RRepoGEO

REPOGEO REPORT · LITE

ai-forever/ru-gpts

Default branch master · commit 1e4b33d0 · scanned 6/23/2026, 6:02:42 PM

GitHub: 2,090 stars · 434 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
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 ai-forever/ru-gpts, 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
  • highreadme#1
    Explicitly identify the repository as 'RuGPT-3' in the README

    Why:

    CURRENT
    #### Russian GPT-3 models # ruGPT3XL, ruGPT3Large, ruGPT3Medium, ruGPT3Small and ruGPT2Large This repository contains bunch of autoregressive transformer language models trained on a huge dataset of russian language.
    COPY-PASTE FIX
    #### ai-forever/ru-gpts: The Official Russian GPT-3 Models (ruGPT3XL, ruGPT3Large, ruGPT3Medium, ruGPT3Small and ruGPT2Large) This repository contains the official autoregressive transformer language models, collectively known as RuGPT-3, trained on a huge dataset of the Russian language.
  • mediumreadme#2
    Add descriptive link text to Colab examples in README

    Why:

    CURRENT
    Try Model Generation In Colab! ruGPT-3 XL: [](https://colab.research.google.com/github/ai-forever/ru-gpts/blob/master/examples/ruGPT3XL_generation.ipynb) or ruGPT-3 smaller models: [](https://colab.research.google.com/github/ai-forever/ru-gpts/blob/master/examples/Generate_text_with_RuGPTs_HF.ipynb)
    COPY-PASTE FIX
    Try Model Generation In Colab! ruGPT-3 XL: [Generate with ruGPT-3 XL](https://colab.research.google.com/github/ai-forever/ru-gpts/blob/master/examples/ruGPT3XL_generation.ipynb) or ruGPT-3 smaller models: [Generate with smaller RuGPTs on Hugging Face](https://colab.research.google.com/github/ai-forever/ru-gpts/blob/master/examples/Generate_text_with_RuGPTs_HF.ipynb)
  • lowtopics#3
    Add 'llm' and 'generative-ai' to repository topics

    Why:

    CURRENT
    deep-learning, gpt3, language-model, russian, russian-language, transformers
    COPY-PASTE FIX
    deep-learning, gpt3, language-model, russian, russian-language, transformers, llm, generative-ai

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 ai-forever/ru-gpts
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
RuGPT-3
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. RuGPT-3 · recommended 2×
  2. YaLM 100B · recommended 1×
  3. Llama 2 · recommended 1×
  4. Mistral 7B · recommended 1×
  5. BLOOMZ / BLOOM · recommended 1×
  • CATEGORY QUERY
    What open-source large language models are available for generating high-quality Russian text?
    you: not recommended
    AI recommended (in order):
    1. YaLM 100B
    2. RuGPT-3
    3. Llama 2
    4. Mistral 7B
    5. BLOOMZ / BLOOM
    6. mGPT

    AI recommended 6 alternatives but never named ai-forever/ru-gpts. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking pre-trained generative AI models for fine-tuning on custom Russian language datasets.
    you: not recommended
    AI recommended (in order):
    1. GPT-3
    2. OpenAI API
    3. RuGPT-3
    4. Hugging Face Transformers
    5. mT5
    6. mBART
    7. XLM-R
    8. GigaChat

    AI recommended 8 alternatives but never named ai-forever/ru-gpts. 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 ai-forever/ru-gpts?
    pass
    AI did not name ai-forever/ru-gpts — 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 ai-forever/ru-gpts in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ai-forever/ru-gpts 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 ai-forever/ru-gpts solve, and who is the primary audience?
    pass
    AI named ai-forever/ru-gpts explicitly

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

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ai-forever/ru-gpts — 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