RRepoGEO

REPOGEO REPORT · LITE

katanemo/plano

Default branch main · commit 5d990d96 · scanned 6/23/2026, 4:03:11 AM

GitHub: 6,597 stars · 431 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
40 /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
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 katanemo/plano, 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 an explicit 'What is Plano?' section to disambiguate from other tools

    Why:

    COPY-PASTE FIX
    # What is Plano?
Plano is an AI-native proxy and data plane specifically designed for agentic applications. It is *not* a general-purpose Python utility library, task runner, or project template. Plano provides built-in orchestration, safety, observability, and smart LLM routing to simplify deploying agents to production.
  • mediumcomparison#2
    Add a comparison section to clarify how Plano relates to popular AI frameworks

    Why:

    COPY-PASTE FIX
    # Comparison to Other Tools
Plano complements and extends popular AI frameworks like LangChain and LlamaIndex by providing an out-of-process data plane for production-grade agentic applications. Unlike LiteLLM, which focuses primarily on LLM routing, Plano offers a comprehensive suite of features including agent orchestration, guardrails, and observability. It handles the 'hidden middleware' that often gets built bespoke, allowing you to focus on your agent's core logic.
  • mediumreadme#3
    Strengthen the README's opening paragraph to explicitly state Plano's identity

    Why:

    CURRENT
    Plano pulls out the rote plumbing work and decouples you from brittle framework abstractions, centralizing what shouldn’t be bespoke in every codebase - like agent routing and orchestration, rich agentic signals and traces for continuous improvement, guardrail filters for safety and moderation, and smart LLM routing APIs for model agility. Use any language or AI framework, and deliver agents faster to production.
    COPY-PASTE FIX
    Plano is the AI-native proxy server and data plane for agentic apps. It pulls out the rote plumbing work and decouples you from brittle framework abstractions, centralizing what shouldn’t be bespoke in every codebase — like agent routing and orchestration, rich agentic signals and traces for continuous improvement, guardrail filters for safety and moderation, and smart LLM routing APIs for model agility. Use any language or AI framework, and deliver agents faster to production.

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 katanemo/plano
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LiteLLM · recommended 2×
  3. LlamaIndex · recommended 1×
  4. Microsoft Guidance · recommended 1×
  5. Guardrails AI · recommended 1×
  • CATEGORY QUERY
    What tools simplify LLM routing, orchestration, and safety for deploying agentic applications?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Microsoft Guidance
    4. Guardrails AI
    5. OpenAI Functions/Tools
    6. Haystack
    7. LiteLLM

    AI recommended 7 alternatives but never named katanemo/plano. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to implement an AI-native proxy for agentic apps with smart LLM routing and observability?
    you: not recommended
    AI recommended (in order):
    1. LiteLLM
    2. FastAPI
    3. Express.js
    4. LangChain
    5. LangSmith
    6. Weights & Biases
    7. Vellum
    8. Helicone
    9. Portkey.ai

    AI recommended 9 alternatives but never named katanemo/plano. 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 katanemo/plano?
    pass
    AI named katanemo/plano explicitly

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

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

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

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katanemo/plano — 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