RRepoGEO

REPOGEO REPORT · LITE

kkyon/botflow

Default branch master · commit bed666cb · scanned 6/28/2026, 8:23:06 PM

GitHub: 1,196 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 kkyon/botflow, 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
    Reposition README opening to clarify core purpose and use cases

    Why:

    CURRENT
    Botflow
    0.2.0 alpha
    
    * Dataflow programming framework
    * Paralleled in coroutines and ThreadPool
    * Type- and content-based route function
    * Interactive programming with Jupyter Notebook
    COPY-PASTE FIX
    Botflow is a fast Python dataflow programming framework designed for building scalable data pipelines. It's ideal for tasks like web crawling, machine learning data processing, and quantitative trading, offering parallelism with coroutines and ThreadPool.
  • hightopics#2
    Add specific topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    python, dataflow, data-pipeline, web-crawler, machine-learning, quantitative-trading, asyncio, concurrency, workflow
  • mediumlicense#3
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    Botflow is released under [Specify License Name(s) here, e.g., 'a custom license combining MIT and Apache-2.0 terms']. Please see the LICENSE file for full details.

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 kkyon/botflow
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Dask
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Dask · recommended 2×
  2. Prefect · recommended 2×
  3. Luigi · recommended 2×
  4. Apache Beam · recommended 1×
  5. Apache Spark · recommended 1×
  • CATEGORY QUERY
    How to build scalable data pipelines using a Python dataflow programming framework?
    you: not recommended
    AI recommended (in order):
    1. Apache Beam
    2. Apache Spark
    3. Dask
    4. Prefect
    5. Apache Airflow
    6. Luigi

    AI recommended 6 alternatives but never named kkyon/botflow. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What Python library simplifies building parallel data processing workflows with minimal configuration?
    you: not recommended
    AI recommended (in order):
    1. Dask
    2. Apache Spark (PySpark)
    3. Ray
    4. Prefect
    5. Luigi
    6. Celery

    AI recommended 6 alternatives but never named kkyon/botflow. 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 kkyon/botflow?
    pass
    AI named kkyon/botflow explicitly

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

  • If a team adopts kkyon/botflow in production, what risks or prerequisites should they evaluate first?
    pass
    AI named kkyon/botflow 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 kkyon/botflow solve, and who is the primary audience?
    pass
    AI named kkyon/botflow explicitly

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

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kkyon/botflow — 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