REPOGEO REPORT · LITE

StanfordBDHG/HealthGPT

Default branch main · commit 6e8b3dba · scanned 6/25/2026, 3:12:04 PM

GitHub: 1,950 stars · 184 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)

3 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 StanfordBDHG/HealthGPT, 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

highabout#1

Update the repository description to emphasize its role as an extensible solution

Why:

CURRENT

Query your Apple Health data with natural language 💬 🩺

COPY-PASTE FIX

An extensible iOS app template/framework built on Stanford Spezi for integrating LLMs with Apple Health data using natural language. 💬 🩺

hightopics#2

Add `spezi` and `llm-framework` to the repository topics

Why:

CURRENT

apple-health, healthkit, ios, openai, swift

COPY-PASTE FIX

apple-health, healthkit, ios, openai, swift, spezi, llm-framework, digital-health-framework

mediumreadme#3

Refine the README's opening paragraph to highlight its 'extensible solution' aspect more prominently

Why:

CURRENT

HealthGPT is an experimental iOS app based on Stanford Spezi that allows users to interact with their health data stored in the Apple Health app using natural language. The application offers an easy-to-extend solution for those looking to make large language model (LLM) powered apps within the Apple Health ecosystem.

COPY-PASTE FIX

HealthGPT is an extensible iOS app template and framework, built on Stanford Spezi, designed to help developers create large language model (LLM) powered applications that interact with Apple Health data using natural language. It serves as an experimental prototype and an easy-to-customize solution for the digital health ecosystem.

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 StanfordBDHG/HealthGPT

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Core ML

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Core ML · recommended 2×
Apple HealthKit · recommended 1×
Create ML · recommended 1×
OpenAI GPT-4o · recommended 1×
Google Cloud Natural Language API · recommended 1×

CATEGORY QUERY
How to build an iOS app that queries user health data with natural language?
you: not recommended
AI recommended (in order):
1. Apple HealthKit
2. Core ML
3. Create ML
4. OpenAI GPT-4o
5. Google Cloud Natural Language API
6. Hugging Face Transformers
7. Rasa
AI recommended 7 alternatives but never named StanfordBDHG/HealthGPT. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are the best Swift frameworks for integrating large language models with health data?
you: not recommended
AI recommended (in order):
1. Core ML
2. SwiftNIO
3. URLSession
4. HealthKit
5. ResearchKit
6. CareKit
7. FHIR
8. CryptoKit
AI recommended 8 alternatives but never named StanfordBDHG/HealthGPT. 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 StanfordBDHG/HealthGPT?
pass
AI named StanfordBDHG/HealthGPT explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts StanfordBDHG/HealthGPT in production, what risks or prerequisites should they evaluate first?
pass
AI named StanfordBDHG/HealthGPT 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 StanfordBDHG/HealthGPT solve, and who is the primary audience?
pass
AI named StanfordBDHG/HealthGPT 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 StanfordBDHG/HealthGPT. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/StanfordBDHG/HealthGPT.svg)](https://repogeo.com/en/r/StanfordBDHG/HealthGPT)

HTML

<a href="https://repogeo.com/en/r/StanfordBDHG/HealthGPT"><img src="https://repogeo.com/badge/StanfordBDHG/HealthGPT.svg" alt="RepoGEO" /></a>

Pro

Subscribe to Pro for deep diagnoses

StanfordBDHG/HealthGPT — 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