RRepoGEO

REPOGEO REPORT · LITE

Osilly/Vision-DeepResearch

Default branch main · commit 5740b7c9 · scanned 6/17/2026, 9:08:00 AM

GitHub: 647 stars · 56 forks

AI VISIBILITY SCORE
22 /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
1 / 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 Osilly/Vision-DeepResearch, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    multimodal-llm, mllm, deep-research, benchmark, multi-turn-reasoning, search-engine-interaction, vision-language-model, vlm
  • highreadme#2
    Add a concise value proposition to the top of the README

    Why:

    CURRENT
    The README currently starts with an H1 and then 'The official repo for...'
    COPY-PASTE FIX
    Add this sentence right after the H1: "Vision-DeepResearch is the first long-horizon multimodal deep-research MLLM, extending reasoning turns to dozens and search-engine interactions to hundreds, alongside its comprehensive VDR-Bench benchmark."
  • mediumhomepage#3
    Populate the repository's homepage URL in the About section

    Why:

    COPY-PASTE FIX
    https://osilly.github.io/Vision-DeepResearch/

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 Osilly/Vision-DeepResearch
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GPT-4o
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GPT-4o · recommended 1×
  2. Claude 3 Opus · recommended 1×
  3. Google Search API · recommended 1×
  4. SERP API · recommended 1×
  5. Gemini 1.5 Pro · recommended 1×
  • CATEGORY QUERY
    Need an MLLM capable of multi-turn reasoning and extensive external search for deep research.
    you: not recommended
    AI recommended (in order):
    1. GPT-4o
    2. Claude 3 Opus
    3. Google Search API
    4. SERP API
    5. Gemini 1.5 Pro
    6. Perplexity AI
    7. Llama 3
    8. LangChain
    9. LlamaIndex
    10. AutoGen
    11. Brave Search API

    AI recommended 11 alternatives but never named Osilly/Vision-DeepResearch. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a benchmark to evaluate multimodal large language models on complex research tasks.
    you: not recommended
    AI recommended (in order):
    1. MM-VET (Multimodal-VET)
    2. POPE (Perception-Oriented Probing and Evaluation)
    3. ScienceQA
    4. MMMU (Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark)
    5. MME (Multimodal Evaluation Benchmark)
    6. GQA (Scene Graph Question Answering)
    7. OKVQA (Outside Knowledge Visual Question Answering)

    AI recommended 7 alternatives but never named Osilly/Vision-DeepResearch. 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 Osilly/Vision-DeepResearch?
    pass
    AI did not name Osilly/Vision-DeepResearch — 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?

  • If a team adopts Osilly/Vision-DeepResearch in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Osilly/Vision-DeepResearch 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 Osilly/Vision-DeepResearch solve, and who is the primary audience?
    pass
    AI did not name Osilly/Vision-DeepResearch — 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

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Osilly/Vision-DeepResearch — 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