RRepoGEO

REPOGEO REPORT · LITE

PolarSeeker/OpenSeeker

Default branch main · commit 954a286a · scanned 5/31/2026, 3:12:56 PM

GitHub: 736 stars · 55 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 PolarSeeker/OpenSeeker, 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
  • highreadme#1
    Expand the README's 'Overview' to clarify its function as an AI agent framework

    Why:

    CURRENT
    OpenSeeker is an open-source search agent system
    COPY-PASTE FIX
    OpenSeeker is an open-source AI search agent framework designed for complex information retrieval, autonomous web browsing, and information extraction tasks. It provides fully open-sourced training data and models to democratize frontier search agents.
  • 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 or Apache-2.0. This is crucial for clarity and adoption.)

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 PolarSeeker/OpenSeeker
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LlamaIndex
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LlamaIndex · recommended 2×
  2. LangChain · recommended 2×
  3. deepset/haystack · recommended 1×
  4. RAGatouille · recommended 1×
  5. OpenSearch · recommended 1×
  • CATEGORY QUERY
    What are some open-source search agent frameworks for complex information retrieval tasks?
    you: not recommended
    AI recommended (in order):
    1. Haystack (deepset/haystack)
    2. LlamaIndex
    3. LangChain
    4. RAGatouille
    5. OpenSearch

    AI recommended 5 alternatives but never named PolarSeeker/OpenSeeker. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I build an AI agent capable of autonomous web browsing and information extraction?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Selenium
    3. Playwright
    4. OpenAI's GPT-4
    5. Anthropic's Claude
    6. LlamaIndex
    7. BeautifulSoup
    8. Autogen
    9. Puppeteer
    10. Scrapy
    11. Claude 3
    12. Llama 3

    AI recommended 12 alternatives but never named PolarSeeker/OpenSeeker. 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 PolarSeeker/OpenSeeker?
    pass
    AI named PolarSeeker/OpenSeeker explicitly

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

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

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

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MARKDOWN (README)
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PolarSeeker/OpenSeeker — 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