

• Prompt: The specific question. Click the arrow on the left to expand the prompt and view the top 6 sub queries under it, along with their usage counts.
• Platform distribution: Shows how sub queries for this prompt are distributed across different AI platforms. This reflects differences in how platforms process the topic and helps you identify key platforms that may need more attention.
• Trend: Shows how the number of sub queries generated by this prompt changes over time.
• Count: The total number of sub queries generated by this prompt.

After expanding a prompt, click More in the upper right corner to go directly to the prompt detail page. There, you can view the full sub query list and more data dimensions.

Understand your platform analysis

The platform analysis page shows how your brand performs across different AI platforms. It helps you understand where your brand performs well and where there is still room for improvement.

Different AI platforms may use different information sources and generation logic when answering questions. As a result, the same brand may have different Visibility, Citation Rate, or Sentiment across ChatGPT, Gemini, Grok, Perplexity, and other platforms.

How this helps:

The platform analysis page helps you decide which platforms should be prioritized for optimization.

Platform visibility matrix

The platform visibility matrix is a cross comparison table. It helps you review how different brands or topics perform across AI platforms.

Table structure

The columns show AI platforms, such as Gemini, ChatGPT, Grok, Google AI Mode, Copilot, and Google AI Overview.

The rows and cell values can be adjusted through the configuration button in the upper right corner.

• Rows: Can be switched between Competitors and Topics.

  • Competitors: Each row shows one brand, including your brand and competitors. This helps you compare how all brands perform across platforms.
  • Topics: Each row shows one business topic. This helps you compare how each topic performs across different platforms.

• Values: Used to switch the metric shown in the matrix. Available metrics include Visibility, Share of Voice, Citation Rate, Average Position, and Sentiment.

These metrics follow the definitions in the key metrics section. The difference is that the platform visibility matrix shows the value for each brand or topic on a specific AI platform, instead of the overall value across all platforms.

How this helps:

The platform visibility matrix helps you quickly identify which competitors are stronger on a specific platform, which topics perform weaker on a specific platform, and which platforms deserve further attention.

Platform comparison across five dimensions

The five dimension platform comparison section shows how your brand performs across AI platforms.

This area displays five groups of metric cards: Visibility, Share of Voice, Average Position, Citation Rate, and Sentiment. Each group is broken down by platform, so you can compare the same metric across different AI platforms.

The five metrics are shown in the following order:

• Visibility: The percentage of AI responses on this platform that mention your brand. This shows how Visibility differs by platform.
• Share of Voice: Your brand’s share of all monitored brand mentions. This shows how Share of Voice differs by platform.
• Average Position: The average position where your brand appears when mentioned. A smaller number means a higher position. This compares your Average Position across platforms.
• Citation Rate: Among all AI responses with citation links on this platform, the percentage that cite your website domain. This shows how Citation Rate differs by platform.
• Sentiment: AI’s evaluation attitude toward your brand in responses, including positive, neutral, and negative. This compares Sentiment across platforms.

Each group of cards includes:

• Line chart: Shows how the metric changes over time across different platforms.
• Ranking table: Ranks platforms by that metric. Click the column title to sort in ascending or descending order.

By reviewing each metric, you can quickly identify where your brand performs strongest or weakest, then adjust the content strategy for that platform more specifically.

Understand your Sentiment analysis

The Sentiment analysis page shows how AI evaluates your brand when mentioning it, including positive, neutral, and negative mentions.

How this helps:

This page helps you understand AI’s overall attitude toward your brand. You can also review specific response content to see which prompt scenarios generate stronger brand evaluations and which scenarios may require content optimization or clearer brand messaging.

Core data area

• Sentiment: Shows your brand’s overall Sentiment under the current filters. The score is shown together with the overall sentiment direction, such as positive, neutral, or negative, so you can quickly understand how AI evaluates your brand.
• Bar chart: Shows how the Sentiment changes over time. The trend helps you see whether brand evaluation is becoming more positive or whether there are clear fluctuations during a certain period.

Sentiment ranking

The Sentiment ranking compares your brand with competitors by sentiment performance.

The ranking list shows each brand’s Sentiment and change, helping you understand whether your brand evaluation is ahead of competitors or whether there are negative changes that need attention.

