RRepoGEO

REPOGEO REPORT · LITE

charmbracelet/fantasy

Default branch main · commit 04233bde · scanned 6/16/2026, 9:01:46 PM

GitHub: 836 stars · 110 forks

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 charmbracelet/fantasy, 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 strong, explicit repositioning statement to the README's opening

    Why:

    CURRENT
    Build AI agents with Go. Multi-provider, multi-model, one API.
    COPY-PASTE FIX
    Fantasy is a Go framework for building intelligent AI agents. It provides a unified API for multiple LLM providers and models, making it easy to create powerful, tool-equipped agents.
  • hightopics#2
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    go, golang, ai, agents, llm, large-language-models, artificial-intelligence, multi-provider, openrouter, openai
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    [A relevant project or documentation URL, e.g., a dedicated project page or the GitHub repo itself]

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 charmbracelet/fantasy
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Go-LLM
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Go-LLM · recommended 1×
  2. LangChain Go · recommended 1×
  3. Gollum · recommended 1×
  4. Echo · recommended 1×
  5. Gin · recommended 1×
  • CATEGORY QUERY
    Looking for a Go framework to develop intelligent AI agents with pluggable models.
    you: not recommended
    AI recommended (in order):
    1. Go-LLM
    2. LangChain Go
    3. Gollum
    4. Echo
    5. Gin
    6. OpenAI Go Library
    7. Google Cloud Go SDK

    AI recommended 7 alternatives but never named charmbracelet/fantasy. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to integrate various large language models into Go applications using a single API?
    you: not recommended
    AI recommended (in order):
    1. Go-LLM/llm (Go-LLM/llm)
    2. OpenAI Go Library (sashabaranov/go-openai)
    3. LangChain Go (tmc/langchaingo)
    4. LiteLLM
    5. OpenRouter
    6. LocalAI
    7. Hugging Face Inference API

    AI recommended 7 alternatives but never named charmbracelet/fantasy. 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 charmbracelet/fantasy?
    pass
    AI named charmbracelet/fantasy explicitly

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

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

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

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Pro

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charmbracelet/fantasy — 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