MpSEO marketplace copywriter

A marketplace product card without a good description loses buyers. Writing copy for dozens of listings by hand takes ages, and hiring a copywriter for each card costs money. MpSEO takes that work on: a neural network drafts a description from your details in roughly 30 seconds.

It is a Telegram mini app for sellers and marketers. It is built around one task, copy for large marketplaces, instead of acting as a general chat about everything.

A description people can find and read

Shoppers reach a product through marketplace search, so the text needs the words they type. MpSEO produces selling descriptions optimized for search queries, and does it in half a minute.

Read the result with your own eyes. A neural network writes smooth text, yet you are the one who knows the product specs, so check numbers, materials and what is in the box.

Several jobs behind one menu

The /start command opens the toolkit menu. The bot's profile describes what it does.

• Product descriptions. A selling SEO text for the card.
• Keywords. Collecting search terms that fit your product.
• Text editing. Improving a finished description by adding or removing keywords.
• Review replies. Draft answers, including to negative feedback.
• Brand naming. Name ideas for a new brand.

The generation balance

The /profile command shows your generation balance. Each request uses part of it. Top-up terms and costs are inside the app, and you should read them before paying.

Other commands: /about tells you about the bot, /community leads to its community and /support reaches the support team.

How to get a sensible text out of a neural network

The more precisely you describe the product, the better the output. Name the category, material, dimensions, purpose and the main difference from similar items. An empty request yields an equally empty description.

1. Give facts. Composition, size, contents, use case.
2. Name the audience. Who the product is for: kids, athletes, gardeners.
3. Check the keywords. Keep only the terms that truly describe the product.
4. Edit. Remove anything that does not match the real card.

Who saves time with it

Sellers with a wide range get the most out of it. When a catalog holds hundreds of similar items, a first draft from the neural network speeds up the job many times over. What remains is adding details and bringing the text to a single tone.

New sellers use the bot to get past the blank page. Keyword collection helps them too, since it shows how shoppers actually name this kind of product.

Agency marketers can also use it to get several text variants quickly and pick the best one for a client.

A word on reviews

Replies to reviews, especially negative ones, work best when they are calm and specific. An AI draft saves time, but keep concrete detail in it: the order number, an acknowledgment of the problem and a clear next step for the buyer.

Canned answers with no substance annoy customers more than silence does. Edit the draft until it sounds like a real shop speaking.

Where caution makes sense

Marketplace rules on card content change over time. Banned wording, comparisons with competitors and unfounded promises can get a card blocked. Check the current requirements of your marketplace before publishing.

For help with requests and generation balance, use the bot's support contact listed in its profile.