RRepoGEO

REPOGEO REPORT · LITE

jina-ai/dev-gpt

Default branch main · commit f6c151f9 · scanned 6/29/2026, 9:03:42 PM

GitHub: 1,864 stars · 169 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
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 jina-ai/dev-gpt, 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 H1 to clarify AI agent's core function

    Why:

    CURRENT
    <h1 align="center">
Dev-GPT: Your Automated Development Team
</h1>
    COPY-PASTE FIX
    <h1 align="center">
Dev-GPT: Your Autonomous AI Development Team for Microservice Generation
</h1>
  • hightopics#2
    Add specific topics for better categorization

    Why:

    COPY-PASTE FIX
    ai-agent, code-generation, microservices, autonomous-development, devops-automation, product-management-ai
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    Add the official project homepage URL (e.g., a documentation site or project landing page) to the repository settings.

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 jina-ai/dev-gpt
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Actions
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Actions · recommended 1×
  2. GitLab CI/CD · recommended 1×
  3. Azure DevOps Pipelines · recommended 1×
  4. Kubernetes · recommended 1×
  5. Helm · recommended 1×
  • CATEGORY QUERY
    How can I automate the entire development process for a new microservice?
    you: not recommended
    AI recommended (in order):
    1. GitHub Actions
    2. GitLab CI/CD
    3. Azure DevOps Pipelines
    4. Kubernetes
    5. Helm
    6. Kustomize
    7. Terraform
    8. Prometheus
    9. Grafana
    10. Jaeger
    11. OpenTelemetry
    12. Spring Boot Initializr
    13. Quarkus CLI
    14. NestJS CLI
    15. SonarQube

    AI recommended 15 alternatives but never named jina-ai/dev-gpt. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an AI agent that can handle product management, development, and operations tasks.
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot Enterprise
    2. Jira Product Discovery
    3. Microsoft Copilot for Microsoft 365
    4. Google Gemini for Workspace
    5. CodiumAI (Codium-ai/pr-agent)
    6. Linear

    AI recommended 6 alternatives but never named jina-ai/dev-gpt. 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 jina-ai/dev-gpt?
    pass
    AI did not name jina-ai/dev-gpt — 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 jina-ai/dev-gpt in production, what risks or prerequisites should they evaluate first?
    pass
    AI named jina-ai/dev-gpt 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 jina-ai/dev-gpt solve, and who is the primary audience?
    pass
    AI did not name jina-ai/dev-gpt — 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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jina-ai/dev-gpt — RepoGEO report