REPOGEO REPORT · LITE

nomic-ai/nomic

Default branch main · commit b963f429 · scanned 6/27/2026, 2:46:47 PM

GitHub: 1,879 stars · 196 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)

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

AI VISIBILITY SCORE

35 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

1 pass · 1 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 nomic-ai/nomic, 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

highlicense#1

Create a LICENSE file

Why:

COPY-PASTE FIX

Create a LICENSE file (e.g., MIT, Apache-2.0, or a custom license if applicable) in the repository root to clearly state the terms of use.

highreadme#2

Clarify the platform's core value proposition in the README's opening

Why:

CURRENT

Nomic Atlas Python Client
Explore, label, search and share massive datasets in your web browser.
This repository contains Python bindings for working with Nomic Atlas, the world’s most powerful unstructured data interaction platform.

COPY-PASTE FIX

Nomic Atlas Python Client: The SDK for Nomic Atlas, the leading platform for interactive visualization, exploration, and curation of massive unstructured datasets (text, images, audio, video) in your web browser. Generate, store, and retrieve embeddings, find insights, and share your data findings at scale.

mediumabout#3

Enhance the repository's 'About' description

Why:

CURRENT

Nomic Developer API SDK

COPY-PASTE FIX

Python SDK for Nomic Atlas, the interactive platform for visualizing, exploring, and curating massive unstructured datasets (text, images, audio, video) using embeddings.

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 nomic-ai/nomic

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Elastic Stack

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Elastic Stack · recommended 1×
Elasticsearch · recommended 1×
Kibana · recommended 1×
Logstash · recommended 1×
Beats · recommended 1×

CATEGORY QUERY
How to visualize and explore insights from millions of unstructured text documents?
you: not recommended
AI recommended (in order):
1. Elastic Stack
2. Elasticsearch
3. Kibana
4. Logstash
5. Beats
6. Splunk
7. Tableau
8. Python
9. NLTK
10. spaCy
11. scikit-learn
12. R
13. OpenText Magellan
14. MonkeyLearn
15. Qlik Sense
16. QlikView
17. Google Cloud Natural Language API
18. Azure Text Analytics
19. AWS Comprehend
20. Google Data Studio
21. Power BI
AI recommended 21 alternatives but never named nomic-ai/nomic. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What tools help find patterns and duplicates in large datasets using embeddings?
you: not recommended
AI recommended (in order):
1. Faiss (facebookresearch/faiss)
2. Annoy (spotify/annoy)
3. Hnswlib (nmslib/hnswlib)
4. Weaviate (weaviate/weaviate)
5. Pinecone
6. Elasticsearch (elastic/elasticsearch)
7. ScaNN (google-research/google-research)
AI recommended 7 alternatives but never named nomic-ai/nomic. This is the gap to close.
Show full AI answer

Objective checks

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

Metadata completeness
warn
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 nomic-ai/nomic?
pass
AI named nomic-ai/nomic explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts nomic-ai/nomic in production, what risks or prerequisites should they evaluate first?
pass
AI named nomic-ai/nomic 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 nomic-ai/nomic solve, and who is the primary audience?
pass
AI named nomic-ai/nomic 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 nomic-ai/nomic. 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/nomic-ai/nomic.svg)](https://repogeo.com/en/r/nomic-ai/nomic)

HTML

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

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Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite