REPOGEO REPORT · LITE

git-disl/awesome-LLM-game-agent-papers

Default branch main · commit f01841aa · scanned 6/4/2026, 3:18:16 AM

GitHub: 901 stars · 29 forks

AI VISIBILITY SCORE

15 /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

0 / 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 git-disl/awesome-LLM-game-agent-papers, 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

Update README H1 and intro, and repository 'About' description

Why:

CURRENT

Repository Description: A Survey on Large Language Model-Based Game Agents (ACM CSUR)
README H1: # A Survey on Large Language Model-Based Game Agents (ACM CSUR)

COPY-PASTE FIX

Update the repository's 'About' description to: 'A curated, continuously updated list of must-read papers on Large Language Model-Based Game Agents, accompanying our ACM CSUR survey.'

Then, in your README.md, change the H1 to:
`# Awesome LLM Game Agent Papers: A Curated List (Accompanying ACM CSUR Survey)`

And add the following sentence immediately after the H1:
`This repository serves as a continuously updated, curated collection of must-read papers on LLM-based game agents, complementing our ACM Computing Surveys (CSUR) paper.`

highlicense#2
Add a LICENSE file to the repository
Why:
COPY-PASTE FIX
```
Creative Commons Attribution 4.0 International License (CC-BY-4.0)
```

mediumtopics#3

Add 'awesome-list' and 'paper-list' topics

Why:

CURRENT

computer-games, game-agent, large-language-models, llm-based-agent, survey

COPY-PASTE FIX

computer-games, game-agent, large-language-models, llm-based-agent, survey, awesome-list, paper-list, research-papers

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 git-disl/awesome-LLM-game-agent-papers

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

OpenAI API

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

OpenAI API · recommended 1×
LangChain · recommended 1×
Hugging Face Transformers · recommended 1×
Google Cloud Vertex AI · recommended 1×
Microsoft Azure OpenAI Service · recommended 1×

CATEGORY QUERY
How can I integrate large language models to create intelligent game agents?
you: not recommended
AI recommended (in order):
1. OpenAI API
2. LangChain
3. Hugging Face Transformers
4. Google Cloud Vertex AI
5. Microsoft Azure OpenAI Service
6. DeepMind's AlphaZero/MuZero
AI recommended 6 alternatives but never named git-disl/awesome-LLM-game-agent-papers. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Where can I find research on using large language models for game AI development?
you: not recommended
AI recommended (in order):
1. arXiv.org
2. Google Scholar
3. ACM Digital Library
4. IEEE Xplore
5. AIIDE
6. FDG
7. CHI
8. GDC Vault
9. Semantic Scholar
10. Carnegie Mellon University
11. Stanford University
12. MIT
13. University of Southern California's ICT
14. Hugging Face Blog
15. Hugging Face Papers
16. Medium
17. Towards Data Science
AI recommended 17 alternatives but never named git-disl/awesome-LLM-game-agent-papers. 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 git-disl/awesome-LLM-game-agent-papers?
pass
AI did not name git-disl/awesome-LLM-game-agent-papers — 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 git-disl/awesome-LLM-game-agent-papers in production, what risks or prerequisites should they evaluate first?
pass
AI did not name git-disl/awesome-LLM-game-agent-papers — 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?
In one sentence, what problem does the repo git-disl/awesome-LLM-game-agent-papers solve, and who is the primary audience?
pass
AI did not name git-disl/awesome-LLM-game-agent-papers — 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?

Embed your GEO score

Drop this badge into the README of git-disl/awesome-LLM-game-agent-papers. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)

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HTML

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Brand-free category queries5 vs 2 in Lite
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