RRepoGEO

REPOGEO REPORT · LITE

celaraze/cat

Default branch main · commit 9b5f0712 · scanned 6/6/2026, 9:13:06 AM

GitHub: 908 stars · 197 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 celaraze/cat, 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
    Replace the README with content relevant to an LLM assistant

    Why:

    CURRENT
    The entire README excerpt is about Laravel, not an LLM assistant.
    COPY-PASTE FIX
    Replace the entire README content with a description of 'Sebastian,' the LLM assistant. Start with: 'Sebastian is an advanced LLM assistant designed with a unique permanent memory system, enabling it to recall past interactions and context across sessions. This repository provides the core framework and components for building and deploying your own intelligent, stateful AI assistant.'
  • hightopics#2
    Add relevant topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    Add the following topics: `llm`, `ai-assistant`, `persistent-memory`, `chatbot`, `generative-ai`, `memory-management`
  • mediumlicense#3
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root, choosing an appropriate open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that aligns with your project's goals.

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 celaraze/cat
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. OpenAI Assistants API · recommended 1×
  4. Rasa · recommended 1×
  5. Microsoft Semantic Kernel · recommended 1×
  • CATEGORY QUERY
    How to build an AI assistant that remembers previous interactions and context?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI Assistants API
    4. Rasa
    5. Microsoft Semantic Kernel
    6. Haystack

    AI recommended 6 alternatives but never named celaraze/cat. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source solutions provide persistent memory for large language model applications?
    you: not recommended
    AI recommended (in order):
    1. PostgreSQL with pgvector
    2. Chroma
    3. Qdrant
    4. Weaviate
    5. Milvus
    6. Redis with Redis Stack (RediSearch/RedisJSON)
    7. Elasticsearch with vector search

    AI recommended 7 alternatives but never named celaraze/cat. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    Suggestion:

  • 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 celaraze/cat?
    pass
    AI named celaraze/cat explicitly

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

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

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

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celaraze/cat — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite