RRepoGEO

REPOGEO REPORT · LITE

airsplay/lxmert

Default branch master · commit 0db1182b · scanned 6/6/2026, 12:18:14 AM

GitHub: 967 stars · 162 forks

AI VISIBILITY SCORE
54 /100
Needs work
Category recall
1 / 2
Avg rank #6.0 when recommended
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 airsplay/lxmert, 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 improve categorization

    Why:

    COPY-PASTE FIX
    multimodal, vision-language, transformers, pytorch, vqa, gqa, nlvr2, nlp, computer-vision
  • mediumhomepage#2
    Add the official paper link as the repository homepage

    Why:

    COPY-PASTE FIX
    https://arxiv.org/abs/1907.05561
  • mediumreadme#3
    Add a concise value proposition after the main title in README

    Why:

    CURRENT
    # LXMERT: Learning Cross-Modality Encoder Representations from Transformers
    COPY-PASTE FIX
    # LXMERT: Learning Cross-Modality Encoder Representations from Transformers

This repository provides the PyTorch implementation for LXMERT, a pioneering model for deep, unified understanding of both visual and linguistic information, enabling tasks like Visual Question Answering.

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
1 / 2
50% of queries surface airsplay/lxmert
Avg rank
#6.0
Lower is better. #1 = top recommendation.
Share of voice
8%
Of all named tools, what % are you?
Top rival
OpenAI CLIP
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI CLIP · recommended 1×
  2. Google ALIGN · recommended 1×
  3. Meta FLAVA · recommended 1×
  4. Google ViLT · recommended 1×
  5. OFA · recommended 1×
  • CATEGORY QUERY
    What are effective PyTorch models for learning unified representations from images and text?
    you: not recommended
    AI recommended (in order):
    1. OpenAI CLIP
    2. Google ALIGN
    3. Meta FLAVA
    4. Google ViLT
    5. OFA
    6. UNITER
    7. VL-BERT

    AI recommended 7 alternatives but never named airsplay/lxmert. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking transformer-based solutions for visual question answering and multimodal understanding.
    you: #6
    AI recommended (in order):
    1. BLIP
    2. ViLT
    3. VisualBERT
    4. OSCAR
    5. Flamingo
    6. LXMERT ← you
    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 airsplay/lxmert?
    pass
    AI named airsplay/lxmert explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts airsplay/lxmert in production, what risks or prerequisites should they evaluate first?
    pass
    AI named airsplay/lxmert 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 airsplay/lxmert solve, and who is the primary audience?
    pass
    AI named airsplay/lxmert 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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airsplay/lxmert — 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