EINTELLIX is finalizing work on the first public version of a platform designed to bring together, in one process:
- SEO articles,
- AI,
- a publishing schedule,
- automatic content publishing to your own website,
- LinkedIn,
- Facebook,
- Instagram,
- multi-brand management,
- status and error monitoring.
The first public version is planned to be released as a free beta.
However, the goal is not to create another simple post-scheduling tool.
The platform developed by EINTELLIX is being created as an extension of an existing system for preparing and automatically publishing SEO articles on companies’ own websites.
Articles were the first component of the system.
Only later were additional layers added:
AI → social media → scheduling → queues → multi-brand management.
The intended process is expected to look roughly like this:
topic → SEO article → review → schedule → website publishing → post generation → approval → LinkedIn, Facebook and Instagram.
The platform is in the final stage of development
The first public version of the system is currently being prepared for release to users.
The most important elements of the process have already been designed around one principle:
content should not have to be created and moved manually between several independent tools if these stages can be connected within one system.
In practice, a company may currently work as follows:
1. prepare an article in a document, 2. use AI in a separate tool, 3. copy the text into a CMS, 4. record the date in a spreadsheet, 5. schedule LinkedIn separately, 6. schedule Facebook separately, 7. schedule Instagram separately.
EINTELLIX aims to simplify this process.
What will the free beta mean?
The beta will be the first public version intended for real-world use and testing.
It should not be understood as the final version of the product.
Its primary purpose will be to determine:
- whether the entire process is convenient,
- which elements users use most often,
- where unnecessary manual work still occurs,
- which integrations matter most,
- what the calendar should look like,
- what level of control users expect,
- how multi-brand work performs in practice.
The first beta is planned to be available free of charge.
Why does EINTELLIX want to begin with a free version?
The platform is also a practical example of the technologies developed by EINTELLIX.
The company works, among other things, on:
- software development,
- web applications,
- mobile applications,
- AI solutions,
- API integrations,
- business process automation.
Making its own tool available makes it possible to demonstrate these capabilities in practice.
Instead of only saying:
“we create automations”
it is possible to provide a working system that uses:
- a database,
- a user dashboard,
- AI,
- scheduling,
- APIs,
- queues,
- statuses,
- automated publishing.
More information about EINTELLIX:
Where did the platform start?
The starting point was not social media.
The SEO article system was developed first.
Each piece of content can have its own fields:
- title,
- URL slug,
- Meta Title,
- Meta Description,
- category,
- SEO keywords,
- Markdown content,
- featured image,
- CTA,
- related articles,
- publication date,
- time,
- status.
This means an article is prepared as a complete record.
It is not simply text stored in a document.
Why is this important?
If an article already contains all the necessary data, the system can use it automatically later.
There is no need to once again:
- enter the title,
- create the slug,
- paste the Meta Description,
- set the date,
- copy the content,
- add the CTA.
The data is prepared in advance.
At the appropriate time, the system performs the next step.
Automatic article publishing
Assume that a user has prepared four pieces of content.
Article A
September 15 — 08:00.
Article B
September 19 — 08:00.
Article C
September 23 — 08:00.
Article D
September 27 — 08:00.
Each one has previously been:
- prepared,
- reviewed,
- approved.
The user does not need to return to the system on the exact publication date.
The schedule is responsible for performing the operation.
An article as a source for social media
The next stage of development is to use an article as source material.
This is one of the most important elements of the overall concept.
A company prepares one substantial piece of content.
AI can then use it to create:
- a LinkedIn post,
- a Facebook post,
- content for Instagram,
- a second LinkedIn post,
- a short tip,
- an article reminder.
One article can therefore continue working long after its publication day.
Example
Article:
“How do you automate the sales process?”
It may include information about:
- forms,
- CRM,
- automated quote generation,
- documents,
- reminders,
- reporting.
AI can extract several separate topics.
How much time does a sales representative lose re-entering data?
5 sales elements that can be automated.
Carousel:
From form to quote — what can an automated process look like?
Second LinkedIn post
Detailed content on automated document generation.
One article becomes the source for several posts.
Is AI meant to publish on its own?
That is not the core model.
