RRepoGEO

REPOGEO REPORT · LITE

meitarbe/cognetivy

Default branch main · commit af5a1457 · scanned 5/31/2026, 12:42:41 PM

GitHub: 690 stars · 63 forks

AI VISIBILITY SCORE
33 /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
2 / 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 meitarbe/cognetivy, 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 the repo's concise description as a prominent tagline

    Why:

    CURRENT
    The README's H1 is followed by links and then a value proposition.
    COPY-PASTE FIX
    Add the following line directly after `# Cognetivy 2.0`:
`The open-source state layer for AI coding agents. Turn chaotic agent sessions into structured, traceable workflows with a local workspace for runs, events, and collections.`
  • hightopics#2
    Add more specific topics for AI agent orchestration and observability

    Why:

    CURRENT
    agents, ai, workflows
    COPY-PASTE FIX
    agents, ai, workflows, orchestration, observability, tracing, llm-agents, agent-framework
  • mediumreadme#3
    Add a brief comparison or positioning statement against common alternatives

    Why:

    COPY-PASTE FIX
    Add a sentence to the "Why Cognetivy" section, such as: "Unlike general-purpose MLOps platforms or LLM frameworks, Cognetivy provides a dedicated state layer for AI coding agents, offering a local studio for deep inspection and reproducible workflows, rather than just logging or basic orchestration."

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 meitarbe/cognetivy
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain Plus (now LangSmith)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain Plus (now LangSmith) · recommended 1×
  2. Weights & Biases (W&B) Prompts · recommended 1×
  3. MLflow · recommended 1×
  4. OpenReplay · recommended 1×
  5. ELK Stack (Elasticsearch, Logstash, Kibana) · recommended 1×
  • CATEGORY QUERY
    How to manage and debug AI agent sessions for reproducible and traceable workflows?
    you: not recommended
    AI recommended (in order):
    1. LangChain Plus (now LangSmith)
    2. Weights & Biases (W&B) Prompts
    3. MLflow
    4. OpenReplay
    5. ELK Stack (Elasticsearch, Logstash, Kibana)
    6. Datadog

    AI recommended 6 alternatives but never named meitarbe/cognetivy. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool for structuring AI agent reasoning into persistent, inspectable workflows with a local UI?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LangServe
    3. LangSmith
    4. LlamaIndex
    5. Arize AI
    6. Weights & Biases
    7. Haystack
    8. Deepset Cloud
    9. OpenAI Assistants API
    10. CrewAI
    11. Autogen

    AI recommended 11 alternatives but never named meitarbe/cognetivy. 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 meitarbe/cognetivy?
    pass
    AI named meitarbe/cognetivy explicitly

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

  • If a team adopts meitarbe/cognetivy in production, what risks or prerequisites should they evaluate first?
    pass
    AI named meitarbe/cognetivy 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 meitarbe/cognetivy solve, and who is the primary audience?
    pass
    AI did not name meitarbe/cognetivy — 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

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meitarbe/cognetivy — 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