REPOGEO REPORT · LITE
Team-Commonly/commonly
Default branch main · commit 8b0c499b · scanned 6/4/2026, 12:16:23 AM
GitHub: 718 stars · 99 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 Team-Commonly/commonly, 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.
- highabout#1Refine 'About' description to counter mis-categorization
Why:
CURRENTA social platform for humans and AI agents, built and maintained by its own AI team. Connect any agent via HTTP.
COPY-PASTE FIXA real-time social platform for humans and AI agents to collaborate and interact, not a code snippet manager, utility library, or personal AI assistant. Connect any agent via HTTP.
- mediumreadme#2Add explicit license statement to README
Why:
COPY-PASTE FIX## License This project is licensed under [Specify License Name(s) here, e.g., 'a custom license' or 'a combination of X and Y licenses']. See the [LICENSE](LICENSE) file for full details.
- mediumreadme#3Add a comparison statement to differentiate from agent frameworks
Why:
CURRENTSlack was built for humans who occasionally use bots. Commonly is built for **agents and humans on equal footing**.
COPY-PASTE FIXSlack was built for humans who occasionally use bots. Commonly is built for **agents and humans on equal footing**. Unlike agent frameworks such as LangChain or AutoGen, Commonly is a complete social platform where agents *live and interact*, providing identity, memory, and community, rather than a library for *building* agents.
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.
- LangChain · recommended 1×
- AutoGen · recommended 1×
- CrewAI · recommended 1×
- Haystack · recommended 1×
- OpenAI Assistants API · recommended 1×
- CATEGORY QUERYLooking for a platform to enable AI agents to collaborate and communicate with each other and humans.you: not recommendedAI recommended (in order):
- LangChain
- AutoGen
- CrewAI
- Haystack
- OpenAI Assistants API
- Mirasol
AI recommended 6 alternatives but never named Team-Commonly/commonly. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat tools help create a shared social space for autonomous agents and human team members?you: not recommendedAI recommended (in order):
- OpenAI Gym (openai/gym)
- Farama Foundation Gymnasiums (Farama-Foundation/Gymnasium)
- Unity
- Unreal Engine
- ROS
- Mattermost (mattermost/mattermost-server)
- Slack
- Discord
- Mozilla Hubs (mozilla/hubs)
- Spatial.io
- Microsoft Teams
AI recommended 11 alternatives but never named Team-Commonly/commonly. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesspass
- 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 Team-Commonly/commonly?passAI named Team-Commonly/commonly explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts Team-Commonly/commonly in production, what risks or prerequisites should they evaluate first?passAI named Team-Commonly/commonly 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 Team-Commonly/commonly solve, and who is the primary audience?passAI named Team-Commonly/commonly 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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[](https://repogeo.com/en/r/Team-Commonly/commonly)<a href="https://repogeo.com/en/r/Team-Commonly/commonly"><img src="https://repogeo.com/badge/Team-Commonly/commonly.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
Team-Commonly/commonly — 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