RRepoGEO

REPOGEO REPORT · LITE

texttron/hyde

Default branch main · commit a2fd8734 · scanned 6/12/2026, 4:08:28 AM

GitHub: 581 stars · 40 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 texttron/hyde, 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
    Add a concise introductory sentence to the README

    Why:

    COPY-PASTE FIX
    This repository provides the official implementation of HyDE, a novel method for **zero-shot dense information retrieval** that leverages large language models to achieve precise results without human-labeled data.
  • highlicense#2
    Add a LICENSE file to the repository root

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root containing the text of a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that aligns with the project's intent.
  • mediumhomepage#3
    Add a homepage URL to the About section

    Why:

    COPY-PASTE FIX
    Set the repository's homepage URL in the About section to `https://arxiv.org/abs/2212.10496` (the associated paper).

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 texttron/hyde
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
UKP-LABS/sentence-transformers
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. UKP-LABS/sentence-transformers · recommended 1×
  2. OpenAI Embeddings · recommended 1×
  3. huggingface/transformers · recommended 1×
  4. Cohere Embeddings · recommended 1×
  5. UKP-LABS/gpl · recommended 1×
  • CATEGORY QUERY
    How to perform dense information retrieval without needing human-labeled training data?
    you: not recommended
    AI recommended (in order):
    1. Sentence-BERT (UKP-LABS/sentence-transformers)
    2. OpenAI Embeddings
    3. Hugging Face Transformers (huggingface/transformers)
    4. Cohere Embeddings
    5. GPL (UKP-LABS/gpl)
    6. SimCSE (princeton-nlp/SimCSE)
    7. E5 Embeddings (intfloat/e5)

    AI recommended 7 alternatives but never named texttron/hyde. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help improve search relevance using large language models for zero-shot scenarios?
    you: not recommended
    AI recommended (in order):
    1. Haystack (deepset-ai/haystack)
    2. LlamaIndex (run-llama/llama_index)
    3. LangChain (langchain-ai/langchain)
    4. Weaviate (weaviate/weaviate)
    5. Pinecone
    6. Elasticsearch (elastic/elasticsearch)
    7. ELSER
    8. Cohere

    AI recommended 8 alternatives but never named texttron/hyde. 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 texttron/hyde?
    pass
    AI named texttron/hyde explicitly

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

  • If a team adopts texttron/hyde in production, what risks or prerequisites should they evaluate first?
    pass
    AI named texttron/hyde 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 texttron/hyde solve, and who is the primary audience?
    pass
    AI named texttron/hyde 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 texttron/hyde. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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HTML
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texttron/hyde — 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