RRepoGEO

REPOGEO REPORT · LITE

OpenLemur/Lemur

Default branch main · commit d4dcb72f · scanned 6/10/2026, 7:47:54 PM

GitHub: 556 stars · 35 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 OpenLemur/Lemur, 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
  • highabout#1
    Clarify 'about' description to prevent miscategorization

    Why:

    CURRENT
    [ICLR 2024] Lemur: Open Foundation Models for Language Agents
    COPY-PASTE FIX
    [ICLR 2024] Lemur: An open foundation Large Language Model (LLM) for AI language agents, excelling in both natural language and coding.
  • mediumreadme#2
    Refine README opening for better query recall

    Why:

    CURRENT
    Lemur is an openly accessible language model optimized for both natural language and coding capabilities to serve as the backbone of versatile language agents.
    COPY-PASTE FIX
    Lemur is an openly accessible Large Language Model (LLM) optimized for both natural language and coding capabilities, designed as the backbone for versatile AI language agents.
  • lowtopics#3
    Add 'llm' to repository topics

    Why:

    CURRENT
    code-generation, language-model, machine-learning, natural-language-processing, nlp, text-reasoning
    COPY-PASTE FIX
    code-generation, language-model, llm, machine-learning, natural-language-processing, nlp, text-reasoning

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 OpenLemur/Lemur
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Code Llama
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Code Llama · recommended 1×
  2. DeepSeek Coder · recommended 1×
  3. Llama 2 · recommended 1×
  4. StarCoder2 · recommended 1×
  5. Phi-2 · recommended 1×
  • CATEGORY QUERY
    What open foundation models are best for building language agents with strong coding abilities?
    you: not recommended
    AI recommended (in order):
    1. Code Llama
    2. DeepSeek Coder
    3. Llama 2
    4. StarCoder2
    5. Phi-2

    AI recommended 5 alternatives but never named OpenLemur/Lemur. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a versatile language model balancing natural language understanding and code generation for agents.
    you: not recommended
    AI recommended (in order):
    1. GPT-4
    2. Claude 3 Opus
    3. Gemini 1.5 Pro
    4. Llama 3 70B
    5. Mixtral 8x7B

    AI recommended 5 alternatives but never named OpenLemur/Lemur. 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 OpenLemur/Lemur?
    pass
    AI named OpenLemur/Lemur explicitly

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

  • If a team adopts OpenLemur/Lemur in production, what risks or prerequisites should they evaluate first?
    pass
    AI named OpenLemur/Lemur 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 OpenLemur/Lemur solve, and who is the primary audience?
    pass
    AI named OpenLemur/Lemur 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 OpenLemur/Lemur. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/OpenLemur/Lemur.svg)](https://repogeo.com/en/r/OpenLemur/Lemur)
HTML
<a href="https://repogeo.com/en/r/OpenLemur/Lemur"><img src="https://repogeo.com/badge/OpenLemur/Lemur.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

OpenLemur/Lemur — 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