AI Content Creator. WLC × Open Mercato.
Content that writes itself and verifies itself. An article generator working from your knowledge base, written in your brand voice, with six verification steps before human approval. Built on the Open Mercato platform.
Content Creator writes articles from your sources, following the rules you set yourself. The text is then guided through six quality checks — EEAT, SEO, factual accuracy, language, sources, and humanization — and any facts that need verification are flagged in the text. The final decision to publish stays with a human.
WHAT CHANGES
Five changes in how content is produced. Each one applies to the entire workflow – from brief to publication.
AI Content Creator truly transforms your day-to-day work with content. Find out how.
01
Content grounded in your knowledge
A standard chat answers from the model’s general knowledge, occasionally inventing facts outright. Content Creator writes from your knowledge base – uploaded sources, documentation, transcripts – and searches the entire base on every generation.
The result: content grounded in the reality of your company, not in the model’s general knowledge.
02
Facts checked against sources
In a standard chat, a text sounds fine until an expert finds an invented number. Content Creator verifies facts against your sources and the web, and flags any uncertain places directly in the text.
The result: before the content reaches review, the facts already have their source.
03
One tool instead of five windows
Today, planning, writing, SEO, fact-checking, and proofreading sit across different tools and people. Content Creator runs the entire process – from brief to ready article – in one coherent application.
The result: the team works in one place, without handing a file across five people.
04
Your brand voice in every piece of content
Personas, brand voice, brand archetype, company strategy, and Do’s & Don’ts are configured as variants you set yourself. The AI writes in your voice without re-explaining who you are every time.
The result: content sounds like your brand from the first draft, not after the fifth round of revisions.
05
Human at the point of decision
The AI generates and proposes corrections, but the human approves and decides when the text is ready. Automatic publication is intentionally not supported.
The result: responsibility for what goes out stays with the team.

Want to see how Content Creator works on your material?
We’ll walk through a demo on your case – from the brief and knowledge base, through generation, to the six verification steps and an article ready for publication.
WHO NEEDS THIS
One tool, three contexts. Rules, personas, and brand voice are adjusted to your brand and industry.
B2B marketing teams
Situation: The pace of content production outruns the pace at which the team grows. Each article means planning, writing, SEO, fact-checking, and proofreading – often across five tools and five people.
Solution: Content Creator writes for your persona and brand voice, plans keywords from the start, and keeps EEAT in check. Content is produced for search from day one, in a single coherent process.
Online stores and e-commerce with large catalogs
Situation: SEO content and product descriptions at the scale of thousands of SKUs, across multiple language markets. The risk of invented parameters grows with volume, and corrections after publication cost more than a good source at the start.
Solution: The system verifies facts against your sources and flags everything that needs checking. Content is produced in multiple languages for local markets, with the same quality rules across the board.
Technology and expert-driven companies
Situation: Technical content consumes the time of senior people. They are the ones verifying facts, documentation, and the expert tone of voice. Their expertise is needed where automation cannot replace it.
Solution: Content Creator verifies factual accuracy against documentation and sources, checks links against trusted domains, and maintains an expert brand voice. The tool was built from our own need – we use it inside WLC.
METHODOLOGY
From brand configuration to a ready, verified article.
STEP 01
Brand assets and rules
You configure personas, brand voice, brand archetype, strategy, and Do’s & Don’ts as variants in the panel. All prompts – from planning to each verification step – are edited and previewed before they reach the model. Defaults are set per workspace.
STEP 02
Brief and plan
You choose the persona, sources, and brand inputs. The system proposes topics, keywords, and titles. You accept the plan with full edit control.
STEP 03
Generation
The AI writes the article from the accepted plan, your sources, and the entire knowledge base. You can generate multiple texts in parallel (streams).
STEP 04
Six-step verification
The content passes through six checks: EEAT, SEO, Factual accuracy, Language, Links, and Humanize. Each step returns a list of corrections, and facts requiring verification are flagged in the text.
STEP 05
Human approval
You approve the corrections, the AI applies them, and you decide when the text is ready. Nothing publishes automatically.
WHAT YOU GET
Four functional areas behind every article.
- Source uploads – links, files, transcripts
- Enrichment across the entire knowledge base
- Topics and keywords generated from a selected source
- Parallel generation of multiple texts (streams)
- EEAT, SEO, Factual accuracy, Language, Links, Humanize
- Fact-check against your sources and the web (Tavily)
- Links compared against a whitelist of trusted domains
- Facts requiring verification flagged directly in the text
- Brand assets as variants: personas, brand voice, archetype, strategy, Do’s & Don’ts
- Prompt editor with preview for every prompt
- Configurable pipeline — toggle generation and verification stages
- Iterate on quality without involving engineering
- Polish and English with model selection per task
- Import of existing articles through the same verification flow
- Consistent quality across multi-market sites
- Multiple brand contexts in one instance

After the rollout
The assistant is one of the products we build on the Open Mercato platform — feature scope can expand alongside business needs, with full ownership of code and data. See also AI Sales Assistant →
Questions about
AI Content Creator.
A chat gives you one text and that’s it. Content Creator runs the content through a repeatable process with six verification steps, writes from your knowledge base, in your brand voice, according to rules you set – and flags facts that need to be checked. What you get is an editorial process, not a single answer.
The factual accuracy step verifies facts against your sources and the web, and any uncertain places are flagged directly in the text. The Links step compares references against a list of trusted domains. Anything that needs checking reaches you with that flag. The final say is human.
No. The AI generates and proposes corrections, but a human approves and decides on publication. Publishing blind is intentionally off the table – responsibility for what goes out stays with the team.
Yes – this is the foundation of our approach. Personas, brand voice, archetype, strategy, Do’s & Don’ts, and prompts are configured by you in the panel, without engineering. The interface is shared, but the rules are adapted to your company and industry.