RRepoGEO

REPOGEO REPORT · LITE

wenge-research/x-agent

Default branch main · commit 78935e12 · scanned 5/9/2026, 5:57:26 AM

GitHub: 1,086 stars · 102 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface wenge-research/x-agent, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • hightopics#1
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    ai-agents, llm-orchestration, enterprise-ai, low-code, workflow-automation, knowledge-base, large-language-models, agent-platform
  • highreadme#2
    Strengthen the English README introduction for AI clarity

    Why:

    CURRENT
    Open-source platform for building enterprise-grade agents
All-in-One Enterprise Agent Development Platform
    COPY-PASTE FIX
    X-Agent is an open-source, all-in-one enterprise AI agent development platform designed for rapid, zero-code construction of AI applications. It provides visual components for large models, knowledge bases, and workflow orchestration, enabling businesses to quickly build and deploy AI solutions across industries like government, finance, and media.
  • mediumhomepage#3
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    [Insert official project homepage URL here, e.g., https://www.wenge.com/x-agent or similar]

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface wenge-research/x-agent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Rasa Open Source
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Rasa Open Source · recommended 1×
  2. Apache Unomi · recommended 1×
  3. Corteza Low Code · recommended 1×
  4. n8n · recommended 1×
  5. Appsmith · recommended 1×
  • CATEGORY QUERY
    What open-source platform helps build enterprise AI agents with low-code tools?
    you: not recommended
    AI recommended (in order):
    1. Rasa Open Source
    2. Apache Unomi
    3. Corteza Low Code
    4. n8n
    5. Appsmith

    AI recommended 5 alternatives but never named wenge-research/x-agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need an integrated platform for orchestrating large language models, knowledge bases, and AI workflows.
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Microsoft Azure AI Studio
    4. Google Cloud Vertex AI
    5. Weights & Biases
    6. DataRobot

    AI recommended 6 alternatives but never named wenge-research/x-agent. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of wenge-research/x-agent?
    pass
    AI named wenge-research/x-agent explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts wenge-research/x-agent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named wenge-research/x-agent explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo wenge-research/x-agent solve, and who is the primary audience?
    pass
    AI named wenge-research/x-agent explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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wenge-research/x-agent — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite