Content optimization / head-to-head
Frase vs Scalenut
Neither content score predicted where a page ranked: Frase at ρ -0.115, Scalenut at ρ -0.071. Scalenut gives you a term list, Frase does not.
Every number here comes from our own runs, not from either vendor, and is read straight out of the test report it came from. How each one is measured is set out in our methodology.
Side by side
| Measurement | Frase | Scalenut |
|---|---|---|
| Score ↔ rank (ρ)Mean Spearman between the tool's content score and real Google position | -0.11538 pages · 2026-08-18 | -0.07132 pages · 2026-08-21 |
| Term precision@30Of the top 30 terms it suggests, how many the ranking pages actually share | 0.1220 keywords · 2026-08-18 | 0.168 keywords · 2026-08-21 |
| SERP overlapDomains its own top 10 shares with the real Google (us) top 10 | 61%20 keywords · 2026-08-18 | 87%8 keywords · 2026-08-21 |
| Cheapest paid planCheapest paid tier, US dollars per month | $39/mo2026-08-18 | —not tested |
| Claims that held upShare of claims in its generated drafts we could source | 75%2026-08-18 | —not tested |
← swipe the table sideways for the rest of the columns
Frase publishes no term list, so that precision@30 figure is a substitute measure: its keyword research output scored against the same term ground truth. A low figure there means the tool does not do that job, not that it does it badly.
The two runs did not cover the same keywords. Frase ran 20 keywords, Scalenut 8 (keywords-v1 against keywords-v1 ids 1–8). The ground truth and the scoring are identical, but the keyword sets are not, so this is not a head-to-head. Read each column as its own result.
Who each one suits
Frase is the only one of the two whose generated drafts we fact-checked: 75% of the claims we pulled held up. We have no equivalent figure for Scalenut.
Scalenut hands you a list of terms to work into the draft. Frase publishes none.
Its crawled top 10 shared 87.2% of its domains with the real Google (us) top 10, against 60.8%. The competitor set it shows you is closer to the one you are up against.
Neither content score told us where a page would rank. If you are picking between these two on the strength of the number each product asks you to work toward, our tests give you nothing to go on.
The runs behind this page
- Frase review — A research-to-draft pipeline with no term list, and a content score that did not predict Google rank in our sample. Tested 2026-08-18
- Scalenut review — A weighted term list and a scored competitor table, under a content score that did not track rank against Google or against its own SERP. Eight-keyword run. Tested 2026-08-21
Build the term list yourself
The ground truth behind both columns is the set of terms the current top-10 pages share. Our Top 10 Term Finder pulls that list for any keyword, free and without an account, using the same extraction that produced the numbers above.