REPOGEO REPORT · LITE

julien040/anyquery

Default branch main · commit cdcd194a · scanned 5/25/2026, 1:46:31 AM

GitHub: 1,702 stars · 120 forks

AI VISIBILITY SCORE

40 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 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 julien040/anyquery, 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

Reposition the README's opening paragraph to highlight dual functionality

Why:

CURRENT

Anyquery is a SQL query engine that allows you to run SQL queries on pretty much anything. It supports querying files, databases, and apps (e.g. Apple Notes, Notion, Chrome, Todoist, etc.). It's built on top of SQLite and uses plugins to extend its functionality. It can also connect to LLMs (e.g. ChatGPT, Claude, Cursor, TypingMind, etc.) to allow them to access your data. Finally, it can act as a MySQL server...

COPY-PASTE FIX

Anyquery is a powerful federated SQL query engine that unifies access to over 40 diverse data sources (APIs, files, databases, apps like Notion, GitHub, Salesforce) with a single SQL interface. It uniquely enables LLMs (ChatGPT, Claude) to query and interact with this disparate data via the Model Context Protocol (MCP) or function calling, and can act as a MySQL server for client compatibility.

mediumtopics#2

Add more specific topics for federated querying and LLM data access

Why:

CURRENT

ai, analytics, api, business-intelligence, chatgpt, csv, data-visualization, database, github, go, hacktoberfest, json, llm, mcp, mysql, notion, parquet, salesforce, sql, sqlite

COPY-PASTE FIX

ai, analytics, api, business-intelligence, chatgpt, csv, data-visualization, database, github, go, hacktoberfest, json, llm, mcp, mysql, notion, parquet, salesforce, sql, sqlite, federated-query, data-virtualization, llm-agent, rag, data-integration

lowlicense#3

Clarify the project's license in the README

Why:

COPY-PASTE FIX

Add a section or line to the README: "## License
This project uses a custom license. Please refer to the LICENSE file for full details on usage and distribution."

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 julien040/anyquery

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

trinodb/trino

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

trinodb/trino · recommended 1×
Dremio · recommended 1×
apache/drill · recommended 1×
Starburst Enterprise · recommended 1×
CData Connect Cloud · recommended 1×

CATEGORY QUERY
How to query data across various APIs, files, and databases using a single SQL interface?
you: not recommended
AI recommended (in order):
1. Trino (trinodb/trino)
2. Dremio
3. Apache Drill (apache/drill)
4. Starburst Enterprise
5. CData Connect Cloud
6. Denodo Platform
AI recommended 6 alternatives but never named julien040/anyquery. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Tool to allow large language models to query and access my disparate data sources?
you: not recommended
AI recommended (in order):
1. LangChain (langchain-ai/langchain)
2. LlamaIndex (run-llama/llama_index)
3. DataStax Astra DB
4. RAGStack (datastax/RAGStack)
5. Microsoft Azure AI Search
6. Pinecone
7. Weaviate (weaviate/weaviate)
AI recommended 7 alternatives but never named julien040/anyquery. This is the gap to close.
Show full AI answer

Objective checks

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

Metadata completeness
pass
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 julien040/anyquery?
pass
AI named julien040/anyquery explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts julien040/anyquery in production, what risks or prerequisites should they evaluate first?
pass
AI named julien040/anyquery 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 julien040/anyquery solve, and who is the primary audience?
pass
AI named julien040/anyquery explicitly
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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Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite