RRepoGEO

REPOGEO REPORT · LITE

OranAi-Ltd/oransim

Default branch main · commit 8b5dd542 · scanned 5/12/2026, 7:06:54 PM

GitHub: 1,091 stars · 152 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 OranAi-Ltd/oransim, 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 relevant topics to the repository

    Why:

    COPY-PASTE FIX
    marketing-analytics, causal-inference, digital-twin, simulation, ai-marketing, roi-prediction, consumer-behavior, marketing-strategy, enterprise-marketing
  • highreadme#2
    Add a clear disambiguation statement to the README's opening

    Why:

    CURRENT
    ### Predict your next campaign's ROI before spending a dollar.
    COPY-PASTE FIX
    ### Predict your next campaign's ROI before spending a dollar.
    **Note: OranSim is a marketing simulation platform, not related to O-RAN.**
  • mediumabout#3
    Enhance the 'About' description with a strong keyword

    Why:

    CURRENT
    Causal Digital Twin for Marketing at Scale · Predict any marketing decision before you spend a dollar.
    COPY-PASTE FIX
    Causal Digital Twin for Marketing at Scale. Predict any marketing decision before you spend a dollar with this AI marketing simulator.

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 OranAi-Ltd/oransim
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Analytics 4
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Analytics 4 · recommended 1×
  2. Google Ads · recommended 1×
  3. Google Tag Manager · recommended 1×
  4. Salesforce · recommended 1×
  5. HubSpot · recommended 1×
  • CATEGORY QUERY
    How can I accurately predict marketing campaign ROI before launch?
    you: not recommended
    AI recommended (in order):
    1. Google Analytics 4
    2. Google Ads
    3. Google Tag Manager
    4. Salesforce
    5. HubSpot
    6. Zoho CRM
    7. HubSpot Marketing Hub
    8. Marketo Engage
    9. Pardot
    10. Microsoft Excel
    11. Google Sheets
    12. Tableau
    13. Power BI
    14. DataRobot
    15. H2O.ai
    16. Ruler Analytics
    17. Bizible

    AI recommended 17 alternatives but never named OranAi-Ltd/oransim. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools simulate consumer behavior and market response for new campaigns?
    you: not recommended
    AI recommended (in order):
    1. AnyLogic
    2. GAMA Platform (gama-platform/gama)
    3. NetLogo (NetLogo/NetLogo)
    4. Mesa (projectmesa/mesa)
    5. SimPy (simpy/simpy)
    6. NumPy (numpy/numpy)
    7. Pandas (pandas-dev/pandas)
    8. Scikit-learn (scikit-learn/scikit-learn)
    9. Stella Architect
    10. iThink
    11. Qualtrics
    12. Optimizely

    AI recommended 12 alternatives but never named OranAi-Ltd/oransim. 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 OranAi-Ltd/oransim?
    pass
    AI named OranAi-Ltd/oransim explicitly

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

  • If a team adopts OranAi-Ltd/oransim in production, what risks or prerequisites should they evaluate first?
    pass
    AI named OranAi-Ltd/oransim 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 OranAi-Ltd/oransim solve, and who is the primary audience?
    pass
    AI named OranAi-Ltd/oransim 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 OranAi-Ltd/oransim. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/OranAi-Ltd/oransim.svg)](https://repogeo.com/en/r/OranAi-Ltd/oransim)
HTML
<a href="https://repogeo.com/en/r/OranAi-Ltd/oransim"><img src="https://repogeo.com/badge/OranAi-Ltd/oransim.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

OranAi-Ltd/oransim — 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