RRepoGEO

REPOGEO REPORT · LITE

murtaza-nasir/maestro

Default branch main · commit ea2d1a3c · scanned 5/23/2026, 4:17:13 PM

GitHub: 1,492 stars · 144 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 murtaza-nasir/maestro, 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
    ai-agents, research-assistant, self-hosted, report-generation, ai-platform, open-source, workflow-automation, llm-agents
  • highreadme#2
    Strengthen the README's opening paragraph for category matching

    Why:

    CURRENT
    MAESTRO is an AI-powered research platform you can host on your own hardware. It's designed to manage complex research tasks from start to finish in a collaborative research environment. Plan your research, let AI agents carry it out, and watch as they generate detailed reports based on your documents and sources from the web.
    COPY-PASTE FIX
    MAESTRO is your self-hostable AI research platform, designed to automate complex research tasks and generate detailed reports. It empowers collaborative research environments by letting AI agents plan and execute research, synthesizing findings from your documents and web sources.
  • mediumhomepage#3
    Add the project homepage URL

    Why:

    COPY-PASTE FIX
    https://murtaza-nasir.github.io/maestro/

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 murtaza-nasir/maestro
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
deepset-ai/haystack
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. deepset-ai/haystack · recommended 1×
  2. llamaindex/llamaindex · recommended 1×
  3. open-webui/open-webui · recommended 1×
  4. ollama/ollama · recommended 1×
  5. jina-ai/docarray · recommended 1×
  • CATEGORY QUERY
    What are the best self-hostable AI platforms for automating complex research tasks and report generation?
    you: not recommended
    AI recommended (in order):
    1. Haystack (deepset-ai/haystack)
    2. LlamaIndex (llamaindex/llamaindex)
    3. OpenWebUI (open-webui/open-webui)
    4. Ollama (ollama/ollama)
    5. DocArray (jina-ai/docarray)
    6. Weaviate (weaviate/weaviate)
    7. Elasticsearch (elastic/elasticsearch)
    8. OpenSearch (opensearch-project/OpenSearch)

    AI recommended 8 alternatives but never named murtaza-nasir/maestro. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking open-source AI agent systems for collaborative research and automated report generation.
    you: not recommended
    AI recommended (in order):
    1. AutoGPT
    2. AgentGPT
    3. CrewAI
    4. LangChain Agents
    5. Open Interpreter

    AI recommended 5 alternatives but never named murtaza-nasir/maestro. 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 murtaza-nasir/maestro?
    pass
    AI named murtaza-nasir/maestro explicitly

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

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

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

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murtaza-nasir/maestro — 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