Make your products easy for AI assistants to read

AI shopping assistants are recommending products to buyers right now. Your product page, to a machine, is like a restaurant menu stuffed inside a centerpiece, wrapped in a tablecloth, pinned under the bread basket. The menu is in there. Good luck finding the price before the agent recommends the store next door. Markdown for AI Agents gives them a structured Markdown list of what you sell, with name, price, stock status, variants and the buy link for each product.

Product data AI assistants can read

Every feature below exists because AI shopping agents have one job, read your product and decide whether to recommend it. Make the read easy. Win the recommendation.

Clean Markdown at Any Product URL
Append one parameter to any product URL and every AI crawler gets a lean, structured document, name, price, stock status, variants, images, buy link, with none of the HTML theme noise that buries your actual product data.
Auto-Injected Discovery Link
A machine-readable signal embeds in every product page's HTML head so AI crawlers find the clean version automatically. No manual submissions. No sitemaps. Toggle it on and it broadcasts silently on every product page.
Full Variants Table
Every product option in a clean, machine-parsable table, variant name, SKU, price, availability. AI assistants can tell a shopper which exact size-color combo is in stock and what it costs. No misquotes. No missed options.
Live Stock Status
In stock, out of stock or on backorder. Stock status, including backorder, comes from your live inventory.
Currency-Formatted Pricing
Prices display with the right symbol, decimals, and currency code in your store's currency. AI reads a proper formatted amount, not a raw number it might misinterpret, misquote, or hallucinate a currency around.
Configurable Product Sections
Choose exactly which sections appear, long description, specifications, variants, images, or strip to the bare minimum for maximum brevity. You control what machines see and how much data they receive.
Guest HTTP Caching
AI crawlers get a pre-built cached response at your chosen duration, not live server processing on every pass. Set the cache window, forget about it. Fast and cheap at any crawler volume.
Access-Level Enforcement
Private products and restricted categories stay private, in Markdown just as in HTML. Guests only see what they are permitted to see. The Markdown endpoint follows the same access rules.
Noindex + Canonical to Real Page
The Markdown endpoint never steals traffic from your real product page in classic search. It is marked noindex with a canonical link pointing back to your human-facing page, purpose-built for AI agents, not for rankings.

Nine Structured Sections. One Clean Document.

AI agents do not browse. They parse. Give them a document with a predictable structure and they read you perfectly. Give them HTML and they guess. Markdown for AI Agents builds every product response as a labeled, ordered document: product name, summary, price, availability, SKU, full category path, product details, specifications, variants table, image URLs, and the canonical purchase link.

Product name and summary first, machine knows immediately what it is reading
Currency-formatted price and live stock status, no ambiguity, no misquote risk
Full ancestor-to-leaf category path, AI matches your product to the right query
Variants table with every option, SKU, price, and availability in one place
Canonical purchase URL at the end, the machine knows exactly where to send the buyer

Cached Responses for Crawlers

AI crawlers do not visit your store the way shoppers do. They read hundreds of product URLs in a session. Without caching, every hit is a live server request. With caching enabled, guest crawler hits return a pre-built response, no processing, no delay, no server sweat. And every Markdown response includes a token count in the HTTP header so agents know exactly how lean the document is before reading a single character.

Configurable cache duration, match your inventory update cadence exactly
Logged-in users always get a fresh, private, non-cached response
Token count header, agents know the document size before parsing begins
Optional JSON-LD block appended for agents that consume schema.org product graphs
HTML descriptions converted cleanly, scripts and noise stripped, formatting preserved

Launch with more today. Get found by AI shopping assistants tomorrow.

Add Markdown for AI Agents and give AI assistants a clean version of every product.

Clean Markdown at Any Product URL
Auto-Injected Discovery Link
Full Variants Table

Use Cases

The Home Goods Store With 400 Products

The Home Goods Retailer

A mid-size home goods store sells 400 products across 12 categories, throw pillows, wall art, kitchen accessories. Their product pages are polished and convert well for human shoppers. But when an AI assistant asks "what are some affordable wall art options under $50?" the store is invisible. The machine cannot extract clean product data from the HTML theme fast enough to cite the store with confidence.

After enabling Markdown for AI Agents, all 400 product pages get a structured Markdown twin, price, availability, category path, purchase link. The AI reads them correctly, cites specific products with accurate prices, and sends qualified, already-decided shoppers directly to the store. The owner changed nothing about their product descriptions. They just became machine-readable overnight.

The Apparel Store With 480 Variants

The Apparel Store

An online clothing shop sells 80 base SKUs across 6 sizes and 4 colors, 480 variant combinations. Their product pages are technically solid, but AI agents reading them miss the variant data hidden inside JavaScript-rendered dropdown menus. The AI recommends the base price and ignores size and color options. Shoppers arrive expecting choices that were never clearly communicated to the machine.

With Markdown for AI Agents enabled, the variants table exposes every combination, name, SKU, price, in-stock or out-of-stock, as plain readable rows in a clean Markdown table. AI assistants can now answer "is the jacket available in XL black and what does it cost?" with a correct price and a direct buy link. No misquotes. No "sorry, that size was out of stock" follow-ups. Converted.

Technical Specs That Finally Match Buyer Requirements

The B2B Supplier

A specialty industrial supplier sells to business buyers who use AI research tools to shortlist vendors before contacting sales. Their products have detailed technical specifications, dimensions, materials, load ratings, certifications. AI agents reading their catalog currently extract approximate descriptions and miss the spec data entirely, leading to mismatched inquiries and wasted sales calls.

After enabling the plugin with the Specifications section turned on, every product's technical attributes appear directly in the Markdown output. AI research tools can now match product specs to buyer requirements and recommend the right product variant. The supplier receives more inbound inquiries from buyers who already know exactly what they need, because the machine matched their specification to the right product correctly.

Languages

Translated into 21 languages.

Arabic Unitag ar-AA
Chinese, Traditional zh-TW
Danish da-DK
Dutch nl-NL
English (United Kingdom) en-GB
English (United States) en-US
Finnish fi-FI
French fr-FR
German de-DE
Greek el-GR
Hebrew he-IL
Italian it-IT
Japanese ja-JP
Norwegian Bokmål nb-NO
Polish pl-PL
Portuguese, Brazil pt-BR
Portuguese, Portugal pt-PT
Russian ru-RU
Spanish es-ES
Swedish sv-SE
Turkish tr-TR

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