REPOGEO REPORT · LITE

frutik/awesome-search

Default branch master · commit b7dbb2d4 · scanned 6/19/2026, 8:03:10 PM

GitHub: 1,547 stars · 139 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

35 /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

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 frutik/awesome-search, 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

Clarify README's opening sentence to emphasize it's a curated list

Why:

CURRENT

I've been building e-commerce search applications for 15+ years. Below is a list of some publications, conferences, and books that have inspired me, grouped by topic.

COPY-PASTE FIX

This is a curated list of publications, conferences, and books that have inspired me over 15+ years of building e-commerce search applications, grouped by topic.

highlicense#2

Add a LICENSE file to the repository

Why:

CURRENT

(no LICENSE file detected — the repo has no recognizable license)

COPY-PASTE FIX

Create a `LICENSE` file in the repository root, specifying the chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).

mediumtopics#3

Add 'awesome-list' to repository topics

Why:

CURRENT

autocomplete-suggestions, ecommerce-search, evaluating-search, knowledge-graph, learning-to-rank, natural-language-processing, query-understanding, ranking, relevance-algorithms, relevant-search, search, search-engine, search-engines, search-intents, search-ui, search-ux, semantic-search, spelling-correction, suggestions, synonyms

COPY-PASTE FIX

autocomplete-suggestions, ecommerce-search, evaluating-search, knowledge-graph, learning-to-rank, natural-language-processing, query-understanding, ranking, relevance-algorithms, relevant-search, search, search-engine, search-engines, search-intents, search-ui, search-ux, semantic-search, spelling-correction, suggestions, synonyms, awesome-list

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 frutik/awesome-search

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Algolia

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Algolia · recommended 1×
elastic/elasticsearch · recommended 1×
apache/solr · recommended 1×
Swiftype · recommended 1×
Constructor.io · recommended 1×

CATEGORY QUERY
How to improve search result relevance and user experience in an e-commerce platform?
you: not recommended
AI recommended (in order):
1. Algolia
2. Elasticsearch (elastic/elasticsearch)
3. Apache Solr (apache/solr)
4. Swiftype
5. Constructor.io
6. Lucidworks Fusion
7. Shopify Search & Discovery
AI recommended 7 alternatives but never named frutik/awesome-search. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What resources explain semantic search implementation and query understanding techniques?
you: not recommended
AI recommended (in order):
1. Elasticsearch
2. Pinecone
3. Hugging Face Transformers Library
4. Weaviate
5. Applied Text Analysis with Python
6. Google Cloud AI Platform
7. Vertex AI Search
8. Universal Sentence Encoder
9. Semantic Search: The Definitive Guide
10. Cohere
11. OpenAI
12. text-embedding-ada-002
AI recommended 12 alternatives but never named frutik/awesome-search. 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 frutik/awesome-search?
pass
AI named frutik/awesome-search explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts frutik/awesome-search in production, what risks or prerequisites should they evaluate first?
pass
AI named frutik/awesome-search 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 frutik/awesome-search solve, and who is the primary audience?
pass
AI named frutik/awesome-search 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 frutik/awesome-search. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/frutik/awesome-search.svg)](https://repogeo.com/en/r/frutik/awesome-search)

HTML

<a href="https://repogeo.com/en/r/frutik/awesome-search"><img src="https://repogeo.com/badge/frutik/awesome-search.svg" alt="RepoGEO" /></a>

Pro

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frutik/awesome-search — 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