RRepoGEO

REPOGEO REPORT · LITE

zilliztech/deep-searcher

Default branch master · commit d89e37cd · scanned 5/18/2026, 8:58:09 PM

GitHub: 7,832 stars · 759 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
27 /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
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 zilliztech/deep-searcher, 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 emphasize "AI system for deep research"

    Why:

    CURRENT
    DeepSearcher combines cutting-edge LLMs (OpenAI o3, Qwen3, DeepSeek, Grok 4, Claude 4 Sonnet, Llama 4, QwQ, etc.) and Vector Databases (Milvus, Zilliz Cloud etc.) to perform search, evaluation, and reasoning based on private data, providing highly accurate answer and comprehensive report. This project is suitable for enterprise knowledge management, intelligent Q&A systems, and information retrieval scenarios.
    COPY-PASTE FIX
    DeepSearcher is an open-source AI system designed as a powerful alternative for deep research and reasoning over private enterprise data. It combines cutting-edge LLMs (OpenAI o3, Qwen3, DeepSeek, Grok 4, Claude 4 Sonnet, Llama 4, QwQ, etc.) and Vector Databases (Milvus, Zilliz Cloud etc.) to perform comprehensive search, evaluation, and reasoning, providing highly accurate answers and detailed reports. This project is ideal for enterprise knowledge management, intelligent Q&A systems, and advanced information retrieval scenarios.
  • hightopics#2
    Add specific topics for "AI system" and "deep research system"

    Why:

    CURRENT
    agent, agentic-rag, claude, deep-research, deepseek, deepseek-r1, grok, grok3, llama4, llm, milvus, openai, qwen3, rag, reasoning-models, vector-database, zilliz
    COPY-PASTE FIX
    agent, agentic-rag, ai-agent, ai-system, deep-research, deep-research-system, enterprise-ai, knowledge-management, llm-agent, private-data, reasoning-engine, vector-database, zilliz
  • mediumreadme#3
    Clarify project maturity to counter "demo project" inference

    Why:

    COPY-PASTE FIX
    Add to the end of the first paragraph: "While DeepSearcher includes a demo for quick evaluation, it is designed as a robust, extensible platform for production-grade enterprise knowledge management and AI-driven research."

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 zilliztech/deep-searcher
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
apache/tika
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. apache/tika · recommended 1×
  2. Unstructured-IO/unstructured · recommended 1×
  3. elastic/elasticsearch · recommended 1×
  4. Pinecone · recommended 1×
  5. weaviate/weaviate · recommended 1×
  • CATEGORY QUERY
    How to build an AI system for deep research and reasoning over private enterprise documents?
    you: not recommended
    AI recommended (in order):
    1. Apache Tika (apache/tika)
    2. Unstructured.io (Unstructured-IO/unstructured)
    3. Elasticsearch (elastic/elasticsearch)
    4. Pinecone
    5. Weaviate (weaviate/weaviate)
    6. OpenAI Embeddings
    7. Cohere Embeddings
    8. Hugging Face Transformers (huggingface/transformers)
    9. OpenAI GPT-4
    10. GPT-3.5 Turbo
    11. Anthropic Claude 3
    12. Google Gemini
    13. Llama 3 (meta-llama/llama3)
    14. LangChain (langchain-ai/langchain)
    15. LlamaIndex (run-llama/llama_index)
    16. Streamlit (streamlit/streamlit)
    17. Gradio (gradio-app/gradio)

    AI recommended 17 alternatives but never named zilliztech/deep-searcher. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Open-source Python framework for building an AI agent to reason over private knowledge bases?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Haystack
    4. Rasa
    5. DSPy

    AI recommended 5 alternatives but never named zilliztech/deep-searcher. 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 zilliztech/deep-searcher?
    pass
    AI did not name zilliztech/deep-searcher — 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 zilliztech/deep-searcher in production, what risks or prerequisites should they evaluate first?
    pass
    AI named zilliztech/deep-searcher 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 zilliztech/deep-searcher solve, and who is the primary audience?
    pass
    AI did not name zilliztech/deep-searcher — 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?

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zilliztech/deep-searcher — 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