Find and handle your diagnosis opportunities

What is the diagnosis center?

The diagnosis center turns brand exposure issues in AI responses into actionable diagnosis opportunities.

It summarizes the overall diagnosis status of the current project and groups issues by type, such as brand absence, unstable mentions, later placement in AI responses, or insufficient prompt demand. This helps you decide which issues should be handled first.

How it differs from the analysis section

Unlike the opportunities page, the diagnosis center focuses more on what the current issue is, how high the priority is, and whether it has already been handled.

Here, you can review Action Priority, generate or view solutions, and mark issues as resolved after they have been handled.

How to read diagnosis opportunities

Each diagnosis opportunity corresponds to a real question scenario.

You can evaluate the value of an opportunity and where the gap comes from by reviewing the question users are asking, Action Priority, AI Mention Rate, Volume, issue type, platform, and competitors.

Action Priority is especially important for deciding what to handle first. A higher priority usually means the issue has clear user demand, competitors have already gained exposure in related AI responses, but your brand is still missing or underperforming.

How this helps you

The diagnosis center is not only for finding issues. It also helps you move issues toward resolution.

You can generate or view a solution based on a specific diagnosis opportunity, then continue to generate content through the Content Writer. After the issue is handled, you can mark it as completed, creating a closed loop from gap discovery to optimization completion.

AI Mentions and Average Position

Feature overview

The AI Mentions and Average Position tab is used to diagnose brand exposure issues in AI responses.

It focuses on two questions: When users ask relevant questions, does AI mention your brand? If it does, is your brand placed high enough in the response?

This tab helps you find three types of issues:

• Competitors are already mentioned by AI, but your brand does not appear at all.
• Your brand is mentioned occasionally, but mentions are unstable.
• Your brand is mentioned, but appears in a lower position, making it less likely for users to notice it first.

How this helps:

The AI Mentions and Average Position tab helps you understand whether the main issue is that your brand is not mentioned by AI, is mentioned inconsistently, or appears too low in the response.

From there, you can decide whether to prioritize brand introductions, product comparisons, use cases, solution pages, or FAQ content.

How to understand Action Priority?

Action Priority helps you decide which exposure issues should be handled first.

In the AI Mentions and Average Position tab, a high priority issue usually means there is clear user demand, competitors have already gained exposure in related AI responses, but your brand is still missing, mentioned inconsistently, or not placed high enough.

When reviewing priority, you can look at AI Mention Rate, issue type, platform, and competitors together.

• AI Mention Rate helps you understand whether your brand appears consistently.
• Issue type helps you identify whether the gap is caused by no mentions, unstable mentions, or a lower position.
• Platform and competitors help you understand where the issue mainly happens and which brands have already gained exposure.

Solutions and handling status

After you confirm a diagnosis opportunity, the system provides a relevant solution based on the current issue. This helps you decide what type of content can close the exposure gap in AI responses.

Common solutions include two types:

• Generate an in depth guide: Used when your brand lacks systematic content under a certain topic. This is more suitable for building authority around a topic category, such as industry guides, methodologies, comparison frameworks, or resource based content.
• Generate a problem solution: Used when your brand is missing under a specific question scenario. This is more suitable for content built around one specific prompt, such as issue analysis, solution paths, case explanations, or FAQ content.

Both types of solutions can connect with the Content Writer and turn optimization directions into specific content.

After content is generated, the related task will appear on the tasks page. There, you can check the task status, such as running, pending review, completed, or failed.

Content generation and viewing

The view entry shows different content depending on the task status:

• When a task is running, the view entry lets you see the generation process.
• After a task is completed, the view entry lets you view the generated article, content brief, or FAQ content.

Completion status

Handling status records whether a diagnosis opportunity has been completed.

After an opportunity is marked as resolved, a completion label appears next to the related prompt. This helps you distinguish handled issues from issues that still need work in the list.

Prompts

Feature overview

The Prompts tab is used to diagnose the popularity and demand quality of your current prompt pool.

Prompt popularity is mainly evaluated through Volume. Volume refers to the monthly search volume of a prompt in the current monitored region. With Volume, you can judge whether the questions being monitored have enough search demand.

When the system identifies low volume prompts, you can decide whether to continue monitoring them based on business relevance. If the topic is still important, you can use the High-volume Prompt Miner to optimize the wording, rewrite the prompt, or expand more related questions, so the prompt pool better matches real search demand in the current region.

How to interpret it

In the Prompts tab, focus on Volume, issue type, and Action Priority.

• If a prompt is marked as low volume, it means the current search demand is insufficient and the prompt may not be suitable as a long term monitoring focus.
• If a low volume prompt is still closely related to your core business, you can continue improving its wording or generate higher volume related prompts under the same topic.
• If multiple prompts have low volume issues, you can use batch optimization to handle them together.

How to continue optimizing

The diagnosis center helps you identify low volume issues in your prompt pool. You can then continue handling them with the High-volume Prompt Miner.

Use the High-volume Prompt Miner to optimize the original prompt, rewrite it, or generate more related questions based on the current topic. After new prompts go live, they will enter the monitoring process and continue generating data such as Volume, Visibility, Citation Rate, and Average Position.

How this helps you

The Prompts tab helps you identify prompts with insufficient search demand in time, preventing low demand questions from affecting later analysis for too long.

This helps ensure that your AI visibility monitoring, AI Mention Rate evaluation, platform performance analysis, and content opportunity analysis are built on questions with more realistic demand.

Prompt opportunity types

This tab mainly helps you identify two types of prompt opportunities.

• Low volume prompts: These indicate that the current question has weak user demand. You should prioritize discovering higher volume related questions that better match how real users ask.
• Medium volume prompts: These indicate that the current question already has some user demand, but can still be expanded into more high volume related questions.

How to understand Action Priority

Action Priority helps you decide the order for prompt optimization.

Low volume usually corresponds to high priority, meaning the prompt should be handled first. Medium volume usually corresponds to medium priority, meaning the prompt already has some demand but still has room for further expansion.

When reviewing prompts, you can evaluate their optimization value by looking at issue type, Volume, and platform together.

Prompt optimization and launch

For prompts with insufficient search demand, the system provides optimization support through the High-volume Prompt Miner. This helps you continue finding higher volume questions that are closer to real user queries.

The High-volume Prompt Miner generates related questions around the current prompt, which can be used to supplement or replace the original prompt. The page also supports batch optimization, which is useful when handling multiple similar prompt opportunities at the same time.

After optimization is complete, the new prompts go live directly and enter the following monitoring process.