RRepoGEO

REPOGEO REPORT · LITE

instill-ai/instill-core

Default branch main · commit b9976c41 · scanned 6/30/2026, 12:22:04 PM

GitHub: 2,317 stars · 125 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
33 /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
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 instill-ai/instill-core, 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 README's opening sentence to highlight low-code AI orchestration

    Why:

    CURRENT
    A complete unstructured data solution: ETL processing, AI-readiness, open-source LLM hosting, and RAG capabilities in one powerful platform.
    COPY-PASTE FIX
    Instill Core is an open-source, low-code visual builder for end-to-end AI orchestration, offering a complete solution for unstructured data ETL, AI-readiness, open-source LLM hosting, and RAG capabilities.
  • mediumtopics#2
    Add MLOps and workflow orchestration topics

    Why:

    CURRENT
    ai, api, cli, developer-tools, etl, generative-ai, golang, gpt, hacktoberfest, llm, low-code, no-code, open-source, pipeline, python, stable-diffusion, typescript, unstructured-data
    COPY-PASTE FIX
    ai, api, cli, developer-tools, etl, generative-ai, golang, gpt, hacktoberfest, llm, low-code, no-code, mlops, open-source, pipeline, python, stable-diffusion, typescript, unstructured-data, visual-builder, workflow-orchestration
  • mediumlicense#3
    Clarify existing license(s) in README

    Why:

    COPY-PASTE FIX
    This project is licensed under [Specify License Name(s) and/or link to LICENSE file if custom]. See the [LICENSE](LICENSE) file for details.

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 instill-ai/instill-core
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
kubeflow/kubeflow
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. kubeflow/kubeflow · recommended 1×
  2. mlflow/mlflow · recommended 1×
  3. apache/airflow · recommended 1×
  4. Netflix/metaflow · recommended 1×
  5. dagster-io/dagster · recommended 1×
  • CATEGORY QUERY
    How to orchestrate data and models for building robust AI-first applications?
    you: not recommended
    AI recommended (in order):
    1. Kubeflow (kubeflow/kubeflow)
    2. MLflow (mlflow/mlflow)
    3. Apache Airflow (apache/airflow)
    4. Metaflow (Netflix/metaflow)
    5. Dagster (dagster-io/dagster)
    6. Argo Workflows (argoproj/argo-workflows)

    AI recommended 6 alternatives but never named instill-ai/instill-core. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good tools for unstructured data ETL and hosting open-source LLMs with RAG?
    you: not recommended
    AI recommended (in order):
    1. Unstructured.io (unstructured-io/unstructured)
    2. Apache Tika (apache/tika)
    3. Pandas (pandas-dev/pandas)
    4. pdfplumber (jsvine/pdfplumber)
    5. openpyxl (openpyxl/openpyxl)
    6. BeautifulSoup (crummy/BeautifulSoup)
    7. NLTK (nltk/nltk)
    8. spaCy (explosion/spaCy)
    9. Ollama (ollama/ollama)
    10. vLLM (vllm-project/vllm)
    11. Hugging Face Transformers (huggingface/transformers)
    12. bitsandbytes (TimDettmers/bitsandbytes)
    13. accelerate (huggingface/accelerate)
    14. LangChain (langchain-ai/langchain)
    15. LlamaIndex (run-llama/llama_index)
    16. Ray Serve (ray-project/ray)

    AI recommended 16 alternatives but never named instill-ai/instill-core. 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 instill-ai/instill-core?
    pass
    AI did not name instill-ai/instill-core — 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 instill-ai/instill-core in production, what risks or prerequisites should they evaluate first?
    pass
    AI named instill-ai/instill-core 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 instill-ai/instill-core solve, and who is the primary audience?
    pass
    AI named instill-ai/instill-core explicitly

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

Embed your GEO score

Drop this badge into the README of instill-ai/instill-core. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/instill-ai/instill-core.svg)](https://repogeo.com/en/r/instill-ai/instill-core)
HTML
<a href="https://repogeo.com/en/r/instill-ai/instill-core"><img src="https://repogeo.com/badge/instill-ai/instill-core.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

instill-ai/instill-core — 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