REPOGEO REPORT · LITE

InternLM/InternLM-XComposer

Default branch main · commit 0f70c3e3 · scanned 5/15/2026, 8:42:45 PM

GitHub: 2,923 stars · 175 forks

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 InternLM/InternLM-XComposer, 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 unique 'OmniLive' capabilities to the top of the README

Why:

CURRENT

The README's initial content focuses on 'InternLM-XComposer-2.5' generally, with 'InternLM-XComposer2.5-OmniLive' appearing later as a section.

COPY-PASTE FIX

Add the following sentence prominently at the very beginning of the README, perhaps right after the main title: 'InternLM-XComposer2.5-OmniLive is a comprehensive multimodal system designed for long-term streaming video and audio interactions, enabling advanced conversational AI with continuous visual and auditory input.'

mediumtopics#2

Add specific topics for streaming video and audio interactions

Why:

CURRENT

chatgpt, foundation, gpt, gpt-4, instruction-tuning, language-model, large-language-model, large-vision-language-model, llm, mllm, multi-modality, multimodal, supervised-finetuning, vision-language-model, vision-transformer, visual-language-learning

COPY-PASTE FIX

chatgpt, foundation, gpt, gpt-4, instruction-tuning, language-model, large-language-model, large-vision-language-model, llm, mllm, multi-modality, multimodal, supervised-finetuning, vision-language-model, vision-transformer, visual-language-learning, streaming-video, audio-interaction, long-term-memory, conversational-ai

mediumhomepage#3
Add a dedicated project homepage URL to the repository metadata
Why:
COPY-PASTE FIX
```
A valid URL to the official project homepage for InternLM-XComposer or InternLM-XComposer2.5-OmniLive.
```

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 InternLM/InternLM-XComposer

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Google Cloud Video Intelligence API

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Google Cloud Video Intelligence API · recommended 1×
Google Cloud Speech-to-Text · recommended 1×
Dialogflow CX · recommended 1×
AWS Rekognition (Video) · recommended 1×
AWS Transcribe · recommended 1×

CATEGORY QUERY
What multimodal AI system handles long-term streaming video and audio conversations?
you: not recommended
AI recommended (in order):
1. Google Cloud Video Intelligence API
2. Google Cloud Speech-to-Text
3. Dialogflow CX
4. AWS Rekognition (Video)
5. AWS Transcribe
6. Amazon Lex
7. Microsoft Azure Video Analyzer
8. Azure Cognitive Services for Speech
9. Azure Bot Service
10. Bot Framework Composer
11. OpenAI GPT-4o
12. DeepMind's Perceiver IO
AI recommended 12 alternatives but never named InternLM/InternLM-XComposer. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking a large vision language model for comprehensive visual learning and interactive tasks.
you: not recommended
AI recommended (in order):
1. GPT-4o
2. Gemini 1.5 Pro
3. Claude 3 Opus
4. LLaVA (Large Language and Vision Assistant)
5. CogVLM
AI recommended 5 alternatives but never named InternLM/InternLM-XComposer. 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 InternLM/InternLM-XComposer?
pass
AI named InternLM/InternLM-XComposer explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts InternLM/InternLM-XComposer in production, what risks or prerequisites should they evaluate first?
pass
AI named InternLM/InternLM-XComposer 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 InternLM/InternLM-XComposer solve, and who is the primary audience?
pass
AI named InternLM/InternLM-XComposer 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 InternLM/InternLM-XComposer. 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/InternLM/InternLM-XComposer.svg)](https://repogeo.com/en/r/InternLM/InternLM-XComposer)

HTML

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

Pro

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InternLM/InternLM-XComposer — 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