GEO Implementation Kit

The free checker tells you whether AI assistants can read your store. This kit tells you how to fix it — ready-to-paste code and templates for Shopify, Next.js, WordPress, and generic HTML. $29, one-time.

Get the kit — $29 →

MIT licensed. Browse all 14 files on GitHub before buying. 14-day refund by email if it doesn't save you time.

What's in the kit

1. Search-safe robots.txt templates (4 platforms)

Ready-to-paste blocks that block the 8 training crawlers and allow the 7 search/answer crawlers. Not generic advice — actual robots.txt text you paste into your file.

The distinction that matters: blocking GPTBot opts you out of training and costs nothing in search. Blocking OAI-SearchBot removes you from ChatGPT search. Most "block AI" guides conflate these. These templates don't.

Files: shopify.txt · nextjs.txt · wordpress.txt · generic.txt

2. JSON-LD Product schema templates (4 platforms)

Copy-paste Product and ProductGroup JSON-LD with all required fields (name, description, offers with price/priceCurrency/availability, sku, brand). Platform-specific placement:

Shopify: Liquid template (product.liquid) — server-rendered
Next.js: getServerSideProps component — SSR, not useEffect
WordPress: WooCommerce PHP hook — server-side
Generic HTML: <script type="application/ld+json"> placement

Files: product-jsonld-shopify.liquid · product-jsonld-nextjs.tsx · product-jsonld-wordpress.php · product-jsonld-generic.html

3. The raw-HTML fix guides (3 platforms)

From the 70-brand survey: the #1 critical defect is structured data injected by JavaScript — invisible to AI crawlers that don't run JS. These guides give platform-specific fixes with view-source verification:

How to move JSON-LD from JS-injected to server-rendered
The wrong pattern to avoid (recreates the defect)
How to verify the fix is in raw HTML, not just in dev tools

Files: raw-html-fix-shopify.md · raw-html-fix-nextjs.md · raw-html-fix-wordpress.md

4. Concrete-measurement copy templates

The study found the median product page carries 2 concrete measurements. Assistants repeat attributable facts ("holds 120 lb") not adjectives ("premium quality"). This guide gives:

The 5 highest-value measurement types (dimensions, weight, materials, capacity, compatibility)
A copy template that produces measurable, attributable product facts
The swap test: list any sentence true with a competitor's name swapped in

File: measurement-copy.md

5. Implementation checklist

Step-by-step from diagnosis to fix to verification:

Run python3 aivis.py yourstore.com → get the diagnosis
Find your issue in the checklist
Paste the fix from the kit
Re-run the checker → confirm it passes

File: implementation-checklist.md

How the kit relates to the free checker

🔍

Free checker (aivis.py) — diagnoses whether AI can read your store. Tells you what's wrong: JS-injected schema, wrong robots.txt blocks, missing measurements. That's free, forever.

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Paid kit (this) — fixes what the checker finds. Ready-to-paste templates and platform-specific guides. The checker tells you what to fix; the kit gives you the paste-ready code to fix it. $29, one-time, MIT, 14-day refund.

Why $29 and not free

The checker is free because diagnosing a problem proves the kit understands the issue. The fixes are $29 because they save 2–4 hours of implementation work per platform. You're paying for the paste-ready code and the platform-specific knowledge, not for the diagnosis.