RRepoGEO

REPOGEO REPORT · LITE

obot-platform/nanobot

Default branch main · commit 19327eba · scanned 5/19/2026, 6:12:16 AM

GitHub: 1,313 stars · 192 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 obot-platform/nanobot, 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
    Move the core value proposition above the development warning in README

    Why:

    CURRENT
    The README's first content after the H1 is a 'Warning' block, followed by the project's description.
    COPY-PASTE FIX
    Move the paragraph 'Nanobot enables building agents with MCP and MCP-UI by providing a flexible MCP host. While existing applications like VSCode, Claude, Cursor, ChatGPT, and Goose all include an MCP host, Nanobot is designed to be a standalone, open-source MCP host that can be easily deployed or integrated into your applications. You can use Nanobot to create your own dedicated MCP and MCP-UI powered chatbot.' to appear immediately after the H1, before the 'Warning' block.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    ai-agents, llm-host, mcp, chatbot, agent-platform, open-source, ai-development
  • mediumreadme#3
    Add a 'Why Nanobot?' or 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    Add a section like: '## Why Nanobot? While frameworks like LangChain and LlamaIndex provide comprehensive toolkits for building LLM applications, Nanobot distinguishes itself as a dedicated, standalone, and easily deployable open-source MCP host. It's designed for developers who need a flexible platform to run custom AI agents using the MCP and MCP-UI protocols, offering a focused solution for deploying agent experiences rather than a broad orchestration library.'

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 obot-platform/nanobot
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
run-llama/llama_index
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. run-llama/llama_index · recommended 1×
  2. langchain-ai/langchain · recommended 1×
  3. ollama/ollama · recommended 1×
  4. LM Studio · recommended 1×
  5. vllm-project/vllm · recommended 1×
  • CATEGORY QUERY
    How to build custom AI agents with an open-source LLM host?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex (run-llama/llama_index)
    2. LangChain (langchain-ai/langchain)
    3. Ollama (ollama/ollama)
    4. LM Studio
    5. vLLM (vllm-project/vllm)
    6. LiteLLM (BerriAI/litellm)
    7. Hugging Face Transformers (huggingface/transformers)

    AI recommended 7 alternatives but never named obot-platform/nanobot. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a flexible platform to deploy custom AI agent experiences.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Hugging Face Spaces
    3. Vercel
    4. Google Cloud Run
    5. AWS Lambda
    6. AWS API Gateway
    7. Render
    8. Replicate

    AI recommended 8 alternatives but never named obot-platform/nanobot. 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 obot-platform/nanobot?
    pass
    AI named obot-platform/nanobot explicitly

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

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

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

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obot-platform/nanobot — 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