keywords

How many keywords per month do you actually need?

A quick math guide to picking the right Quibo plan.

The Quibo keyword quota is your monthly budget for discovering opportunities. Here's how to size it for your goal.

The rule of thumb

You need roughly 5 candidate keywords for every 1 article you ship. Discovery returns more than you'll keep; a typical accept rate is 20 to 30%. Every plan is built on that ratio.

Articles / mo (target)Keywords / mo (needed)Plan that fitsPlan allowanceResearch runs / mo
110 to 20Free1 article (lifetime), 20 keywords1 (lifetime)
1040 to 60Solo10 articles, 50 keywords1
30100 to 200Starter30 articles, 150 keywords1
75300 to 450Growth75 articles, 375 keywords2
200800 to 1,200Agency200 articles, 1,000 keywords4
5002,000 to 3,000Business500 articles, 2,500 keywords4

Lifetime tiers follow the same 5 to 1 ratio: 40 keywords for 8 articles on tier 1, up to 180 keywords for 36 articles on tier 5. Tiers 1 and 2 include 1 research run a month, tier 3 includes 2, tiers 4 and 5 include 4. See Plans and quotas for the full list.

Sizing a single run

One discovery run returns at most Max keywords this run rows (5 to 60, default 30) and only the rows actually inserted count. Each plan also includes a fixed number of research runs per billing cycle (the last column above), so size every run for what you need: a Starter account gets 1 run a month, Growth 2, Agency and Business 4. The run counter resets with your billing cycle, together with the article and keyword quotas. Manual keywords never count against either limit.

What "used" means for your budget

Keywords already turned into articles are sticky: they never re-appear. That's intentional (no duplicate content, no Google penalty risk), but it means your monthly discovery is cumulative against your goal: a keyword "spent" stays spent.

If you publish 30 articles a month for 12 months, you'll burn through about 360 unique keywords across the year. Starter's 150/month is a comfortable fit; Growth's 375 gives you room to over-research and reject more aggressively.

Why over-researching matters

Only a small share of any discovery batch is worth writing about, and the Gem label only goes to the top quarter of a run by opportunity score that also has a beatable page one. The wider you cast, the better the top of the list looks. vexp.dev, running the same engine, averaged 3.1% Google CTR over six months (152K impressions) by routinely rejecting 60 to 70% of discovered candidates (one site's result, not a guarantee).

Picking your plan

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