RRepoGEO

REPOGEO REPORT · LITE

steve02081504/fount

Default branch master · commit de16d811 · scanned 6/14/2026, 1:16:43 AM

GitHub: 705 stars · 57 forks

AI VISIBILITY SCORE
33 /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
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 steve02081504/fount, 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
  • highabout#1
    Update the repository description to be more explicit

    Why:

    CURRENT
    ⛲Imagination, Given Voice.✨
    COPY-PASTE FIX
    A programmable, modular runtime platform for highly customizable AI agents and characters, designed for deep integration.
  • highreadme#2
    Elevate the core project definition to the top of the README

    Why:

    CURRENT
    The README starts with <details><summary><small>TL;DR</small></summary>fount is a programmable, standardised, modular, customisable agent runtime platform...
    COPY-PASTE FIX
    fount is a programmable, standardised, modular, customisable agent runtime platform that loads various parts to provide services. It enables building advanced AI agents and characters with deep integration into IDEs, browsers, terminals, Discord, and other platforms.
  • mediumlicense#3
    Add a clear statement about the project's license to the README

    Why:

    COPY-PASTE FIX
    ## License
This project is licensed under the terms specified in the [LICENSE](LICENSE) file. Please refer to the file for full details on applicable licenses.

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 steve02081504/fount
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. Microsoft Semantic Kernel · recommended 1×
  4. Haystack · recommended 1×
  5. AutoGen · recommended 1×
  • CATEGORY QUERY
    How to build a highly customizable AI agent with programmable logic?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Microsoft Semantic Kernel
    4. Haystack
    5. AutoGen
    6. CrewAI

    AI recommended 6 alternatives but never named steve02081504/fount. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Framework for integrating sophisticated AI characters into development environments and chat platforms?
    you: not recommended
    AI recommended (in order):
    1. Inworld AI
    2. Character AI
    3. OpenAI API
    4. LangChain
    5. Hugging Face Transformers
    6. Replika

    AI recommended 6 alternatives but never named steve02081504/fount. 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 steve02081504/fount?
    pass
    AI named steve02081504/fount explicitly

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

  • If a team adopts steve02081504/fount in production, what risks or prerequisites should they evaluate first?
    pass
    AI named steve02081504/fount 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 steve02081504/fount solve, and who is the primary audience?
    pass
    AI did not name steve02081504/fount — 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?

Embed your GEO score

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MARKDOWN (README)
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steve02081504/fount — 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