RRepoGEO

REPOGEO REPORT · LITE

datopian/portaljs

Default branch main · commit bcd7a773 · scanned 6/2/2026, 2:47:00 AM

GitHub: 2,280 stars · 332 forks

AI VISIBILITY SCORE
33 /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
2 / 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 datopian/portaljs, 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 state core value proposition

    Why:

    CURRENT
    <p align="center"> 
  Bugs, issues and suggestions re PortalJS framework
  <br />
  <br /><a href="https://discord.gg/krmj5HM6He"></a>
</p>
    COPY-PASTE FIX
    PortalJS is a modern frontend framework for rapidly building feature-rich data portals and publishing systems. It offers native support for CKAN, OpenMetadata, and Git, enabling unified sites that pull data from various sources.
  • mediumreadme#2
    Clarify the relationship between PortalJS framework and PortalJS Cloud in README

    Why:

    COPY-PASTE FIX
    Under the 'PortalJS framework' section, add: "This repository provides the open-source PortalJS framework, a powerful toolkit for building data portals. PortalJS Cloud is a hosted platform built upon this framework, offering a managed solution for rapid deployment."
  • lowtopics#3
    Prioritize specific data portal topics

    Why:

    CURRENT
    ai, ai-agents, ckan, data-fabric, data-management-platform, data-mesh, data-portal, data-portal-frontends, data-portals, datahub, dataverse, dkan, nextjs, open-data, open-data-portal, opendatasoft, openmetadata, socrata
    COPY-PASTE FIX
    data-portal, data-portal-frontends, open-data-portal, data-portals, ckan, openmetadata, datahub, dkan, opendatasoft, socrata, nextjs, data-fabric, data-management-platform, data-mesh, open-data, ai, ai-agents, dataverse

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 datopian/portaljs
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
facebook/react
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. facebook/react · recommended 2×
  2. vuejs/core · recommended 2×
  3. nodejs/node · recommended 2×
  4. ckan/ckan · recommended 1×
  5. vercel/next.js · recommended 1×
  • CATEGORY QUERY
    How to rapidly build a feature-rich open data portal using modern frontend frameworks?
    you: not recommended
    AI recommended (in order):
    1. CKAN (ckan/ckan)
    2. React (facebook/react)
    3. Vue.js (vuejs/core)
    4. Next.js (vercel/next.js)
    5. Strapi (strapi/strapi)
    6. Directus (directus/directus)
    7. Nuxt.js (nuxt/nuxt)
    8. Gatsby (gatsbyjs/gatsby)
    9. GraphQL
    10. Contentful
    11. Sanity (sanity-io/sanity)
    12. SvelteKit (sveltejs/kit)
    13. Payload CMS (payloadcms/payload)
    14. Node.js (nodejs/node)
    15. Create React App (facebook/create-react-app)
    16. Vite (vitejs/vite)
    17. Express (expressjs/express)
    18. Python (python/cpython)
    19. Django REST Framework (encode/django-rest-framework)
    20. Go (golang/go)
    21. Gin (gin-gonic/gin)

    AI recommended 21 alternatives but never named datopian/portaljs. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best tools for creating a data catalog frontend compatible with existing data platforms?
    you: not recommended
    AI recommended (in order):
    1. Apache Atlas
    2. Amundsen (lyft/amundsen)
    3. DataHub (datahub-project/datahub)
    4. OpenMetadata (open-metadata/OpenMetadata)
    5. Collibra Data Governance Center
    6. Alation Data Catalog
    7. React (facebook/react)
    8. Angular (angular/angular)
    9. Vue.js (vuejs/core)
    10. Python
    11. Node.js (nodejs/node)

    AI recommended 11 alternatives but never named datopian/portaljs. 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 datopian/portaljs?
    pass
    AI did not name datopian/portaljs — 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 datopian/portaljs in production, what risks or prerequisites should they evaluate first?
    pass
    AI named datopian/portaljs 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 datopian/portaljs solve, and who is the primary audience?
    pass
    AI named datopian/portaljs explicitly

    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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