RRepoGEO

REPOGEO REPORT · LITE

ankane/searchkick

Default branch master · commit fd27bac5 · scanned 6/20/2026, 4:27:54 PM

GitHub: 6,716 stars · 763 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
81 /100
Healthy
Category recall
2 / 2
Avg rank #3.0 when recommended
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 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 ankane/searchkick, 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
  • highhomepage#1
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://your-project-homepage.com
  • mediumreadme#2
    Refine the README's opening to highlight its Rails-idiomatic nature

    Why:

    CURRENT
    # Searchkick

:rocket: Intelligent search made easy

**Searchkick learns what your users are looking for.** As more people search, it gets smarter and the results get better. It’s friendly for developers - and magical for your users.
    COPY-PASTE FIX
    # Searchkick

:rocket: Intelligent search made easy for Ruby and Rails applications

**Searchkick is a powerful, Rails-idiomatic library that learns what your users are looking for.** As more people search, it gets smarter and the results get better. It’s friendly for developers - and magical for your users.
  • mediumtopics#3
    Expand repository topics to include key features and broader ecosystem terms

    Why:

    CURRENT
    elasticsearch, opensearch, rails
    COPY-PASTE FIX
    elasticsearch, opensearch, rails, ruby, search, full-text-search, autocomplete, fuzzy-search, reindexing, active-record, mongoid

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
2 / 2
100% of queries surface ankane/searchkick
Avg rank
#3.0
Lower is better. #1 = top recommendation.
Share of voice
10%
Of all named tools, what % are you?
Top rival
Algolia
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Algolia · recommended 2×
  2. algolia/algoliasearch-rails · recommended 2×
  3. Elasticsearch · recommended 2×
  4. meilisearch/meilisearch-rails · recommended 2×
  5. PostgreSQL · recommended 2×
  • CATEGORY QUERY
    How to add intelligent, typo-tolerant search functionality to a Rails application?
    you: #4
    AI recommended (in order):
    1. Algolia
    2. algoliasearch-rails (algolia/algoliasearch-rails)
    3. Elasticsearch
    4. Searchkick (ankane/searchkick) ← you
    5. Meilisearch
    6. Meilisearch Rails gem (meilisearch/meilisearch-rails)
    7. PostgreSQL
    8. pg_search (Casecommons/pg_search)
    9. Solr
    10. Sunspot (sunspot/sunspot)
    Show full AI answer
  • CATEGORY QUERY
    What library provides robust search with autocomplete and zero-downtime reindexing for Ruby projects?
    you: #2
    AI recommended (in order):
    1. Elasticsearch
    2. Searchkick (ankane/searchkick) ← you
    3. Algolia
    4. algoliasearch-rails (algolia/algoliasearch-rails)
    5. Solr
    6. Sunspot (sunspot/sunspot)
    7. PostgreSQL
    8. pg_search (Casecommons/pg_search)
    9. Trigram indexes
    10. MeiliSearch (meilisearch/meilisearch)
    11. meilisearch-rails (meilisearch/meilisearch-rails)
    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 ankane/searchkick?
    pass
    AI named ankane/searchkick explicitly

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

  • If a team adopts ankane/searchkick in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ankane/searchkick 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 ankane/searchkick solve, and who is the primary audience?
    pass
    AI named ankane/searchkick 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 ankane/searchkick. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/ankane/searchkick.svg)](https://repogeo.com/en/r/ankane/searchkick)
HTML
<a href="https://repogeo.com/en/r/ankane/searchkick"><img src="https://repogeo.com/badge/ankane/searchkick.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

ankane/searchkick — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite