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The Stack / Writing & SEO

Frase

Yes if organic search is a real channel for you — Frase's brief-from-SERP workflow beats guessing what to cover, and its optimization scoring keeps drafts honest. Write the actual prose in your assistant seat (Claude); use Frase for the research and the scoreboard.

The job in the stack

The SEO-content seat: turning a target keyword into a data-backed brief, then scoring your draft against what actually ranks.

Pricing

PlanPriceNotes
Solo~$15/moLimited articles — pending fresh verification
Basic~$45/moMore articles/mo — pending fresh verification
Team~$115/moMultiple seats — pending fresh verification

Pricing verified 2026-01-15. Plans change — the source of truth is Frase's own pricing page.

Models & versions

  • Content briefs + optimizationSERP analysis, outline builder, topic scoring

The honest read

What works

  • +Briefs built from what actually ranks, not from intuition
  • +Optimization score gives editors an objective bar
  • +Compresses hours of SERP research per article into minutes

What breaks

  • Its built-in AI writing is weaker than a frontier assistant — use it for research, not prose
  • Article quotas on lower tiers pinch content teams
  • SEO tooling only pays if you actually publish consistently

Use it for

  • Bloggers and niche-site operators competing on organic search
  • Content teams standardizing briefs before drafting
  • Refreshing old posts against current SERPs

Skip it if

  • ×Search isn't a channel you're investing in this year
  • ×You publish rarely — per-article value needs volume

Questions operators ask

?Does Frase replace an AI writing assistant?

No — pair them. Frase tells you what a page needs to cover to rank; Claude writes it in your voice. Using Frase's own writer for final prose is leaving quality on the table.

What changed

  1. Added to the stack (SEO-content seat). Pricing seeded from January 2026 baseline, pending fresh verification by the update loop.

Give Frase a job

The SEO-content seat: turning a target keyword into a data-backed brief, then scoring your draft against what actually ranks.

Try Frase →

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