RRepoGEO

REPOGEO REPORT · LITE

iflytek/astron-agent

Default branch main · commit aa579fdb · scanned 6/18/2026, 3:51:40 AM

GitHub: 8,569 stars · 852 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
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 iflytek/astron-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
  • highreadme#1
    Add a concise, prominent tagline to the README's introduction

    Why:

    CURRENT
    The current README starts with a detailed explanation under 'What is Astron Agent' after initial links and language selection.
    COPY-PASTE FIX
    Add the following text as the very first descriptive content in the README, before the '## 🔭 What is Astron Agent' heading: 'An enterprise-grade platform for building and orchestrating AI SuperAgents and intelligent workflows.'
  • mediumreadme#2
    Add a comparison section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README titled 'Astron Agent vs. [Competitor Names]' or 'Why Astron Agent?' that explicitly compares its features (e.g., AI-native, multi-agent, RPA integration) against common alternatives like Apache Airflow, Kubeflow Pipelines, or enterprise RPA platforms.
  • lowhomepage#3
    Update the repository's homepage metadata

    Why:

    CURRENT
    http://astron.ai/
    COPY-PASTE FIX
    https://iflytek.github.io/astron-agent/

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 iflytek/astron-agent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
kubeflow/pipelines
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. kubeflow/pipelines · recommended 1×
  2. apache/airflow · recommended 1×
  3. mlflow/mlflow · recommended 1×
  4. AWS Step Functions · recommended 1×
  5. Azure Data Factory · recommended 1×
  • CATEGORY QUERY
    What are robust platforms for building scalable enterprise AI agent orchestration workflows?
    you: not recommended
    AI recommended (in order):
    1. Kubeflow Pipelines (kubeflow/pipelines)
    2. Apache Airflow (apache/airflow)
    3. MLflow (mlflow/mlflow)
    4. AWS Step Functions
    5. Azure Data Factory
    6. Google Cloud Composer
    7. Prefect (PrefectHQ/prefect)

    AI recommended 7 alternatives but never named iflytek/astron-agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a low-code platform to integrate RPA with multi-agent systems for enterprise automation.
    you: not recommended
    AI recommended (in order):
    1. UiPath Automation Cloud with AI Center and Action Center
    2. Microsoft Power Automate with Azure AI Services and Power Virtual Agents
    3. Appian
    4. Automation Anywhere Enterprise A2019/360
    5. Pega Platform
    6. OutSystems

    AI recommended 6 alternatives but never named iflytek/astron-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
    pass

  • 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 iflytek/astron-agent?
    pass
    AI named iflytek/astron-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 iflytek/astron-agent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named iflytek/astron-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 iflytek/astron-agent solve, and who is the primary audience?
    pass
    AI named iflytek/astron-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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iflytek/astron-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