RRepoGEO

REPOGEO REPORT · LITE

noamgat/lm-format-enforcer

Default branch main · commit 817f944f · scanned 6/29/2026, 5:21:52 PM

GitHub: 2,025 stars · 91 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
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 noamgat/lm-format-enforcer, 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
  • hightopics#1
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    llm, language-model, json-schema, regex, format-enforcement, pydantic, structured-output, token-filtering, transformers
  • highreadme#2
    Strengthen README's opening to clarify unique value proposition against competitors

    Why:

    CURRENT
    **Enforce the output format (JSON Schema, Regex etc) of a language model**
    COPY-PASTE FIX
    **Enforce the output format (JSON Schema, Regex etc) of a language model by filtering tokens at generation time, ensuring 100% compliance without prompt engineering hacks.**
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    [Your project's official documentation or landing page URL here]

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 noamgat/lm-format-enforcer
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
outlines-dev/outlines
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. outlines-dev/outlines · recommended 1×
  2. eth-sri/lmql · recommended 1×
  3. microsoft/guidance · recommended 1×
  4. stanford-oval/jsonformer · recommended 1×
  5. BerriAI/litellm · recommended 1×
  • CATEGORY QUERY
    How can I guarantee a language model's output strictly follows a JSON schema?
    you: not recommended
    AI recommended (in order):
    1. Outlines (outlines-dev/outlines)
    2. LMQL (eth-sri/lmql)
    3. Guidance (microsoft/guidance)
    4. JSONFormer (stanford-oval/jsonformer)
    5. LiteLLM (BerriAI/litellm)
    6. Instructor (jxnl/instructor)

    AI recommended 6 alternatives but never named noamgat/lm-format-enforcer. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a library to enforce regex or schema validation on large language model responses.
    you: not recommended
    AI recommended (in order):
    1. Pydantic
    2. JSON Schema
    3. jsonschema
    4. Guardrails AI
    5. LMQL
    6. re module

    AI recommended 6 alternatives but never named noamgat/lm-format-enforcer. 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 noamgat/lm-format-enforcer?
    pass
    AI named noamgat/lm-format-enforcer explicitly

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

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

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

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noamgat/lm-format-enforcer — 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