RRepoGEO

REPOGEO REPORT · LITE

thmsmlr/instructor_ex

Default branch main · commit c6dcad9e · scanned 6/7/2026, 9:47:41 PM

GitHub: 783 stars · 99 forks

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 thmsmlr/instructor_ex, 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
    Clarify Elixir identity and differentiate from Python Instructor in README

    Why:

    CURRENT
    _Structured, Ecto outputs with OpenAI (and OSS LLMs)

[](https://hex.pm/packages/instructor)
[](https://hexdocs.pm/instructor/)
[](https://hex.pm/packages/instructor)
[](https://github.com/thmsmlr/instructor_ex/stargazers)
[](https://twitter.com/thmsmlr)
[](https://discord.gg/bD9YE9JArw)

Check out our Quickstart Guide to get up and running with Instructor in minutes.

Instructor provides structured prompting for LLMs. It is a spiritual port of the great Instructor Python Library by @jxnlco.
    COPY-PASTE FIX
    _Structured, Ecto outputs with OpenAI (and OSS LLMs)

This is the Elixir port of the popular Instructor Python Library, designed specifically for Elixir applications.

[](https://hex.pm/packages/instructor)
[](https://hexdocs.pm/instructor/)
[](https://hex.pm/packages/instructor)
[](https://github.com/thmsmlr/instructor_ex/stargazers)
[](https://twitter.com/thmsmlr)
[](https://discord.gg/bD9YE9JArw)

Check out our Quickstart Guide to get up and running with Instructor in minutes.

Instructor provides structured prompting for LLMs. It is a spiritual port of the great Instructor Python Library by @jxnlco.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    elixir, llm, ecto, structured-output, ai, openai, anthropic, groq, ollama, gemini, vllm, llama-cpp
  • highlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT License) in the repository root.

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 thmsmlr/instructor_ex
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
elixir-ecto/ecto
Recommended in 4 of 2 queries
COMPETITOR LEADERBOARD
  1. elixir-ecto/ecto · recommended 4×
  2. elixir-nx/nx · recommended 1×
  3. elixir-nx/axon · recommended 1×
  4. OpenAI API · recommended 1×
  5. ash-project/finch · recommended 1×
  • CATEGORY QUERY
    How can I get structured data from large language models in an Elixir application?
    you: not recommended
    AI recommended (in order):
    1. Nx (elixir-nx/nx)
    2. Axon (elixir-nx/axon)
    3. OpenAI API
    4. finch (ash-project/finch)
    5. httpc
    6. Anthropic Claude API
    7. Google Gemini API
    8. Jason (elixir-json/jason)
    9. Pydantic (pydantic/pydantic)
    10. Pyx (elixir-tools/pyx)
    11. Bumblebee (elixir-nx/bumblebee)
    12. JSON Schema
    13. json_schema (c-rack/json_schema)
    14. ex_json_schema (pma/ex_json_schema)

    AI recommended 14 alternatives but never named thmsmlr/instructor_ex. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What Elixir packages simplify defining and validating LLM response structures with Ecto?
    you: not recommended
    AI recommended (in order):
    1. Ecto.Schema (elixir-ecto/ecto)
    2. Jason.Schema (c-rack/jason_schema)
    3. Ecto.Changeset (elixir-ecto/ecto)
    4. Ecto.Type (elixir-ecto/ecto)
    5. Jason (michalmuskala/jason)
    6. Ecto.EmbeddedSchema (elixir-ecto/ecto)
    7. Absinthe.Schema (absinthe-graphql/absinthe)
    8. Plug.Parsers.JSON (elixir-plug/plug)

    AI recommended 8 alternatives but never named thmsmlr/instructor_ex. 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 thmsmlr/instructor_ex?
    pass
    AI named thmsmlr/instructor_ex explicitly

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

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

    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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thmsmlr/instructor_ex — 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