REPOGEO REPORT · LITE

ultraworkers/claw-code-parity

Default branch main · commit ebef748d · scanned 5/24/2026, 4:43:14 AM

GitHub: 6,698 stars · 5,363 forks

AI VISIBILITY SCORE

30 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

1 pass · 0 warn · 1 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 ultraworkers/claw-code-parity, 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 the README's opening to clarify its AI agent purpose
Why:
CURRENT
```
# Rewriting Project Claw Code
```
COPY-PASTE FIX
```
# ultraworkers/claw-code-parity: Rust Port for Autonomous AI Code Generation
```
hightopics#2
Add relevant topics to improve categorization
Why:
CURRENT
```
(none)
```
COPY-PASTE FIX
```
rust, ai-agents, code-generation, autonomous-development, code-parity, language-migration
```

highlicense#3

Add a LICENSE file to the repository

Why:

CURRENT

(no LICENSE file detected — the repo has no recognizable license)

COPY-PASTE FIX

Create a LICENSE file (e.g., MIT, Apache-2.0, or a custom license if applicable) 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 ultraworkers/claw-code-parity

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

rustwasm/wasm-bindgen

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

rustwasm/wasm-bindgen · recommended 2×
dtolnay/cxx · recommended 1×
PyO3/pyo3 · recommended 1×
neon-bindings/neon · recommended 1×
jni-rs/jni-rs · recommended 1×

CATEGORY QUERY
Looking for solutions to rewrite existing projects into Rust for better performance and safety.
you: not recommended
AI recommended (in order):
1. cxx (dtolnay/cxx)
2. PyO3 (PyO3/pyo3)
3. neon (neon-bindings/neon)
4. jni crate (jni-rs/jni-rs)
5. P/Invoke
6. Axum (tokio-rs/axum)
7. Actix Web (actix/actix-web)
8. Rocket (rwf2/Rocket)
9. Clap (clap-rs/clap)
10. Tauri (tauri-apps/tauri)
11. egui (emilk/egui)
12. iced (iced-rs/iced)
13. Slint (slint-ui/slint)
14. Bevy (bevyengine/bevy)
15. Fyrox (FyroxEngine/Fyrox)
16. Tokio (tokio-rs/tokio)
17. wasm-bindgen (rustwasm/wasm-bindgen)
18. web-sys (rustwasm/wasm-bindgen)
19. gloo (rustwasm/gloo)
20. Yew (yewstack/yew)
AI recommended 20 alternatives but never named ultraworkers/claw-code-parity. This is the gap to close.
Show full AI answer
CATEGORY QUERY
How to maintain code parity between original and rewritten versions during a language migration?
you: not recommended
AI recommended (in order):
1. Cypress (cypress-io/cypress)
2. Playwright (microsoft/playwright)
3. Selenium WebDriver (SeleniumHQ/selenium)
4. Postman
5. Newman (postmanlabs/newman)
6. Karate DSL (karate-labs/karate)
7. Pact
8. Spring Cloud Contract (spring-cloud/spring-cloud-contract)
9. Jest (facebook/jest)
10. jest-specific-snapshot (jest-community/jest-specific-snapshot)
11. ApprovalTests
12. JMeter
13. Gatling (gatling/gatling)
14. Pandas (pandas-dev/pandas)
15. Redgate SQL Compare
16. Schema Compare for SQL Server
17. LaunchDarkly
18. Optimizely
19. Unleash (Unleash/unleash)
20. Prometheus (prometheus/prometheus)
21. Grafana (grafana/grafana)
22. Datadog
23. New Relic
AI recommended 23 alternatives but never named ultraworkers/claw-code-parity. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
fail
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 ultraworkers/claw-code-parity?
pass
AI named ultraworkers/claw-code-parity explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts ultraworkers/claw-code-parity in production, what risks or prerequisites should they evaluate first?
pass
AI named ultraworkers/claw-code-parity 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 ultraworkers/claw-code-parity solve, and who is the primary audience?
pass
AI named ultraworkers/claw-code-parity explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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ultraworkers/claw-code-parity — 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