REPOGEO REPORT · LITE

IDEA-CCNL/Fengshenbang-LM

Default branch main · commit c8fb7b84 · scanned 5/16/2026, 7:57:35 PM

GitHub: 4,136 stars · 380 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 IDEA-CCNL/Fengshenbang-LM, 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

Reposition README H1 and add a concise introductory statement

Why:

CURRENT

# 封神榜科技成果

COPY-PASTE FIX

# Fengshenbang-LM (封神榜大模型)

Fengshenbang-LM is IDEA Research Institute's open-source ecosystem for large language models, led by the Cognitive Computing and Natural Language Research Center. It serves as foundational infrastructure for Chinese AIGC and cognitive intelligence, offering a comprehensive suite of models and tools.

mediumtopics#2

Add more specific and differentiating topics

Why:

CURRENT

aigc, chinese-nlp, distributed-training, multimodal, pretrained-models, pytorch, transformers

COPY-PASTE FIX

aigc, chinese-nlp, distributed-training, multimodal, pretrained-models, pytorch, transformers, llm, large-language-models, generative-ai, chinese-llm

lowhomepage#3
Populate the 'Homepage' field in repository settings
Why:
COPY-PASTE FIX
```
https://fengshenbang-lm.com
```

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 IDEA-CCNL/Fengshenbang-LM

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Qwen

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Qwen · recommended 1×
Baichuan · recommended 1×
ChatGLM · recommended 1×
InternLM · recommended 1×
Yi · recommended 1×

CATEGORY QUERY
What are robust open-source large language models for advanced Chinese NLP applications?
you: not recommended
AI recommended (in order):
1. Qwen
2. Baichuan
3. ChatGLM
4. InternLM
5. Yi
6. Pangu-Σ
AI recommended 6 alternatives but never named IDEA-CCNL/Fengshenbang-LM. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Where can I find pretrained multimodal transformer models for Chinese text and image tasks?
you: not recommended
AI recommended (in order):
1. M6
2. WenLan
3. ERNIE-ViL
4. CLIP
5. ViLT
6. Uni-Perceiver
AI recommended 6 alternatives but never named IDEA-CCNL/Fengshenbang-LM. 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 IDEA-CCNL/Fengshenbang-LM?
pass
AI did not name IDEA-CCNL/Fengshenbang-LM — 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 IDEA-CCNL/Fengshenbang-LM in production, what risks or prerequisites should they evaluate first?
pass
AI named IDEA-CCNL/Fengshenbang-LM 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 IDEA-CCNL/Fengshenbang-LM solve, and who is the primary audience?
pass
AI named IDEA-CCNL/Fengshenbang-LM 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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MARKDOWN (README)

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IDEA-CCNL/Fengshenbang-LM — 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