REPOGEO REPORT · LITE

google/adk-java

Default branch main · commit 3573b0eb · scanned 6/25/2026, 7:07:09 AM

GitHub: 1,616 stars · 366 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

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 google/adk-java, 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
Update README H1 to explicitly include "AI"
Why:
CURRENT
```
# Agent Development Kit (ADK) for Java
```
COPY-PASTE FIX
```
# AI Agent Development Kit (ADK) for Java
```

highreadme#2

Move core descriptive sentence to the top of the README

Why:

CURRENT

The current structure places the descriptive H3 inside an HTML block after the H1 and links.

COPY-PASTE FIX

Move the sentence "An open-source, code-first Java toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control." to be the first paragraph immediately following the (updated) H1.

mediumreadme#3

Add a section clarifying ADK's unique focus

Why:

COPY-PASTE FIX

Add a new section to the README, e.g., "## What makes ADK for Java unique?" or "## ADK for Java vs. other frameworks" that explains its specific niche in AI agent development, orchestration, and tool integration, distinguishing it from general ML or enterprise integration tools.

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 google/adk-java

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

deeplearning4j/deeplearning4j

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

deeplearning4j/deeplearning4j · recommended 2×
neuroph/neuroph · recommended 1×
waikato/weka · recommended 1×
apache/opennlp · recommended 1×
jgap/jgap · recommended 1×

CATEGORY QUERY
How to build sophisticated AI agents in Java with fine-grained control?
you: not recommended
AI recommended (in order):
1. Deeplearning4j (deeplearning4j/deeplearning4j)
2. Neuroph (neuroph/neuroph)
3. Weka (waikato/weka)
4. Apache OpenNLP (apache/opennlp)
5. JGAP (jgap/jgap)
6. RL4J (deeplearning4j/deeplearning4j)
7. Drools (kiegroup/drools)
AI recommended 7 alternatives but never named google/adk-java. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What Java frameworks exist for orchestrating multi-agent systems and tool integration?
you: not recommended
AI recommended (in order):
1. Spring Boot
2. Spring Integration
AI recommended 2 alternatives but never named google/adk-java. 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 google/adk-java?
pass
AI did not name google/adk-java — 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 google/adk-java in production, what risks or prerequisites should they evaluate first?
pass
AI named google/adk-java 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 google/adk-java solve, and who is the primary audience?
pass
AI named google/adk-java explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/google/adk-java.svg)](https://repogeo.com/en/r/google/adk-java)

HTML

<a href="https://repogeo.com/en/r/google/adk-java"><img src="https://repogeo.com/badge/google/adk-java.svg" alt="RepoGEO" /></a>

Pro

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google/adk-java — 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