Most AI SVG workflows start in the wrong place. You type a keyword into an image generator, get something that looks decent, trace it, clean up a few hundred nodes, and list it. Three weeks later the design is buried, or a trademark complaint takes the listing down.
The image was never the hard part. The hard part is choosing a product worth making, proving nobody owns the phrase or the concept, and generating art that can actually be cut without hours of vector repair.
That is why I built the Etsy SVG Design Intelligence System (ESVG-DIS). It is a free, research-first AI skill that runs before image generation: strategy and IP verification first, artwork last.
This is how the system works, and why the sequence matters more than the prompt.
The problem with keyword → image prompt
The default AI workflow for Etsy SVG sellers looks like this:
- Pick a broad keyword
- Generate an image
- Trace it
- Fix the nodes
- Write a title and tags
- Hope
Every step inherits the mistakes of the one before it. If the keyword is oversaturated, the best artwork in the world still lands on page nine. If the concept infringes a trademark, the listing gets removed regardless of quality. If the art has gradients, floating shapes, and hairline details, the Cricut file fails or takes an hour to repair.
The system flips that order. Research and IP checks come first. Image generation is the last step, not the first.
What the 13-state pipeline actually does
The full pipeline is documented in the repository. In plain English, it runs in four phases.
Phase 1: Intake and market research
State 1 — Shop intake. The system binds your shop name and primary niche at the start of the session. It also enforces one conversation per shop, so keyword data from one shop does not contaminate another.
States 2–3 — Market research and keyword IP screening. It researches demand, competition, and buyer language, then runs the first hard IP gate on the keyword itself. If the phrase is trademarked or too close to a protected brand, the pipeline stops before any design work begins.
Phase 2: Buyer psychology and opportunity scoring
States 4–6 — Buyer psychology, competition analysis, opportunity scoring. Instead of asking “does this keyword get searches?”, the system maps the buyer motivation behind it: identity, gifting, hobby, or emotion. It then scores the opportunity against demand, buyer intent, and the competition gap.
A concept only advances if the opportunity score clears the threshold — 7.5 or higher in the current workflow. That one rule prevents the most common failure: spending hours on a beautiful design for a niche that cannot support it.
Phase 3: Concept development and prompt engineering
States 7–10 — Concept development, concept IP gate, prompt engineering, prompt IP gate. The system generates 30–50 concept directions, scores them, and selects the strongest. Before a prompt is written, the concept goes through a second IP gate. After the prompt is written, a third gate checks the prompt itself for protected names, characters, or likenesses.
Only then does the system produce engine-specific prompts for tools like ChatGPT Images, Midjourney, Flux, Ideogram, Leonardo, or Gemini.
Phase 4: Artwork, quality review, and Etsy handoff
States 11–13 — Artwork production, final IP gate, quality review, Etsy SEO handoff. The fourth gate checks the final artwork. Then the quality review applies vector production thresholds. Finally, the system hands off a complete listing package: title, 13 tags, 9-block description, pricing guidance, and the AI disclosure block.
Since the October 2026 policy sync, State 13 also runs Gate 0 — AI & image compliance. It returns PASS, ACTION REQUIRED, or BLOCKED; requires a real preview for digital downloads; adds the mandatory AI disclosure when the artwork was AI-generated; and blocks prompt bundles, AI-generated instructions, and bot-generated listings.
That handoff is where ESVG-DIS connects to the Etsy Seller SEO System — the same rulebooks, the same tag limits, the same policy checks.
The four IP gates, plus Gate 0
This is the part most AI design tools skip entirely.
ESVG-DIS treats intellectual property as a gate, not a score:
- Keyword gate — is the search phrase itself protected?
- Concept gate — does the idea rely on a trademarked character, brand, team, or celebrity?
- Prompt gate — does the prompt introduce protected elements?
- Final artwork gate — does the finished design contain a protected silhouette, logo, or likeness?
