Frase vs Scalenut: 2 SEO Tools 2026 [Benchmarks Inside]

Frase vs Scalenut is a choice between a SERP-research-and-draft seat and a GEO content engine that also tracks prompts in ChatGPT and Google AI Overviews. Neither product is a CMS of record, and neither product is a ticket layer that can refuse a publish. Frase and Scalenut are the two named tools in this comparison. US Tech Automations sits above them as the gate that blocks a row when the outline, the unique fact, and the human sign-off have not all passed.

TL;DR: Buy Frase if the team wants an entry SERP tab at a printed $39/mo yearly dollar and can live without a published term list. Buy Scalenut if the team wants GEO article creation, prompt tracking, and a printed Starter list price of $59/mo (retrieved 2026-09-07). Do not blend Frase's $39 yearly and $49 monthly into a fake midpoint. Do not treat Scalenut's limited-offer $24/mo as the enduring list price.

The bake-off is coverage versus a GEO engine

A content optimizer in this pair is software that turns a keyword into an outline, a draft, or a GEO-ready article. Frase's 2026-08-18 independent test did not get a vendor term list, so the tester used term precision@30 of 0.12 as a substitute. Scalenut's public pricing page, retrieved 2026-09-07, sells Starter, Plus, Professional, and custom VIP, with ChatGPT and Google AIO tracking on every listed plan and Perplexity on Professional.

Frase cheapest paid: $39/mo according to ToolVerdict (2026), test date 2026-08-18. Term precision@30: 0.12 according to ToolVerdict (2026) on that same Frase run, used only because Frase publishes no term list. That 0.12 is a coverage proxy. It is not a rank coefficient and it is not a Scalenut score.

Entry yearly: $39/mo according to Frase (2026) on frase.io/pricing, fetched HTTP 200 on 2026-09-04. Entry monthly: $49/mo according to Frase (2026) for the month-to-month option on the same page. Frase start: $49/month according to Content Raptor (2026), also HTTP 200 in the batch window. Print $39 yearly and $49 monthly as two numbers. Do not average them.

Starter list: $59/mo according to Scalenut (2026), retrieved 2026-09-07, with a 7-day free trial on the monthly column. Plus list: $89/mo according to Scalenut (2026) on the same fetch; Professional lists $199/mo and VIP is custom. The same page advertises a limited 60% off that prints Starter at $24/mo, Plus at $36/mo, and Professional at $80/mo. Label those as a limited offer. They are not the list prices.

COMPARISON earn rate: 17.8% according to US Tech Automations first-party mix-config (2026), on 12,514 live pages counted 2026-08-24 versus a 12.2% site base (941 COMPARISON pages in the denominator). This industry is not in the vertical earn-rate table (financial 17.2, logistics 14.6, general_smb 13.8, saas 13.8, accounting 9.5, insurance 8.0, healthcare 8.7, mortgage 5.8). Mix-config default: 10 according to the same first-party mix-config extract (2026). The 10 is a neutral default, not a vertical earn rate for seo_automation.

Teams who already compared a grader against the ticket layer should keep Clearscope vs the platform layer open in another tab. SaaS editors coming from a Surfer-and-Clearscope bake-off should stay on Surfer vs Clearscope for SaaS. If the real job is AI-answer citations rather than an outline, start from Profound vs Rankability instead of stretching Frase or Scalenut into a citation monitor.

Who should run Frase vs Scalenut

This page is for SEO leads and content ops managers who already have a CMS, a brief, and a human editor, and who need to pick one research-and-draft engine — not a second analytics suite.

Red flags: Skip both if you can outline ten URLs from the live SERP by hand. Skip Frase if you require a published NLP term list or a ChatGPT prompt tracker as the system of record. Skip Scalenut if you will treat a limited-offer $24/mo as the budget you take to finance, or if you need a listings network rather than GEO articles.

Glossary for this pair

• Term precision@30. Share of the tester's top-30 terms that also appear in the tool's output; ToolVerdict used 0.12 for Frase because no term list is published.

• GEO article. A page written so answer engines can cite it; Scalenut prices creation and optimization as separate monthly caps (5/5 on Starter list).

• Prompt tracking. How many ChatGPT / Google AIO prompts a plan refreshes; Scalenut Starter prints 10 weekly, Plus 25, Professional 100.

• List price vs limited offer. Scalenut's page shows $59/$89/$199 monthly and a 60% off column; this article prints both and dates the fetch.

• Idempotent page id. One CMS id per URL so a retry cannot duplicate the live page.

• post_status. The WordPress field that actually publishes; a grader score is not this field.

• Mix-config default. First-party neutral 10 when the industry is missing from the vertical earn-rate table.

• VIP / custom. Scalenut's custom GEO services row; dollars are "contact vendor."

Cash on the page (Frase and Scalenut)

Where a cell is not on the dated fetch, it reads "contact vendor."

Weighted criteria

Weights are an editorial model for this bake-off, not a traffic forecast.

Normalized matrix

The last column is first-party operating data from the 12,514-page corpus counted 2026-08-24.

Frase: when the SERP tab is enough

Best fit. A writer who lives in one research tab, needs an outline and a draft, and can defend a $39/mo yearly invoice. Agencies that already run Frase for SaaS blog posts can keep that seat if the job is still "cover the SERP," not "track 100 ChatGPT prompts."

Limitations. No published term list. ToolVerdict's substitute measure is precision@30 = 0.12. Higher Frase SKUs are "contact vendor" in this extract. Frase is not a GEO command center and not an AI-citation ledger. Content Raptor's $49/month listing matches the monthly column, not the yearly column.

Implementation. Research → outline → draft → paste into WordPress. A Zapier, Make, or n8n scenario can POST "draft ready," retry 5xx, and keep a run history when those steps are built on purpose. The buyer still owns idempotency (one Frase document per URL), escalation (who rewrites when the unique fact is missing), access control, retention of the SERP snapshot, and the person who flips post_status.

Primary evidence. Frase pricing 2026-09-04; ToolVerdict 2026-08-18; Content Raptor $49/month listing.

Scalenut: when GEO execution is the job

Best fit. A team that wants prompt tracking plus GEO article creation in one vendor, and that will budget the list $59/$89/$199 rather than the limited-offer column. Plus adds up to 4 members, 2 workspaces, a 200-page GEO audit, and WordPress/Shopify auto-publish on the vendor page. Professional adds Perplexity, unlimited workspaces, and 75 articles / 75 optimizations per month.

Limitations. Starter's 5+5 article caps are easy to burn on a real programmatic calendar. The 60% off column is labeled a limited offer on the 2026-09-07 fetch; finance should not model $24 as the steady-state. VIP Service is custom. Scalenut's own pricing page quotes third-party star ratings; those are vendor-page claims, not an independent test in this article. Scalenut is not a unique-fact scanner.

Implementation. Track 10 weekly prompts on Starter, generate GEO articles up to the cap, optimize existing URLs up to the cap, then let auto-publish fire only after a human checklist. A proposed ticket layer would subscribe to the CMS update, refuse live if the unique-fact field is empty, and allow n8n to retry transport errors only. Prerequisites: workspace-to-domain mapping (Starter is 1 workspace / 1 domain), a named editor, and a retention window for prompt snapshots.

Primary evidence. Scalenut pricing retrieved 2026-09-07.

21-day outline-to-publish recipe

Worked example: a 48-URL integration directory that must ship 48 pages in 21 days, one head query each, with a $39/mo Frase yearly seat and a $59/mo Scalenut Starter list seat ($98/month combined printed list cash). Day 1–7: Frase outlines 48 rows. Day 8–14: Scalenut creates GEO drafts until the Starter cap of 5 new articles is hit, then the remaining 43 rows stay in Frase. Day 15–21: an editor rejects 12 of 48 because the integration screenshot, the named auth method, and the dated changelog were tokens. A Make scenario retries the WordPress webhook twice on 5xx and stores the run id. US Tech Automations is proposed only as the gate that will not set post_status to publish until the unique-fact checkbox, the Frase document id, and the named reviewer are present. The 21-day SLA and the 12 failures stay with the team. This is a design, not a live deployment.

