RRepoGEO

REPOGEO REPORT · LITE

JC0v0/Customer-Agent

Default branch main · commit 59467291 · scanned 6/13/2026, 6:22:02 PM

GitHub: 591 stars · 161 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 JC0v0/Customer-Agent, 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

2 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
    e-commerce, ai-agent, customer-service, llm, pyqt6, python, desktop-app, knowledge-base, pinduoduo
  • mediumlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the root directory of the repository containing the full text of the MIT License (or your preferred open-source license).

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 JC0v0/Customer-Agent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Zendesk Sunshine Conversations
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Zendesk Sunshine Conversations · recommended 1×
  2. Zendesk Support · recommended 1×
  3. Intercom · recommended 1×
  4. Ada · recommended 1×
  5. LivePerson · recommended 1×
  • CATEGORY QUERY
    Building an intelligent AI customer support system for online stores with agent capabilities and human transfer.
    you: not recommended
    AI recommended (in order):
    1. Zendesk Sunshine Conversations
    2. Zendesk Support
    3. Intercom
    4. Ada
    5. LivePerson
    6. Gorgias
    7. Freshchat
    8. Freshdesk

    AI recommended 8 alternatives but never named JC0v0/Customer-Agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Open source Python solution for automating e-commerce customer queries with LLMs and knowledge bases?
    you: not recommended
    AI recommended (in order):
    1. Haystack
    2. LangChain
    3. LlamaIndex
    4. Rasa
    5. Transformers (Hugging Face)
    6. Faiss
    7. Pinecone
    8. Weaviate
    9. DeepPavlov

    AI recommended 9 alternatives but never named JC0v0/Customer-Agent. 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 JC0v0/Customer-Agent?
    pass
    AI named JC0v0/Customer-Agent explicitly

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

  • If a team adopts JC0v0/Customer-Agent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named JC0v0/Customer-Agent 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 JC0v0/Customer-Agent solve, and who is the primary audience?
    pass
    AI did not name JC0v0/Customer-Agent — 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?

Embed your GEO score

Drop this badge into the README of JC0v0/Customer-Agent. 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/JC0v0/Customer-Agent.svg)](https://repogeo.com/en/r/JC0v0/Customer-Agent)
HTML
<a href="https://repogeo.com/en/r/JC0v0/Customer-Agent"><img src="https://repogeo.com/badge/JC0v0/Customer-Agent.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

JC0v0/Customer-Agent — 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