RRepoGEO

REPOGEO REPORT · LITE

Omniplex-ai/omniplex

Default branch main · commit 6b010650 · scanned 5/24/2026, 8:22:38 AM

GitHub: 1,046 stars · 357 forks

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 Omniplex-ai/omniplex, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    llm-agents, ai-agents, open-source-ai, llm-framework, tool-use, real-time-data, perplexity-ai
  • highreadme#2
    Reposition the README's opening statement to clarify project scope

    Why:

    CURRENT
    Open-Source Perplexity
    COPY-PASTE FIX
    An open-source framework for building and evaluating AI agents that integrate LLMs with real-time data and external APIs.
  • mediumabout#3
    Update the repository description for clarity

    Why:

    CURRENT
    Open-Source Perplexity
    COPY-PASTE FIX
    An open-source framework for building and evaluating AI agents, integrating LLMs with real-time data and external APIs.

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 Omniplex-ai/omniplex
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LlamaIndex
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LlamaIndex · recommended 1×
  2. LangChain · recommended 1×
  3. deepset/Haystack · recommended 1×
  4. Auto-GPT · recommended 1×
  5. BabyAGI · recommended 1×
  • CATEGORY QUERY
    Need an open-source AI assistant that combines large language models with real-time web search.
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Haystack (deepset/Haystack)
    4. Auto-GPT
    5. BabyAGI
    6. OpenWebUI
    7. LiteLLM

    AI recommended 7 alternatives but never named Omniplex-ai/omniplex. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help integrate LLM responses with real-time data from various external APIs?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Microsoft Semantic Kernel (microsoft/semantic-kernel)
    4. OpenAI Functions
    5. Zapier NLA
    6. Custom Backend

    AI recommended 6 alternatives but never named Omniplex-ai/omniplex. 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 Omniplex-ai/omniplex?
    pass
    AI named Omniplex-ai/omniplex explicitly

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

  • If a team adopts Omniplex-ai/omniplex in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Omniplex-ai/omniplex 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 Omniplex-ai/omniplex solve, and who is the primary audience?
    pass
    AI named Omniplex-ai/omniplex 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 Omniplex-ai/omniplex. 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/Omniplex-ai/omniplex.svg)](https://repogeo.com/en/r/Omniplex-ai/omniplex)
HTML
<a href="https://repogeo.com/en/r/Omniplex-ai/omniplex"><img src="https://repogeo.com/badge/Omniplex-ai/omniplex.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

Omniplex-ai/omniplex — 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