RRepoGEO

REPOGEO REPORT · LITE

inclusionAI/ASearcher

Default branch main · commit c88260ee · scanned 6/12/2026, 12:02:48 PM

GitHub: 594 stars · 38 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 inclusionAI/ASearcher, 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
  • hightopics#1
    Add specific topics to the repository

    Why:

    COPY-PASTE FIX
    reinforcement-learning, search-agents, large-scale-rl, llm-agents, online-rl, deep-learning, ai-agents, huggingface
  • highlicense#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).
  • mediumhomepage#3
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://arxiv.org/abs/2508.07976

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 inclusionAI/ASearcher
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI Gym / Gymnasium
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI Gym / Gymnasium · recommended 1×
  2. DLR-RM/stable-baselines3 · recommended 1×
  3. ray-project/ray · recommended 1×
  4. PyTorch / TensorFlow · recommended 1×
  5. Elasticsearch / Solr · recommended 1×
  • CATEGORY QUERY
    How can I build an intelligent search agent using reinforcement learning techniques?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Gym / Gymnasium
    2. Stable Baselines3 (SB3) (DLR-RM/stable-baselines3)
    3. Ray RLlib (ray-project/ray)
    4. PyTorch / TensorFlow
    5. Elasticsearch / Solr
    6. Hugging Face Transformers (huggingface/transformers)

    AI recommended 6 alternatives but never named inclusionAI/ASearcher. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source frameworks exist for large-scale RL training of high-performance search systems?
    you: not recommended
    AI recommended (in order):
    1. Ray RLlib
    2. Tianshou
    3. Acme
    4. Catalyst.RL
    5. Stable Baselines3

    AI recommended 5 alternatives but never named inclusionAI/ASearcher. 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 inclusionAI/ASearcher?
    pass
    AI named inclusionAI/ASearcher explicitly

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

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

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

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inclusionAI/ASearcher — 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