RRepoGEO

REPOGEO REPORT · LITE

OranAi-Ltd/oransim

Default branch main · commit 8b5dd542 · scanned 6/23/2026, 3:52:00 AM

GitHub: 1,170 stars · 153 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 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
  • highreadme#1
    Explicitly state the project's domain in the README's main heading

    Why:

    CURRENT
    ### Predict your next campaign's ROI before spending a dollar.
    COPY-PASTE FIX
    ### Oransim: The Causal Digital Twin for Marketing at Scale. Predict your next campaign's ROI before spending a dollar.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    marketing, causal-ai, digital-twin, simulation, roi-prediction, enterprise-marketing, ai-marketing
  • mediumcomparison#3
    Add a 'Compared to X' section in the README

    Why:

    COPY-PASTE FIX
    ## Compared to other Marketing Simulation Tools
    
    (Briefly explain how Oransim differs from traditional marketing mix models, attribution models, or generic causal inference libraries, emphasizing its digital twin approach, scale, and LLM-backed personas.)

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
Gartner Marketing Modeler
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Gartner Marketing Modeler · recommended 1×
  2. SAS Marketing Optimization · recommended 1×
  3. OptiMine · recommended 1×
  4. Google Analytics 360 · recommended 1×
  5. Google Cloud Platform · recommended 1×
  • CATEGORY QUERY
    How can I simulate marketing campaign effectiveness and predict ROI before launch?
    you: not recommended
    AI recommended (in order):
    1. Gartner Marketing Modeler
    2. SAS Marketing Optimization
    3. OptiMine
    4. Google Analytics 360
    5. Google Cloud Platform
    6. BigQuery ML
    7. R
    8. Python
    9. Prophet
    10. scikit-learn
    11. PyMC3
    12. Anaplan
    13. Excel
    14. Google Sheets
    15. @RISK

    AI recommended 15 alternatives but never named OranAi-Ltd/oransim. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help build a digital twin for marketing strategy with causal AI?
    you: not recommended
    AI recommended (in order):
    1. Causalytics
    2. WhyLabs
    3. Microsoft DoWhy
    4. Dataiku
    5. Databricks
    6. Google Cloud Vertex AI
    7. Amazon SageMaker
    8. Domino Data Lab
    9. Adobe Experience Platform (AEP)

    AI recommended 9 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?

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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