REPOGEO REPORT · LITE

yizhiyanhua-ai/fireworks-tech-graph

Default branch main · commit 89252838 · scanned 6/29/2026, 12:07:56 AM

GitHub: 8,193 stars · 708 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

33 /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

2 / 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 yizhiyanhua-ai/fireworks-tech-graph, 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 H1 to clarify project scope and avoid name confusion
Why:
CURRENT
```
# fireworks-tech-graph
```
COPY-PASTE FIX
```
# fireworks-tech-graph: Generate Technical Diagrams from Natural Language with AI
```

hightopics#2

Add broader diagramming and text-to-diagram topics

Why:

CURRENT

agent-workflows, ai, claude-code, developer-tools, diagrams, svg

COPY-PASTE FIX

agent-workflows, ai, claude-code, developer-tools, diagrams, svg, text-to-diagram, diagram-as-code, uml, architecture-diagrams, natural-language-processing

mediumreadme#3

Add a 'Why Choose This?' section to the README

Why:

COPY-PASTE FIX

## Why Choose fireworks-tech-graph?

Unlike traditional diagramming tools like Mermaid, PlantUML, or Draw.io, fireworks-tech-graph focuses on generating production-quality technical diagrams directly from natural language descriptions. It offers deep domain knowledge for AI/Agent patterns (RAG, Multi-Agent, etc.) and supports all 14 UML types, providing a more automated and intelligent approach than manual diagram-as-code or drag-and-drop editors.

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 yizhiyanhua-ai/fireworks-tech-graph

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Lucidchart

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Lucidchart · recommended 2×
mermaid-js/mermaid · recommended 1×
plantuml/plantuml · recommended 1×
excalidraw/excalidraw · recommended 1×
jgraph/drawio · recommended 1×

CATEGORY QUERY
What tools can generate professional technical diagrams from natural language descriptions?
you: not recommended
AI recommended (in order):
1. Mermaid.js (mermaid-js/mermaid)
2. PlantUML (plantuml/plantuml)
3. Excalidraw (excalidraw/excalidraw)
4. Draw.io (jgraph/drawio)
5. Lucidchart
6. Graphviz (graphviz/graphviz)
7. Kroki (yuzutech/kroki)
8. ChatGPT
9. Show Me Diagrams
AI recommended 9 alternatives but never named yizhiyanhua-ai/fireworks-tech-graph. This is the gap to close.
Show full AI answer
CATEGORY QUERY
How to automate generation of complex AI agent workflow diagrams from text?
you: not recommended
AI recommended (in order):
1. Mermaid.js
2. PlantUML
3. Graphviz
4. Draw.io (diagrams.net)
5. Lucidchart
6. yEd Graph Editor
7. D3.js
8. GoJS
AI recommended 8 alternatives but never named yizhiyanhua-ai/fireworks-tech-graph. 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 yizhiyanhua-ai/fireworks-tech-graph?
pass
AI named yizhiyanhua-ai/fireworks-tech-graph explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts yizhiyanhua-ai/fireworks-tech-graph in production, what risks or prerequisites should they evaluate first?
pass
AI named yizhiyanhua-ai/fireworks-tech-graph 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 yizhiyanhua-ai/fireworks-tech-graph solve, and who is the primary audience?
pass
AI did not name yizhiyanhua-ai/fireworks-tech-graph — likely talking about a different project
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 yizhiyanhua-ai/fireworks-tech-graph. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/yizhiyanhua-ai/fireworks-tech-graph.svg)](https://repogeo.com/en/r/yizhiyanhua-ai/fireworks-tech-graph)

HTML

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

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yizhiyanhua-ai/fireworks-tech-graph — 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