CitedAgainPart of the ImageORM suite
CitedAgain journal

The research machine behind CitedAgain

What makes CitedAgain different is not writing, it is research. A purpose-built scraping and research pipeline produces the real data behind every article.

Most content services start with writing. We start with research. A unique scraping and research pipeline gathers the real data that makes our content worth citing.

Research first, writing second

Anyone can write. Almost no one does the real research. Our process begins by scraping and analysing your market: the questions people ask, the facts that matter, what competitors say, and where the gaps are. Only then do we write, grounded in that real data.

What the machine gathers

Why this beats generic AI content

Generic AI articles have no research behind them, so they say nothing a model wants to repeat. Content grounded in real, verifiable data gives models specific, corroborated facts to cite.

Not simple AI articles. Real scraping, real research, real data, then accurate writing on top. That is the difference between content that decays and content that compounds.

A moat that compounds

Every month the machine learns more about your market and publishes more accurate, corroborated content. The result is a lead in AI visibility that competitors relying on generic content cannot easily close.

Questions

Is the research really original?

Yes. We gather real, current data from your market rather than recycling generic text.

Do you sell the raw data?

No. The research powers the content and reporting we deliver for you.

How is this different from an AI writer?

An AI writer produces text. Our pipeline produces real data first, which is what makes the text citable.

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