REPOGEO REPORT · LITE
QwenLM/QwQ
Default branch main · commit 620a5ead · scanned 6/1/2026, 2:32:14 AM
GitHub: 516 stars · 26 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 QwenLM/QwQ, 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
2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- highreadme#1Clarify the README's H1 to emphasize reasoning specialization
Why:
CURRENT# QwQ
COPY-PASTE FIX# QwQ: Reasoning-Specialized Large Language Model Series
- mediumhomepage#2Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIXhttps://qwenlm.github.io/blog/qwq-32b/
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.
- GPT-4 · recommended 2×
- Claude 3 Opus · recommended 2×
- Gemini 1.5 Pro · recommended 2×
- Llama 3 · recommended 2×
- Mistral Large · recommended 1×
- CATEGORY QUERYWhich AI models are best for applications requiring strong analytical reasoning capabilities?you: not recommendedAI recommended (in order):
- GPT-4
- Claude 3 Opus
- Gemini 1.5 Pro
- Llama 3
- Mistral Large
AI recommended 5 alternatives but never named QwenLM/QwQ. This is the gap to close.
Show full AI answer
- CATEGORY QUERYSeeking a specialized language model to handle complex problem-solving and critical thinking tasks.you: not recommendedAI recommended (in order):
- GPT-4
- Claude 3 Opus
- Gemini 1.5 Pro
- GPT-3.5 Turbo
- Llama 3
AI recommended 5 alternatives but never named QwenLM/QwQ. 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 QwenLM/QwQ?passAI named QwenLM/QwQ explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts QwenLM/QwQ in production, what risks or prerequisites should they evaluate first?passAI named QwenLM/QwQ 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 QwenLM/QwQ solve, and who is the primary audience?passAI named QwenLM/QwQ explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
Drop this badge into the README of QwenLM/QwQ. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
Live preview[](https://repogeo.com/en/r/QwenLM/QwQ)<a href="https://repogeo.com/en/r/QwenLM/QwQ"><img src="https://repogeo.com/badge/QwenLM/QwQ.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
QwenLM/QwQ — 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