RRepoGEO

REPOGEO REPORT · LITE

hewliyang/office-agents

Default branch main · commit 95fb6544 · scanned 5/28/2026, 11:27:01 PM

GitHub: 517 stars · 73 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 hewliyang/office-agents, 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 improve categorization

    Why:

    COPY-PASTE FIX
    office-addins, ai-agents, llm-framework, microsoft-office, excel-addin, word-addin, powerpoint-addin, svelte, typescript, byok
  • highlicense#2
    Add a LICENSE file to clarify usage terms

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
  • mediumreadme#3
    Clarify README's opening sentence to emphasize 'framework'

    Why:

    CURRENT
    # Office Agents Office Agents is a monorepo of Microsoft Office Add-ins with integrated AI chat panels.
    COPY-PASTE FIX
    # Office Agents Office Agents is an open-source framework and monorepo for building AI-powered Microsoft Office Add-ins with integrated chat panels.

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 hewliyang/office-agents
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Microsoft Office Add-ins
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Microsoft Office Add-ins · recommended 1×
  2. JavaScript API for Office · recommended 1×
  3. Azure Functions · recommended 1×
  4. AWS Lambda · recommended 1×
  5. Google Cloud Functions · recommended 1×
  • CATEGORY QUERY
    How to develop AI assistant add-ins for office applications with custom LLM providers?
    you: not recommended
    AI recommended (in order):
    1. Microsoft Office Add-ins
    2. JavaScript API for Office
    3. Azure Functions
    4. AWS Lambda
    5. Google Cloud Functions
    6. VSTO
    7. Visual Studio Tools for Office
    8. Azure App Service
    9. Microsoft Power Automate
    10. Microsoft Graph
    11. Python
    12. python-docx
    13. openpyxl
    14. win32com.client
    15. Flask
    16. FastAPI
    17. Google Workspace Add-ons
    18. Google Apps Script

    AI recommended 18 alternatives but never named hewliyang/office-agents. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a framework for AI agents to read and write office documents programmatically.
    you: not recommended
    AI recommended (in order):
    1. Microsoft Graph API
    2. Apache POI
    3. python-docx (python-openxml/python-docx)
    4. openpyxl (python-openxml/openpyxl)
    5. python-pptx (python-openxml/python-pptx)
    6. Pandas (pandas-dev/pandas)
    7. Unstructured (Unstructured-IO/unstructured)
    8. Aspose.Words
    9. Aspose.Cells
    10. Aspose.Slides

    AI recommended 10 alternatives but never named hewliyang/office-agents. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 hewliyang/office-agents?
    pass
    AI named hewliyang/office-agents explicitly

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

  • If a team adopts hewliyang/office-agents in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name hewliyang/office-agents — 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?

  • In one sentence, what problem does the repo hewliyang/office-agents solve, and who is the primary audience?
    pass
    AI named hewliyang/office-agents 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 hewliyang/office-agents. 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/hewliyang/office-agents.svg)](https://repogeo.com/en/r/hewliyang/office-agents)
HTML
<a href="https://repogeo.com/en/r/hewliyang/office-agents"><img src="https://repogeo.com/badge/hewliyang/office-agents.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

hewliyang/office-agents — 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