RRepoGEO

REPOGEO REPORT · LITE

kiteco/kiteco-public

Default branch master · commit 25b0bf85 · scanned 6/9/2026, 6:41:52 AM

GitHub: 767 stars · 173 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 kiteco/kiteco-public, 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

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

OVERALL DIRECTION
  • highabout#1
    Update the repository description

    Why:

    CURRENT
    Primary Kite repo — private bits replaced with XXXXXXX
    COPY-PASTE FIX
    Public archive of Kite's core codebase, demonstrating large-scale Python code analysis, distributed processing via map-reduce, and infrastructure for building AI coding assistants.
  • highreadme#2
    Reposition the README's opening statement

    Why:

    CURRENT
    This is a public version of the main Kite repo
The main Kite repo (originally `kiteco/kiteco`) was intended for private use. It has been lightly adapted for publication here by replacing private information with `XXXXXXX`. As a result many components here may not work out of the box.
    COPY-PASTE FIX
    This repository serves as a public archive of the core codebase behind Kite, an AI-powered coding assistant. It showcases the infrastructure and techniques used for large-scale Python code analysis, including distributed processing with map-reduce, a GitHub crawler, and package exploration. While adapted from a private repo, it offers valuable insights into building complex code intelligence systems.

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 kiteco/kiteco-public
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
thebjorn/pydeps
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. thebjorn/pydeps · recommended 1×
  2. naiquevin/pipdeptree · recommended 1×
  3. terryyin/lizard · recommended 1×
  4. PyCQA/bandit · recommended 1×
  5. github/codeql · recommended 1×
  • CATEGORY QUERY
    How to analyze large Python codebases for dependencies and package usage?
    you: not recommended
    AI recommended (in order):
    1. Pydeps (thebjorn/pydeps)
    2. pipdeptree (naiquevin/pipdeptree)
    3. Lizard (terryyin/lizard)
    4. Bandit (PyCQA/bandit)
    5. CodeQL (github/codeql)
    6. Import Inspector (PyCQA/import-inspector)
    7. PyPI Stats (hugovk/pypi-stats)

    AI recommended 7 alternatives but never named kiteco/kiteco-public. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools are available for distributed processing of code data using map-reduce?
    you: not recommended
    AI recommended (in order):
    1. Apache Spark
    2. Apache Hadoop MapReduce
    3. Apache Flink
    4. Google Cloud Dataflow
    5. AWS EMR

    AI recommended 5 alternatives but never named kiteco/kiteco-public. 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 kiteco/kiteco-public?
    pass
    AI named kiteco/kiteco-public explicitly

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

  • If a team adopts kiteco/kiteco-public in production, what risks or prerequisites should they evaluate first?
    pass
    AI named kiteco/kiteco-public 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 kiteco/kiteco-public solve, and who is the primary audience?
    pass
    AI named kiteco/kiteco-public 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 kiteco/kiteco-public. 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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MARKDOWN (README)
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HTML
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  • Brand-free category queries5 vs 2 in Lite
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