Hover over any brand name to open a brand detail card. The card includes a brand introduction, along with key GEO and SEO data such as Visibility, Citation Rate, Share of Voice, Sentiment, Monthly Visits, Avg. Duration, Pages per Visit, and Bounce Rate.

Click a brand name to enter that brand’s analysis page and view more complete data. Click More to open the ranking page and view the full brand ranking list.

Sentiment category detail table

The sentiment category detail table is divided into three tabs: positive, neutral, and negative. It records the specific AI responses under each sentiment category.

Fields include:

• Platform: The AI platform that generated the response.
• Prompt: The specific prompt related to this response.
• Sentiment: The sentiment classification of this response.
• Response: A summary of the answer generated by AI.
• Date: The time when this response was generated.

By switching between the positive, neutral, and negative tabs, you can review how AI evaluates your brand in specific scenarios and understand where improvement may be needed.

Click any prompt in the sentiment category detail table to open the full conversation details for that response. This includes the original AI response, mentioned brands, citation sources, Query Fanouts, and other details, so you can review the conversation more deeply.

Understand your Citation Rate analysis

Citation Rate refers to the percentage of AI responses with citation links that cite your website domain. It reflects whether your website content is likely to be used by AI as a source, and whether AI exposure has the potential to turn into website visits.

How this helps:

The Citation Rate analysis page shows which domains and specific pages AI cites when answering related prompts. It helps you understand which sources AI cites more often, which websites have stronger influence under related topics, and whether your content has the opportunity to be used as a source by AI.

Page overview

The Citation Rate analysis page mainly includes three areas:

• Core data area: Shows Citation Rate performance under the current filters, including the Citation Rate trend and comparison between your brand and competitors.
• Citation Rate ranking: Shows each brand’s Citation Rate and changes, helping you understand whether your content is cited by AI more effectively than competitors.
• Citation source detail table: Shows the specific sources cited by AI. You can switch between Domain and URL views. The Domain view is useful for understanding which websites AI trusts more. The URL view is useful for seeing which specific pages AI cites.

Domain view

The Domain view summarizes citation data by website. It is useful for understanding the broader question of which websites AI trusts more.

In the Domain view, you can focus on three types of information:

• What the website is: Use the domain and domain type to identify whether the source is a company website, community platform, media site, or another type of website. This helps you understand which channels AI is more likely to cite.
• How influential the website is: Use Monthly Visits to understand the traffic scale of the website. Higher traffic usually means the website reaches more users and may have greater external exposure value.
• How often AI cites it: Use Count and source citation share to understand how important the domain is among current citation sources. A higher Count means the website is cited more often by AI. A higher source citation share means it accounts for a larger share of all citation sources.

How this helps:

The Domain view helps you find websites worth further research. For example, if a community platform or industry media site is frequently cited by AI but does not mention your brand, it may be a priority channel for future content placement, backlink building, or brand exposure.

Domain detail page

Click any domain in the Domain view list to open the domain detail page. The domain detail page helps you further analyze the citation value of a specific website. It shows you:

• Whether this website is frequently cited by AI.
• Whether this website’s audience matches your target market.
• Which specific pages from this website are used by AI.

We recommend reviewing the domain detail page from three angles: website value, audience characteristics, and specific cited content.

Website value

The website value section helps you decide whether the domain deserves closer attention.

It shows the domain’s citation performance and website traffic data, such as total citation count, Source citation share, Monthly Visits, Avg. Duration, Pages per Visit, and Bounce Rate.

In this section, focus on several key questions:

• First, is this website frequently used by AI as an information source? Pay close attention to total citation count and Source citation share.
• Second, does this website have meaningful traffic scale? Pay close attention to Monthly Visits.
• Third, does this website show good visit quality? Pay close attention to Avg. Duration and Bounce Rate.

For example, if a website has a high total citation count, it means AI often uses it in responses. If it also has high Monthly Visits, longer Avg. Duration, and a lower Bounce Rate, it means the website is not only cited by AI but also has stronger user visit quality. This type of website is usually more valuable for content partnerships, media exposure, backlink building, or competitor content research.

Audience characteristics

Audience characteristics help you judge whether the website’s users match your target market.

• Top regions: Shows the main countries or regions where the website’s visitors come from. If a website is often cited by AI but its audience is not in your target market, its priority may need to be lower.
• Top keywords: Shows which search keywords bring traffic to the website. These keywords help you judge whether the website’s content direction is related to your business. Click a specific keyword to open the corresponding Google search results page and review the current search landscape for that keyword.

