Setting your project

You completed the initial project setup when you first logged in.

This section explains how to update and expand your project settings during daily operations, especially when your business focus or market conditions change.

You can adjust your brand, platforms, competitors, topics, and prompt matrix as needed.

Reconfigure your project settings

This is the central management area for your project. It shows the current configuration of your brand, topics, platforms, prompts, and competitors, so you can maintain them at any time.

Set up your prompts

Prompts are the foundation of all Dageno tracking features. They represent the real questions potential customers may ask AI. Effective prompt management turns scattered user questions into structured monitoring dimensions.

This section explains how to create, categorize, and expand prompts in bulk. It helps you build a systematic monitoring network, so you can keep tracking your brand’s overall visibility across AI platforms.

Manage your topics

Topics are the top level structure of your monitoring system. Before writing specific prompts, you need to define topics first. This helps ensure individual customer questions can be organized under the right business and competitor dimensions.

What is the relationship between topics and prompts?

Topics: the question areas you want to monitor. They represent a category of user needs, such as “AI SEO tool recommendations” or “how enterprises can improve GEO performance”.

Prompts: the specific questions under a topic. They simulate what users may actually ask AI.

For example, under the topic “AI SEO tool recommendations”, the related prompts could include:

• What are the best AI SEO tools?
• What AI SEO tools are suitable for B2B SaaS companies?
• How is Dageno different from other AI SEO tools?

Topics define what you want to focus on, while prompts simulate how users ask AI.

In Dageno, topics and prompts are used to simulate real user questions in AI tools such as ChatGPT, Perplexity, and Gemini. This allows you to monitor whether AI responses:

• Mention your brand.
• Recommend your brand.
• Mention your brand together with competitors.
• Cite your content or use it to influence the answer.

Manage your prompts

This section is for users who have already completed the initial prompt setup. It is designed for daily prompt maintenance, including adding, removing, adjusting, and optimizing prompts.

Three ways to configure prompts

Method 1: Bulk upload prompts with a CSV file

Step 1: Prepare the CSV file

You can download the template directly from the system. The CSV file must include the following columns. The header row is required and case sensitive:

• Topic: The prompt topic, such as “AI search analytics”.
• Prompt: The specific prompt, or the question sent to AI.
• Regions: Region codes. Use commas for multiple regions and wrap them in quotation marks, such as “UK, US”.
• Language: Language code, such as en-US.

Step 2: Upload the file

In the upload area in the middle of the pop-up, click to upload or drag the CSV file into the area.

Step 3: Confirm the import

After the file is uploaded, click Import in the lower right corner to complete the import. To cancel the action, click Cancel.

After a successful import, the prompts will appear directly under the Active tab and will be included in the daily tracking cycle immediately.

Method 2: Generate prompts with AI

Select the topic, region, and language, then set the number of prompts to generate. You can generate up to 20 prompts at a time. Click Generate prompts, and Dageno will generate relevant prompts based on your brand information.

Method 3: Manually add a single prompt

Select a topic, enter the prompt, confirm the region and language, then click Create to add it. You can create one prompt at a time. This method is best for adding individual prompts.

Why topic selection matters

Topics determine the user demand scenarios where your brand performance is monitored. Choosing topics closely related to your business helps ensure the data reflects whether your potential customers can find you.

If your topics are too broad or too far from your core business, the monitoring data will become much less useful.

Why region and language selection matters

Users in different regions ask questions in different ways when using AI tools. Their language, phrasing, and priorities may also vary.

Choosing the right region and language ensures that Dageno simulates the behavior of your real target market, so the monitoring data is more useful.

For example, even when users ask about the “best AI search tools”, AI recommendations for English users in the United States and English users in Singapore may be very different.

Project data access

Feature overview

Project data access allows external tools to read or use data from your current Dageno project.

On the brand page, you can create a project API key and complete the integration setup by following the MCP documentation. After setup, external tools that support MCP can call current project data within the authorized scope, including brand information, GEO analysis results, topics, prompts, citation sources, and opportunity data.

This section is not about changing monitoring settings. It is about connecting the data already stored in Dageno to external development, analysis, or automation workflows.

MCP documentation: https://open-api-docs.dageno.ai/

How it works

Project data access works in three main steps:

• Create a key: Generate an API key in the project to confirm whether an external tool has permission to access current project data.
• Review the MCP documentation: Follow the MCP documentation to configure the service URL, authentication method, and project API key. You can also see which data tools are available.
• Call data from external tools: Complete the configuration in Codex or another external tool that supports MCP, then use natural language to read project data or run related analysis tasks.

With this workflow, Dageno does more than display data inside the product. It also makes project data available for external workflows.

What the MCP documentation includes

The MCP documentation explains how to connect Dageno project data to external AI tools that support MCP.

It mainly includes three types of information:

• Connection setup: Explains the MCP service URL, authentication method, and project API key configuration.
• Available tools: Shows which Dageno project data external tools can read or process, such as brand information, GEO analysis results, topics, prompts, citation sources, and opportunity data.
• Example instructions: Provides natural language examples you can use as references, such as analyzing brand information, reviewing Visibility performance, organizing content opportunities, or analyzing citation sources.

After setup, external AI tools can use Dageno project data for analysis, writing, report generation, or project management tasks.

Available data

Through MCP, external tools can use project data in several areas, including:

• Brand information: Read the current project’s brand profile, keywords, and competitors.
• GEO analysis: Query GEO analysis results such as Visibility and Citation Rate.
• Topics and prompts: Read topics, prompts, and prompt related AI responses.
• Citation sources: View the domains, URLs, and specific pages cited by AI.
• Opportunity data: Read content opportunities, backlink opportunities, and community opportunities.
• Prompt management: Create, update, delete, or read prompts in bulk.

Codex demo

How this helps you

Project data access lets you bring Dageno’s brand monitoring data into external analysis, development, or automation workflows.

This is useful for teams that need to combine GEO data with internal systems, client reports, automation scripts, or external AI tools.

For example, you can use Codex to read project brand information, prompt performance, citation sources, or content opportunities, then generate further analysis, reports, or optimization suggestions based on that data.

Manage team collaboration

The team members page is used to invite other members to the current team, so they can work together on project management and daily operations.

On the members page, you can invite new team members by email. After joining, members can view project data, maintain project settings, and participate in later analysis, content work, or integration setup within the same team environment.

This is useful for multi-person workflows.

For example, operations team members can maintain prompts and competitors, content team members can handle content opportunities, and project owners can review analysis results and reports.

With team member management, different roles can work on the same project together. This helps prevent project data, settings, and task results from being scattered across separate accounts.

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