RRepoGEO

REPOGEO REPORT · LITE

IQuestLab/IQuest-Coder-V1

Default branch main · commit d3e5f0e7 · scanned 5/21/2026, 10:47:44 PM

GitHub: 1,379 stars · 97 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
30 /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
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 IQuestLab/IQuest-Coder-V1, 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
    Add a concise description and relevant topics to the repository

    Why:

    COPY-PASTE FIX
    IQuest-Coder-V1 is a family of large language models (7B, 14B, 40B) optimized for coding, tool use, CLI agents (like Claude Code and OpenCode), and HTML/SVG generation, featuring 128K context windows.
  • hightopics#2
    Add a concise description and relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ["llm", "code-generation", "cli-agent", "tool-use", "html-generation", "svg-generation", "large-language-models", "ai-coding-assistant", "deep-learning"]
  • mediumreadme#3
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    Add a section to your README, for example: `## License
This project is released under the terms specified in the [LICENSE file](LICENSE). Please refer to the file for full details on usage and distribution.`

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 IQuestLab/IQuest-Coder-V1
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Gemini 1.5 Pro
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Gemini 1.5 Pro · recommended 2×
  2. GPT-4 · recommended 1×
  3. Claude 3 Opus · recommended 1×
  4. Llama 3 · recommended 1×
  5. Code Llama · recommended 1×
  • CATEGORY QUERY
    Looking for a large language model optimized for coding, tool use, and CLI agent development.
    you: not recommended
    AI recommended (in order):
    1. GPT-4
    2. Claude 3 Opus
    3. Gemini 1.5 Pro
    4. Llama 3
    5. Code Llama
    6. Mixtral 8x7B

    AI recommended 6 alternatives but never named IQuestLab/IQuest-Coder-V1. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best LLMs for generating HTML/SVG code with very long context windows?
    you: not recommended
    AI recommended (in order):
    1. Claude 3 Opus / Claude 3 Sonnet
    2. GPT-4 Turbo
    3. Gemini 1.5 Pro
    4. Llama 3 (70B Instruct)
    5. Mixtral 8x22B (Instruct)

    AI recommended 5 alternatives but never named IQuestLab/IQuest-Coder-V1. 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 IQuestLab/IQuest-Coder-V1?
    pass
    AI named IQuestLab/IQuest-Coder-V1 explicitly

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

  • If a team adopts IQuestLab/IQuest-Coder-V1 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named IQuestLab/IQuest-Coder-V1 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 IQuestLab/IQuest-Coder-V1 solve, and who is the primary audience?
    pass
    AI named IQuestLab/IQuest-Coder-V1 explicitly

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

Embed your GEO score

Drop this badge into the README of IQuestLab/IQuest-Coder-V1. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/IQuestLab/IQuest-Coder-V1.svg)](https://repogeo.com/en/r/IQuestLab/IQuest-Coder-V1)
HTML
<a href="https://repogeo.com/en/r/IQuestLab/IQuest-Coder-V1"><img src="https://repogeo.com/badge/IQuestLab/IQuest-Coder-V1.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

IQuestLab/IQuest-Coder-V1 — 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