REPOGEO REPORT · LITE
bird-bench/BIRD-CRITIC-1
Default branch main · commit f408d6c9 · scanned 5/18/2026, 1:57:40 PM
GitHub: 1,095 stars · 34 forks
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 bird-bench/BIRD-CRITIC-1, 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.
- hightopics#1Add specific topics for LLM evaluation and datasets
Why:
COPY-PASTE FIXllm, text-to-sql, sql-evaluation, benchmark, dataset, large-language-models, neurips
- highreadme#2Update README H1 to clearly state LLM evaluation purpose
Why:
CURRENT# BIRD-CRITIC 1.0 (SQL)
COPY-PASTE FIX# BIRD-CRITIC 1.0 (SQL): A Benchmark and Dataset for LLM SQL Evaluation
- mediumreadme#3Add a concise introductory paragraph to the README
Why:
COPY-PASTE FIXBIRD-CRITIC 1.0 (SQL) is a comprehensive benchmark and dataset designed to evaluate Large Language Models (LLMs) on their ability to solve complex, real-world user SQL issues. It provides a robust framework for critiquing LLM-generated SQL and offers high-quality datasets for training and testing text-to-SQL models.
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.
- SQLFlow · recommended 1×
- psycopg2 · recommended 1×
- mysql-connector-python · recommended 1×
- pyodbc · recommended 1×
- pandas · recommended 1×
- CATEGORY QUERYHow can large language models be evaluated for solving complex user SQL problems?you: not recommendedAI recommended (in order):
- SQLFlow
- psycopg2
- mysql-connector-python
- pyodbc
- pandas
- DBT
- SQLancer
- Prometheus
- Grafana
- Datadog
- New Relic
- Prodigy
- Label Studio
- Amazon Mechanical Turk
AI recommended 14 alternatives but never named bird-bench/BIRD-CRITIC-1. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhere can I find datasets of real-world SQL issues for training LLM assistants?you: not recommendedAI recommended (in order):
- SQLShare
- Stack Overflow Data Dumps
- GitHub
- Kaggle
- DB-Engines Ranking
AI recommended 5 alternatives but never named bird-bench/BIRD-CRITIC-1. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
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 bird-bench/BIRD-CRITIC-1?passAI named bird-bench/BIRD-CRITIC-1 explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts bird-bench/BIRD-CRITIC-1 in production, what risks or prerequisites should they evaluate first?passAI named bird-bench/BIRD-CRITIC-1 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 bird-bench/BIRD-CRITIC-1 solve, and who is the primary audience?passAI named bird-bench/BIRD-CRITIC-1 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 bird-bench/BIRD-CRITIC-1. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
[](https://repogeo.com/en/r/bird-bench/BIRD-CRITIC-1)<a href="https://repogeo.com/en/r/bird-bench/BIRD-CRITIC-1"><img src="https://repogeo.com/badge/bird-bench/BIRD-CRITIC-1.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
bird-bench/BIRD-CRITIC-1 — 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