RRepoGEO

REPOGEO REPORT · LITE

ascending-llc/jarvis-registry

Default branch main · commit b91cbde6 · scanned 6/24/2026, 3:21:53 PM

GitHub: 1,555 stars · 239 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
27 /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
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 ascending-llc/jarvis-registry, 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 the README's core definition to clarify its unique category

    Why:

    CURRENT
    **Jarvis Registry** is an open-source, enterprise-grade **MCP (Model Context Protocol) and A2A Agent Gateway and Workflow Orchestration platform** built by ASCENDING Inc. It solves one of the hardest problems in enterprise AI: giving AI copilots and autonomous agents **secure, governed access** to internal tools and data — without fragmented integrations or security blind spots.
    COPY-PASTE FIX
    **Jarvis Registry** is an open-source, enterprise-grade **MCP (Model Context Protocol) and A2A Agent Gateway and Workflow Orchestration platform** built by ASCENDING Inc. Unlike generic microservice registries or broad AI development frameworks, it specifically solves one of the hardest problems in enterprise AI: giving AI copilots and autonomous agents **secure, governed access** to internal tools and data — without fragmented integrations or security blind spots.
  • mediumtopics#2
    Add more specific topics to improve category matching

    Why:

    CURRENT
    agent, agent-gateway, agent-orchestration, mcp, mcp-gateway, orchestration
    COPY-PASTE FIX
    agent, agent-gateway, agent-orchestration, mcp, mcp-gateway, orchestration, enterprise-ai, ai-security, access-control, api-gateway-for-ai, ai-copilot-integration
  • lowfaq#3
    Add a FAQ section to the README to address common misunderstandings

    Why:

    COPY-PASTE FIX
    Add a new section to the README titled 'FAQ' with questions like: 'Is Jarvis Registry a generic microservice registry like Eureka?' (Answer: No, it's specifically an AI agent/copilot gateway for secure enterprise access and governance.) and 'Is Jarvis Registry an AI development framework like LangChain?' (Answer: No, it focuses on secure access and orchestration, not agent building or prompt engineering.)

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 ascending-llc/jarvis-registry
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Azure Active Directory
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Azure Active Directory · recommended 2×
  2. Microsoft Azure API Management · recommended 1×
  3. Azure OpenAI Service · recommended 1×
  4. Virtual Network · recommended 1×
  5. AWS API Gateway · recommended 1×
  • CATEGORY QUERY
    How to securely connect AI agents and copilots to internal enterprise tools?
    you: not recommended
    AI recommended (in order):
    1. Microsoft Azure API Management
    2. Azure OpenAI Service
    3. Virtual Network
    4. Azure Active Directory
    5. AWS API Gateway
    6. Amazon Bedrock
    7. VPC Endpoints
    8. IAM roles and policies
    9. Google Cloud Apigee API Management
    10. Vertex AI
    11. Private Service Connect
    12. Kong Gateway (Kong/kong)
    13. HashiCorp Boundary (hashicorp/boundary)
    14. Vault (hashicorp/vault)
    15. Istio (istio/istio)
    16. Linkerd (linkerd/linkerd2)
    17. Okta
    18. Auth0
    19. Azure Active Directory
    20. Cloudflare
    21. AWS WAF
    22. Azure WAF
    23. ModSecurity (owasp-modsecurity/ModSecurity)

    AI recommended 23 alternatives but never named ascending-llc/jarvis-registry. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What platform helps orchestrate and manage multiple AI agents' access to enterprise systems?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Microsoft Azure AI Studio
    3. Google Cloud Vertex AI Agent Builder
    4. LlamaIndex
    5. Cortex
    6. Kubernetes
    7. Docker
    8. Apache Kafka
    9. RabbitMQ

    AI recommended 9 alternatives but never named ascending-llc/jarvis-registry. 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 ascending-llc/jarvis-registry?
    pass
    AI did not name ascending-llc/jarvis-registry — 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 ascending-llc/jarvis-registry in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ascending-llc/jarvis-registry 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 ascending-llc/jarvis-registry solve, and who is the primary audience?
    pass
    AI did not name ascending-llc/jarvis-registry — 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?

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  • Brand-free category queries5 vs 2 in Lite
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