Articles that read like
a source, not a summary.

Because those are the numbers where research becomes credible without becoming noisy. Twenty ranking pages captures the genuine consensus across the leaders plus the variations the tail introduces, fewer inherits whatever a few top results say. Ten most recent conversations on each of Reddit and X is where the lived experience layer becomes representative: enough threads to spot patterns, recent enough to be current.

Whatever product data the team connects to Ranko, kept current with the source system's refresh cadence. Most teams connect product pages, pricing pages, the integrations list, the changelog, and a feed of customer outcomes. Some connect their help centre so feature docs flow in. The integration refreshes automatically, so the article never refers to a deprecated feature or an old price.

Every fact carries its source from capture through to weaving, so a fact without a clear source is never woven in. When a statistic appears in a ranking page, Ranko captures the number, the URL, and the context together. When a quote appears in a Reddit or X thread, the quote and the link are captured together. When a product detail comes from your data, the row is captured too. A fabricated claim cannot enter the article.

By clicking any claim in the draft view. Every sourced statement is hover or click revealable: the attribution appears with a direct link to the original ranking page, Reddit thread, X conversation, or product data row. The editor verifies a statistic in the time it takes to click through. Once published, the attribution is retained internally so the team can audit any historical article without redoing the research.

The article surfaces the disagreement rather than silently picking a side. When the top twenty ranking pages contain meaningfully different positions, the article presents the prevailing view with the dissent acknowledged: most sources say X, though some argue Y, the nuance that signals genuine understanding. When Reddit and X contradict the search consensus, the article notes the gap, often the most useful insight.

Generic AI grounding pulls a handful of results and summarises them. Real Research Mixed In differs in three ways. First, the coverage is deep: twenty full ranking pages plus ten recent Reddit and X conversations, not three to five snippets. Second, the conversation layer is something generic grounding never touches: Reddit and X capture what search misses. Third, your product data is woven in, a moat rivals cannot match.