RRepoGEO

REPOGEO REPORT · LITE

zilliztech/deep-searcher

Default branch master · commit d89e37cd · scanned 6/30/2026, 3:43:08 AM

GitHub: 7,908 stars · 765 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 'deep research alternative' and solution status

    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, end-to-end solution for deep research and reasoning over private data, offering a powerful alternative to building complex systems from scratch with frameworks like LlamaIndex or LangChain. 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 search, evaluation, and reasoning, providing highly accurate answers and comprehensive reports. This project is ideal for enterprise knowledge management, intelligent Q&A systems, and advanced information retrieval scenarios.
  • mediumreadme#2
    Add a 'Comparison with Alternatives' section to the README

    Why:

    COPY-PASTE FIX
    ## 🆚 Comparison with Alternatives

DeepSearcher provides a more opinionated, integrated solution compared to general-purpose frameworks like LlamaIndex or LangChain. While those frameworks offer modularity for building custom RAG pipelines, DeepSearcher focuses on delivering a ready-to-deploy system specifically for deep research and reasoning on private enterprise data, minimizing setup and integration effort for common use cases.
  • lowreadme#3
    Clarify the project's readiness for production in the README

    Why:

    COPY-PASTE FIX
    While DeepSearcher currently serves as a powerful demo and reference architecture, it is actively being developed towards production readiness for enterprise-grade deep research and intelligent Q&A systems. We welcome contributions and feedback to accelerate this journey.

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
LlamaIndex
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LlamaIndex · recommended 2×
  2. LangChain · recommended 2×
  3. Elasticsearch · recommended 2×
  4. Haystack · recommended 1×
  5. OpenAI API · recommended 1×
  • CATEGORY QUERY
    How to build an intelligent Q&A system for internal enterprise documents using LLMs?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Haystack
    4. OpenAI API
    5. Azure AI Search
    6. Azure OpenAI Service
    7. AWS Kendra
    8. Amazon Bedrock
    9. Elasticsearch

    AI recommended 9 alternatives but never named zilliztech/deep-searcher. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an open-source solution to perform deep research and reasoning over private datasets.
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Hugging Face
    4. Llama 3
    5. Mistral
    6. Mixtral
    7. Falcon
    8. Gemma
    9. Ollama
    10. LM Studio
    11. vLLM
    12. Apache Spark
    13. MLlib
    14. GraphX
    15. Jupyter Notebooks
    16. JupyterLab
    17. Pandas
    18. NumPy
    19. SciPy
    20. Scikit-learn
    21. spaCy
    22. NLTK
    23. Elasticsearch
    24. Kibana
    25. Neo4j Community Edition
    26. Cypher
    27. DuckDB
    28. Polars

    AI recommended 28 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