REPOGEO REPORT · LITE
ai-forever/ru-gpts
Default branch master · commit 1e4b33d0 · scanned 5/13/2026, 7:28:19 AM
GitHub: 2,089 stars · 434 forks
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.
- highreadme#1Clarify README's opening to emphasize open-source repository of models
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 FIXThis repository provides a comprehensive collection of **open-source, pre-trained autoregressive transformer language models** (ruGPT3XL, ruGPT3Large, ruGPT3Medium, ruGPT3Small, and ruGPT2Large) specifically designed for the Russian language. These models are ideal for developers and researchers building advanced Russian NLP applications.
- mediumhomepage#2Add a homepage URL to the repository's About section
Why:
COPY-PASTE FIXhttps://ai-forever.org/
- mediumreadme#3Add a 'Why choose ru-gpts?' or 'Key Differentiators' section to the README
Why:
COPY-PASTE FIXAdd a new section titled 'Why Choose ru-gpts?' or 'Key Differentiators' that highlights its strengths compared to other *open-source* Russian LLMs, such as specific model sizes, training data, or performance benchmarks.
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.
- GigaChat · recommended 2×
- GPT-4 · recommended 1×
- GPT-3.5 Turbo · recommended 1×
- YandexGPT · recommended 1×
- Llama 3 · recommended 1×
- CATEGORY QUERYWhat are the best large language models for generating natural Russian text?you: not recommendedAI recommended (in order):
- GPT-4
- GPT-3.5 Turbo
- YandexGPT
- Llama 3
- Mistral Large
- GigaChat
AI recommended 6 alternatives but never named ai-forever/ru-gpts. This is the gap to close.
Show full AI answer
- CATEGORY QUERYSeeking a pre-trained transformer for text generation and understanding in Russian.you: not recommendedAI recommended (in order):
- ruGPT-3
- mGPT
- mT5
- XLM-RoBERTa
- RuBERT
- GigaChat
AI recommended 6 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 completenesswarn
Suggestion:
- README presencepass
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?passAI 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?passAI 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?passAI 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?
Embed your GEO score
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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