RRepoGEO

REPOGEO REPORT · LITE

HazyResearch/ama_prompting

Default branch main · commit 460843d9 · scanned 6/14/2026, 3:28:26 AM

GitHub: 547 stars · 50 forks

AI VISIBILITY SCORE
28 /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
2 / 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 HazyResearch/ama_prompting, 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

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

OVERALL DIRECTION
  • highreadme#1
    Reposition the README's opening paragraph to highlight unique value

    Why:

    CURRENT
    This repository contains code for the Ask Me Anything (AMA) prompt-aggregation strategy. The end-to-end AMA approach includes (1) recursively using the language model to transform the task format and prompt and (2) aggregating the predictions of multiple prompts using weak supervision. We include code for both components and pointers to the publicly downloadable datasets. See our paper for more details.
    COPY-PASTE FIX
    Ask Me Anything (AMA) is a novel prompt-aggregation strategy designed to significantly enhance language model accuracy beyond standard prompting. It achieves this by (1) recursively using the language model to transform the task format and prompt, and (2) aggregating predictions from multiple prompts using weak supervision. This repository provides the full code for both components, along with pointers to publicly downloadable datasets, enabling researchers and practitioners to implement advanced LLM prompting techniques.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    Add the official project or paper URL (e.g., to the associated research paper or project page) as the repository's homepage.

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 HazyResearch/ama_prompting
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 1×
  2. run-llama/llama_index · recommended 1×
  3. OpenAI API · recommended 1×
  4. microsoft/guidance · recommended 1×
  5. bigscience-data/promptsource · recommended 1×
  • CATEGORY QUERY
    How to enhance language model accuracy by combining multiple prompts?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. OpenAI API
    4. Microsoft Guidance (microsoft/guidance)
    5. PromptSource (bigscience-data/promptsource)
    6. Haystack (deepset-ai/haystack)
    7. Argilla (argilla-io/argilla)

    AI recommended 7 alternatives but never named HazyResearch/ama_prompting. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a framework for advanced LLM prompting and weak supervision for better outputs.
    you: not recommended
    AI recommended (in order):
    1. Snorkel Flow
    2. Ludwig
    3. Argilla
    4. Cleanlab
    5. Prodigy
    6. Label Studio

    AI recommended 6 alternatives but never named HazyResearch/ama_prompting. 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 HazyResearch/ama_prompting?
    pass
    AI did not name HazyResearch/ama_prompting — 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 HazyResearch/ama_prompting in production, what risks or prerequisites should they evaluate first?
    pass
    AI named HazyResearch/ama_prompting 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 HazyResearch/ama_prompting solve, and who is the primary audience?
    pass
    AI named HazyResearch/ama_prompting explicitly

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

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HazyResearch/ama_prompting — 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