RRepoGEO

REPOGEO REPORT · LITE

wenge-research/x-agent

Default branch main · commit 78935e12 · scanned 6/19/2026, 12:57:42 AM

GitHub: 1,088 stars · 102 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 the repository

    Why:

    COPY-PASTE FIX
    ai-agents, llm-agents, enterprise-ai, low-code, no-code, workflow-orchestration, knowledge-base, ai-platform, drag-and-drop, visual-builder
  • highabout#2
    Update the repository description for clarity

    Why:

    CURRENT
    智川x-agent
    COPY-PASTE FIX
    Open-source platform for building enterprise-grade AI agents with zero-code visual workflow tools, integrating LLMs and knowledge bases.
  • mediumhomepage#3
    Add the official project homepage URL

    Why:

    COPY-PASTE FIX
    https://[YOUR_PROJECT_HOMEPAGE_URL_HERE]

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
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LangFlow · recommended 1×
  3. Flowise · recommended 1×
  4. LlamaIndex · recommended 1×
  5. LlamaParse · recommended 1×
  • CATEGORY QUERY
    Seeking an open-source platform for building enterprise-grade AI agents with visual workflow tools.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LangFlow
    3. Flowise
    4. LlamaIndex
    5. LlamaParse
    6. LlamaHub
    7. Haystack
    8. Apache Airflow
    9. Prefect

    AI recommended 9 alternatives but never named wenge-research/x-agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools offer low-code development for AI applications integrating large language models and knowledge bases?
    you: not recommended
    AI recommended (in order):
    1. Microsoft Power Apps
    2. Azure AI Services
    3. Azure OpenAI Service
    4. Azure Cognitive Search
    5. Azure Bot Service
    6. Dataverse
    7. Google AppSheet
    8. Vertex AI
    9. Google Cloud Search
    10. Firestore
    11. Retool
    12. OpenAI API
    13. Anthropic API
    14. PostgreSQL
    15. Elasticsearch
    16. Bubble
    17. Xano
    18. Airtable
    19. Pega Platform
    20. OutSystems
    21. Zapier
    22. Make
    23. Google Sheets
    24. Notion

    AI recommended 24 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