RRepoGEO

REPOGEO REPORT · LITE

kkyon/botflow

Default branch master · commit bed666cb · scanned 5/17/2026, 3:42:44 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
  • hightopics#1
    Add specific topics to the repository

    Why:

    COPY-PASTE FIX
    python, dataflow, data-pipeline, machine-learning, quantitative-trading, web-crawler, asyncio, concurrency, parallel-processing
  • highreadme#2
    Reposition README introduction to specify target applications

    Why:

    CURRENT
    * Dataflow programming framework
    COPY-PASTE FIX
    * A fast Python dataflow programming framework for high-performance data pipelines in machine learning, quantitative trading, and web crawling.
  • mediumreadme#3
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    Add a section or line to the README, e.g.: 'Botflow is released under [License Name/Description, e.g., a custom license combining X and Y]. 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
apache/spark
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. apache/spark · recommended 1×
  2. dask/dask · recommended 1×
  3. pola-rs/polars · recommended 1×
  4. ray-project/ray · recommended 1×
  5. PrefectHQ/prefect · recommended 1×
  • CATEGORY QUERY
    Python framework for building fast data pipelines for machine learning or trading?
    you: not recommended
    AI recommended (in order):
    1. Apache Spark (PySpark) (apache/spark)
    2. Dask (dask/dask)
    3. Polars (pola-rs/polars)
    4. Ray (ray-project/ray)
    5. Prefect (PrefectHQ/prefect)
    6. Apache Flink (PyFlink) (apache/flink)
    7. Pandas (pandas-dev/pandas)

    AI recommended 7 alternatives but never named kkyon/botflow. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a Python dataflow programming library for parallel data processing without complex configuration.
    you: not recommended
    AI recommended (in order):
    1. Prefect
    2. Dask
    3. Ray
    4. Apache Beam
    5. Luigi

    AI recommended 5 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?

Embed your GEO score

Drop this badge into the README of kkyon/botflow. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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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