RRepoGEO

REPOGEO REPORT · LITE

X-DataInitiative/tick

Default branch master · commit a40d19f8 · scanned 6/1/2026, 6:46:53 PM

GitHub: 547 stars · 119 forks

AI VISIBILITY SCORE
67 /100
Needs work
Category recall
1 / 2
Avg rank #1.0 when recommended
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 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 X-DataInitiative/tick, 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
  • highabout#1
    Clarify the repository's 'About' description

    Why:

    CURRENT
    Module for statistical learning, with a particular emphasis on time-dependent modelling
    COPY-PASTE FIX
    Python library for statistical learning, specializing in time-dependent data, point processes, and Hawkes processes. Offers efficient optimization and simulation tools.
  • highreadme#2
    Reposition the README's opening paragraph to emphasize core strengths

    Why:

    CURRENT
    _tick_ is a Python 3 module for statistical learning, with a particular emphasis on time-dependent modeling.
    COPY-PASTE FIX
    _tick_ is a powerful Python 3 module for statistical learning, specifically designed for time-dependent data. It excels in modeling and simulating complex systems like point processes and Hawkes processes, alongside offering robust tools for generalized linear models and optimization.
  • mediumtopics#3
    Add more specific topics to improve niche discoverability

    Why:

    CURRENT
    machine-learning, modelling, optimization, point-process, python, statistics
    COPY-PASTE FIX
    machine-learning, modelling, optimization, point-process, python, statistics, hawkes-process, time-series, statistical-modeling

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
1 / 2
50% of queries surface X-DataInitiative/tick
Avg rank
#1.0
Lower is better. #1 = top recommendation.
Share of voice
7%
Of all named tools, what % are you?
Top rival
Statsmodels
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Statsmodels · recommended 1×
  2. Prophet · recommended 1×
  3. Scikit-learn · recommended 1×
  4. PyFlux · recommended 1×
  5. Tsfresh · recommended 1×
  • CATEGORY QUERY
    What Python libraries are best for statistical learning with time-dependent data?
    you: not recommended
    AI recommended (in order):
    1. Statsmodels
    2. Prophet
    3. Scikit-learn
    4. PyFlux
    5. Tsfresh
    6. Darts

    AI recommended 6 alternatives but never named X-DataInitiative/tick. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a Python library for analyzing and simulating point processes with machine learning.
    you: #1
    AI recommended (in order):
    1. tick ← you
    2. scikit-learn
    3. PyTorch
    4. TensorFlow
    5. statsmodels
    6. SimPy
    7. NumPy
    8. SciPy
    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 X-DataInitiative/tick?
    pass
    AI did not name X-DataInitiative/tick — likely talking about a different project

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

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

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

Embed your GEO score

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MARKDOWN (README)
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X-DataInitiative/tick — 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