RRepoGEO

REPOGEO REPORT · LITE

hesamsheikh/octogent

Default branch main · commit 07cfc4e3 · scanned 6/22/2026, 10:52:49 PM

GitHub: 1,309 stars · 222 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
35 /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
3 / 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 hesamsheikh/octogent, 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
    Add a direct project definition to the README's opening

    Why:

    COPY-PASTE FIX
    Octogent is an orchestration dashboard for managing multiple Claude Code AI agents, providing scoped contexts and enabling inter-agent communication to streamline complex developer workflows.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://octogent.dev
  • mediumreadme#3
    Enhance 'What Octogent Does for You' with explicit orchestration benefits

    Why:

    CURRENT
    Creates tentacles as context layers** so agents can work with scoped markdown files instead of broad, messy chat context
    COPY-PASTE FIX
    Creates tentacles as context layers so agents can work with scoped markdown files instead of broad, messy chat context, enabling seamless orchestration and management of complex multi-agent workflows.

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 hesamsheikh/octogent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
CrewAI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. CrewAI · recommended 1×
  2. LangChain · recommended 1×
  3. AutoGen · recommended 1×
  4. LlamaIndex · recommended 1×
  5. Haystack · recommended 1×
  • CATEGORY QUERY
    How to manage multiple AI coding agents and their contexts efficiently?
    you: not recommended
    AI recommended (in order):
    1. CrewAI
    2. LangChain
    3. AutoGen
    4. LlamaIndex
    5. Haystack
    6. Open Interpreter
    7. Custom Python Scripting

    AI recommended 7 alternatives but never named hesamsheikh/octogent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a dashboard to orchestrate AI coding agents and improve developer workflow.
    you: not recommended
    AI recommended (in order):
    1. CodiumAI
    2. GitHub Copilot Enterprise
    3. Continue.dev (Continue-revolution/continue)
    4. Cursor
    5. Replit AI
    6. Tabnine

    AI recommended 6 alternatives but never named hesamsheikh/octogent. 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 hesamsheikh/octogent?
    pass
    AI named hesamsheikh/octogent explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts hesamsheikh/octogent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named hesamsheikh/octogent 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 hesamsheikh/octogent solve, and who is the primary audience?
    pass
    AI named hesamsheikh/octogent 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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hesamsheikh/octogent — 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