Find relevant topics, before content is produced.
Sources, search terms and project requirements are brought together. Marqentra turns them into suitable topics for further production.
Marqentra combines research, AI-assisted content production, editorial planning, social media publishing and community management in a self-installable platform.
Sources, search terms and project requirements are brought together. Marqentra turns them into suitable topics for further production.
A detailed master post becomes channel-specific social media versions with their own hook, focus, CTA and suitable hashtags.
Editorial calendar, production times and channel-specific jobs remain connected in one workflow.
Comments, contacts and follow-up processes can be combined across channels in one shared workspace.
Schedules, approvals, images and publishing rules continuously work together and remain measurable.
System status, projects, production, publications, analytics and community remain visible in one central place.
View public demo →
From project setup to evaluation, every step remains connected in Marqentra.
Define goal, target audience, value proposition, brand voice and default CTA.
Review sources, trends and topic suggestions and assess them for the project.
Create and approve the master post, channel variants and image strategy.
Bring channels, dates, slots and approvals together in the editorial calendar.
Publish posts, capture reactions and evaluate results by project and channel.
For websites that want to use Marqentra directly in WordPress: projects, autopilot, editorial calendar, publishing and analytics remain available within the familiar WordPress environment.
All editions run on your own system. The main differences are in projects, automation, campaigns and multi-client capabilities.
For freelancers and small businesses.
For growing companies and multiple brands.
For agencies and service providers with clients.
The public demo shows Marqentra with agency-level features in a separate test environment. This lets you practically evaluate the interface, production workflow and key functions before installing it yourself.