The Snoika vs Frase choice depends on who will do the work. Snoika suits teams that want AI visibility tracked and reviewed content published for them, with ChatGPT and Google AI Overviews as the engines that count. Snoika also writes that content. Frase suits teams with their own writers who want a cheaper self-serve tool, and it covers more AI engines if you pay for the higher plans. On tracking depth and finished output, Snoika comes out ahead.
Snoika treats generative engine optimization (GEO) as its own discipline. Tracking starts from the prompts people type into AI assistants. Those same prompts guide content planning and writing. That changes the work itself, because a page written to be cited in an answer needs different structure and evidence than a page written only to rank.
Frase arrived at GEO from the other direction. It built its name on SERP research and content briefs, then added AI visibility tracking in 2025, according to a comparison by xSeek. Next to newer GEO platforms, Frase is a mature content tool with a visibility layer on top. Its strength is the research-to-draft workflow. Platforms built for GEO from the start put the prompt, rather than the keyword, at the center. When you test either tool, check where the prompts you track come from and whether they feed straight into what gets written next.
Snoika monitors two engines, ChatGPT and Google AI Overviews, and reports on them week by week. It skips Perplexity and Claude on purpose. It goes deep on the two engines that send the most traffic for most brands. The weekly report covers each tracked prompt.
The prompts come from the researched content map, so the tracking measures the same questions the content was built to answer. You can add custom prompts as well, such as a product comparison your sales team hears every week. Before you rely on any tracker, ask whether the prompts reflect what buyers ask. A dashboard full of prompts nobody types gives you a clean chart and no useful signal.
Frase monitors brand mentions and citations across AI engines. It also tracks competitor share of voice, but how many engines you get depends on the plan. According to a review by YourAISoft, Frase's Starter plan tracks 50 prompts daily on ChatGPT and Google AI. Professional raises that to 200 prompts and adds Perplexity. Watching five engines takes the Scale plan.
Frase covers more engines than Snoika does, and it refreshes daily. That's a real advantage if your buyers use Claude or Gemini heavily. The catch is the paywall. On the entry plan, Frase watches the same two engines Snoika does. Frase also offers Content Guard, which watches published pages for ranking decay and drafts a fix for your approval. So check which plan your budget actually reaches before you compare engine counts.
Snoika produces finished pages, while Frase helps your writers produce them. In Snoika, each page comes out of the content map with the parts that take an editor hours already set. Each page has a researched outline with target prompts, plus internal links. Its schema and call to action are also set. It covers 120+ page types in 135+ languages, so a team running sites in eight markets works from one plan.
Frase counts output by articles. According to Frase's pricing page, its monthly article allowances are 10, 40 or 100 articles. A separate allowance covers audit pages. A team that publishes 15 pieces a month will find the Starter cap too tight. When you compare output, count finished, publishable pages. A drafted article that still needs a day of editing costs more than it looks.
The two tools start from different places. Snoika writes to rules, and Frase writes from SERP research. Snoika's linguists wrote the rules its writing follows. Each draft is scored on twenty linguistic measures and checked for sixteen AI writing patterns, such as rule-of-three lists and piled-up "-ing" phrases. The checks also cover hedging and salesy language. Sentences that get flagged are rewritten before a human reviewer sees the draft.
Frase builds a brief from the pages already ranking, then its writer drafts in your brand voice and scores the draft for SEO and GEO, as Frase's own feature page describes. Its score tells you what topics and questions are missing. A pattern check works on a different level and catches the sentences that make a reader stop trusting the page. Ask any vendor which of the two it measures.
Snoika publishes data on its own writing quality, and Frase's reviewers say its drafts still need an editor. Snoika's evaluator scored 666 articles with the same formula. The average quality score went from 58.5 on the first articles to 82.3 in autumn 2026. Pattern points per 1,000 words dropped from 72.8 to 21.4 over the same stretch.
The detail matters more than the headline. Rule-of-three triplets per article fell from 20.4 to 3.7, and piled-up "-ing" phrases fell from 9.8 to 0.5. Em dashes are gone. Negative parallelisms and signposting filler are absent from at least 9 in 10 articles. Tailing negations are also absent from at least 9 in 10 articles. A review by Twelverays notes that Frase's AI output still needs a human editor. If you're reading Frase reviews to judge quality, ask for a sample draft before you edit it and read it as a buyer would.
Snoika publishes onto your own domain once you approve each page, while Frase pushes drafts into your CMS or its own hosting. Snoika connects through DNS for the whole website or through an integration. That integration can be with a CMS or any custom setup. Nothing goes live until you approve it in the dashboard, so legal or brand teams keep the final say.
According to Slate Index, Frase's publishing destinations include WordPress, Webflow and Sanity. It also supports Wix and its own FraseCMS. FraseCMS is free up to a point, with paid hosting tiers above that. Both routes work. Before you sign, ask your developer which option avoids moving content between systems.
Snoika bills weekly by strategy slot and includes the services, while Frase bills monthly by usage and charges extra once you pass the limits. That difference affects what the money buys as much as how much it is.
| Snoika | Frase | |
|---|---|---|
| Billing unit | Strategy slots, weekly | Seats and usage, monthly or yearly |
| Entry plan | AI + SEO Starter, 1 slot, €124/week | Starter, $49/month |
| Mid plan | Standard, 2 slots, €248/week | Professional, $129/month |
| Upper plan | Pro, 3+ slots, €495/week | Scale, $299/month |
| Enterprise | On request | On request |
| Overages | Not applicable | Pay-as-you-go on Professional and Scale |
| Writing and review | Done by Snoika's team | Done by your team |
Billing unit
Entry plan
Mid plan
Upper plan
Enterprise
Overages
Writing and review
Frase prices were checked 7 October 2026 by YourAISoft, and yearly billing takes about 20% off.
Snoika's AI + SEO Starter plan costs about €537 a month, which is far more than Frase's entry price. That fee covers the platform plus the people who run it. If agreed KPIs are missed, Snoika keeps providing the services at no extra cost until the results arrive. Make sure those KPIs are written down before you start.
Frase's Professional plan charges $5 per extra article and $0.25 per extra AI prompt once you switch on pay-as-you-go. Extra seats cost $29 a month. When you work out what Frase really costs, add your writers' hours to the subscription.
Snoika fits marketing teams that have AI visibility goals but no spare writers or editors to reach them. If you run several markets, the 135+ languages remove the need for a translation vendor. It also suits teams that answer to KPIs, because the guarantee ties the fee to results. A team that already has strong in-house writers will pay for services it doesn't need.
Frase fits SEO-led content teams that already have writers and want faster research and briefs. The entry price is low enough for a freelancer or a small agency to try it on one site. Teams whose buyers rely on Perplexity or Claude also benefit from Frase's wider engine coverage on the upper plans. The trade-off is labor, because every brief still needs a person to finish it.
For AI visibility, Snoika is the stronger choice because it tracks GEO as its own discipline. It publishes on your domain with content written to rules set by linguists. Frase is the better buy when you have writers or a tight budget. It is also the better buy when your buyers are spread across five or more AI engines. The question to settle first is labor: who on your team will turn tracking data into published pages each week.
Choose Snoika if, after a frank look at your team, nobody has hours each week to turn visibility data into pages. Tracking alone tells you where you're missing from answers, and it won't fix that by itself. Before you settle Snoika vs Frase, pick 10 prompts your buyers ask and check whether your brand appears in ChatGPT today. That baseline gives either tool something real to improve on. Snoika tracks ChatGPT and Google AI Overviews, and its team writes and publishes the pages that answer those prompts. To see it run on your own prompts, book a demo.
Frase starts with search research and content briefs, while platforms built around AI visibility start with buyer prompts. When comparing them, check whether tracked prompts guide content production and whether your team will need to turn findings into finished pages.
Frase tracks brand mentions and citations, alongside competitor share of voice. Starter monitors 50 prompts daily across ChatGPT and Google AI. Professional increases that to 200 prompts and adds Perplexity. Five-engine coverage requires Scale, so compare coverage at the plan level.
The managed option delivers reviewed pages for approval and publishing, while the self-serve option helps your writers research and draft articles. Compare finished pages rather than draft allowances, and include the editing time your team needs before publication.
For the self-serve option, add writing and editing time to the subscription price. Extra usage can also increase the bill.
The managed option continues providing services at no extra cost until the agreed results arrive if its KPIs are missed. Define those targets in writing before work begins so there's a shared basis for assessing whether the guarantee applies.






