REPOGEO REPORT · LITE

AlexZhangji/Twitter-Insight-LLM

Default branch main · commit 9aea10b2 · scanned 6/7/2026, 5:03:20 AM

GitHub: 679 stars · 78 forks

AI VISIBILITY SCORE

17 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

1 pass · 0 warn · 1 fail

Objective metadata checks

AI knows your name

1 / 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 AlexZhangji/Twitter-Insight-LLM, 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 specific topics to improve categorization

Why:

COPY-PASTE FIX

twitter-scraping, llm, image-search, natural-language-processing, data-analysis, social-media-analytics, selenium, streamlit

highreadme#2

Reposition the README's opening to highlight unique features

Why:

CURRENT

This project enables you to fetch liked tweets from Twitter (using Selenium), save it to JSON and Excel files, and perform initial data analysis and image captions. This is part of the initial steps for a larger personal project involving Large Language Models (LLMs).

COPY-PASTE FIX

Twitter-Insight💡 is a powerful tool for scraping Twitter liked tweets, performing data analysis, and uniquely, offering **LLM-powered natural language image search without a GPU**. This project combines robust Twitter data extraction with advanced image understanding, making it ideal for social media researchers and data scientists.

mediumlicense#3

Add a LICENSE file to the repository

Why:

COPY-PASTE FIX

Create a LICENSE file in the root directory with a standard open-source license like MIT or Apache-2.0.

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 AlexZhangji/Twitter-Insight-LLM

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

CLIP

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

CLIP · recommended 1×
huggingface/transformers · recommended 1×
mlfoundations/open_clip · recommended 1×
UKP-LAB/sentence-transformers · recommended 1×
pytorch/vision · recommended 1×

CATEGORY QUERY
How can I search unlabeled images using natural language descriptions without a GPU?
you: not recommended
AI recommended (in order):
1. CLIP
2. Hugging Face Transformers (huggingface/transformers)
3. OpenCLIP (mlfoundations/open_clip)
4. Sentence Transformers (UKP-LAB/sentence-transformers)
5. torchvision (pytorch/vision)
6. Keras (keras-team/keras)
7. Faiss (facebookresearch/faiss)
8. Weaviate (weaviate/weaviate)
9. Elasticsearch (elastic/elasticsearch)
10. ONNX Runtime (microsoft/onnxruntime)
AI recommended 10 alternatives but never named AlexZhangji/Twitter-Insight-LLM. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What tools help scrape Twitter liked tweets for data analysis and image insights?
you: not recommended
AI recommended (in order):
1. Twint (twintproject/twint)
2. Twitter API
3. Octoparse
4. ParseHub
5. Apify
6. Bright Data
7. Scrapy (scrapy/scrapy)
AI recommended 7 alternatives but never named AlexZhangji/Twitter-Insight-LLM. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
fail
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 AlexZhangji/Twitter-Insight-LLM?
pass
AI did not name AlexZhangji/Twitter-Insight-LLM — 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 AlexZhangji/Twitter-Insight-LLM in production, what risks or prerequisites should they evaluate first?
pass
AI named AlexZhangji/Twitter-Insight-LLM 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 AlexZhangji/Twitter-Insight-LLM solve, and who is the primary audience?
pass
AI did not name AlexZhangji/Twitter-Insight-LLM — 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?

Embed your GEO score

Drop this badge into the README of AlexZhangji/Twitter-Insight-LLM. 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/AlexZhangji/Twitter-Insight-LLM.svg)](https://repogeo.com/en/r/AlexZhangji/Twitter-Insight-LLM)

HTML

<a href="https://repogeo.com/en/r/AlexZhangji/Twitter-Insight-LLM"><img src="https://repogeo.com/badge/AlexZhangji/Twitter-Insight-LLM.svg" alt="RepoGEO" /></a>

Pro

Subscribe to Pro for deep diagnoses

AlexZhangji/Twitter-Insight-LLM — 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