RRepoGEO

REPOGEO REPORT · LITE

shobrook/adrenaline

Default branch master · commit 7520e9cc · scanned 5/16/2026, 7:47:36 PM

GitHub: 3,753 stars · 308 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
28 /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
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 shobrook/adrenaline, 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
    Reposition the README's opening statement to clarify it's a tool, not just an issues repo, and its primary function.

    Why:

    CURRENT
    This is an issues-only repository for Adrenaline, **your AI expert on everything technical.**
    COPY-PASTE FIX
    Adrenaline is an AI-powered tool that helps you chat with and visualize your codebase, acting as your AI expert on everything technical. This repository is dedicated to tracking issues and feature requests for Adrenaline.
  • mediumlicense#2
    Add a LICENSE file to the repository.

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
  • lowtopics#3
    Refine topics to emphasize unique capabilities like diagram generation and codebase understanding.

    Why:

    CURRENT
    ai, chatbot, codegen, developer-tool, gpt-4, llm, static-analysis
    COPY-PASTE FIX
    ai, chatbot, codebase-understanding, code-visualization, diagram-generation, developer-tool, gpt-4, llm, static-analysis

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 shobrook/adrenaline
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Gemini
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Gemini · recommended 2×
  2. GitHub Copilot Chat · recommended 1×
  3. Cursor · recommended 1×
  4. sourcegraph/cody · recommended 1×
  5. Tabnine · recommended 1×
  • CATEGORY QUERY
    What AI tools help developers understand complex codebases and documentation?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot Chat
    2. Cursor
    3. Sourcegraph Cody (sourcegraph/cody)
    4. Tabnine
    5. Codeium
    6. OpenAI GPT-4
    7. ChatGPT Enterprise
    8. Google Gemini
    9. Bard Advanced

    AI recommended 9 alternatives but never named shobrook/adrenaline. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can AI assist with generating diagrams from code or answering technical questions?
    you: not recommended
    AI recommended (in order):
    1. Mermaid.js (mermaid-js/mermaid)
    2. PlantUML (plantuml/plantuml)
    3. Graphviz (graphviz/graphviz)
    4. Code2flow
    5. Lucidchart
    6. ChatGPT
    7. Google Gemini
    8. GitHub Copilot
    9. Perplexity AI
    10. Stack Overflow

    AI recommended 10 alternatives but never named shobrook/adrenaline. 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 shobrook/adrenaline?
    pass
    AI did not name shobrook/adrenaline — 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 shobrook/adrenaline in production, what risks or prerequisites should they evaluate first?
    pass
    AI named shobrook/adrenaline 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 shobrook/adrenaline solve, and who is the primary audience?
    pass
    AI named shobrook/adrenaline 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 shobrook/adrenaline. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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shobrook/adrenaline — 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