REPOGEO REPORT · LITE

spcl/graph-of-thoughts

Default branch main · commit 3d9d9dbd · scanned 6/20/2026, 2:51:44 PM

GitHub: 2,722 stars · 209 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 spcl/graph-of-thoughts, 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 README opening to explicitly state it's an LLM reasoning framework

Why:

CURRENT

This is the official implementation of Graph of Thoughts: Solving Elaborate Problems with Large Language Models. This framework gives you the ability to solve complex problems by modeling them as a Graph of Operations (GoO), which is automatically executed with a Large Language Model (LLM) as the engine.

COPY-PASTE FIX

Graph of Thoughts (GoT) is an official open-source framework for solving elaborate problems with Large Language Models (LLMs) by modeling them as a Graph of Operations (GoO). This framework gives you the ability to solve complex problems by automatically executing GoOs with an LLM as the engine.

mediumtopics#2

Add `llm-framework` and `ai-framework` topics

Why:

CURRENT

graph-of-thoughts, graph-structures, graphs, large-language-models, llm, prompt-engineering, prompting

COPY-PASTE FIX

graph-of-thoughts, graph-structures, graphs, large-language-models, llm, prompt-engineering, prompting, llm-framework, ai-framework

lowlicense#3

Add a section to README clarifying the project's license

Why:

COPY-PASTE FIX

## License

This project is licensed under [State the specific license(s) here, e.g., 'the Apache 2.0 License and the MIT License for specific components']. Please refer to the `LICENSE` file for full details.

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 spcl/graph-of-thoughts

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

LangChain

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

LangChain · recommended 2×
LlamaIndex · recommended 2×
OpenAI's GPT-4 · recommended 1×
Anthropic's Claude 3 Opus · recommended 1×
Google's Gemini Advanced · recommended 1×

CATEGORY QUERY
How to improve large language model reasoning for elaborate problems using structured prompts?
you: not recommended
AI recommended (in order):
1. OpenAI's GPT-4
2. Anthropic's Claude 3 Opus
3. Google's Gemini Advanced
4. OpenAI's GPT-4 Turbo
5. Anthropic's Claude 3 Sonnet/Opus
6. Pinecone
7. Weaviate
8. Chroma
9. LangChain
10. LlamaIndex
11. Mistral AI's Mixtral 8x7B
12. Google's PaLM 2
13. Meta's Llama 2
AI recommended 13 alternatives but never named spcl/graph-of-thoughts. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Framework for building complex LLM problem-solving workflows beyond basic chain-of-thought?
you: not recommended
AI recommended (in order):
1. LangChain
2. LlamaIndex
3. AutoGen
4. Haystack
5. DSPy
6. CrewAI
AI recommended 6 alternatives but never named spcl/graph-of-thoughts. 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 spcl/graph-of-thoughts?
pass
AI named spcl/graph-of-thoughts explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts spcl/graph-of-thoughts in production, what risks or prerequisites should they evaluate first?
pass
AI named spcl/graph-of-thoughts 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 spcl/graph-of-thoughts solve, and who is the primary audience?
pass
AI named spcl/graph-of-thoughts 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)

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spcl/graph-of-thoughts — 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