REPOGEO REPORT · LITE

harpribot/awesome-information-retrieval

Default branch master · commit a60c61a4 · scanned 5/13/2026, 11:27:39 AM

GitHub: 1,187 stars · 141 forks

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 harpribot/awesome-information-retrieval, 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

hightopics#1
Add relevant GitHub topics to the repository
Why:
COPY-PASTE FIX
```
awesome, awesome-list, information-retrieval, web-search, resources, curated-list
```

highreadme#2

Add a sentence to the README's introduction emphasizing its role as a comprehensive discovery hub

Why:

CURRENT

Curated list of information retrieval and web search resources from all around the web.

COPY-PASTE FIX

This comprehensive, curated list serves as your central hub for discovering essential information retrieval and web search resources, from foundational books and courses to cutting-edge software and datasets.

mediumhomepage#3
Set the repository homepage URL
Why:
COPY-PASTE FIX
```
https://github.com/harpribot/awesome-information-retrieval
```

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 harpribot/awesome-information-retrieval

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Manning, Raghavan, and Schütze's Introduction to Information Retrieval

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Manning, Raghavan, and Schütze's Introduction to Information Retrieval · recommended 1×
Croft, Metzler, and Strohman's Search Engines: Information Retrieval in Practice · recommended 1×
Stanford University's CS276: Information Retrieval and Web Search Course · recommended 1×
University of Washington's CSE 546: Machine Learning · recommended 1×
TREC (Text REtrieval Conference) Proceedings · recommended 1×

CATEGORY QUERY
Where can I find comprehensive resources for learning about information retrieval systems?
you: not recommended
AI recommended (in order):
1. Manning, Raghavan, and Schütze's Introduction to Information Retrieval
2. Croft, Metzler, and Strohman's Search Engines: Information Retrieval in Practice
3. Stanford University's CS276: Information Retrieval and Web Search Course
4. University of Washington's CSE 546: Machine Learning
5. TREC (Text REtrieval Conference) Proceedings
6. ACM SIGIR (Special Interest Group on Information Retrieval) Conference Proceedings
AI recommended 6 alternatives but never named harpribot/awesome-information-retrieval. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are the essential tools and datasets for building a web search application?
you: not recommended
AI recommended (in order):
1. Apache Nutch
2. Scrapy
3. Common Crawl
4. Apache Solr
5. Elasticsearch
6. Apache Lucene
7. XGBoost
8. LightGBM
9. Django
10. Ruby on Rails
11. Node.js
12. Express.js
13. React
14. Vue.js
15. Angular
16. MS MARCO
17. TREC Datasets
18. ClueWeb09
19. ClueWeb12
AI recommended 19 alternatives but never named harpribot/awesome-information-retrieval. 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 harpribot/awesome-information-retrieval?
pass
AI named harpribot/awesome-information-retrieval explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts harpribot/awesome-information-retrieval in production, what risks or prerequisites should they evaluate first?
pass
AI named harpribot/awesome-information-retrieval 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 harpribot/awesome-information-retrieval solve, and who is the primary audience?
pass
AI named harpribot/awesome-information-retrieval 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 harpribot/awesome-information-retrieval. 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/harpribot/awesome-information-retrieval.svg)](https://repogeo.com/en/r/harpribot/awesome-information-retrieval)

HTML

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

Pro

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harpribot/awesome-information-retrieval — 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