RRepoGEO

REPOGEO REPORT · LITE

Pokee-AI/PokeeResearchOSS

Default branch main · commit 9b2d9f47 · scanned 5/13/2026, 8:47:53 AM

GitHub: 1,105 stars · 439 forks

AI VISIBILITY SCORE
22 /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
1 / 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 Pokee-AI/PokeeResearchOSS, 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 improve categorization

    Why:

    COPY-PASTE FIX
    ["ai-agent", "deep-research", "llm-agent", "web-search", "content-reading", "question-answering", "rag", "citation-generation", "research-reports", "open-source-llm"]
  • highreadme#2
    Clarify the README's opening statement to emphasize the model and its output

    Why:

    CURRENT
    This repository hosts Pokee’s state-of-the-art 7B DeepResearch Agent, which integrates web search and content reading capabilities to answer complex questions using the most up-to-date information available online.
    COPY-PASTE FIX
    This repository hosts Pokee’s state-of-the-art PokeeResearch-7B Agent, an open-source model designed for deep web research and generating comprehensive, citation-rich reports by integrating web search and content reading capabilities.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://pokee.ai

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 Pokee-AI/PokeeResearchOSS
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Pinecone
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Pinecone · recommended 2×
  2. LangChain · recommended 1×
  3. Beautiful Soup · recommended 1×
  4. Selenium · recommended 1×
  5. Hugging Face Transformers · recommended 1×
  • CATEGORY QUERY
    How to implement an AI agent for deep web research and complex question answering?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Beautiful Soup
    3. Selenium
    4. Hugging Face Transformers
    5. Elasticsearch
    6. Pinecone
    7. Weaviate
    8. Scrapy
    9. OpenAI API
    10. Anthropic API
    11. Google Gemini API

    AI recommended 11 alternatives but never named Pokee-AI/PokeeResearchOSS. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are cost-effective open-source models for generating comprehensive, citation-rich research reports?
    you: not recommended
    AI recommended (in order):
    1. Llama 3
    2. Mistral 7B Instruct
    3. Mixtral 8x7B Instruct
    4. Gemma
    5. OpenHermes 2.5 Mistral 7B
    6. Zephyr 7B Beta
    7. ChromaDB (chroma-core/chroma)
    8. Weaviate (weaviate/weaviate)
    9. Pinecone
    10. Pandoc (jgm/pandoc)

    AI recommended 10 alternatives but never named Pokee-AI/PokeeResearchOSS. 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 Pokee-AI/PokeeResearchOSS?
    pass
    AI did not name Pokee-AI/PokeeResearchOSS — 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 Pokee-AI/PokeeResearchOSS in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name Pokee-AI/PokeeResearchOSS — 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?

  • In one sentence, what problem does the repo Pokee-AI/PokeeResearchOSS solve, and who is the primary audience?
    pass
    AI named Pokee-AI/PokeeResearchOSS explicitly

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

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Pokee-AI/PokeeResearchOSS — 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