Markdown for AI Agents

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Your Store. Readable by Every Machine on the Planet.

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 shop next door. Hand the machines a clean, structured Markdown menu of everything you sell. Name. Price. Stock status. Variants. The buy link. Designed for machines, not browsers.

Everything the Machine Needs to Recommend You

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 — reported from your live inventory. AI shopping agents never recommend a product you cannot ship, and shoppers never arrive expecting something that is not available.

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 clean endpoint is not an open data tap. It is access-controlled.

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

Fast Enough for Crawlers. Lean Enough for Any Agent.

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

Real-World Use Cases

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.

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.

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.

The Machines Are Reading Right Now. Be the Store They Can Read.

Every product page your AI shopping agent cannot parse is a recommendation your competitor gets instead. Enable Markdown for AI Agents and hand the machines a clean, structured, complete menu of everything you sell. They will find it. They will read it. They will recommend you. Seriously.

Translated In The Following Languages

Arabic Unitag (ar-AA), Chinese, Traditional (zh-TW), Danish (da-DK), Dutch (nl-NL), English (en-GB), English, USA (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), Persian Farsi (fa-IR), Polish (pl-PL), Portuguese, Brazil (pt-BR), Portuguese, Portugal (pt-PT), Russian (ru-RU), Spanish (es-ES), Swedish (sv-SE), Turkish (tr-TR)

License Information

An active license entitles you to updates, downloads, and support for the duration of the license period. You may continue using this plugin indefinitely without an active license; however, support, updates, and downloads will not be available while your license is inactive.