EINTELLIX assumes that human control will be retained.
The most practical workflow is:
AI prepares
↓
a person reviews
↓
a person approves
↓
the system publishes
Why?
Because AI can generate text that sounds correct but contains an inaccuracy.
The following should be reviewed in particular:
- prices,
- deadlines,
- technical specifications,
- regulations,
- legal information,
- product features,
- commercial claims.
It is worth automating technical work.
Responsibility for communication should remain with the company.
Statuses before publication
An article can go through several stages.
Example:
Draft
↓
Ready for review
↓
Ready for approval
↓
Approved
↓
Scheduled
↓
Published
In the event of a problem:
Publishing error
This model makes it possible to immediately see what requires action.
A similar workflow for posts
A social media post can have its own lifecycle.
Example:
Generated by AI
↓
Ready for review
↓
Approved
↓
Scheduled
↓
Queued
↓
Published
As a result, generating a post does not automatically mean publishing it publicly.
A shared calendar
One important element of the beta is intended to be the ability to organize content in one schedule.
The calendar can display:
- website,
- LinkedIn,
- Facebook,
- Instagram,
- date,
- time,
- brand,
- status.
Example:
Monday
08:00 — SEO article.
Tuesday
09:00 — LinkedIn.
Wednesday
12:00 — Facebook.
Thursday
18:00 — Instagram.
Friday
09:00 — LinkedIn #2.
The user sees the entire process in one place.
Why does a shared calendar matter?
With several tools, it is easy to lose control.
An article may be scheduled for Monday.
LinkedIn as well.
Facebook in another system.
Instagram in yet another one.
A shared calendar makes it possible to assess:
- whether publications are well distributed,
- whether a brand is publishing too much on a given day,
- what requires approval,
- where a gap has appeared.
Multi-brand management
The platform is also intended to be developed with users who manage more than one project in mind.
This may apply to:
- agencies,
- freelancers,
- groups of companies,
- companies with multiple products,
- owners of multiple websites.
Each brand can have its own:
- articles,
- website,
- LinkedIn,
- Facebook,
- Instagram,
- CTA,
- calendar,
- settings.
At the same time, an administrator can use a single dashboard.
Brand profile
A brand can have its own set of information.
Example:
Name
EINTELLIX.
Website
https://www.eintellix.com
Areas of activity
- software,
- applications,
- AI,
- integrations,
- automation.
CTA
EINTELLIX main website.
Social media
Accounts assigned to the project.
This allows the system to know where content should go.
Why is a brand profile especially important with AI?
If AI prepares a post for several companies, it should receive the right context.
The communication style differs for:
- a law firm,
- a technology company,
- a restaurant,
- an accounting firm,
- an online store.
A brand profile can include information about:
- services,
- target audience,
- style,
- CTA,
- communication constraints.
AI does not then need to receive all data from scratch every time.
Free beta for small businesses
Small businesses are one of the groups that may benefit particularly from such a system.
The reason is simple.
One person is often responsible at the same time for:
- the website,
- the blog,
- LinkedIn,
- Facebook,
- Instagram.
If an article can be prepared once and then used across several channels, the number of manual operations falls significantly.
An example month for a small business
A company prepares:
4 articles.
From each one, it creates:
- 2 LinkedIn posts,
- 1 Facebook post,
- 1 Instagram post.
This results in:
- 4 articles,
- 8 LinkedIn posts,
- 4 Facebook posts,
- 4 Instagram posts.
In total:
20 pieces of content.
There is no need to come up with 20 entirely independent topics.
Four main pieces of content are enough.
Free beta for agencies
Agencies may use the system differently.
Assume:
- 10 clients,
- 10 publications per month for each client.
That is already 100 pieces of content.
With 20 clients:
200 pieces of content.
In this case, the following become especially important:
- filtering,
- brand profiles,
- statuses,
- calendar,
- approvals,
- history.
AI is only one component.
Will the beta have all features from the start?
It should not be assumed that the first public version will be the final product.
The beta is primarily intended to enable testing of the most important workflow.
Features under development may be released in stages.
The scope may depend, among other things, on:
- test results,
- integration stability,
- user needs,
- API capabilities of external platforms.
