RRepoGEO

REPOGEO REPORT · LITE

howl-anderson/unlocking-the-power-of-llms

Default branch master · commit f2b03636 · scanned 7/1/2026, 1:03:06 PM

GitHub: 2,470 stars · 157 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 howl-anderson/unlocking-the-power-of-llms, 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
  • highlicense#1
    Add a LICENSE file

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root, specifying the chosen open-source license (e.g., MIT, Apache-2.0).
  • highreadme#2
    Reposition README opening to clarify its nature as a practical guide/toolkit

    Why:

    CURRENT
    # 使用 Prompts 和 Chains 让 ChatGPT 成为神奇的生产力工具！ ChatGPT 诞生后，因其非常强大的又难以置信的的能力，得到了非常广泛的关注。用户将 ChatGPT 视作一种有趣且知识渊博的聊天工具。但事实上，使用合适的 Prompts 和 Chains，可以将 ChatGPT 作为一个神奇的生产力工具，能够处理各种各样复杂的任务。本仓库将详细介绍如何使用 ChatGPT 完成各种任务。
    COPY-PASTE FIX
    # 使用 Prompts 和 Chains 让 ChatGPT 成为神奇的生产力工具！ 本仓库是一个全面的实践指南和资源集合，详细介绍如何利用合适的 Prompts 和 Chains，将 ChatGPT 作为一个神奇的生产力工具，能够处理各种各样复杂的任务。
  • mediumtopics#3
    Enhance topics for better categorization as a guide/tutorial

    Why:

    CURRENT
    bard, best-practices, chatgpt, google-bard, large-language-models, openai-chatgpt, productivity-tools, prompts, prompts-cn
    COPY-PASTE FIX
    bard, best-practices, chatgpt, google-bard, large-language-models, openai-chatgpt, productivity-tools, prompts, prompts-cn, prompt-engineering-guide, llm-tutorials, ai-productivity-guide

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 howl-anderson/unlocking-the-power-of-llms
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Anthropic Claude
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Anthropic Claude · recommended 2×
  2. OpenAI Playground/API · recommended 1×
  3. Google Gemini · recommended 1×
  4. LangChain · recommended 1×
  5. LlamaIndex · recommended 1×
  • CATEGORY QUERY
    How to maximize productivity with large language models using prompt engineering techniques?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Playground/API
    2. Anthropic Claude
    3. Google Gemini
    4. LangChain
    5. LlamaIndex
    6. PromptPerfect
    7. Weights & Biases (W&B Prompts)

    AI recommended 7 alternatives but never named howl-anderson/unlocking-the-power-of-llms. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are effective strategies for building powerful AI applications for text tasks?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-3.5 / GPT-4
    2. Hugging Face Transformers
    3. Google Cloud Vertex AI
    4. Anthropic Claude
    5. Prodigy
    6. Label Studio
    7. Snorkel
    8. MLflow
    9. Weights & Biases
    10. Arize AI
    11. Sentence-BERT (SBERT)
    12. spaCy
    13. FastText
    14. Pinecone
    15. Weaviate
    16. Chroma

    AI recommended 16 alternatives but never named howl-anderson/unlocking-the-power-of-llms. 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 howl-anderson/unlocking-the-power-of-llms?
    pass
    AI did not name howl-anderson/unlocking-the-power-of-llms — 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 howl-anderson/unlocking-the-power-of-llms in production, what risks or prerequisites should they evaluate first?
    pass
    AI named howl-anderson/unlocking-the-power-of-llms 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 howl-anderson/unlocking-the-power-of-llms solve, and who is the primary audience?
    pass
    AI did not name howl-anderson/unlocking-the-power-of-llms — 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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howl-anderson/unlocking-the-power-of-llms — 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