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Agents
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Ghost
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Vermeer
OverviewFeaturesCompare & pricingHow it works
Silver
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Fama
OverviewFeaturesCompare & pricingHow it works
Chart
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For ecommerce

Shoppers ask AI about your products now. Half of what it says, you never wrote.

Jinn gives your store its own record: your catalog, your voice, your positioning, held as data that every product reads before it writes a description, designs an ad, or measures a single thing.

The AI tools shift every month, and getting output good enough to ship is a skill of its own. Jinn keeps current with both, grounded in your brand, so what comes back is yours, not generic.

In short
Who it is for

Ecommerce and DTC brands whose customers now ask AI what to buy, and whose products deserve to be described and shown the way you actually made them.

What you get

One brand record: your catalog, voice, and positioning held as data, read by every Jinn product before it writes a description, designs an ad, or measures what AI says about you.

Why it matters

You control how AI describes your products and how your creative looks, instead of leaving both to whatever the model guessed.

The pain

You already know these three.

01AI is answering for your productsShoppers ask assistants what to buy before they reach your site. The answers are already being written, from stale data and someone else's framing, and you never see them.
02Creative that could be anyone'sGeneric product shots and templated ads. Your product pasted into a scene that was never yours, in a look ten other stores are shipping this same week.
03Keeping up is a second jobA new AI tool lands every month, and getting output that is actually usable is a skill of its own. That is time you do not have between restocks and campaigns.
The suite

One record per store. Every product reads it.

This is the map, not the pitch. Each product page carries its own depth; here is what each one does with your store record.

Brand recordOne per store
Your store
VoiceHow you describe what you sell, and what you never claim.
CatalogEvery product, its specs, and its proof, held as data.
PositioningWhy a shopper picks you, in your words.
One record of 346 signals, versioned.
  • Fama →Measures how 6 AI engines describe your products week over week, and flags where they get your catalog wrong.a weekly pulse, 6 engines
  • Vermeer →Designs product photography and ads from your record, scored against your DNA. The contrast check is pixel math, not an AI opinion.a product shot, on brand
  • Silver →Takes your record into short-form video: research, hooks, scripts, and casting that stay on brand.a hook and a script
  • Ghost →Writes product descriptions and content in your voice, drafted against your banned list and fact-checked before it publishes.a description, on voice
  • Chart →Writes the category and positioning strategy behind the storefront, with sources attached where the research spine runs.an audit, sources attached

Every product reads the same record for your store, so a description, an ad, and a video all sound like the same brand. That is the whole trick.

Seeing the map is one thing; running it on your catalog is another. See it with your store →

One workflow

From your store URL to work you can ship.

One motion, walked all the way through: point Jinn at your store and the work starts from your catalog, not a blank prompt.

  1. 01Point Jinn at your storeOne URL in. Jinn reads your live storefront and catalog and assembles your record: the 346-signal profile of voice, products, and positioning that everything else reads.
  2. 02See what AI says, then fix itFama measures how the engines answer for your products, week over week, so you find the wrong claims before a shopper does. The fix content is generated from your record, not guessed.
  3. 03Ship on brand, with the receiptsDescriptions, ads, and video come back in your voice and your look. Research-backed documents carry a Sources and Methodology appendix, and claims that do not survive verification do not ship: the verifier fails closed.

Research-backed deliverables run this spine today. Work outside the research set uses standard generation and says so, instead of borrowing the label.

Trust

Honest machinery, written into the code.

Content is fact-checked before it publishesGhost drafts against your banned list and runs a fact-check gate before anything goes out. Being on brand includes being right.
The contrast check is pixel mathVermeer scores every image against your DNA, and the legibility check is measured contrast, not an AI opinion. A design that fails the math does not pass.
The claim verifier fails closedOn research-backed work, an unparseable or errored verification defaults to unsupported, score zero. A broken check can never count as a pass. That default is in the code, not the copy.
Try it today

Run one on your store this afternoon.

Free, no signup, full results. Point them at your storefront and see what comes back before you ever talk to us.

AI Visibility SnapshotAsk the AI engines about your brand and see what they actually answer. Measured, not guessed.What it checks: live answers across 6 engines, where you show up, and who gets named instead of you.llms.txt GeneratorWrites you a correct llms.txt starting file from your live site in about ten seconds.What it checks: your homepage title, summary, headings, and the pages your navigation points to.Agent Access CheckerWhether the major AI crawlers can actually reach your site. Three-state honest: allowed, blocked, or unknown.What it checks: robots.txt rules per AI bot, llms.txt presence, and your structured data.

More free tools are in build and join this list as they ship.

See it

See it with your store.

Point Jinn at your storefront and watch it describe, design, and measure your products from your record, not a template.

See it with your storeSee how pricing works →
Questions

What ecommerce brands ask.

Will it get my product details right?
Jinn works from your record, built from your live catalog, so descriptions and claims trace back to your data. Research-backed documents verify every claim against its source before it ships, and unsupported claims are dropped, not softened.
Can it fix what AI already says about my products?
Fama measures how the engines answer for your products week over week and shows you where they are wrong. You see the gap first; closing it is the work Jinn does from your record.
Do I need to be technical to use it?
No. You bring a URL. Jinn keeps up with the AI tools and the models so you do not have to, and the output comes back grounded in your brand, ready to review.
Can I start today?
The free tools run right now with no signup. The full products are opening access in stages; start with a free run on your store and see how pricing works.

Bring us your catalog.

See Jinn describe, design, and measure your products from your record, not a template.

See it with your store
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