Can AI replace Frase?
A content-brief generator over SERP pages and an LLM is reachable, but Frase's workflow combines SERP retrieval, scoring, editor UX, AI-search tracking, and reporting.
01What it costs
Checked Aug 14, 2026 · source: frase.io.
| Plan | Monthly | Billed yearly | What you get |
|---|---|---|---|
| Starter | $49 | $39/mo | 1 seat; 1 site; 10 articles/month; 50 page audits/month; 3 Frase Guard pages. |
| Professional | $129 | $103/mo | 3 seats; 5 sites; 40 articles/month; 250 page audits/month; 15 Frase Guard pages. |
| Scale | $299 | $239/mo | 5 seats; 10 domains; 100 articles/month; 1,000 page audits/month; 50 Frase Guard pages. |
| Enterprise | — | — | Custom sites, seats, article volume, audit volume, governance, security, and support. |
Hidden costs: Extra seats cost $29/month; optional article/audit overages can add usage charges, but public unit rates are not disclosed. FraseCMS paid hosting starts at $19/month after its free 100,000-pageview/25 GB level.
02Could AI build it for you?
The core job: Retrieve top pages, summarize topics/questions/headings, generate a brief, score a draft against terms, and export to a doc.
What a working version needs:
- SERP/search API
- web parser
- LLM API
- document/editor UI
- scoring logic
- hosted backend
Good final row because it is exactly the sort of buildable-but-work SaaS this site should unpack.
03What you'd give up
- SERP data pipeline
- optimization scoring
- team workflows
- AI-search tracking
- editor polish
- reporting
They pay because writers need a repeatable research/editor workflow, not a pile of scraped pages.
05The build prompt
Paste this into an AI coding tool (such as Claude, ChatGPT, Lovable or Replit) to build your own version.
Build me a content-brief generator to replace Frase. Requirements: - A Node CLI: `brief "<keyword>"` writes ./briefs/<keyword-slug>.md. - Fetch the top 10 results for the keyword from Serper.dev (key in .env). - Scrape each result with Playwright plus Readability: title, H2/H3 outline, word count, and any questions found on the page. - Send the aggregate to an LLM (key in .env) to produce the brief: suggested title and angle, a target outline, questions to answer, terms competitors cover, and a word-count range. - `score <draft.md> "<keyword>"` re-checks my draft against the brief: which terms and questions are covered or missing, with a plain coverage percentage. - Cache scraped pages in ./cache/ keyed by URL so re-runs cost nothing. - Flat files only, no database; no accounts, no telemetry, the only network calls are the SERP API, page fetches, and the LLM. - Out of scope: an editor UI, rank tracking, team workflows. Briefs are Markdown, I write in my own editor. - README: which keys to get and the rough per-brief cost of the SERP API.
06Open-source starting points
- Danswer/Onyx: Open-source enterprise search/answering app; not a Frase clone, but prior art for retrieva
App prices, verdicts, alternatives and build prompts are adapted from Can I Vibecode It? (MIT License, © 2026 Rob Hallam). Each price shows the date it was checked and its source. Prices change; confirm on the vendor's site before you decide.
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