RRepoGEO

REPOGEO REPORT · LITE

SakanaAI/fugu

Default branch main · commit 6e1d0a19 · scanned 6/27/2026, 10:31:50 PM

GitHub: 581 stars · 70 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
2 / 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 SakanaAI/fugu, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Clarify Fugu's role as an orchestration system for other LLMs in the README's opening

    Why:

    CURRENT
    Sakana Fugu is a multi-agent system delivered as one model. Fugu dynamically orchestrates frontier models to tackle complex, multi-step tasks. You can access the multi-agent system as a single LLM through the Sakana API, which supports both Chat Completions and Responses endpoints.
    COPY-PASTE FIX
    Sakana Fugu is a multi-agent orchestration system that dynamically coordinates and combines multiple frontier models to tackle complex, multi-step tasks. It provides a unified API endpoint, allowing you to access this powerful multi-agent capability as if it were a single, intelligent LLM, supporting both Chat Completions and Responses.
  • highabout#2
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    A multi-agent orchestration system that dynamically coordinates and combines multiple frontier models, accessible via a unified API as a single LLM.

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 SakanaAI/fugu
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 2×
  3. Haystack · recommended 2×
  4. Microsoft Semantic Kernel · recommended 2×
  5. Guidance · recommended 2×
  • CATEGORY QUERY
    How to build AI systems that dynamically combine multiple LLMs for complex problems?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. Microsoft Semantic Kernel
    5. OpenAI Function Calling / Tool Use
    6. Guidance

    AI recommended 6 alternatives but never named SakanaAI/fugu. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help orchestrate various large language models for better task performance?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. Microsoft Semantic Kernel
    5. OpenAI Assistants API
    6. LiteLLM
    7. Guidance

    AI recommended 7 alternatives but never named SakanaAI/fugu. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 SakanaAI/fugu?
    pass
    AI did not name SakanaAI/fugu — likely talking about a different project

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

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

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

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite