Oravel writes answer-first articles from live web research. Every statistic carries an in-text citation to its real source. A skeptical fact-check pass flags anything shaky before publish — so what ships under your client's name holds up.
Oravel doesn't write from what a model half-remembers. It researches the topic on the live web, builds an outline that answers the question in the first paragraph, and drafts long-form where every statistic cites its real source — in the text, where readers and AI assistants can follow it. Internal links point at the client's other articles as it writes.
B2B buyers now read an average of 3.2 comparison pages before booking a demo (Gartner, 2026) — and 61% of those pages never answer the actual question above the fold (Wynter). That's the gap this guide closes.
Before a draft reaches you, a second pass rereads it like a hostile editor. Every claim gets challenged. Every number gets traced back to its source. Overreach, orphan stats, anything the source doesn't actually say — flagged in the editor with the reason attached. You resolve flags before publish, not after a reader does.
Every article gets an on-brand hero image, generated with gpt-image-2. Hand Oravel real product photos and it uses them as references — the can in the scene is your client's can, label intact. Then vision AI writes WCAG-grade alt text and embeds it in the image file itself, so accessibility travels with the asset wherever it ends up.
Embedded alt text: “Two slim cans of sparkling beverage on a marble counter beside sliced grapefruit, labels facing the camera.”
AI articles are included in every Oravel workspace.
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