Decision checklist

• Need a printed dollar under $50/mo yearly? Frase entry yearly ($39).

• Need ChatGPT + Google AIO prompt tracking with a public cap? Scalenut (10/25/100).

• Need more than 5 GEO articles/month? Scalenut Plus ($89 list) or Professional ($199 list), not Starter.

• Need an independent 2026 coverage number? Frase has precision@30 0.12; Scalenut does not have a ToolVerdict score in this brief.

• Need a unique-fact gate? Neither vendor. Keep a human, a sheet, or a ticket layer.

• Modeling the 60% off Scalenut column as the annual budget? Stop. Print $59/$89/$199 as list.

When NOT to use US Tech Automations. If Frase already produces the outline and one editor already rejects thin pages, a ticket layer is overhead. If Scalenut Plus auto-publish into WordPress is the only workflow and a human already clicks through a checklist, keep that CMS as the system of record. If a Zapier scenario already retries 5xx and logs every run, the orchestrator is for teams that need the same gate across many tools, not a second login for one directory.

The homepage is the company root. If the missing piece is the gate, not the outline, the next step is pricing.

Key Takeaways

• Frase prints $39/mo yearly and $49/mo monthly (2026-09-04); ToolVerdict's cheapest paid figure is also $39/mo (2026-08-18).

• Frase publishes no term list; the substitute measure is precision@30 0.12.

• Scalenut list prices retrieved 2026-09-07 are $59 / $89 / $199 per month; the 60% off column ($24 / $36 / $80) is a limited offer.

• Scalenut Starter list caps are 10 weekly prompts and 5+5 GEO create/optimize articles.

• COMPARISON pages earned 17.8% vs 12.2% on 12,514 pages (2026-08-24); seo_automation uses mix-config default 10.

• Neither engine owns post_status. Zapier, Make, or n8n can retry; a human still owns the unique fact.

Frase vs Scalenut pricing questions

Is Scalenut cheaper than Frase in 2026?

Not on list prices. Frase yearly entry is $39/mo and Scalenut Starter list is $59/mo, both dated in this article. Scalenut's limited-offer $24/mo undercuts Frase, but it is labeled a limited 60% off on the 2026-09-07 page. Compare list to list, offer to offer, and say which column you used.

Does Frase or Scalenut predict Google rank?

Neither page cited here publishes a rank-correlation coefficient. Frase's independent 2026-08-18 number is term precision@30 of 0.12, a coverage stand-in. Scalenut sells GEO articles and prompt tracking. Rank still lives in Search Console.

Frase or Scalenut for SEO teams that already use n8n?

Both can sit behind n8n, Zapier, or Make with run history, retries, error branches, and audit evidence when those are configured. The buyer must still design idempotency, escalation, access controls, retention, and who publishes. A proposed US Tech Automations design would refuse post_status=publish until the unique-fact checkbox is true; that is a human review point, not a claim that either vendor is obsolete.

Can I run Frase and Scalenut together?

Yes. The printed list stack is $98/month (Frase yearly + Scalenut Starter). The failure mode is Frase covering the SERP while Scalenut burns its 5-article cap on the same URLs. Split the jobs: Frase for outlines, Scalenut for the GEO subset that must be tracked in ChatGPT, or drop one seat.

What happens when Scalenut Starter hits 5 GEO articles?

The vendor page prints 5 create and 5 optimize per month on Starter list. Additional URLs wait for next month, move to Plus ($89 list, 30/30), or get drafted in another tool. The cap is a volume ceiling, not a quality score.

When is a spreadsheet better than either paid engine?

When the URL set is small enough that an editor can paste SERP titles, write the missing questions, and publish. Paid engines earn their keep when that checklist would otherwise be rebuilt from memory every week. They do not replace a person who has opened the live page.