RRepoGEO

REPOGEO REPORT · LITE

guy-hartstein/company-research-agent

Default branch main · commit a759308c · scanned 6/30/2026, 7:42:04 AM

GitHub: 1,987 stars · 287 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 guy-hartstein/company-research-agent, 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
    Reposition README opening to clarify open-source application status and financial focus

    Why:

    CURRENT
    A multi-agent tool that generates comprehensive company research reports. The platform uses a pipeline of AI agents to gather, curate, and synthesize information about any company.
    COPY-PASTE FIX
    An open-source, multi-agent application that generates comprehensive company research reports, including deep financial diligence. This deployable tool leverages a pipeline of AI agents to gather, curate, and synthesize information about any company, providing a powerful and customizable alternative to commercial platforms.
  • mediumcomparison#2
    Add a 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section titled 'Comparison' or 'Why Choose This Project?' that clarifies its position relative to commercial tools (e.g., 'Unlike commercial platforms such as AlphaSense or S&P Capital IQ Pro, this is an open-source project designed for custom deployment and extensibility') and AI frameworks (e.g., 'While built using frameworks like LangGraph, this project is a complete application focused on company research, not a generic library for building agents').
  • mediumreadme#3
    Add a 'Getting Started' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section titled 'Getting Started' or 'Quick Start' with clear, concise instructions on how to set up and run the `company-research-agent` application locally or deploy it. Include prerequisites like API keys and environment setup.

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 guy-hartstein/company-research-agent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AlphaSense
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. AlphaSense · recommended 1×
  2. S&P Capital IQ Pro · recommended 1×
  3. Bloomberg Terminal · recommended 1×
  4. FactSet · recommended 1×
  5. Tegus · recommended 1×
  • CATEGORY QUERY
    Looking for an AI tool to automate comprehensive company research and financial analysis.
    you: not recommended
    AI recommended (in order):
    1. AlphaSense
    2. S&P Capital IQ Pro
    3. Bloomberg Terminal
    4. FactSet
    5. Tegus
    6. Sentieo
    7. YCharts

    AI recommended 7 alternatives but never named guy-hartstein/company-research-agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best multi-agent systems for generating detailed business intelligence reports?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGPT
    3. CrewAI
    4. Microsoft Semantic Kernel
    5. Haystack
    6. AgentVerse

    AI recommended 6 alternatives but never named guy-hartstein/company-research-agent. 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 guy-hartstein/company-research-agent?
    pass
    AI named guy-hartstein/company-research-agent explicitly

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

  • If a team adopts guy-hartstein/company-research-agent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named guy-hartstein/company-research-agent 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 guy-hartstein/company-research-agent solve, and who is the primary audience?
    pass
    AI named guy-hartstein/company-research-agent explicitly

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

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guy-hartstein/company-research-agent — 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