RRepoGEO

REPOGEO REPORT · LITE

opencx-labs/OpenChat

Default branch main · commit 11eb3703 · scanned 5/21/2026, 8:26:24 PM

GitHub: 5,250 stars · 647 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 opencx-labs/OpenChat, 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 the repository

    Why:

    COPY-PASTE FIX
    chatbot, llm, custom-chatbot, rag, ai-assistant, self-hosted, no-code, low-code, gpt, open-source-ai
  • highreadme#2
    Strengthen the README's opening paragraph to clarify its category

    Why:

    CURRENT
    OpenChat is an everyday user chatbot console that simplifies the utilization of large language models. With the advancements in AI, the installation and usage of these models have become overwhelming. OpenChat aims to address this challenge by providing a two-step setup process to create a comprehensive chatbot console. It serves as a central hub for managing multiple customized chatbots.
    COPY-PASTE FIX
    OpenChat is a self-hostable, open-source chatbot console that simplifies building and managing custom AI assistants. It provides a comprehensive platform for everyday users to create unlimited chatbots with custom knowledge bases from documents and websites, serving as a powerful alternative to commercial custom GPT builders.
  • mediumreadme#3
    Add a 'What OpenChat Is (and Isn't)' section to the README

    Why:

    COPY-PASTE FIX
    ## What OpenChat Is (and Isn't)

OpenChat is a complete, user-friendly console for deploying and managing custom chatbots. It is designed for end-users and teams to quickly build AI assistants with their own data. OpenChat is not an AI development library or a vector database; instead, it leverages such technologies internally to provide a ready-to-use platform.

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 opencx-labs/OpenChat
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Voiceflow
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Voiceflow · recommended 2×
  2. botpress/botpress · recommended 2×
  3. langchain-ai/langchain · recommended 2×
  4. chroma-core/chroma · recommended 2×
  5. Pinecone · recommended 2×
  • CATEGORY QUERY
    How can I easily create a custom chatbot using my own documents and website content?
    you: not recommended
    AI recommended (in order):
    1. Chatbase
    2. CustomGPT
    3. Voiceflow
    4. Botpress (botpress/botpress)
    5. LangChain (langchain-ai/langchain)
    6. OpenAI
    7. Anthropic
    8. Cohere
    9. HuggingFaceEmbeddings
    10. Chroma (chroma-core/chroma)
    11. Pinecone
    12. FAISS (facebookresearch/faiss)

    AI recommended 12 alternatives but never named opencx-labs/OpenChat. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tool helps manage and deploy multiple AI chatbots with custom knowledge bases?
    you: not recommended
    AI recommended (in order):
    1. Botpress (botpress/botpress)
    2. Rasa (RasaHQ/rasa)
    3. Azure Bot Service
    4. Azure AI Search
    5. Google Dialogflow CX
    6. Google Cloud Search
    7. Vertex AI Search
    8. Voiceflow
    9. LangChain (langchain-ai/langchain)
    10. FastAPI (tiangolo/fastapi)
    11. Flask (pallets/flask)
    12. Pinecone
    13. Weaviate (weaviate/weaviate)
    14. Chroma (chroma-core/chroma)
    15. Qdrant (qdrant/qdrant)

    AI recommended 15 alternatives but never named opencx-labs/OpenChat. 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 opencx-labs/OpenChat?
    pass
    AI named opencx-labs/OpenChat explicitly

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

  • If a team adopts opencx-labs/OpenChat in production, what risks or prerequisites should they evaluate first?
    pass
    AI named opencx-labs/OpenChat 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 opencx-labs/OpenChat solve, and who is the primary audience?
    pass
    AI named opencx-labs/OpenChat explicitly

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

Embed your GEO score

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MARKDOWN (README)
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HTML
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opencx-labs/OpenChat — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite