RRepoGEO

REPOGEO REPORT · LITE

cyberagiinc/DevDocs

Default branch feature-main · commit f8fa9de5 · scanned 5/20/2026, 6:22:59 PM

GitHub: 2,074 stars · 189 forks

Scan history for this repo

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.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
27 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 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 cyberagiinc/DevDocs, 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
    Rephrase the 'DevDocs Status' warning to emphasize upcoming public release

    Why:

    CURRENT
    > [!WARNING]
> 📌 **DevDocs Status**: Not publicly maintained. Enhanced internal version at CyberAGI — public release coming soon. If you have any questions please reach out to info@cyberagi.ai
    COPY-PASTE FIX
    > [!NOTE]
> 📌 **DevDocs Status**: Public release of the enhanced CyberAGI version is coming soon! This repository serves as a preview. For inquiries, reach out to info@cyberagi.ai
  • highreadme#2
    Reposition the README H1 to specify its role as an AI-focused documentation server

    Why:

    CURRENT
    # DevDocs by CyberAGI 🚀
    COPY-PASTE FIX
    # DevDocs by CyberAGI 🚀: Private, UI-Based Documentation Server for AI Coding Assistants & LLM Context Generation
  • mediumtopics#3
    Add more specific topics related to LLM context generation and AI assistants

    Why:

    CURRENT
    cline, crawl4ai, cursor, documentation, llm, playwright, python3, scraper, security, typescript, windsurf
    COPY-PASTE FIX
    cline, crawl4ai, cursor, documentation, llm, playwright, python3, scraper, security, typescript, windsurf, llm-context, data-indexing, ai-assistants, knowledge-base

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 cyberagiinc/DevDocs
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Confluence
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Confluence · recommended 1×
  2. GitBook · recommended 1×
  3. Read the Docs · recommended 1×
  4. Notion · recommended 1×
  5. Docusaurus · recommended 1×
  • CATEGORY QUERY
    How to efficiently manage and access internal technical documentation for AI coding assistants?
    you: not recommended
    AI recommended (in order):
    1. Confluence
    2. GitBook
    3. Read the Docs
    4. Notion
    5. Docusaurus
    6. Wiki.js

    AI recommended 6 alternatives but never named cyberagiinc/DevDocs. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best open-source tools for crawling and indexing documentation for LLM context?
    you: not recommended
    AI recommended (in order):
    1. Haystack (deepset-ai/haystack)
    2. LlamaIndex (run-llama/llama_index)
    3. Elasticsearch (elastic/elasticsearch)
    4. Logstash (elastic/logstash)
    5. Kibana (elastic/kibana)
    6. Apache Solr (apache/solr)
    7. Scrapy (scrapy/scrapy)
    8. Beautiful Soup (crummy/beautifulsoup4)
    9. Requests (psf/requests)

    AI recommended 9 alternatives but never named cyberagiinc/DevDocs. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 cyberagiinc/DevDocs?
    pass
    AI did not name cyberagiinc/DevDocs — 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 cyberagiinc/DevDocs in production, what risks or prerequisites should they evaluate first?
    pass
    AI named cyberagiinc/DevDocs 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 cyberagiinc/DevDocs solve, and who is the primary audience?
    pass
    AI did not name cyberagiinc/DevDocs — 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?

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cyberagiinc/DevDocs — 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