RRepoGEO

REPOGEO REPORT · LITE

pythops/tenere

Default branch master · commit f6e1ba67 · scanned 6/13/2026, 10:36:46 PM

GitHub: 670 stars · 34 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 pythops/tenere, 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
    Add an explicit introductory sentence to the README

    Why:

    COPY-PASTE FIX
    Tenere is a powerful terminal-based user interface (TUI) designed for seamless interaction with various large language models (LLMs) directly from your command line, offering features like chat history, syntax highlighting, and multiple backend support.
  • mediumreadme#2
    Add a 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    ## 🆚 Comparison

Tenere differentiates itself from LLM APIs (like LiteLLM or OpenAI Python Library) and local LLM servers (like Ollama or LM Studio) by focusing purely on the user interface. While those tools provide the underlying models or programmatic access, Tenere offers a rich, interactive terminal experience for managing conversations, history, and interacting with various LLM backends, acting as the user-facing layer.
  • lowtopics#3
    Expand topics with interaction-focused keywords

    Why:

    CURRENT
    chatgpt, cli, llamacpp, llm, ollama, ratatui, rust, tui
    COPY-PASTE FIX
    chatgpt, cli, llamacpp, llm, ollama, ratatui, rust, tui, llm-chat, terminal-llm, ai-cli, conversation-manager

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 pythops/tenere
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LiteLLM
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LiteLLM · recommended 2×
  2. Ollama · recommended 1×
  3. LM Studio · recommended 1×
  4. OpenAI Python Library · recommended 1×
  5. cURL · recommended 1×
  • CATEGORY QUERY
    I need a terminal-based UI for interacting with different large language model services.
    you: not recommended
    AI recommended (in order):
    1. Ollama
    2. LM Studio
    3. LiteLLM
    4. OpenAI Python Library
    5. cURL

    AI recommended 5 alternatives but never named pythops/tenere. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best command-line tools for managing LLM conversations with history and saving?
    you: not recommended
    AI recommended (in order):
    1. Open Interpreter
    2. Continue
    3. llm
    4. Chatbot UI
    5. LiteLLM
    6. openai Python library
    7. anthropic Python library
    8. ShellGPT (sgpt)

    AI recommended 8 alternatives but never named pythops/tenere. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 pythops/tenere?
    pass
    AI named pythops/tenere explicitly

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

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

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

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pythops/tenere — 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