That is exactly why the beta is being launched.
LinkedIn, Facebook and Instagram integrations
Automatically publishing to social media requires integrations with external platforms.
Each has its own:
- API,
- account types,
- permission scopes,
- authorization rules,
- limitations.
Therefore, not every feature must be available in exactly the same way on every channel.
The platform must operate in line with the current technical capabilities of each service.
What will be tested during the beta?
One of the key goals will be to observe how users actually work.
Example questions include:
- how many articles do they prepare each month?
- do they start with an article or a post?
- how many posts do they want to create from one piece of content?
- how often do they approve content in batches?
- do they need multiple brands?
- which channel is the most important?
- do they prefer weekly or monthly planning?
- which errors occur most often?
Such information may be more valuable than another feature list developed solely internally.
What might the first interaction with the platform look like?
An example user may:
1. create a brand profile, 2. specify a website, 3. prepare an article, 4. complete the SEO data, 5. set a date, 6. approve the content, 7. create posts based on the article, 8. assign channels, 9. set a schedule, 10. monitor the status.
It is one consistent process.
One piece of content instead of repeated copying
A major part of the savings may result from reducing copying.
Without integrations:
article → copy → CMS
article → copy → AI
post → copy → LinkedIn
post → copy → Facebook
post → copy → Instagram
Once the system is connected, much of the data can be transferred automatically.
Automation does not mean publishing more content at any cost
The platform may significantly increase publishing capacity.
However, this does not mean that hundreds of texts should be generated.
The goals should be:
- consistency,
- coherence,
- quality,
- better use of knowledge.
Not:
- spam,
- mass duplication,
- random articles.
Good automation saves time.
It does not replace strategy.
Does automatic publishing improve SEO?
Automation alone does not guarantee rankings in search results.
SEO depends on many elements:
- content quality,
- alignment with search intent,
- competition,
- linking,
- website structure,
- technical aspects,
- domain authority.
Automatic publishing can make it easier to maintain a knowledge base regularly.
It is not a mechanism that automatically improves rankings.
Why does the SEO article remain important in the system?
Social media is a fast communication channel.
An article can work much longer.
It can:
- be indexed,
- answer questions,
- be updated,
- link to services,
- fuel future posts.
This is why the EINTELLIX platform does not treat a blog as an addition to social media.
The article system is the foundation of the entire project.
Social media as a distribution layer
The system can therefore be viewed as follows:
Layer 1
Company knowledge.
Layer 2
SEO article.
Layer 3
Own website.
Layer 4
AI creating variants.
Layer 5
LinkedIn, Facebook, Instagram.
Layer 6
Scheduling and automation.
It is one connected process.
Can older articles also be used?
This is a natural direction for such a platform.
A company may already have hundreds of pieces of content.
An older article can be:
1. reviewed, 2. updated, 3. used as source material, 4. transformed into new posts.
There is no need to keep generating everything from scratch.
Publication history
With automation, another question is also very important:
did the system actually complete the operation?
This is why the following are needed:
- statuses,
- logs,
- history.
The user should be able to see:
- what was published,
- when,
- for which brand,
- on which channel,
- whether an error occurred.
Error handling
A publication may fail.
Example reasons include:
- authorization has expired,
- a website is temporarily unavailable,
- an API returned an error,
- the content has an invalid format,
- an account has lost permissions.
In this situation, the system should mark the content as requiring attention.
It should not pretend that the operation succeeded.
The free beta is also intended to help identify such issues
Testing with real users can reveal scenarios that are difficult to predict during development alone.
For example:
- an unusual account configuration,
- a different agency workflow,
- a specific website structure,
- the need for an additional status,
- a more convenient approval method.
The beta is intended to serve this purpose as well.
Why is EINTELLIX developing its own product instead of only providing services?
An in-house system is a very good test of capabilities.
It requires solving problems related to:
- application architecture,
- databases,
- security,
- UX,
- integrations,
- AI,
- scheduling,
- errors,
- scaling.
These are exactly the same categories of problems that arise in custom systems for clients.
The platform is therefore both a product and a practical case study.
What might a similar model look like in another company?
