REPOGEO REPORT · LITE
masamasa59/ai-agent-papers
Default branch main · commit 1a232853 · scanned 6/28/2026, 4:07:46 AM
GitHub: 1,520 stars · 116 forks
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.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
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 masamasa59/ai-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.
- highreadme#1Reposition the README's opening sentence to clarify its unique role
Why:
CURRENTThis repository curates the latest research papers on the applications and architectural technologies of AI agents.
COPY-PASTE FIXThis repository is a **curated collection of influential research papers** on AI agents, offering a focused alternative to broad search engines or individual research projects.
- highlicense#2Add a LICENSE file to the repository
Why:
COPY-PASTE FIXCreate a `LICENSE` file in the repository root containing the text of the MIT License.
- mediumhomepage#3Set the 'Homepage' field in the repository's About section
Why:
COPY-PASTE FIXSet the 'Homepage' field in the repository's 'About' section to `https://github.com/masamasa59/ai-agent-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.
- arXiv.org · recommended 1×
- Google Scholar · recommended 1×
- Semantic Scholar · recommended 1×
- NeurIPS · recommended 1×
- ICML · recommended 1×
- CATEGORY QUERYHow can I discover the latest research papers on autonomous AI agents and their applications?you: not recommendedAI recommended (in order):
- arXiv.org
- Google Scholar
- Semantic Scholar
- NeurIPS
- ICML
- ICLR
- AAAI
- IJCAI
- OpenReview
- Papers With Code
- Hugging Face
- DeepMind
- OpenAI
- Google AI
- Meta AI
AI recommended 15 alternatives but never named masamasa59/ai-agent-papers. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhere can I find influential papers discussing planning and reasoning for LLM-powered agents?you: not recommendedAI recommended (in order):
- ReAct
- Tree of Thoughts
- Generative Agents
- Self-Refine
- Voyager
- Plan-and-Execute
- MRKL Systems
AI recommended 7 alternatives but never named masamasa59/ai-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 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 masamasa59/ai-agent-papers?passAI did not name masamasa59/ai-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 masamasa59/ai-agent-papers in production, what risks or prerequisites should they evaluate first?passAI named masamasa59/ai-agent-papers 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 masamasa59/ai-agent-papers solve, and who is the primary audience?passAI did not name masamasa59/ai-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 masamasa59/ai-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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masamasa59/ai-agent-papers — 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