RRepoGEO

REPOGEO REPORT · LITE

openai/point-e

Default branch main · commit fc8a607c · scanned 5/21/2026, 6:37:53 PM

GitHub: 6,885 stars · 801 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 openai/point-e, 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 specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    3d-generation, point-cloud, diffusion-models, text-to-3d, generative-ai, deep-learning, computer-vision, 3d-synthesis
  • highreadme#2
    Refine README's opening statement to clarify positioning

    Why:

    CURRENT
    This is the official code and model release for Point-E: A System for Generating 3D Point Clouds from Complex Prompts.
    COPY-PASTE FIX
    This is the official code and model release for Point-E, a generative AI system that synthesizes 3D point clouds from complex prompts (e.g., text or images). Point-E offers a novel approach to 3D model synthesis, distinct from traditional 3D reconstruction methods or direct text-to-mesh generation.
  • mediumhomepage#3
    Add the official project homepage URL

    Why:

    COPY-PASTE FIX
    https://openai.com/research/point-e

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 openai/point-e
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Luma AI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Luma AI · recommended 1×
  2. Blockade Labs · recommended 1×
  3. Spline AI · recommended 1×
  4. Common Sense Machines · recommended 1×
  5. Meshy · recommended 1×
  • CATEGORY QUERY
    How can I generate 3D models directly from text descriptions or prompts?
    you: not recommended
    AI recommended (in order):
    1. Luma AI
    2. Blockade Labs
    3. Spline AI
    4. Common Sense Machines
    5. Meshy
    6. Kaedim
    7. Stable Diffusion

    AI recommended 7 alternatives but never named openai/point-e. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools exist for synthesizing 3D point clouds from images or other inputs?
    you: not recommended
    AI recommended (in order):
    1. COLMAP
    2. OpenMVG
    3. OpenMVS
    4. Metashape
    5. Agisoft PhotoScan
    6. RealityCapture
    7. Meshroom
    8. AliceVision
    9. 3DF Zephyr
    10. PyTorch3D
    11. TensorFlow Graphics

    AI recommended 11 alternatives but never named openai/point-e. 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 openai/point-e?
    pass
    AI named openai/point-e explicitly

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

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

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

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openai/point-e — 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