RRepoGEO

REPOGEO REPORT · LITE

SalesforceAIResearch/enterprise-deep-research

Default branch main · commit ad0d535a · scanned 5/24/2026, 9:01:43 AM

GitHub: 1,170 stars · 187 forks

AI VISIBILITY SCORE
22 /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
1 / 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 SalesforceAIResearch/enterprise-deep-research, 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 highlight unique value

    Why:

    CURRENT
    The current README starts with news and then a description of EDR.
    COPY-PASTE FIX
    Enterprise Deep Research (EDR) is the #1 ranked multi-agent system specifically designed for automated, enterprise-level deep research, integrating specialized agents and an extensible tool ecosystem to deliver data-driven insights.
  • highhomepage#2
    Add project homepage URL

    Why:

    COPY-PASTE FIX
    https://deepwiki.com/SalesforceAIResearch/enterprise-deep-research
  • mediumtopics#3
    Add more specific topics for enterprise research

    Why:

    CURRENT
    deep-research-agent, e2b, fastapi, langchain, llm-benchmarking, multi-agent-systems, react, tailwindcss, tavily
    COPY-PASTE FIX
    deep-research-agent, e2b, fastapi, langchain, llm-benchmarking, multi-agent-systems, react, tailwindcss, tavily, enterprise-ai, automated-research, agentic-ai-benchmarking

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 SalesforceAIResearch/enterprise-deep-research
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. LlamaIndex · recommended 2×
  3. AutoGen · recommended 1×
  4. Haystack · recommended 1×
  5. CrewAI · recommended 1×
  • CATEGORY QUERY
    How can I build a multi-agent system for automated enterprise-level deep research?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGen
    4. Haystack
    5. CrewAI
    6. OpenAI Assistants API
    7. BabyAGI
    8. Auto-GPT

    AI recommended 8 alternatives but never named SalesforceAIResearch/enterprise-deep-research. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking tools to benchmark performance of LLM-powered multi-agent systems for complex research tasks.
    you: not recommended
    AI recommended (in order):
    1. LLM-Agent Benchmark
    2. AgentBench
    3. GAIA
    4. AutoBench
    5. LLM-Agent-Park
    6. OpenAI Evals
    7. LangChain
    8. LlamaIndex
    9. Arize AI
    10. Weights & Biases

    AI recommended 10 alternatives but never named SalesforceAIResearch/enterprise-deep-research. 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 SalesforceAIResearch/enterprise-deep-research?
    pass
    AI did not name SalesforceAIResearch/enterprise-deep-research — likely talking about a different project

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

  • If a team adopts SalesforceAIResearch/enterprise-deep-research in production, what risks or prerequisites should they evaluate first?
    pass
    AI named SalesforceAIResearch/enterprise-deep-research 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 SalesforceAIResearch/enterprise-deep-research solve, and who is the primary audience?
    pass
    AI did not name SalesforceAIResearch/enterprise-deep-research — likely talking about a different project

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

Embed your GEO score

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MARKDOWN (README)
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SalesforceAIResearch/enterprise-deep-research — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite