Dageno AI Launches Multi-Agent Task Boards, MCP Upgrades & Smarter Prompt Agents

Last week, we launched the Diagnostic Center to solve one core problem: “Where should we start with GEO?”

But very quickly, we discovered a new challenge after brands identified optimization directions through the Diagnostic Center: execution efficiency.

A complete GEO optimization cycle often requires testing dozens of prompts, covering multiple topics, and adjusting strategies for different regional markets. If every task has to be submitted manually, waited on, reviewed, and then followed by the next task, a one-week optimization plan could easily take an entire month to complete.

More importantly, GEO should not exist only inside the Dageno platform. Many teams are already using AI editors like Claude Code and Cursor for content creation, or building their own internal AI workflows. If Dageno’s GEO capabilities cannot be accessed from those systems, teams are forced to constantly switch platforms and operate manually whenever they need GEO data — fragmenting the entire workflow.

That is why this update focuses on two core directions:

Agent Multi-Task Board: Allowing you to submit an entire week or even a month’s worth of GEO tasks at once, with the system automatically queuing and executing them. The Diagnostic Center tells you what to do; the Multi-Task Board helps you complete everything at scale.

New MCP Launch: Opening Dageno’s GEO capabilities to any system that supports the MCP protocol. Whether you are writing articles in Claude Code or making decisions inside an enterprise AI Agent system, you can directly access Dageno’s brand analysis, keyword research, content opportunity discovery, and more — without leaving your current workflow.

1. Prompt Miner Upgrade

The Prompt Miner launched last week received a major upgrade this week, with significant improvements in prompt quality and brand relevance.

When you click the “Action” button on a low-value prompt inside the diagnostic panel, you enter this Agent workflow. It helps replace low-search-volume prompts with new prompts that reflect real demand and are more valuable to monitor.

2. Agent Task Board: Batch Execution for an Entire Week of GEO Work

Previously, GEO articles had to be created one by one, making the process extremely inefficient. Now, with the Task Board, you can:

Submit multiple tasks at once, with the system automatically queuing and executing them.

• Run up to 10 tasks simultaneously
• Clearly track the status of every task on the board
• No need to sit and wait — just let the system work in the background

Four Task States for Clear Progress Tracking

• In Progress: The task is currently running
• Pending Review: The task is completed and waiting for your approval
• Confirmed: The task has passed review and is fully completed
• Failed: An error occurred, and logs are available for troubleshooting

Typical Workflow Scenario

On Monday morning, based on optimization recommendations from the Diagnostic Center, you can submit an entire week of GEO experiment tasks to the board, and the system will automatically execute them according to priority.

You only need to periodically check tasks marked as “Pending Review” and confirm the results.

Work that previously required a full week of manual operations can now be planned in a single morning.

Below is the Dageno AI blog as a reference. The team has consistently been using its own product to optimize the official website.

Recently, organic search traffic has also continued to grow steadily (the screenshot below is from the third-party platform Semrush and can be independently verified).

3. New MCP Launch: Use Dageno Directly Inside Claude Code and Cursor

MCP (Model Context Protocol) is a protocol introduced by Anthropic that allows AI editors to call external tools. Dageno now supports MCP, meaning you can directly use Dageno’s GEO analysis, keyword research, content opportunity discovery, and more from inside Claude Code or Cursor.

Quick Installation

Claude Code

claude mcp add --transport http dageno https://api.dageno.ai/mcp \
  --header "x-api-key: your-token"

Cursor

Add the following to your Cursor configuration file:

{
  "mcpServers": {
    "dageno": {
      "type": "sse",
      "url": "https://api.dageno.ai/mcp",
      "headers": {
        "x-api-key": "your-token"
      }
    }
  }
}

Core Tools Overview

MCP now provides 20+ tools covering the major stages of the GEO workflow.

Brand & Foundation Analysis

• get_brand_info: Retrieve core brand information (positioning, keywords, competitors, etc.)
• get_seo_traffic: Query SEO traffic data for a domain (costs 1 credit per request)

GEO Core Capabilities

• get_geo_analysis: Run GEO DSL analysis (visibility rankings, matrix analysis, trend analysis)
• get_keyword_volume: Batch query keyword search volumes (1 credit per keyword)

Content & Prompt Management

• get_topics: Retrieve topic lists and performance data
• get_prompts: Retrieve prompt lists with pagination, sorting, and filtering support
• batch_create_prompts: Batch create prompts
• batch_update_prompts: Batch update prompts (status, text, topics, regions, etc.)
• batch_delete_prompts: Batch delete prompts
• batch_get_prompt_by_ids: Batch retrieve detailed prompt information
• get_prompt_citation_domains: View citation domain distribution for a single prompt
• get_prompt_citation_urls: View citation page lists for a single prompt
• get_prompt_query_fanout: Analyze prompt query expansion patterns

Citation Analysis

• get_citation_domains: View which domains most frequently cite your project
• get_citation_urls: Retrieve specific citation page URLs

Opportunity Discovery

• get_content_opportunities: Discover which content should be created or improved first
• get_backlink_opportunities: Identify high-priority backlink opportunities
• get_community_opportunities: Identify topics with strong community distribution potential

Real-World Usage Examples

Inside Claude Code or Cursor, you can directly use natural language to ask AI to call these tools.

Analyze Brand Positioning

Please analyze the current project’s brand foundation and summarize its positioning, core keywords, and major competitors.

Evaluate Visibility Performance

Please evaluate visibility performance over the past month and provide key findings and trend insights.

Discover Content Opportunities

What content opportunities exist for the current project? Please rank the top three by priority and explain the reasoning.

Deep Analysis of a Single Prompt

Please analyze the citation distribution and high-value citation sources for this prompt.

Query SEO Traffic

Please retrieve SEO traffic data for www.example.com and summarize traffic volume, rankings, month-over-month trends, and top-performing keywords.

Conclusion

Dageno AI is building a complete GEO capability stack.

The Diagnostic Center solves the problem of “where to start” — helping you clearly understand your current GEO performance, identify optimization directions, and locate specific improvement opportunities.

The Multi-Task Board solves the problem of “how to execute efficiently” — once the Diagnostic Center identifies 50 prompts to optimize, 10 topics to cover, and 5 channels to target, you no longer need to operate task by task manually. Instead, you can submit everything in batches and let the system queue and execute automatically.

MCP solves the problem of “how to integrate into existing workflows” — content teams can directly access GEO data while writing in Claude Code; growth teams can retrieve real-time brand visibility analysis inside internal systems; development teams can integrate Dageno’s GEO capabilities into their own automation tools.

The core logic behind these three steps is:

Diagnosis → Batch Execution → Seamless Integration

When GEO data can be accessed by any system, optimization tasks can be executed automatically at scale, and teams can make GEO decisions inside the workflows they already use, GEO evolves from an “experimental attempt” into a truly scalable growth engine.

Our vision is clear: to make GEO a core infrastructure layer in every global brand’s growth system.