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
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.
- highreadme#1Emphasize 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#2Update the 'About' description to highlight customizable local search
Why:
CURRENTAgentSearch is a framework for powering search agents and enabling customizable local search.
COPY-PASTE FIXA 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#3Add specific topics for 'local search' and 'custom search'
Why:
CURRENTartificial-intelligence, information-retrieval, llms, rag, retrieval-augmented-generation, search, search-engine
COPY-PASTE FIXartificial-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.
- LangChain · recommended 2×
- LlamaIndex · recommended 2×
- Haystack · recommended 2×
- OpenAI API · recommended 1×
- Anthropic's Claude · recommended 1×
- CATEGORY QUERYHow can I build an AI agent that uses LLMs to process and summarize search results?you: not recommendedAI recommended (in order):
- LangChain
- LlamaIndex
- Haystack
- OpenAI API
- Anthropic's Claude
- Google's Gemini
- Google Custom Search API
- SerpAPI
- Brave Search API
- AutoGPT
- BabyAGI
- CrewAI
AI recommended 12 alternatives but never named SciPhi-AI/agent-search. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat tools help integrate diverse LLM models with various search engines for RAG applications?you: not recommendedAI recommended (in order):
- LangChain
- LlamaIndex
- Haystack
- OpenAI Assistants API
- 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 completenesspass
- README presencepass
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?passAI 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?passAI 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?passAI 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?
Embed your GEO score
Drop this badge into the README of SciPhi-AI/agent-search. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
[](https://repogeo.com/en/r/SciPhi-AI/agent-search)<a href="https://repogeo.com/en/r/SciPhi-AI/agent-search"><img src="https://repogeo.com/badge/SciPhi-AI/agent-search.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
SciPhi-AI/agent-search — 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