RRepoGEO

REPOGEO REPORT · LITE

yokingma/SearChat

Default branch main · commit 7423e2cb · scanned 5/28/2026, 8:46:57 PM

GitHub: 1,053 stars · 183 forks

AI VISIBILITY SCORE
40 /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
3 / 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 yokingma/SearChat, 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 H1 tagline to emphasize "deployable application"

    Why:

    CURRENT
    **AI-powered conversational search engineMulti-model integration | Real-time conversational search | Deep Research support*
    COPY-PASTE FIX
    **SearChat: Your self-hostable, AI-powered conversational search engine. Ready-to-deploy with multi-model integration and real-time search.**
  • mediumcomparison#2
    Add a "SearChat vs. Frameworks" comparison section

    Why:

    COPY-PASTE FIX
    Add a new section to your README, for example: `## SearChat vs. AI Frameworks (LangChain, LlamaIndex)

SearChat is a complete, self-hostable application designed for immediate deployment, unlike frameworks such as LangChain or LlamaIndex which provide libraries for building AI systems from scratch.`
  • mediumtopics#3
    Add specific topics to clarify "deployable application" nature

    Why:

    CURRENT
    ai, anthropic, deepresearch, gemini, llm, mcp, openai, rag, search, searxng, vertexai
    COPY-PASTE FIX
    ai, anthropic, deepresearch, gemini, llm, mcp, openai, rag, search, searxng, vertexai, self-hosted, conversational-ai, application, search-engine

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 yokingma/SearChat
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 1×
  2. OpenAI API · recommended 1×
  3. GPT-4o · recommended 1×
  4. GPT-4 · recommended 1×
  5. Pinecone · recommended 1×
  • CATEGORY QUERY
    How to build an AI assistant that combines chat with real-time search capabilities?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. OpenAI API
    3. GPT-4o
    4. GPT-4
    5. Pinecone
    6. Weaviate (weaviate/weaviate)
    7. Google Search API
    8. SerpAPI
    9. LlamaIndex (run-llama/llama_index)
    10. Chroma (chroma-core/chroma)
    11. Qdrant (qdrant/qdrant)
    12. Microsoft Azure AI Studio
    13. Azure OpenAI Service
    14. Azure Cognitive Search
    15. Bing Search API
    16. Google Cloud Vertex AI
    17. Gemini
    18. PaLM
    19. Google Cloud Search
    20. Rasa (RasaHQ/rasa)
    21. Elasticsearch (elastic/elasticsearch)

    AI recommended 21 alternatives but never named yokingma/SearChat. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source solutions integrate multiple LLM providers and search engines for conversational AI?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. Botpress
    5. Rasa
    6. Open Assistant

    AI recommended 6 alternatives but never named yokingma/SearChat. 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 yokingma/SearChat?
    pass
    AI named yokingma/SearChat explicitly

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

  • If a team adopts yokingma/SearChat in production, what risks or prerequisites should they evaluate first?
    pass
    AI named yokingma/SearChat 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 yokingma/SearChat solve, and who is the primary audience?
    pass
    AI named yokingma/SearChat explicitly

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

Embed your GEO score

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MARKDOWN (README)
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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite