How research grounds in real customer language

Research reads the live web

The research sections are web-grounded. Rather than leaning only on what a model already memorized, the research modules search the live web and build their findings from current sources. That is what keeps market, competitor, and product work tied to the real world instead of to a model's training data.

Reddit-first, on purpose

Pinnora deliberately reaches for community discussion, Reddit first, when it grounds the audience and market work. The reason is plain: the way a real customer gripes about a problem in a forum thread is more honest, and more useful, than the way a brand describes that same problem on a polished page. Overhearing the complaint at the bar beats reading the brochure. Pulling that language in is what lets later copy sound like your buyer instead of like a marketing team. It happens automatically inside research. It is not a separate button you press.

Normal and deep depth

Grounding depth is set once, when you create the project, and it has two levels.

• Normal scans roughly 75 to 90 unique sites across the five sections.
• Deep runs an extra round of query expansion per section, pushing coverage to roughly 300 to 500 unique sites. New projects default to deep.

Deep costs more and takes longer, because it reads far more sources. For most brands the default is the right call. If you are grounding a very narrow or very new niche, deep earns its keep especially well, since there are fewer easy sources to find in the first place.