RRepoGEO

REPOGEO REPORT · LITE

appbaseio/reactivesearch

Default branch next · commit f96f64d1 · scanned 6/30/2026, 5:12:02 PM

GitHub: 4,919 stars · 472 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
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 appbaseio/reactivesearch, 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 H2 to specify its specialized search UI category

    Why:

    CURRENT
    <h2 align="center">
  
  <br />
  Reactive Search
  <br />
</h2>
    COPY-PASTE FIX
    <h2 align="center">
  
  <br />
  ReactiveSearch: UI Components for Building Search Experiences with Elasticsearch, OpenSearch, Solr, and MongoDB
  <br />
</h2>
  • mediumtopics#2
    Refine topics to emphasize search engine integration and remove transient tags

    Why:

    CURRENT
    data-components, developer-tools, elasticsearch, hacktoberfest, hacktoberfest2022, live-demos, react, react-components, reactive-search, reactivesearch, reactivesearch-api, search, search-ui, searchbox, ui-components, vue, vue-components
    COPY-PASTE FIX
    elasticsearch, opensearch, solr, mongodb, react, vue, search, search-ui, ui-components, react-components, vue-components, reactive-search, reactivesearch, reactivesearch-api, searchbox, faceted-search, search-experience, search-engine-ui
  • lowreadme#3
    Add a 'Why ReactiveSearch?' section to explicitly state its core differentiator

    Why:

    COPY-PASTE FIX
    ## Why ReactiveSearch?

Unlike generic UI libraries, ReactiveSearch is purpose-built for creating rich search experiences. It offers a declarative API that automatically handles complex query generation and UI state management for Elasticsearch, OpenSearch, Solr, and MongoDB, allowing developers to focus on design rather than backend integration logic. This specialized approach simplifies the development of advanced faceted search, filtering, and data visualization UIs.

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 appbaseio/reactivesearch
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
tailwindlabs/headlessui
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. tailwindlabs/headlessui · recommended 2×
  2. algolia/react-instantsearch · recommended 1×
  3. JedWatson/react-select · recommended 1×
  4. mui/material-ui · recommended 1×
  5. ant-design/ant-design · recommended 1×
  • CATEGORY QUERY
    Looking for a UI component library to quickly add search functionality to a React app.
    you: not recommended
    AI recommended (in order):
    1. Algolia React InstantSearch (algolia/react-instantsearch)
    2. React-Select (JedWatson/react-select)
    3. Material-UI (mui/material-ui)
    4. Ant Design (ant-design/ant-design)
    5. Chakra UI (chakra-ui/chakra-ui)
    6. Headless UI (tailwindlabs/headlessui)

    AI recommended 6 alternatives but never named appbaseio/reactivesearch. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best Vue UI components for building a faceted search experience with Elasticsearch?
    you: not recommended
    AI recommended (in order):
    1. Vue InstantSearch (algolia/vue-instantsearch)
    2. Vuetify (vuetifyjs/vuetify)
    3. Quasar Framework (quasarframework/quasar)
    4. Element Plus (element-plus/element-plus)
    5. PrimeVue (primefaces/primevue)
    6. Headless UI (tailwindlabs/headlessui)

    AI recommended 6 alternatives but never named appbaseio/reactivesearch. 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 appbaseio/reactivesearch?
    pass
    AI did not name appbaseio/reactivesearch — 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 appbaseio/reactivesearch in production, what risks or prerequisites should they evaluate first?
    pass
    AI named appbaseio/reactivesearch 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 appbaseio/reactivesearch solve, and who is the primary audience?
    pass
    AI named appbaseio/reactivesearch explicitly

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

Embed your GEO score

Drop this badge into the README of appbaseio/reactivesearch. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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HTML
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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite