RRepoGEO

REPOGEO REPORT · LITE

SciPhi-AI/agent-search

Default branch main · commit b47b9327 · scanned 6/12/2026, 12:52:25 PM

GitHub: 531 stars · 50 forks

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 SciPhi-AI/agent-search, 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
    Emphasize customizable local search as the core differentiator in README's opening

    Why:

    CURRENT
    # AgentSearch: A framework for powering search agents and enabling customizable local search. 
    
     AgentSearch is a framework for powering search agents by seamlessly integrating LLM technologies from various providers with different search engines. This integration enables search agents to perform a wide range of functions through Retrieval-Augmented Generation (RAG), including summarizing search results, generating new queries, and retrieving detailed downstream results.
    COPY-PASTE FIX
    # AgentSearch: The framework for building LLM search agents with *customizable local search engines*. 
    
     AgentSearch is a powerful framework designed for powering search agents, uniquely enabling the deployment of *customizable local search engines* alongside seamless integration of diverse LLM technologies and external search APIs. This allows agents to perform advanced Retrieval-Augmented Generation (RAG) functions, from summarizing results to generating new queries and retrieving detailed downstream information, all powered by your own tailored search capabilities.
  • mediumabout#2
    Update the 'About' description to highlight customizable local search

    Why:

    CURRENT
    AgentSearch is a framework for powering search agents and enabling customizable local search.
    COPY-PASTE FIX
    A framework for building LLM search agents, uniquely enabling *customizable local search engines* and seamless integration of diverse LLMs and search APIs for advanced RAG applications.
  • lowtopics#3
    Add specific topics for 'local search' and 'custom search'

    Why:

    CURRENT
    artificial-intelligence, information-retrieval, llms, rag, retrieval-augmented-generation, search, search-engine
    COPY-PASTE FIX
    artificial-intelligence, information-retrieval, llms, rag, retrieval-augmented-generation, search, search-engine, local-search, custom-search

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 SciPhi-AI/agent-search
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. Haystack · recommended 2×
  4. OpenAI API · recommended 1×
  5. Anthropic's Claude · recommended 1×
  • CATEGORY QUERY
    How can I build an AI agent that uses LLMs to process and summarize search results?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. OpenAI API
    5. Anthropic's Claude
    6. Google's Gemini
    7. Google Custom Search API
    8. SerpAPI
    9. Brave Search API
    10. AutoGPT
    11. BabyAGI
    12. CrewAI

    AI recommended 12 alternatives but never named SciPhi-AI/agent-search. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help integrate diverse LLM models with various search engines for RAG applications?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. OpenAI Assistants API
    5. Microsoft Semantic Kernel

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