autogenCo
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Project and platform

AI for content and search optimisation

Prepare product and property listings, and develop content for Google and other search engines. autogenCo brings these tasks together in a platform with a dashboard and API.

A shared operating model: a token balance to pay for operations, AI usage tracking, and token discounts with a subscription.

Shared platform

autogenCo

Dashboard · API

  1. 01Product listingsProduct, audience, platform
  2. 02Real estateProperty, offer, listing
  3. 03Search optimisationGoogle and other search engines

Tokens and subscription · Integrations · Learning materials

About the project

Building tools for commercial content

We are building autogenCo to help businesses work systematically on descriptions: from source information and audience needs to prepared content and search optimisation.

The project centres on data, meaning and presentation. Its practical areas share the platform’s capabilities, while learning materials explain the methods and quality criteria.

Illustration: six people in an office beside a table with laptops, with the autogenCo logo on the wall.
Working together · illustration

Three areas of work

Choose a task for your business

Product content, real estate and search are distinct areas of autogenCo’s work. Each has its own source information, audience and requirements for the result.

01 · Products

Product listings

Prepare and adapt a title and description for a chosen platform, market and buyer.

Explore this area

Source information. Brand, model, specifications or an existing product listing.

Content work. Uses and benefits, audience, search priorities, language and platform requirements. Take part in the decisions or let automatic mode handle preparation.

Result. A title and description to approve and then use in the listing.

How to distribute information across listing fields ↗

02 · Real estate

Property listings

Property descriptions based on the property’s details, offer conditions and audience needs.

Explore this area

Source information. Property details, an existing listing and presentation requirements.

Content work. Organise the information, select relevant features and prepare a clear description for the chosen audience.

Result. Prepared listing text that you can review, approve and use in your workflow.

How to work with the platform ↘

The workflow

From source information to approved content

  1. Source information
  2. Task, audience and channel
  3. Content preparation
  4. Review and approval

Platform

A dashboard and API for your workflows

Choose how to use autogenCo: through the platform interface or from your own system.

Dashboard

Work through the interface

Provide source information and requirements, select content and review the prepared result.

Sign in to workspace ↗

API

Connect your own system

Use autogenCo’s capabilities in your existing workflow: submit data for processing and receive the result.

API documentation ↗

Integrations with commerce platforms and services

  • Amazon
  • Ozon
  • Wildberries
  • Shopify
  • AliExpress

Available operations depend on the platform and integration scenario.

Tokens and subscription

How operations are paid for

Operations are paid for from your token balance. The platform tracks AI usage, and a subscription gives you discounts on tokens.

Tokens

A balance for paying for operations

Tokens are used when you work with the platform’s capabilities.

Balance
Tokens for carrying out autogenCo operations.
Operations
Payment for processing in your chosen workflow.
AI usage
Tracking resources used to prepare the result.

Subscription

Token discounts

A subscription reduces the cost of tokens used to pay for platform operations.

Learning materials

Understand the methods and decisions

The library already contains 18 materials on product content, semantic analysis and result verification. They explain which questions to ask when reviewing prepared content.

Open the knowledge library ↗

The project and the team’s approach

How we are building autogenCo

We develop the platform around practical business tasks, connecting source information, audience needs and the content of the finished text.

Data and evidence

We distinguish source facts, inferences about benefits, and conditions that determine applicability.

An understandable result

We explain the processing task and the criteria users can apply to assess the prepared content.

Methods explained openly

We publish analyses and examples to make complex work on meaning understandable and verifiable.

Illustration: a group discusses a process diagram on a large screen in an office.
Working together · illustration

Which task would you like to start with?