RRepoGEO

REPOGEO REPORT · LITE

sear-chat/SearChat

Default branch main · commit 7423e2cb · scanned 5/20/2026, 8:02:11 PM

GitHub: 1,053 stars · 182 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
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 sear-chat/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 the README's initial content to immediately highlight SearChat's identity

    Why:

    CURRENT
    The README excerpt shows 'Recommended Open Source AI Project' immediately after the H1.
    COPY-PASTE FIX
    Move the 'Recommended Open Source AI Project' section to a later part of the README, ensuring SearChat's 'Project Overview' is the first substantial content after the title and badges.
  • mediumreadme#2
    Add a clear 'What is SearChat?' or 'Why SearChat?' section to the README

    Why:

    COPY-PASTE FIX
    Add a section like: '## 💡 What is SearChat? SearChat is a complete, self-hostable AI-powered conversational search engine designed for users who want a unified interface to interact with multiple LLMs (OpenAI, Anthropic, Gemini, etc.) and perform deep research using aggregated search results (SearXNG, Bing, Google). It provides a ready-to-deploy solution via Docker, eliminating the need to build from scratch.'
  • lowtopics#3
    Add `self-hostable` and `conversational-search` to the repository topics

    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-hostable, conversational-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 sear-chat/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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 2×
  2. run-llama/llama_index · recommended 2×
  3. elastic/elasticsearch · recommended 1×
  4. opensearch-project/OpenSearch · recommended 1×
  5. Pinecone · recommended 1×
  • CATEGORY QUERY
    How to build a conversational AI search engine with multi-model LLM support?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Elasticsearch (elastic/elasticsearch)
    4. OpenSearch (opensearch-project/OpenSearch)
    5. Pinecone
    6. Weaviate (weaviate/weaviate)
    7. Qdrant (qdrant/qdrant)
    8. Hugging Face Transformers (huggingface/transformers)
    9. FastAPI (tiangolo/fastapi)
    10. Flask (pallets/flask)
    11. Docker
    12. Kubernetes (kubernetes/kubernetes)

    AI recommended 12 alternatives but never named sear-chat/SearChat. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Self-hostable AI chat search engine for deep research using multiple LLMs and aggregated results.
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex (run-llama/llama_index)
    2. Haystack (deepset-ai/haystack)
    3. LangChain (langchain-ai/langchain)
    4. PrivateGPT (imartinez/privateGPT)
    5. Rasa (RasaHQ/rasa)
    6. You.com

    AI recommended 6 alternatives but never named sear-chat/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 sear-chat/SearChat?
    pass
    AI named sear-chat/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 sear-chat/SearChat in production, what risks or prerequisites should they evaluate first?
    pass
    AI named sear-chat/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 sear-chat/SearChat solve, and who is the primary audience?
    pass
    AI named sear-chat/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)
[![RepoGEO](https://repogeo.com/badge/sear-chat/SearChat.svg)](https://repogeo.com/en/r/sear-chat/SearChat)
HTML
<a href="https://repogeo.com/en/r/sear-chat/SearChat"><img src="https://repogeo.com/badge/sear-chat/SearChat.svg" alt="RepoGEO" /></a>
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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite