RRepoGEO

REPOGEO REPORT · LITE

eseckel/ai-for-grant-writing

Default branch main · commit 0d405fad · scanned 6/20/2026, 3:08:55 PM

GitHub: 4,139 stars · 515 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
27 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 eseckel/ai-for-grant-writing, 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
    Reposition the README's initial description to explicitly state it's a resource guide, not a tool

    Why:

    CURRENT
    A curated list of resources for using AI to develop more competitive grant applications.
    COPY-PASTE FIX
    This repository offers a curated, open-source collection of resources, prompts, and strategies for leveraging large language models (LLMs) to enhance grant writing. It serves as a comprehensive guide and reference, distinct from a deployable AI application or service.
  • mediumtopics#2
    Add topics that clarify the repository's format as a resource list or guide

    Why:

    CURRENT
    generative-ai, grant-proposals, grants, llms, scientific-writing
    COPY-PASTE FIX
    generative-ai, grant-proposals, grants, llms, scientific-writing, resource-list, guide, prompts
  • lowabout#3
    Refine the repository description to highlight the problem it solves for its audience

    Why:

    CURRENT
    A curated list of resources for using LLMs to develop more competitive grant applications.
    COPY-PASTE FIX
    A curated, open-source collection of resources and strategies to help grant writers and researchers leverage LLMs for developing more competitive and successful grant applications.

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 eseckel/ai-for-grant-writing
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ChatGPT
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ChatGPT · recommended 2×
  2. Elicit · recommended 2×
  3. Semantic Scholar · recommended 2×
  4. Google Gemini · recommended 1×
  5. Claude · recommended 1×
  • CATEGORY QUERY
    How can generative AI assist in developing more competitive and successful grant applications?
    you: not recommended
    AI recommended (in order):
    1. ChatGPT
    2. Google Gemini
    3. Claude
    4. QuillBot
    5. GrammarlyGo
    6. Elicit
    7. Semantic Scholar

    AI recommended 7 alternatives but never named eseckel/ai-for-grant-writing. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find resources on using LLMs for scientific writing and grant proposal drafting?
    you: not recommended
    AI recommended (in order):
    1. ChatGPT
    2. Elicit
    3. Scite.ai
    4. Semantic Scholar
    5. Perplexity AI
    6. DeepL Write
    7. Grammarly

    AI recommended 7 alternatives but never named eseckel/ai-for-grant-writing. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 eseckel/ai-for-grant-writing?
    pass
    AI named eseckel/ai-for-grant-writing explicitly

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

  • If a team adopts eseckel/ai-for-grant-writing in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name eseckel/ai-for-grant-writing — 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?

  • In one sentence, what problem does the repo eseckel/ai-for-grant-writing solve, and who is the primary audience?
    pass
    AI did not name eseckel/ai-for-grant-writing — 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?

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eseckel/ai-for-grant-writing — 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