REPOGEO REPORT · LITE

Nutlope/turboseek

Default branch main · commit e3e652ea · scanned 6/26/2026, 4:52:52 PM

GitHub: 1,638 stars · 255 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 Nutlope/turboseek, 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 core value proposition to be more explicit

Why:

CURRENT

<p align="center">
  An open source AI search engine. Powered by Together.ai.
</p>

COPY-PASTE FIX

<p align="center">
  <b>TurboSeek is an open-source, Perplexity-style AI search engine</b> that summarizes web content using LLMs like Llama 3.1 and Exa.ai for search. Powered by Together.ai.
</p>

hightopics#2

Add relevant topics to the repository

Why:

CURRENT

(none)

COPY-PASTE FIX

ai-search-engine, perplexity-alternative, llm, web-summarization, nextjs, together-ai, exa-ai

mediumlicense#3

Add a LICENSE file to the repository

Why:

CURRENT

(no LICENSE file detected — the repo has no recognizable license)

COPY-PASTE FIX

Create a LICENSE file (e.g., MIT or Apache-2.0) in the root of the repository.

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 Nutlope/turboseek

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

huggingface/transformers

Recommended in 3 of 2 queries

COMPETITOR LEADERBOARD

huggingface/transformers · recommended 3×
deepset-ai/haystack · recommended 1×
run-llama/llama_index · recommended 1×
langchain-ai/langchain · recommended 1×
elastic/elasticsearch · recommended 1×

CATEGORY QUERY
Looking for an open-source project to create a Perplexity-style AI search engine.
you: not recommended
AI recommended (in order):
1. Haystack (deepset-ai/haystack)
2. LlamaIndex (run-llama/llama_index)
3. LangChain (langchain-ai/langchain)
4. Elasticsearch (elastic/elasticsearch)
5. Sentence Transformers (UKP-SQuARE/sentence-transformers)
6. Hugging Face Transformers (huggingface/transformers)
7. Weaviate (weaviate/weaviate)
8. Qdrant (qdrant/qdrant)
9. Pinecone
10. Hugging Face Transformers (huggingface/transformers)
11. OpenSearch (opensearch-project/OpenSearch)
AI recommended 11 alternatives but never named Nutlope/turboseek. This is the gap to close.
Show full AI answer
CATEGORY QUERY
How can I build a custom AI-powered search engine that summarizes web content?
you: not recommended
AI recommended (in order):
1. Elasticsearch
2. Kibana
3. Logstash
4. Hugging Face Transformers (huggingface/transformers)
5. PyTorch (pytorch/pytorch)
6. TensorFlow (tensorflow/tensorflow)
7. Beautiful Soup 4 (crummy/BeautifulSoup)
8. Scrapy (scrapy/scrapy)
9. Faiss (facebookresearch/faiss)
10. Annoy (spotify/annoy)
11. Streamlit (streamlit/streamlit)
12. Flask (pallets/flask)
13. Django (django/django)
14. React (facebook/react)
15. Vue.js (vuejs/core)
16. NLTK (nltk/nltk)
17. spaCy (explosion/spaCy)
18. Docker (moby/moby)
19. Kubernetes (kubernetes/kubernetes)
AI recommended 19 alternatives but never named Nutlope/turboseek. 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 Nutlope/turboseek?
pass
AI named Nutlope/turboseek explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts Nutlope/turboseek in production, what risks or prerequisites should they evaluate first?
pass
AI named Nutlope/turboseek 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 Nutlope/turboseek solve, and who is the primary audience?
pass
AI named Nutlope/turboseek explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/Nutlope/turboseek.svg)](https://repogeo.com/en/r/Nutlope/turboseek)

HTML

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

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Nutlope/turboseek — 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