partisepeti.com — AI Readiness Score: 30/100

doclight — ai Readiness Report

partisepeti.com

Pages analyzed (10)

llms.txt included https://partisepeti.com/llms.txt 200
llms-full.txt included https://partisepeti.com/llms-full.txt 200
marketing https://partisepeti.com/ 200
api included https://partisepeti.com/dead-end-kapi-susu 200
api included https://www.partisepeti.com/c/kapi-susleri 200
api included https://www.partisepeti.com/c/pleksi-kapi-susu 200
api included https://www.partisepeti.com/dead-end-kapi-susu 200
api included https://www.partisepeti.com/ask-temali-kapi-susu 200
api included https://www.partisepeti.com/cars-ice-kapi-banner 200
other https://partisepeti.com/giris 200

llms.txt found

AI READINESS SCORE

Partisepeti is a Turkish e-commerce marketplace selling party supplies and decorations (balloons, door decorations, banners, costumes, piñatas, themed party sets) for birthdays, baby showers, Halloween, Valentine's Day, and other special occasions, with 5 physical stores in Istanbul. The crawled pages are consumer-facing product and category pages plus llms.txt files, with prices in Turkish Lira; there is no programmatic API despite the pages being labeled 'api'.

Dimension Breakdown

Discoverability

The site is clearly identifiable as a Turkish party-supplies marketplace and offers llms.txt, llms-full.txt, and a product sitemap for crawling.

Comprehension

What the business sells is clear from product/category pages and the llms.txt summary, though entirely in Turkish and oriented to human shoppers.

Setup clarity

There is no account/API setup flow, authentication, or developer onboarding since this is a retail storefront, not a programmable product.

Documentation

llms.txt provides useful structural guidance and URL patterns, but there is no technical/API documentation for an agent to act programmatically.

Pricing clarity

Individual product prices and shipping thresholds are clearly stated in TL, but there is no machine-readable catalog or structured pricing endpoint.

Integration examples

Despite the 'api' labels, no OpenAPI spec, code samples, or integration methods exist; pages are only HTML product listings.

Agent Journey

✓

Discover

✓

Understand

Setup

No API, authentication, or programmatic setup path exists for an agent to configure anything.

Use

Without an API or structured ordering interface, an agent cannot programmatically transact or integrate beyond scraping HTML.

Confusion Points

high Pages are categorized as 'api' but contain only consumer storefront HTML with no API functionality All product and category pages
high No OpenAPI/Swagger spec or any machine-readable product/order interface despite the site offering llms.txt Entire site
med All content is in Turkish only, limiting agent comprehension without translation All pages
low A 'Pleksi Kapı Süsü' category page shows zero products, implying inconsistent inventory state https://www.partisepeti.com/c/pleksi-kapi-susu

Missing Information

Is there any public API or structured data feed for programmatically browsing or ordering products?
How can an agent add items to a cart and complete checkout programmatically?
What authentication or account creation is required to place an order?
Are product details available in a machine-readable format (JSON/structured data) rather than HTML?
What are the full payment, delivery, and return terms in a structured form?

Improvements

Provide a real API (e.g., product catalog, cart, and order endpoints) with an OpenAPI/Swagger specification for agent integration.
Stop labeling consumer HTML pages as 'api' or clearly separate human-facing pages from any machine-facing endpoints.
Add structured data markup (Schema.org Product/Offer JSON-LD) to product pages so agents can reliably parse name, price, availability, and dimensions.
Offer an English-language or multilingual version of key pages and llms.txt to broaden agent comprehension.
Document cart, checkout, shipping, and return workflows in a machine-readable form, and expose inventory availability consistently.
Include the product sitemap and any data feeds prominently so agents can enumerate the full catalog.