Every gate returns PASS, MODIFY, or BLOCK. A high commercial score can never override a block. That is deliberate. A concept with an 8.8 opportunity score is still worth zero if it gets the shop suspended.
The gates are also not a substitute for legal advice or a formal trademark search. They are a structured first pass that stops the obvious mistakes before you spend money on production.
Gate 0 — AI & image compliance is separate from the four IP gates. It runs at the listing stage and checks Etsy’s October 2026 AI and image rules: disclosure for AI-created artwork, real file previews for digital downloads, product-type image evidence, and the prohibited categories. A design can pass all four IP gates and still be blocked here — for example, an original SVG sold as a prompt bundle, or a digital download with no preview of the actual files.
Why “one conversation per shop” matters
If you run multiple shops, keyword data leaks. A phrase that works for a rustic farmhouse shop is not automatically relevant to a kids’ birthday shop, and mixing the two corrupts your research.
The system binds each conversation to one shop and one primary niche. When you give it a broad input like “floral,” it translates that into niche-specific opportunity phrases that match the shop you are actually building — not a generic list of high-volume terms.
That sounds like a small workflow rule. In practice it is the difference between research that compounds and research that becomes a pile of unrelated notes.
Why Cricut-ready matters before generation
The cheapest vector cleanup is the one you never have to do.
ESVG-DIS enforces production thresholds in the prompt and in the quality review:
- Minimum detail no smaller than 1/40th of the design width
- No tiny floating shapes that a blade cannot cut
- Closed outlines
- Controlled line weight
- Flat fills instead of gradients and soft shadows
Those rules are baked into the prompts, not applied after the fact. The result is artwork that traces into clean paths instead of a node explosion. If you have ever spent an hour deleting stray anchor points in Illustrator or Inkscape, you understand why this belongs at the prompt stage.
For the tracing and packaging side of the workflow, see my full guide to creating and selling SVG files on Etsy.
What the output looks like
The default output is deliberately dense: a score block, the winning concept, the listing title, tags, and the next action. You can ask for "expand" or "full report" to see the full concept matrix, raw research notes, and prompt rationale.
A condensed result looks roughly like this:
Opportunity score: 8.2/10 · Concept score: 8.8/10 · Quality: 8.5/10
IP gates: PASS · PASS · PASS · PASS
AI & image gate: PASS
Title and 13 tags generated · 9-block description · AI disclosure included · next action listed
The system also keeps a research log across sessions, so you are not re-running the same niche analysis every time you open a chat.
What it does not do
It is not an image generator. It writes the prompts and the production brief; you still generate the artwork in your chosen tool, then trace and finish it.
It does not guarantee sales, ranking, or legal clearance. It is a structured research and risk-screening workflow, not a crystal ball or a law firm.
It also does not replace the Etsy policy work. AI-created SVG art still needs the correct disclosure, and digital downloads still need a real preview of the files. If you are unsure what applies to your listing, read Etsy’s AI and image rules explained.
Free path vs paid path
Free path: open portable/ESVG-DIS-Instructions.md from the repository, paste it into ChatGPT, Claude, Gemini, or Grok, and follow the activation prompt. No API keys, no subscription.
Paid path: install the esvg-dis.skill package in Claude Code or Cowork for persistent state and automatic bootstrap. The repository README has the exact commands.
Either way, the system runs inside the AI tool you already use.
Who it is for
- Etsy SVG sellers who are tired of guessing which niche to design for
- Digital product sellers using AI art who want an IP check before publishing
- Cricut and laser sellers who want cleaner vectors with less cleanup
- POD sellers who need original concepts rather than another trending phrase
- Anyone who has ever listed a design and wondered why it never got impressions
If you only want a prompt pack, this is not it. If you want a repeatable product research process, start with the ESVG-DIS tool page or go straight to the GitHub repository.
Sources
The system is a research and screening tool, not legal advice. Verify trademarks with the relevant registry and consult an IP attorney for high-stakes designs.
