REPOGEO REPORT · LITE

SpursGoZmy/Awesome-Tabular-LLMs

Default branch main · commit 49fe5363 · scanned 6/5/2026, 12:02:56 AM

GitHub: 632 stars · 45 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 SpursGoZmy/Awesome-Tabular-LLMs, 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 categorize the repository

Why:

COPY-PASTE FIX

awesome-list, tabular-data, llm, large-language-models, table-qa, nlp, research-papers, paper-collection, survey

highreadme#2

Reposition the core purpose statement to the very top of the README

Why:

CURRENT

The current README starts with '🤝 Contributions Welcome 🚀' followed by contribution guidelines, before the main title and description.

COPY-PASTE FIX

Move the core description to the very top of the README, before any contribution sections or the main title. For example:

`This repository is a curated awesome list collecting papers about 'large language models (LLM) for table-related tasks', such as using LLMs for Table QA. It serves as a comprehensive resource for researchers and practitioners interested in Tabular LLMs and their applications.`

(Then follow with your existing `# A-Paper-List-of-Awesome-Tabular-LLMs` and contribution sections.)

mediumlicense#3
Add a LICENSE file to the repository
Why:
COPY-PASTE FIX
```
Add a LICENSE file (e.g., MIT or Apache-2.0) to the repository root.
```

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 SpursGoZmy/Awesome-Tabular-LLMs

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

GPT-3.5

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

GPT-3.5 · recommended 1×
GPT-4 · recommended 1×
TableGPT · recommended 1×
Code Llama · recommended 1×
BINDER · recommended 1×

CATEGORY QUERY
What are the latest research papers on using large language models for table data analysis?
you: not recommended
AI recommended (in order):
1. GPT-3.5
2. GPT-4
3. TableGPT
4. Code Llama
5. BINDER
6. TAPAS
7. BERT
AI recommended 7 alternatives but never named SpursGoZmy/Awesome-Tabular-LLMs. This is the gap to close.
Show full AI answer
CATEGORY QUERY
How can I leverage LLMs to perform question answering on structured tabular datasets?
you: not recommended
AI recommended (in order):
1. LangChain
2. LlamaIndex
3. OpenAI API
4. Hugging Face Transformers
5. Microsoft Semantic Kernel
6. Google Cloud Vertex AI
7. Dataherald
AI recommended 7 alternatives but never named SpursGoZmy/Awesome-Tabular-LLMs. 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 SpursGoZmy/Awesome-Tabular-LLMs?
pass
AI did not name SpursGoZmy/Awesome-Tabular-LLMs — 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 SpursGoZmy/Awesome-Tabular-LLMs in production, what risks or prerequisites should they evaluate first?
pass
AI named SpursGoZmy/Awesome-Tabular-LLMs 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 SpursGoZmy/Awesome-Tabular-LLMs solve, and who is the primary audience?
pass
AI did not name SpursGoZmy/Awesome-Tabular-LLMs — 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

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MARKDOWN (README)

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HTML

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SpursGoZmy/Awesome-Tabular-LLMs — 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