RRepoGEO

REPOGEO REPORT · LITE

santifer/cv-santiago

Default branch main · commit a1a4a7d7 · scanned 6/8/2026, 9:48:07 PM

GitHub: 642 stars · 240 forks

AI VISIBILITY SCORE
22 /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
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 santifer/cv-santiago, 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 opening to clarify project's active status and purpose as an advanced AI demo

    Why:

    CURRENT
    # santifer.io

**[:gb: English](#the-problem)** | **[:es: Español](#es-versión-en-español)**

> Interactive portfolio with AI chatbot (text + voice), agentic RAG, 71 automated evals, LLMOps dashboard, and 6-layer prompt injection defense
    COPY-PASTE FIX
    # santifer.io: An Interactive AI Portfolio & LLM Engineering Demo

This repository contains the actively maintained source code for santifer.io, a live interactive portfolio that demonstrates advanced LLM engineering skills through a dual-mode AI chatbot, agentic RAG, comprehensive LLMOps observability, and robust prompt injection defenses.

**[:gb: English](#the-problem)** | **[:es: Español](#es-versión-en-español)**
  • highlicense#2
    Add a LICENSE file

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with the content of the MIT License.
  • mediumtopics#3
    Expand topics to emphasize AI portfolio and LLM demo aspects

    Why:

    CURRENT
    ai, chatbot, claude, langfuse, llm, llmops, observability, portfolio, react, tailwindcss, typescript, vercel, vite
    COPY-PASTE FIX
    ai, chatbot, claude, langfuse, llm, llmops, observability, portfolio, react, tailwindcss, typescript, vercel, vite, ai-portfolio, llm-application, interactive-cv, agentic-ai, fullstack-ai

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 santifer/cv-santiago
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
WordPress
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. WordPress · recommended 1×
  2. WPBot · recommended 1×
  3. Chatfuel for WordPress · recommended 1×
  4. Collect.chat · recommended 1×
  5. Elementor · recommended 1×
  • CATEGORY QUERY
    How to build an interactive portfolio with an AI chatbot to showcase my skills?
    you: not recommended
    AI recommended (in order):
    1. WordPress
    2. WPBot
    3. Chatfuel for WordPress
    4. Collect.chat
    5. Elementor
    6. Beaver Builder
    7. Dialogflow
    8. OpenAI
    9. Webflow
    10. Intercom
    11. Tawk.to
    12. Crisp
    13. Google Dialogflow
    14. OpenAI's API
    15. Carrd
    16. React
    17. Vue
    18. Angular
    19. React-Chat-Widget
    20. Botpress
    21. Microsoft Bot Framework
    22. OpenAI's GPT models
    23. Google Sites

    AI recommended 23 alternatives but never named santifer/cv-santiago. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good tools for LLM observability, RAG, and prompt engineering in a web app?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI API
    4. Weights & Biases Prompts
    5. Helicone
    6. Vellum
    7. Humanloop

    AI recommended 7 alternatives but never named santifer/cv-santiago. 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 santifer/cv-santiago?
    pass
    AI did not name santifer/cv-santiago — 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 santifer/cv-santiago in production, what risks or prerequisites should they evaluate first?
    pass
    AI named santifer/cv-santiago 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 santifer/cv-santiago solve, and who is the primary audience?
    pass
    AI did not name santifer/cv-santiago — 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?

Embed your GEO score

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

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MARKDOWN (README)
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  • Brand-free category queries5 vs 2 in Lite
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