Two minutes sounds like a marketing number. It isn't. I timed it last week — from typing in a topic to having a publish-ready article with citations, SEO metadata, and an AI detection score, it took 1 minute 47 seconds. On a slow connection.
Here's what happens in that time, and why the order matters.
Step 1 — Define the Brief (20 Seconds)
The asks for four things: topic title, category, word count, and whether you want a focus keyword for SEO. That's it. You don't need to write a prompt. You don't need to specify tone or format. The system uses your category to apply the right structure — a Technology article is formatted differently from a Lifestyle piece, because the reader expectations are different.
Think of it like ordering at a restaurant where the chef already knows what kind of food you like — you just say what dish you want tonight. You're not writing a recipe, you're making a choice. That reduction in cognitive load is, I'd argue, half the value right there.
One thing people miss: the focus keyword field is optional. Skip it if you're writing something opinion-led or evergreen. Fill it in if you're targeting a specific search query. The generator adjusts its heading structure and intro accordingly.
Step 2 — Source Discovery (Runs Automatically)
While you're on the confirmation screen, Citeya is already running a web search for relevant, recent sources on your topic. It ranks them by domain authority and recency, then selects the top ones to ground the article. You don't see this happening — it just takes about 15 seconds. The result is that the article gets written with real information, not plausible-sounding generalities.
Here's where it gets interesting. Most AI writers generate first and cite second — which means the citations are often retrofitted to match whatever the model invented, not the other way around. Source discovery running before generation flips that. The article is built around what's actually true, not what sounds true.
I don't know exactly which domains the ranking algorithm prefers — probably a mix of link authority and publication date — but the sources it returns are consistently credible. You should still check them, but in practice I rarely find a citation that's wrong or irrelevant.
Step 3 — Article Generation (60–90 Seconds)
The article generates with full humanization rules applied — prose paragraphs, varied sentence length, contractions, an opinionated voice. No bullet lists. No 'In today's rapidly evolving landscape.' The output is structured with an H1, H2/H3 sections, a natural conclusion, and inline citations linking to the sources found in step 2.
Sixty to ninety seconds for a 1,000-word article. That's genuinely faster than making a coffee. And the output isn't a skeleton — it's a draft you can actually read through without wincing.
That said, don't expect it to sound exactly like your personal voice out of the box. The humanization rules get you to 'good editorial writing.' Getting to 'sounds like us specifically' takes one more step, which I'll cover at the end.
Step 4 — SEO Metadata and Detection (Automatic)
Once the article is done, Citeya generates an SEO meta title and description optimized for your focus keyword. It also runs an AI detection scan and returns a score alongside the article. You get all of this in the same view — no switching between tools, no copy-pasting into a detector, no manual meta writing.
The detection score is on a 0–100 scale, where lower means less detectable as AI. Scores below 30 are generally safe. Between 30 and 60, one editing pass usually handles it. Above 60 — which happens occasionally, especially on technical topics — the brings it down quickly. The point is you know the number before you publish, not after.
Meta titles and descriptions are one of those things writers hate doing — they feel like admin, they take disproportionate time, and it's hard to tell whether you got them right. Getting them auto-generated from the content itself means they're at least accurate, even if you tweak the wording.
What You Still Need to Do
Be honest: 2 minutes gets you a strong first draft, not a final article. You should read it. Add any first-person experience or specific anecdotes from your team. Check that the sources are actually what they claim to be. If the detection score is above 60%, run a quick edit pass using the tips in . Then publish. The whole process — AI generation plus human review — realistically takes 10–15 minutes for a 1,000-word article. That's still fast.
Why the Order of Steps Matters
The reason the 2-minute claim holds up is that every step runs sequentially with no dead time. You're not waiting for one thing to finish before starting the next. Source discovery runs during the confirmation screen. Detection runs during the generation render. Metadata generates in parallel with the detection scan.
It's similar to how a good production line works — not faster individual tasks, just no gaps between them. The total time compresses because nothing is waiting on you.
A Realistic Expectation for Your First Article
Your first article will probably take 5–7 minutes, not 2. You'll read the output carefully, second-guess a few sentences, maybe run the humanizer once. That's fine — it's also the right way to use any new tool. By your third or fourth article, you'll have a feel for which topics it handles best and what your review pass typically catches.
The 2-minute number is real. It just isn't the whole story. The 10-minute number — brief to publish-ready after a human read — is probably the more honest benchmark for most writers. Still faster than most alternatives by a significant margin.
Speed isn't the point — removing the tedious parts is. Two minutes of generation plus ten minutes of thinking beats two hours of both.