RRepoGEO

REPOGEO REPORT · LITE

HiveNexus/HiveChat

Default branch main · commit 9d1e8ed6 · scanned 5/18/2026, 10:58:12 AM

GitHub: 1,155 stars · 180 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 HiveNexus/HiveChat, 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 specific topics for AI chat platforms and team tools

    Why:

    COPY-PASTE FIX
    ai-chatbot, llm-platform, team-collaboration, multi-model-ai, user-management, internal-tools, nextjs, tailwindcss, postgresql
  • highreadme#2
    Add a clear, concise English value proposition at the top of the README

    Why:

    COPY-PASTE FIX
    HiveChat is an AI chat application specifically designed for small and medium-sized teams, offering centralized management and access to multiple large language models like Deepseek, OpenAI, Claude, and Gemini, complete with user grouping and token quota controls.
  • mediumreadme#3
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    This project is released under [Specify License Name(s) here, e.g., 'a custom license' or 'a combination of X and Y licenses']. Please refer to the LICENSE file for full details.

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 HiveNexus/HiveChat
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
FastAPI
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. FastAPI · recommended 2×
  2. LangChain · recommended 2×
  3. Hugging Face Inference Endpoints · recommended 2×
  4. OpenAI API · recommended 1×
  5. Next.js · recommended 1×
  • CATEGORY QUERY
    How to deploy a multi-model AI chat platform for my team with user management?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Next.js
    3. FastAPI
    4. LangChain
    5. LlamaIndex
    6. Azure OpenAI Service
    7. Azure Active Directory (Azure AD)
    8. AWS Bedrock
    9. AWS IAM
    10. Amazon Cognito
    11. Hugging Face Inference Endpoints
    12. Keycloak

    AI recommended 12 alternatives but never named HiveNexus/HiveChat. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an internal AI chatbot solution to manage various LLM access and user quotas.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. FastAPI
    3. Django
    4. OpenAI Assistants API
    5. Hugging Face Inference Endpoints
    6. Botpress
    7. Rasa
    8. Azure AI Studio
    9. Google Cloud Dialogflow CX
    10. Azure API Management
    11. Google Apigee
    12. Python
    13. Node.js
    14. openai
    15. anthropic
    16. google-generativeai

    AI recommended 16 alternatives but never named HiveNexus/HiveChat. 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 HiveNexus/HiveChat?
    pass
    AI named HiveNexus/HiveChat explicitly

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

  • If a team adopts HiveNexus/HiveChat in production, what risks or prerequisites should they evaluate first?
    pass
    AI named HiveNexus/HiveChat 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 HiveNexus/HiveChat solve, and who is the primary audience?
    pass
    AI named HiveNexus/HiveChat 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 HiveNexus/HiveChat. 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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HiveNexus/HiveChat — 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