RRepoGEO

REPOGEO REPORT · LITE

deepreinforce-ai/Ornith-1

Default branch main · commit 54d9383c · scanned 7/1/2026, 2:47:37 PM

GitHub: 873 stars · 80 forks

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 deepreinforce-ai/Ornith-1, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add a concise 'About' description to clarify the project's purpose

    Why:

    COPY-PASTE FIX
    Ornith-1.0 is a self-improving open-source foundation model for agentic coding, achieving state-of-the-art performance on coding benchmarks like SWE-Bench and Terminal-Bench 2.1.
  • mediumhomepage#2
    Add the project's homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    https://deep-reinforce.com/ornith.html

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 deepreinforce-ai/Ornith-1
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AutoGPT
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. AutoGPT · recommended 2×
  2. GPT-Engineer · recommended 2×
  3. MetaGPT · recommended 2×
  4. Smol-developer · recommended 1×
  5. Open Interpreter · recommended 1×
  • CATEGORY QUERY
    Looking for open-source self-improving AI models for agentic coding tasks.
    you: not recommended
    AI recommended (in order):
    1. AutoGPT
    2. GPT-Engineer
    3. Smol-developer
    4. Open Interpreter
    5. BabyAGI
    6. MetaGPT

    AI recommended 6 alternatives but never named deepreinforce-ai/Ornith-1. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best open-source coding agents achieving state-of-the-art performance on benchmarks?
    you: not recommended
    AI recommended (in order):
    1. Devin
    2. OpenDevin
    3. AutoGPT
    4. GPT-Engineer
    5. SWE-agent
    6. MetaGPT
    7. Smol-Developer

    AI recommended 7 alternatives but never named deepreinforce-ai/Ornith-1. 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 deepreinforce-ai/Ornith-1?
    pass
    AI named deepreinforce-ai/Ornith-1 explicitly

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

  • If a team adopts deepreinforce-ai/Ornith-1 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named deepreinforce-ai/Ornith-1 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 deepreinforce-ai/Ornith-1 solve, and who is the primary audience?
    pass
    AI named deepreinforce-ai/Ornith-1 explicitly

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

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deepreinforce-ai/Ornith-1 — 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