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Roman is the AI visibility and SEO engine that finds opportunities, does the work, and measures what changed.

Roman gives marketing teams a new way to work across SEO and AI search. Instead of separating research, content, optimization, and reporting into disconnected projects, Roman brings them into one continuous cycle: understand what is happening, decide what matters, ship the work, and learn from the results.

It starts by understanding the company behind the content. Roman studies the product, website, audience, competitors, positioning, existing articles, internal insights, writing style, and editorial rules. This context shapes every recommendation, article, refresh, and workflow.

Roman then tracks performance across Google and AI search. It uses Google Search Console data to find keyword opportunities, declining pages, CTR gaps, and articles worth improving. It also monitors how the brand appears in AI-generated answers, including mentions, citations, sentiment, share of voice, competitor visibility, and the sources shaping those answers.

These signals do not remain inside a dashboard. Roman turns them into action. It can research topics, plan content, create articles with a clear thesis, refresh existing pages, strengthen internal links, identify backlink opportunities, prepare distribution content, and publish structured drafts into the CMS.

As the work goes live, Roman measures what changed. Teams can track movement in rankings, clicks, citations, visibility, and other performance signals, then use that evidence to guide the next action.

This creates a more responsive way to run SEO and AI visibility. Strategy is informed by live data. Insights lead directly to execution. Published work creates new signals, and those signals shape what happens next.

Roman's agents keep this cycle moving while the team stays in control. Every piece of work can be reviewed, edited, approved, or rejected before it goes live, with

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