RRepoGEO

REPOGEO REPORT · LITE

microsoft/OptiGuide

Default branch main · commit 419cf7b9 · scanned 5/29/2026, 5:17:00 PM

GitHub: 678 stars · 116 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 microsoft/OptiGuide, 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
    Reposition the README's opening paragraph to clarify project focus

    Why:

    CURRENT
    We have several projects in this repository for decision making and optimization, and please cite the paper if you use this code in your own work.
    COPY-PASTE FIX
    This repository focuses on applying Generative AI and Large Language Models (LLMs) to solve complex optimization and decision intelligence problems, including supply chain optimization and Mixed Integer Linear Programming (MILP). It provides projects and research demonstrating how LLMs can act as powerful tools for real-world business and scientific optimization challenges.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    generative-ai, llm, optimization, decision-intelligence, supply-chain-optimization, mixed-integer-linear-programming, operations-research, artificial-intelligence
  • mediumreadme#3
    Add a comparison section to clarify project scope

    Why:

    COPY-PASTE FIX
    Add a new section to the README, e.g., 'How OptiGuide Differs', explaining that it is a research framework for applying GenAI to optimization problems, distinct from commercial enterprise optimization platforms like SAP IBP or Databricks.

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 microsoft/OptiGuide
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
SAP Integrated Business Planning (IBP)
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. SAP Integrated Business Planning (IBP) · recommended 2×
  2. Databricks · recommended 1×
  3. Google Cloud Vertex AI · recommended 1×
  4. Amazon SageMaker · recommended 1×
  5. IBM Watson Supply Chain · recommended 1×
  • CATEGORY QUERY
    How can large language models assist with complex business optimization challenges?
    you: not recommended
    AI recommended (in order):
    1. Databricks
    2. Google Cloud Vertex AI
    3. Amazon SageMaker
    4. IBM Watson Supply Chain
    5. SAP Integrated Business Planning (IBP)
    6. Microsoft Azure AI Platform
    7. Salesforce Einstein GPT
    8. Zendesk
    9. Intercom
    10. Google OR-Tools
    11. OptaPlanner
    12. AnyLogic
    13. OpenAI API
    14. Anthropic Claude
    15. Microsoft 365 Copilot

    AI recommended 15 alternatives but never named microsoft/OptiGuide. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking AI-powered solutions for supply chain optimization, including robust what-if analysis.
    you: not recommended
    AI recommended (in order):
    1. Kinaxis RapidResponse
    2. Blue Yonder Luminate Platform
    3. o9 Solutions AI-Powered Integrated Business Planning (IBP)
    4. SAP Integrated Business Planning (IBP)
    5. SAP S/4HANA
    6. SAP Analytics Cloud
    7. Coupa Supply Chain Design and Planning
    8. E2open

    AI recommended 8 alternatives but never named microsoft/OptiGuide. 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 microsoft/OptiGuide?
    pass
    AI named microsoft/OptiGuide explicitly

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

  • If a team adopts microsoft/OptiGuide in production, what risks or prerequisites should they evaluate first?
    pass
    AI named microsoft/OptiGuide 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 microsoft/OptiGuide solve, and who is the primary audience?
    pass
    AI named microsoft/OptiGuide 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 microsoft/OptiGuide. 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
<a href="https://repogeo.com/en/r/microsoft/OptiGuide"><img src="https://repogeo.com/badge/microsoft/OptiGuide.svg" alt="RepoGEO" /></a>
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microsoft/OptiGuide — 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