RRepoGEO

REPOGEO REPORT · LITE

daveshap/LongtermChatExternalSources

Default branch main · commit 5ff59a47 · scanned 6/15/2026, 2:24:07 PM

GitHub: 621 stars · 138 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 daveshap/LongtermChatExternalSources, 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
  • hightopics#1
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    chatbot, llm, long-term-memory, external-sources, conversational-ai, gpt-3, python, ai-framework, reference-implementation
  • highreadme#2
    Reposition the README's opening to clarify its role as a framework/reference

    Why:

    CURRENT
    # LongtermChatExternalSources

GPT-3 chatbot with long-term memory and external sources.
    COPY-PASTE FIX
    # LongtermChatExternalSources: A Reference Implementation for Advanced Conversational AI

This repository provides a robust reference implementation for building GPT-3 powered conversational AI agents with sophisticated long-term memory and dynamic external data retrieval capabilities. It showcases a multi-layered, reflective memory architecture designed to overcome common LLM context window limitations and enhance conversational depth.
  • mediumhomepage#3
    Set a homepage URL for the repository

    Why:

    COPY-PASTE FIX
    Set the 'Homepage' field in your repository settings to a relevant URL (e.g., a project page, documentation, or a live demo).

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 daveshap/LongtermChatExternalSources
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. OpenAI Assistants API · recommended 1×
  4. Haystack · recommended 1×
  5. Microsoft Semantic Kernel · recommended 1×
  • CATEGORY QUERY
    How can I build a conversational AI agent with persistent memory and external data retrieval?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI Assistants API
    4. Haystack
    5. Microsoft Semantic Kernel

    AI recommended 5 alternatives but never named daveshap/LongtermChatExternalSources. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What Python libraries help create a chatbot that can access information beyond its training data?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack (deepset/Haystack)
    4. Faiss
    5. Sentence-Transformers
    6. Weaviate
    7. Pinecone
    8. Chroma
    9. Qdrant

    AI recommended 9 alternatives but never named daveshap/LongtermChatExternalSources. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    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 daveshap/LongtermChatExternalSources?
    pass
    AI named daveshap/LongtermChatExternalSources explicitly

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

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