RRepoGEO

REPOGEO REPORT · LITE

enjalot/latent-scope

Default branch main · commit c6eaba87 · scanned 6/10/2026, 1:16:59 AM

GitHub: 758 stars · 34 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
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 enjalot/latent-scope, 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
  • highreadme#1
    Reposition the README's opening paragraph to emphasize 'application' and 'workflow'

    Why:

    CURRENT
    Quickly embed, project, cluster and explore a dataset with open models locally or via API. This project is a new kind of workflow + tool for visualizing and exploring datasets through the lens of latent spaces.
    COPY-PASTE FIX
    Latent Scope is an **interactive web application and end-to-end workflow platform** for visualizing and exploring datasets through the lens of latent spaces. It allows you to quickly embed, project, cluster, and explore unstructured data with open models locally or via API, providing a complete scientific instrument for latent space investigation.
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://latent.estate/scope/

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 enjalot/latent-scope
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
tensorflow/tensorboard
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. tensorflow/tensorboard · recommended 1×
  2. lmcinnes/umap · recommended 1×
  3. scikit-learn/scikit-learn · recommended 1×
  4. plotly/plotly.py · recommended 1×
  5. plotly/dash · recommended 1×
  • CATEGORY QUERY
    How can I visualize and explore high-dimensional vector embeddings of unstructured data?
    you: not recommended
    AI recommended (in order):
    1. TensorBoard (tensorflow/tensorboard)
    2. UMAP (lmcinnes/umap)
    3. t-SNE (scikit-learn/scikit-learn)
    4. Plotly (plotly/plotly.py)
    5. Dash (plotly/dash)
    6. OpenAI's Embedding Projector
    7. Faiss (facebookresearch/faiss)

    AI recommended 7 alternatives but never named enjalot/latent-scope. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help analyze, cluster, and project data within latent spaces for insights?
    you: not recommended
    AI recommended (in order):
    1. UMAP
    2. t-SNE
    3. scikit-learn
    4. HDBSCAN
    5. TensorBoard
    6. Plotly
    7. OpenAI's Embedding API

    AI recommended 7 alternatives but never named enjalot/latent-scope. 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 enjalot/latent-scope?
    pass
    AI named enjalot/latent-scope explicitly

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

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

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

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enjalot/latent-scope — 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