Updated 1 October 2026 · Pludor team · 2 sources
For an online store, GEO means making every product easy for AI shopping assistants to read and trust: specific titles, complete descriptions, current prices and stock, good images, identifiers like GTIN and brand, real reviews, and the same data in structured form and product feeds. AI assistants recommend products they can describe confidently.
For an online store, GEO means making every product easy for AI shopping assistants to read and trust: specific titles, complete descriptions, current prices and stock, good images, identifiers like GTIN and brand, real reviews, and the same data in structured form and product feeds. AI assistants recommend products they can describe confidently.
Make every product easy for AI to read and trust: specific titles, complete descriptions, current prices and stock, good images, identifiers like GTIN and brand, and real reviews. Then expose the same data in structured form and product feeds so assistants can ingest it directly. Pludor builds all of this automatically - AI-ready product pages plus feeds in the OpenAI Agentic Commerce Protocol shape that AI shopping systems read.
Some shopping systems ingest feeds directly - Google via Merchant Center, and OpenAI through its merchant program. Others read product pages and their structured data. Doing both covers you either way; Pludor generates a Google Shopping XML feed accepted by Google Merchant Center, Meta and TikTok, plus an AI shopping feed in the OpenAI product shape.
GEO (Generative Engine Optimization) means optimizing your products so AI assistants recommend them, not just so search engines rank them. Instead of keywords and backlinks, the focus is complete, trustworthy, machine-readable product data: titles, prices, stock, identifiers, reviews, and structured feeds. The goal is for an AI assistant to be able to describe your product confidently to a shopper.
Vague titles and missing prices or stock information. AI assistants skip products they cannot describe confidently, so a product called "Blue T-Shirt - Buy Now" with no price is invisible to them. Fix this by writing specific, complete titles and descriptions and keeping price and availability current everywhere.
They need specific titles, complete descriptions, current prices and stock status, good images, identifiers like GTIN, brand, MPN and SKU, and real customer reviews. The same data should also appear in structured form (schema markup) and product feeds. Pludor has dedicated fields for brand, GTIN, MPN, SKU and cost - exactly the identifiers Google Shopping, Meta and AI assistants look for.
Yes - publish machine-readable endpoints alongside your normal site. Pludor exposes a public, read-only Knowledge API with products, comparisons, answers and pricing, plus an MCP server with product search and product detail tools that AI agents can call directly. There's also an AI commerce manifest at a standard well-known URL so agents can discover it all.
You can start free - Pludor's store, product pages, checkout and product feeds are on in the free plan with no card needed, and you only pay for what you use past the monthly free amounts. Paid plans are optional bundles of credits with bigger free amounts. Orders carry a platform fee of 4.99% plus $0.90, deducted before payout.
An MCP (Model Context Protocol) server is a standard way for AI agents to query your catalog with tools like product search and product detail. It's not required, but it makes your products directly accessible to AI assistants instead of hoping they parse your web pages. Pludor runs a read-only MCP server for its catalog, with the URL listed in its AI commerce manifest.
They help a lot - GTIN, brand, MPN and SKU are exactly the fields Google Shopping, Meta and AI shopping assistants look for when deciding what to trust. Without them, an assistant has less confidence your product is real and correctly described. If you sell on Pludor, these identifier fields are built into the product setup.
Not on Pludor - external agents are read-only today, so checkout and order placement on a user's behalf are not exposed yet. Agents can search and read products through the feeds, Knowledge API and MCP server, then send the shopper to complete the purchase. That's still valuable: the AI recommends your product, and the customer checks out on your branded storefront.
Some shopping systems ingest feeds directly - for example Google via Merchant Center, and OpenAI through its merchant program. Others read product pages and their structured data.
Vague titles and missing prices or stock - AI assistants skip products they cannot describe confidently.
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Pludor gives independent businesses and creators the tools the giants have - store, POS, AI receptionist, AI Studio, live selling and a marketplace.
All public and read-only. AI clients and developers can use them today.
| What | Where | Format |
|---|---|---|
| AI shopping feed | pludor.com/ai/products.jsonl | JSON Lines in the OpenAI Agentic Commerce Protocol product shape, built live from the catalog |
| Per-store product feed | pludor.com/feeds/products.xml?tenant={store} | Google Shopping XML, accepted by Google Merchant Center, Meta and TikTok catalogs |
| Knowledge API | pludor.com/api/knowledge | JSON: products, alternatives, compare, product answers, stores, capabilities, pains, pricing |
| AI commerce manifest | pludor.com/.well-known/pludor-commerce.json | JSON describing the feed, APIs and MCP server - Pludor's own convention |
| MCP server | URL listed in the manifest | Model Context Protocol server with product search and product detail tools (read-only, no auth) |
| llms.txt | pludor.com/llms.txt | Plain-text summary of Pludor for language models |
External agents are read-only today - checkout and order placement on a user's behalf are not exposed yet.
Free to start - no card, no item limit. Pay only for what you use past the monthly free amounts.
Get AI-ready product pagesChecked 1 October 2026. Fees and rules change; follow the links for the latest.