REPOGEO REPORT · LITE

valentinfrlch/ha-llmvision

Default branch main · commit 408887c6 · scanned 5/13/2026, 3:38:30 AM

GitHub: 1,327 stars · 118 forks

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 valentinfrlch/ha-llmvision, 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 opening statement to highlight Home Assistant and multimodal LLM integration

Why:

CURRENT

Visual intelligence for your home. LLM Vision is a Home Assistant integration that uses multimodal large language models to analyze images, videos, live camera feeds, and Frigate events.

COPY-PASTE FIX

LLM Vision is a Home Assistant integration that brings advanced visual intelligence to your home using multimodal large language models (LLMs) to analyze camera feeds and events.

mediumtopics#2

Add more specific topics to reinforce the unique combination of Home Assistant and multimodal LLMs

Why:

CURRENT

ai, cctv-detection, hacs-integration, home-assistant, llm, multimodal, notifications, smart-home, vision

COPY-PASTE FIX

ai, cctv-detection, hacs-integration, home-assistant, llm, multimodal, notifications, smart-home, vision, home-assistant-llm, multimodal-vision, local-llm-vision

lowabout#3
Update the repository description to be more specific about its core function
Why:
CURRENT
```
Visual intelligence for your home.
```
COPY-PASTE FIX
```
Home Assistant integration for multimodal LLM vision analysis of camera feeds and events.
```

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 valentinfrlch/ha-llmvision

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Google Cloud Vision AI

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Google Cloud Vision AI · recommended 2×
Frigate · recommended 1×
DeepStack · recommended 1×
Blue Iris · recommended 1×
CodeProject.AI Server · recommended 1×

CATEGORY QUERY
How can I integrate AI vision analysis into my Home Assistant setup for smart notifications?
you: not recommended
AI recommended (in order):
1. Frigate
2. DeepStack
3. Blue Iris
4. CodeProject.AI Server
5. MotionEye
6. Google Cloud Vision AI
7. Amazon Rekognition
8. Microsoft Azure Computer Vision
9. OpenCV
AI recommended 9 alternatives but never named valentinfrlch/ha-llmvision. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What tools use multimodal LLMs to analyze smart home camera feeds and generate event descriptions?
you: not recommended
AI recommended (in order):
1. Google Cloud Vision AI
2. Google Vertex AI
3. Gemini
4. AWS Rekognition
5. Amazon Bedrock
6. Anthropic's Claude 3
7. Microsoft Azure AI Video Indexer
8. Azure OpenAI Service
9. GPT-4o
10. GPT-4 Turbo with Vision
11. OpenAI API
12. OpenCV (opencv/opencv)
13. YOLO
14. LlamaIndex (run-llama/llama_index)
15. LangChain (langchain-ai/langchain)
16. LLaVA (haotian-liu/LLaVA)
17. Fuyu-8B
AI recommended 17 alternatives but never named valentinfrlch/ha-llmvision. 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 valentinfrlch/ha-llmvision?
pass
AI named valentinfrlch/ha-llmvision explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts valentinfrlch/ha-llmvision in production, what risks or prerequisites should they evaluate first?
pass
AI named valentinfrlch/ha-llmvision 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 valentinfrlch/ha-llmvision solve, and who is the primary audience?
pass
AI named valentinfrlch/ha-llmvision explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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MARKDOWN (README)

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HTML

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valentinfrlch/ha-llmvision — 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