RRepoGEO

REPOGEO REPORT · LITE

facebookresearch/EmpatheticDialogues

Default branch main · commit 9649114c · scanned 6/1/2026, 7:13:09 PM

GitHub: 551 stars · 69 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 facebookresearch/EmpatheticDialogues, 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

1 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • mediumlicense#1
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    Add a 'License' section to the README, stating: 'This project is licensed under the terms found in the LICENSE file. Please review the LICENSE file for specific details regarding usage and distribution.'

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 facebookresearch/EmpatheticDialogues
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face Transformers
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Transformers · recommended 2×
  2. OpenAI GPT-4 / GPT-3.5 Turbo · recommended 1×
  3. Anthropic Claude 3 (Opus/Sonnet/Haiku) · recommended 1×
  4. Google Gemini (Pro/Ultra) · recommended 1×
  5. Meta Llama 3 (8B/70B) · recommended 1×
  • CATEGORY QUERY
    How can I implement an AI model for generating empathetic conversational responses?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4 / GPT-3.5 Turbo
    2. Anthropic Claude 3 (Opus/Sonnet/Haiku)
    3. Google Gemini (Pro/Ultra)
    4. Meta Llama 3 (8B/70B)
    5. Hugging Face Transformers
    6. Mistral 7B Instruct
    7. Llama 2 7B/13B Chat
    8. Cohere Command R/R+

    AI recommended 8 alternatives but never named facebookresearch/EmpatheticDialogues. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What PyTorch-based solutions exist for building emotionally intelligent dialogue systems?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. PyTorch-Lightning
    3. DeepPavlov
    4. ParlAI
    5. AllenNLP
    6. SpeechBrain

    AI recommended 6 alternatives but never named facebookresearch/EmpatheticDialogues. 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 facebookresearch/EmpatheticDialogues?
    pass
    AI did not name facebookresearch/EmpatheticDialogues — 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 facebookresearch/EmpatheticDialogues in production, what risks or prerequisites should they evaluate first?
    pass
    AI named facebookresearch/EmpatheticDialogues 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 facebookresearch/EmpatheticDialogues solve, and who is the primary audience?
    pass
    AI did not name facebookresearch/EmpatheticDialogues — 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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MARKDOWN (README)
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HTML
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facebookresearch/EmpatheticDialogues — 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