RRepoGEO

REPOGEO REPORT · LITE

tgoai/tgo

Default branch main · commit 995da457 · scanned 6/21/2026, 3:58:40 PM

GitHub: 500 stars · 96 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 tgoai/tgo, 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 a prominent, concise tagline to the README's top to prevent miscategorization

    Why:

    CURRENT
    The README currently starts with language links and then a "TGO Introduction" heading.
    COPY-PASTE FIX
    Insert the following line immediately after any project title/logo and before language links: "TGO is an open-source AI Agent Customer Service Platform."
  • mediumreadme#2
    Add a 'Why TGO?' or 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section, e.g., "## Why TGO? (Platform vs. Frameworks)" explaining how TGO is a complete, self-hostable platform for customer service, contrasting it with general-purpose LLM frameworks or component libraries.
  • lowreadme#3
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    Add a "## License" section to the README, stating the specific license(s) that apply to the project, e.g., "This project is licensed under [License Name 1] and [License Name 2]. See the LICENSE file for 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 tgoai/tgo
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 1×
  3. Hugging Face Transformers · recommended 1×
  4. Faiss · recommended 1×
  5. Chroma · recommended 1×
  • CATEGORY QUERY
    How can I build an open-source AI agent platform for customer support with LLM and RAG?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Hugging Face Transformers
    4. Faiss
    5. Chroma
    6. FastAPI
    7. Streamlit
    8. Gradio
    9. Docker

    AI recommended 9 alternatives but never named tgoai/tgo. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an open-source platform to orchestrate AI agents for multi-channel customer service and human handover.
    you: not recommended
    AI recommended (in order):
    1. Rasa Open Source
    2. LangChain
    3. Haystack (deepset/Haystack)
    4. Botpress
    5. Open-Assistant

    AI recommended 5 alternatives but never named tgoai/tgo. 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 tgoai/tgo?
    pass
    AI named tgoai/tgo explicitly

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

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

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

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tgoai/tgo — 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