REPOGEO REPORT · LITE
Shopify/roast
Default branch main · commit dcd44ba3 · scanned 6/25/2026, 1:32:09 PM
GitHub: 1,198 stars · 69 forks
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.
3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
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 Shopify/roast, 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
2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- highreadme#1Reposition the README's first sentence to explicitly state its AI workflow orchestration purpose
Why:
CURRENTA Ruby-based domain-specific language for creating structured AI workflows.
COPY-PASTE FIXA Ruby-based domain-specific language (DSL) for orchestrating complex AI workflows, especially those involving Large Language Models (LLMs) and local code execution.
- mediumhomepage#2Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIXhttps://github.com/Shopify/roast
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.
- LangChain.rb · recommended 1×
- Ruby-LLM · recommended 1×
- ActiveJob · recommended 1×
- Sidekiq · recommended 1×
- Dry-rb suite · recommended 1×
- CATEGORY QUERYWhat Ruby libraries help orchestrate complex AI workflows involving LLMs and local code execution?you: not recommendedAI recommended (in order):
- LangChain.rb
- Ruby-LLM
- ActiveJob
- Sidekiq
- Dry-rb suite
AI recommended 5 alternatives but never named Shopify/roast. This is the gap to close.
Show full AI answer
- CATEGORY QUERYHow can I build structured AI automation with conditional logic and reusable components?you: not recommendedAI recommended (in order):
- LangChain
- Microsoft Semantic Kernel
- OpenAI Assistants API
- Prefect
- Apache Airflow
AI recommended 5 alternatives but never named Shopify/roast. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
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 Shopify/roast?passAI named Shopify/roast explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts Shopify/roast in production, what risks or prerequisites should they evaluate first?passAI named Shopify/roast 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 Shopify/roast solve, and who is the primary audience?passAI named Shopify/roast 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 Shopify/roast. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
[](https://repogeo.com/en/r/Shopify/roast)<a href="https://repogeo.com/en/r/Shopify/roast"><img src="https://repogeo.com/badge/Shopify/roast.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
Shopify/roast — 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