REPOGEO REPORT · LITE
agno-agi/scout
Default branch main · commit 6edef700 · scanned 6/11/2026, 12:43:12 AM
GitHub: 599 stars · 54 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 agno-agi/scout, 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#1Reposition README opening to clarify category and differentiation
Why:
CURRENTScout is an open-source company intelligence agent. It navigates live information sources (web, slack, drive, wiki, CRM, MCP servers) to assemble context on demand - and builds its own wiki and CRM as it learns about your company.
COPY-PASTE FIXScout is an open-source **Company Intelligence Agent** and **AI Operating System for Companies**, designed to unify fragmented internal knowledge. Unlike generic RAG frameworks or traditional knowledge bases, Scout actively navigates live information sources (web, Slack, Drive, wiki, CRM, MCP servers) to assemble context on demand, building its own persistent wiki and CRM as it learns about your company.
- mediumhomepage#2Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIXhttps://github.com/agno-agi/scout
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 2×
- LlamaIndex · recommended 2×
- Elasticsearch · recommended 1×
- Confluence · recommended 1×
- Microsoft SharePoint · recommended 1×
- CATEGORY QUERYHow to unify fragmented company knowledge across various internal systems for AI agents?you: not recommendedAI recommended (in order):
- LangChain
- LlamaIndex
- Elasticsearch
- Confluence
- Microsoft SharePoint
- Apache Kafka
- PostgreSQL
AI recommended 7 alternatives but never named agno-agi/scout. This is the gap to close.
Show full AI answer
- CATEGORY QUERYSeeking an open-source solution to build an intelligent internal wiki and CRM with AI capabilities.you: not recommendedAI recommended (in order):
- DocuWiki
- SuiteCRM
- LangChain
- LlamaIndex
- Joplin
- Odoo (Community Edition)
- spaCy
- Hugging Face Transformers
- Wiki.js
- EspoCRM
- BookStack
- Vtiger CRM (Open Source)
- Haystack
- MediaWiki
- CiviCRM
AI recommended 15 alternatives but never named agno-agi/scout. 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 agno-agi/scout?passAI did not name agno-agi/scout — 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 agno-agi/scout in production, what risks or prerequisites should they evaluate first?passAI named agno-agi/scout 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 agno-agi/scout solve, and who is the primary audience?passAI named agno-agi/scout 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 agno-agi/scout. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
[](https://repogeo.com/en/r/agno-agi/scout)<a href="https://repogeo.com/en/r/agno-agi/scout"><img src="https://repogeo.com/badge/agno-agi/scout.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
agno-agi/scout — 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