RRepoGEO

REPOGEO REPORT · LITE

XTraceAI/xtrace-sdk

Default branch main · commit 0f8522e4 · scanned 6/1/2026, 5:38:09 AM

GitHub: 994 stars · 254 forks

AI VISIBILITY SCORE
28 /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
2 / 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 XTraceAI/xtrace-sdk, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Update the repository description

    Why:

    CURRENT
    open source version xtrace sdk
    COPY-PASTE FIX
    An open-source Python SDK for XTrace, the encrypted vector database that keeps your data client-side encrypted for secure AI agent memory and vector search.
  • mediumreadme#2
    Clarify the README's initial positioning to emphasize 'encrypted vector database'

    Why:

    CURRENT
    The current README starts with a centered div containing a bolded paragraph: `<p><strong> The encrypted vector database.<br>Your data never leaves your machine in plaintext. </strong></p>` followed by `# What is XTrace?`
    COPY-PASTE FIX
    Ensure the very first line of the README (after any badges/images) clearly states: `# XTrace: The Encrypted Vector Database` and immediately follows with a concise sentence like: `XTrace is an open-source Python SDK for storing and searching vector embeddings with end-to-end client-side encryption, ensuring your data never leaves your machine in plaintext.`

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 XTraceAI/xtrace-sdk
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Pinecone
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Pinecone · recommended 2×
  2. google/tink · recommended 1×
  3. AWS KMS · recommended 1×
  4. Azure Key Vault · recommended 1×
  5. qdrant/qdrant · recommended 1×
  • CATEGORY QUERY
    How can I store and search vector embeddings while keeping data encrypted client-side?
    you: not recommended
    AI recommended (in order):
    1. Pinecone
    2. Google Tink (google/tink)
    3. AWS KMS
    4. Azure Key Vault
    5. Qdrant (qdrant/qdrant)
    6. Weaviate (weaviate/weaviate)
    7. Faiss (facebookresearch/faiss)
    8. Microsoft SEAL (microsoft/SEAL)
    9. Google TFHE (google/tfhe)
    10. Google Cloud KMS
    11. HashiCorp Vault (hashicorp/vault)

    AI recommended 11 alternatives but never named XTraceAI/xtrace-sdk. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are secure vector database options for managing sensitive AI agent memory?
    you: not recommended
    AI recommended (in order):
    1. Pinecone
    2. Weaviate
    3. Qdrant
    4. Milvus
    5. PostgreSQL with pgvector
    6. Chroma

    AI recommended 6 alternatives but never named XTraceAI/xtrace-sdk. 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 XTraceAI/xtrace-sdk?
    pass
    AI named XTraceAI/xtrace-sdk explicitly

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

  • If a team adopts XTraceAI/xtrace-sdk in production, what risks or prerequisites should they evaluate first?
    pass
    AI named XTraceAI/xtrace-sdk 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 XTraceAI/xtrace-sdk solve, and who is the primary audience?
    pass
    AI did not name XTraceAI/xtrace-sdk — 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

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XTraceAI/xtrace-sdk — 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