RRepoGEO

REPOGEO REPORT · LITE

elyase/awesome-gpt3

Default branch main · commit 90a82d38 · scanned 6/26/2026, 6:12:50 PM

GitHub: 4,530 stars · 348 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
17 /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
1 / 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 elyase/awesome-gpt3, 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
  • highabout#1
    Add a clear, concise description to the repository

    Why:

    COPY-PASTE FIX
    A curated list of awesome demos, articles, and resources showcasing applications of the OpenAI GPT-3 API, including code generation, UI layouts, and data analysis.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    awesome-list, gpt3, openai, large-language-models, llm, ai, natural-language-processing, nlp, code-generation, ui-generation, data-analysis
  • 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 (e.g., MIT or Apache-2.0) in the repository root to clearly state the terms of use for the content.

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 elyase/awesome-gpt3
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Tabnine
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Tabnine · recommended 2×
  2. Copilot · recommended 1×
  3. ChatGPT / GPT-4 · recommended 1×
  4. Vercel v0 · recommended 1×
  5. Durable.co · recommended 1×
  • CATEGORY QUERY
    Tools to generate code snippets or UI layouts from natural language descriptions?
    you: not recommended
    AI recommended (in order):
    1. Copilot
    2. ChatGPT / GPT-4
    3. Vercel v0
    4. Durable.co
    5. Replit AI
    6. Tabnine
    7. Uizard

    AI recommended 7 alternatives but never named elyase/awesome-gpt3. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can AI assist with automating development tasks like data analysis or program generation?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. OpenAI Codex
    3. Hugging Face Transformers (huggingface/transformers)
    4. TensorFlow (tensorflow/tensorflow)
    5. PyTorch (pytorch/pytorch)
    6. Google Cloud AutoML
    7. H2O.ai Driverless AI
    8. DataRobot
    9. Tabnine

    AI recommended 9 alternatives but never named elyase/awesome-gpt3. 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 elyase/awesome-gpt3?
    pass
    AI did not name elyase/awesome-gpt3 — 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?

  • If a team adopts elyase/awesome-gpt3 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named elyase/awesome-gpt3 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 elyase/awesome-gpt3 solve, and who is the primary audience?
    pass
    AI did not name elyase/awesome-gpt3 — 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?

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elyase/awesome-gpt3 — 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