How this helps:

Audience characteristics help you avoid focusing only on citation count while missing whether the website actually fits your brand’s placement goals.

Specific cited content

Specific cited content shows which pages, prompts, topics, platforms, and regions are related to AI citations under this domain.

You can switch between the following dimensions:

• Top pages: View which specific pages under this domain are cited by AI. Click a URL to open the page and review the original content. This view is useful for analyzing what types of content AI prefers to cite.
• Prompts: View which specific prompts are mainly associated with this domain. This helps you understand where the website has influence at the question level.
• Topics: View which business topics this domain is cited under. This helps you understand whether the website covers your core business directions.
• Platforms: View which AI platforms cite this domain. This helps you understand whether the website is more likely to be used as a source by certain platforms.
• Regions: View which regions the domain’s citations mainly come from. This can be reviewed together with Top regions to confirm whether the website’s influence covers your target market.

How to read top pages

Top pages are one of the most important parts of the domain detail page because they point directly to the specific content used by AI.

In top pages, focus on the following information:

• URL: View the specific cited page. Click it to open the original page and analyze its title, content structure, and wording.
• URL type: View the content type of the page, such as listicle, discussion post, personal profile, or another format. This field helps you understand what content formats AI prefers to cite.
• Mention Status: See whether the page mentions your brand. If it shows “No” but mentions other competitors, it may be a potential brand exposure opportunity.
• Mentioned brands: View which brands appear on the page. Brands are shown as logos, making it easier to identify competitors quickly.
• Count and contribution rate: Count shows how many times the page was cited by AI. Contribution rate shows the page’s share of all citations from the domain. If a page has both a high Count and a high contribution rate, it is one of the representative pages from that website that AI uses most often.

How this helps:

Top pages help you find the exact content worth studying or earning exposure from, instead of stopping at the general conclusion that a website is cited often.

URL view

The URL view shows citation data by specific page. It is useful for seeing which articles, pages, or discussion content AI cites.

Compared with the Domain view:

the URL view is better for detailed analysis. It helps you directly locate the specific content used by AI and judge whether those pages are related to your brand.

In the URL view, focus on three types of information:

• Which content is cited: Use the URL and URL type to view the specific page cited by AI and see whether it is an article, guide, discussion post, or another content type. Click the URL to open the original page and further analyze its title, content structure, and wording.
• Whether the page mentions your brand: Use Mention Status and mentioned brands to see whether your brand appears on the page and which competitors are mentioned together with it. If a frequently cited page does not mention your brand but mentions competitors, it may be a valuable exposure opportunity.
• How often the content is cited: Use Count and URL contribution rate to judge how important the page is among all citation sources. Higher Count and higher URL contribution rate mean the page is cited more often by AI and deserves closer review.

How this helps:

The URL view helps you find specific pages worth referencing or earning exposure from. You can then improve your own content type, title structure, and brand coverage strategy.

Understand your ranking page

The ranking page brings your brand and competitors together in one place for comparison across core metrics. It helps you quickly understand where your brand currently stands and which competitors deserve closer attention.

The ranking page combines Visibility, Share of Voice, AI Mentions, Average Position, Citation Rate, and Sentiment into one table, so you can review each brand’s overall performance on a single page.

Field explanation

• #: The ranking order calculated based on the current sorting metric.
• Brand: Shows all monitored brands, including your brand and competitors. Your brand is marked as Owned. Click any brand name to open that brand’s analysis page and view more complete data.
• Core metrics: The table shows Visibility, Share of Voice, AI Mentions, Average Position, Citation Rate, and Sentiment. Each metric displays the current value and change, helping you understand whether brand performance has shifted.

How to use the ranking page

With the ranking page, you can quickly understand:

• How large the overall gap is between your brand and competitors across all dimensions.
• Which competitors continue to lead across multiple metrics and deserve deeper research.
• Which of your own metrics fluctuate the most and should be reviewed in the corresponding analysis page.

For example, if a competitor is clearly ahead in Visibility, Share of Voice, and Citation Rate, it means that competitor is not only more likely to be mentioned by AI, but also more likely to be cited as a source. In this case, you can enter that competitor’s analysis page to see which topics, prompts, or citation sources are driving its stronger performance.