REPOGEO REPORT · LITE

Kanaries/Rath

Default branch master · commit a237499b · scanned 6/30/2026, 8:41:51 PM

GitHub: 4,655 stars · 383 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 Kanaries/Rath, 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

Move core value proposition to the top of the README

Why:

CURRENT

The README starts with badges, then language links, then "## Introduction" followed by the core description.

COPY-PASTE FIX

Place the following text immediately after any initial badges/images, before language links or "Introduction" heading:
"**RATH** is an open-source, next-generation automated data exploratory analysis and visualization platform. It automates your Exploratory Data Analysis workflow with an Augmented Analytic engine, discovering patterns, insights, and causals, and presenting them with powerful auto-generated multi-dimensional data visualizations, serving as an alternative to tools like Tableau."

mediumabout#2

Refine repository description to emphasize open-source and competitive positioning

Why:

CURRENT

Next generation of automated data exploratory analysis and visualization platform.

COPY-PASTE FIX

Rath is an open-source, next-generation automated data exploratory analysis and visualization platform, serving as an augmented analytics alternative to commercial tools like Tableau.

lowcomparison#3

Add a dedicated 'Comparison with Alternatives' section to README

Why:

COPY-PASTE FIX

Add a new section to the README, for example:
"## Comparison with Alternatives 
 While tools like Tableau, Power BI, Apache Superset, and Metabase offer powerful data visualization, Rath differentiates itself by automating the entire exploratory data analysis workflow. Unlike these tools which often require manual chart selection and extensive user interaction, Rath's augmented analytics engine automatically discovers patterns, insights, and causals, generating multi-dimensional visualizations with minimal user input."

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 Kanaries/Rath

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Tableau

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Tableau · recommended 1×
Microsoft Power BI · recommended 1×
Qlik Sense · recommended 1×
Google Looker Studio · recommended 1×
ThoughtSpot · recommended 1×

CATEGORY QUERY
Looking for a tool to automatically generate data visualizations and discover patterns.
you: not recommended
AI recommended (in order):
1. Tableau
2. Microsoft Power BI
3. Qlik Sense
4. Google Looker Studio
5. ThoughtSpot
6. Sisense
AI recommended 6 alternatives but never named Kanaries/Rath. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking an open-source alternative to commercial data visualization tools with augmented analytics.
you: not recommended
AI recommended (in order):
1. Apache Superset
2. Metabase
3. Grafana
4. Redash
5. Dash by Plotly
6. Kibana
AI recommended 6 alternatives but never named Kanaries/Rath. 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 Kanaries/Rath?
pass
AI named Kanaries/Rath explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts Kanaries/Rath in production, what risks or prerequisites should they evaluate first?
pass
AI named Kanaries/Rath 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 Kanaries/Rath solve, and who is the primary audience?
pass
AI named Kanaries/Rath 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 Kanaries/Rath. 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/Kanaries/Rath.svg)](https://repogeo.com/en/r/Kanaries/Rath)

HTML

<a href="https://repogeo.com/en/r/Kanaries/Rath"><img src="https://repogeo.com/badge/Kanaries/Rath.svg" alt="RepoGEO" /></a>

Pro

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Kanaries/Rath — 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