RRepoGEO

REPOGEO REPORT · LITE

ai-christianson/RA.Aid

Default branch master · commit e71bb83d · scanned 5/22/2026, 4:27:49 PM

GitHub: 2,225 stars · 211 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
40 /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
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 ai-christianson/RA.Aid, 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 README opening to clarify project identity

    Why:

    CURRENT
    **Develop software autonomously.**
    RA.Aid (pronounced "raid") helps you develop software autonomously. It is a standalone coding agent built on LangGraph's agent-based task execution framework.
    COPY-PASTE FIX
    **RA.Aid (pronounced "raid") is a standalone coding agent for autonomous software development.** It helps you develop software autonomously by assisting with research, planning, and implementation of multi-step development tasks. *Note: 'RA' in RA.Aid refers to 'Raid', not 'Risk Assessment' or 'Rheumatoid Arthritis'.*
  • mediumreadme#2
    Add a comparison section to the README

    Why:

    COPY-PASTE FIX
    Add a new section titled 'Comparison with Alternatives' or 'How RA.Aid Compares' to the README, outlining RA.Aid's unique features or approach compared to tools like Cursor, GitHub Copilot Workspace, or SWE-bench.
  • lowabout#3
    Expand the repository's 'About' description

    Why:

    CURRENT
    Develop software autonomously.
    COPY-PASTE FIX
    An autonomous software development agent that assists with research, planning, and coding of engineering tasks.

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 ai-christianson/RA.Aid
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Cursor
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Cursor · recommended 1×
  2. GitHub Copilot Workspace · recommended 1×
  3. Adept AI · recommended 1×
  4. OpenAI's GPT-4 · recommended 1×
  5. SWE-bench · recommended 1×
  • CATEGORY QUERY
    What tools can autonomously develop software features from a high-level description?
    you: not recommended
    AI recommended (in order):
    1. Cursor
    2. GitHub Copilot Workspace
    3. Adept AI
    4. OpenAI's GPT-4
    5. SWE-bench

    AI recommended 5 alternatives but never named ai-christianson/RA.Aid. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an AI agent to assist with research, planning, and coding of engineering tasks.
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot Enterprise
    2. Cursor (cursor-sh/cursor)
    3. GPT-4
    4. Google Gemini Advanced
    5. Tabnine (tabnine/tabnine-vscode)
    6. Cody by Sourcegraph (sourcegraph/cody)

    AI recommended 6 alternatives but never named ai-christianson/RA.Aid. 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 ai-christianson/RA.Aid?
    pass
    AI named ai-christianson/RA.Aid explicitly

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

  • If a team adopts ai-christianson/RA.Aid in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ai-christianson/RA.Aid 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 ai-christianson/RA.Aid solve, and who is the primary audience?
    pass
    AI named ai-christianson/RA.Aid explicitly

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

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ai-christianson/RA.Aid — 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