Marketing is just one example.
Sales
form → CRM → quote → PDF → delivery.
Customer service
message → classification → task → response.
Documents
data → document → approval → signature → archiving.
Reporting
data → analysis → report → email.
The mechanism is similar:
data → rules → automation → status.
EINTELLIX as a provider of automation systems
The marketing platform demonstrates one specific use case.
EINTELLIX can also design custom solutions for companies with their own processes.
This includes, among other things:
- web applications,
- mobile applications,
- AI,
- APIs,
- automation,
- user dashboards,
- custom systems.
More information:
The free beta as the beginning of further development
The first version is not intended to close the project.
Quite the opposite.
It is intended to answer the question:
which components of the system provide users with the greatest value?
For one group, it may be:
- automatic article publishing.
For another:
- AI-powered post creation.
For agencies:
- multi-brand management.
For small businesses:
- a shared calendar.
Further development should account for precisely these differences.
What will matter most in the first version?
Not the number of features.
The most important thing will be a working process.
A user should be able to follow a logical path:
prepare → review → schedule → publish → check the result.
If this process works conveniently, additional features can be developed later.
Automation with human control
This is one of the platform’s main principles.
It is not about:
AI does everything.
It is about:
AI helps where it is useful.
A person makes the decision.
The system performs repetitive work.
This is a much more practical business model.
Summary
EINTELLIX is finalizing the first public version of a platform that combines:
- SEO articles,
- AI,
- automatic website publishing,
- LinkedIn,
- Facebook,
- Instagram,
- a content calendar,
- a publishing queue,
- statuses,
- multi-brand management.
The first version is planned to be released as a free beta.
The platform is not being created as a simple social media scheduler.
Its foundation is an existing system for publishing SEO articles.
Social media is the next layer being developed around this core.
The intended model looks like this:
topic → SEO article → human approval → publishing to the company website → AI prepares posts → human approval → the system publishes to social media.
The immediate goal of the beta is to test this process in practice.
And the feedback of the first users will have a significant impact on the platform’s further development.
Discover EINTELLIX
EINTELLIX develops software, web and mobile applications, AI solutions, API integrations and business process automation systems.
The SEO and social media automation platform under development is one practical example of such solutions.
More information:
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Read also
- How can you manage article and social media publishing for multiple brands from one system?
- Marketing Automation for Small Businesses: Social Media, SEO and AI in One Process
- How to Publish One Post on Facebook, LinkedIn and Instagram at the Same Time?
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Frequently Asked Questions
Is the EINTELLIX platform available yet?
The platform is in the final stage of development. The first public beta is planned for the coming weeks.
Will the beta be free?
That is the plan for the first public version. The beta is planned to be available free of charge.
What will users be able to do in the platform?
The main direction includes managing SEO articles, scheduling publications, using AI, preparing posts and integrating with social media.
Was the platform created as a social media tool?
No. Its foundation is an existing system for preparing and publishing SEO articles. Social media is the next layer of development.
Will it be possible to schedule articles in advance?
Yes. The publishing schedule is one of the core elements of the system.
Will AI create articles?
AI is intended to support the preparation of content, structures, metadata and the later creation of post variants.
Will content be published without human control?
The recommended model includes review and approval before publication.
Will it be possible to create several posts from one article?
This is one of the platform’s core assumptions. An article can serve as source material for several social media publications.
Is the system intended to support LinkedIn, Facebook and Instagram?
The platform is being developed with these channels in mind. However, the exact scope of features depends on current APIs, account types and available permissions.
Will it be possible to manage multiple brands?
Multi-brand management is one of the system’s development directions.
Will the solution be intended for agencies?
It may be particularly useful for agencies, freelancers and companies managing multiple brands or websites.
Does automatic publishing guarantee better SEO?
No. Automation simplifies the publishing process, but it does not by itself guarantee search engine results.
Why is EINTELLIX making the platform available for free?
The beta is intended to help gather real user experience while also serving as a practical demonstration of EINTELLIX’s capabilities in software, AI, integrations and automation.
Where can I find more information about EINTELLIX?
More information about the company and its services is available at https://www.eintellix.com.