RRepoGEO

REPOGEO REPORT · LITE

emmethalm/infiniteGPT

Default branch main · commit 0ee7e9df · scanned 6/9/2026, 11:28:13 PM

GitHub: 736 stars · 139 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
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 emmethalm/infiniteGPT, 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
  • highlicense#1
    Create a LICENSE file with the MIT License

    Why:

    COPY-PASTE FIX
    Create a file named `LICENSE` in the repository root containing the full text of the MIT License.

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 emmethalm/infiniteGPT
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. Hugging Face `transformers` library · recommended 1×
  4. OpenAI Python Library · recommended 1×
  5. tiktoken · recommended 1×
  • CATEGORY QUERY
    How to send very large text inputs to a language model API programmatically?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Hugging Face `transformers` library
    4. OpenAI Python Library
    5. tiktoken
    6. Anthropic Python Client
    7. Google Cloud Vertex AI SDK

    AI recommended 7 alternatives but never named emmethalm/infiniteGPT. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Python script to automatically chunk long documents for processing by AI APIs?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. NLTK
    4. spaCy
    5. Hugging Face Transformers
    6. Custom Implementation

    AI recommended 6 alternatives but never named emmethalm/infiniteGPT. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 emmethalm/infiniteGPT?
    pass
    AI named emmethalm/infiniteGPT explicitly

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

  • If a team adopts emmethalm/infiniteGPT in production, what risks or prerequisites should they evaluate first?
    pass
    AI named emmethalm/infiniteGPT 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 emmethalm/infiniteGPT solve, and who is the primary audience?
    pass
    AI named emmethalm/infiniteGPT explicitly

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

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emmethalm/infiniteGPT — 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