Frase vs Mangools 2027: Which SEO Tool Fits Your Business

Frase vs Mangools: the short answer

Frase vs Mangools is really a choice between a tool for producing and optimizing pages and a tool for finding keywords and watching rankings, so start by naming which of those jobs is stuck. Pick Frase if your bottleneck is drafting, refreshing, and monitoring your own pages and you want those steps in one product. Pick Mangools if your bottleneck is keyword research and rank checks and your writing already happens in another tool.

For this guide, an SEO content tool is software that helps you choose topics, draft or improve pages, and check how those pages perform in search results and in AI answers.

TL;DR: Frase is the stronger shortlist choice for a small team that publishes on a schedule. Mangools is the stronger shortlist choice for an owner who does research and tracking but does not need a drafting module. Frase publishes its plan prices and monthly caps. The Mangools plans page I could read showed no prices, so check its live page before you compare budgets.

Key Takeaways

• Frase is built around the page itself: research, drafting, optimization, publishing, and monitoring. Mangools is built around the research layer: keyword ideas, SERP checks, rank tracking, backlinks, and domain overviews.

• Frase's pricing is public in USD and tied to monthly caps on articles, audit pages, and AI generations. Overage rules differ by plan, and its entry plan stops at its limit instead of billing extra.

• Mangools' REST API is documented with an OpenAPI spec and a token header, which I could verify. I could not open Frase's API reference.

• Neither vendor's legal owner was confirmed on a primary page, so ask both for their contracting entity and data-export terms before you sign.

• Review sites disagree on both products, so treat any single rating as a snapshot and read the recent complaints.

• An automation layer only pays off when someone owns the alerts and approves every content change.

How we evaluated these two tools

We weighted six criteria by how much each one changes a small business's buying decision. The weights are our judgment. The facts under each criterion come from the vendor pages and review sites cited in later sections. A feature a product does not offer lowers its score on that criterion, and it is not counted as a penalty for price.

Current scope and ownership

Neither product has been renamed, merged, or discontinued in the sources I checked. Both vendors' sites are live, but the ownership picture is less clear than the product pages suggest.

Frase's homepage describes it as a content platform for AI search, and its pricing page states that prices are in USD. Its homepage footer reads "© 2026 Frase," and its trust badges link to a copysmith.ai domain without explaining the relationship. I did not confirm that relationship, so I do not name an owner for Frase.

Mangools runs its tools from mangools.com. The six tools are KWFinder for keyword research, SERPChecker for SERP analysis, SERPWatcher for rank tracking, LinkMiner for backlinks, SiteProfiler for domain overviews, and AI Search Watcher for AI search visibility. I could not confirm a legal owner from Mangools' own site, so I do not name one for Mangools either.

Frase's Trustpilot page shows a TrustScore of 3.5 out of 5 from 66 reviews, according to Trustpilot (2026). One figure on the same page reads 3.7, so check the live page before quoting it. Frase's replies there attribute its complaints to a platform rebuild launched in January 2026, and lifetime-deal buyers describe being left behind during it. If you are looking at an older Frase deal, confirm which product generation you would actually receive.

Feature matrix: what each product covers

The matrix uses the feature names each vendor uses on the pages I read. "Not listed" means those pages did not describe the feature. It does not prove the product lacks it, and access can differ by plan.

Read across the rows and the split is clear. Frase covers the page from draft to monitoring. Mangools covers the research layer in more depth. Both list AI search visibility, which changes quickly, so check which answer engines each plan tracks before you rely on it. Frase's pricing page says its Starter plan tracks ChatGPT and Google AI, Professional adds Perplexity, and Scale adds Claude and Gemini.

Pricing, plan limits, and a worked budget case

Frase's Starter plan: $39 a month billed yearly according to Frase (2026). Pricing checked October 18, 2026. The rest of Frase's public pricing is in the table below, in USD. The Enterprise row is quote-based because the page routes that tier to sales.

Every Frase figure in the two tables comes from the pricing page cited above. Frase's Scale row lists seats as included, but another line on that page describes extra seats at a separate charge, so ask for the seat price in writing before you assume it.

I could not read a price for any Mangools plan. Its plans page describes the tiers and a free account, but the text I could retrieve showed no amounts, so the Mangools row says "Not shown" rather than a guess. Check the live plans page before you budget.

Frase's plan limits are the part of the price that changes your real cost:

Here is a worked case. A two-person team plans 12 articles a month. Starter's cap is 10 articles, which leaves 2 articles uncovered each month (12 minus 10), and Starter stops at its limit rather than billing extra. Professional's cap is 40 articles, which leaves 28 spare each month (40 minus 12). Professional costs $103 a month billed yearly or $129 month-to-month, according to Frase (2026). The research side of that team's stack would hang off one tracking_id per project, with list calls such as /serpwatcher/trackings/{tracking_id}/tracked-keywords, according to Mangools (2026). The decision in this case is about the article cap, not the headline rate: the team needs Professional to draft 12 articles inside the plan.

Frase profile: fit, limits, and rollout

Best fit: Frase suits a small team that drafts, refreshes, and watches its own pages and wants those steps in one product. It is a weaker fit for an owner who only needs keyword lists and rank checks.

Vendor facts: Frase's pricing page lists monthly limits for articles, audit pages, AI generations, Content Guard pages, AI Visibility prompts, and API, MCP, and CLI requests, plus a domain count. Its homepage describes FraseCMS and integrations with WordPress, Webflow, Sanity, and Wix.

Rating: Toolradar rating: 4.0 out of 5 for Frase according to Toolradar (2026). Its aggregate covers 761 reviews, and its listed cons are AI quality that varies, a learning curve, a credit system, a complex interface, and limited languages. The aggregate also includes Trustpilot, which conflicts with the Trustpilot page cited above, so the spread across sources is wide.

Limitations (our read): The caps are the real cost driver. A team that outgrows the Starter article cap has to move up a tier, and on Professional and Scale, overages bill per extra article if you turn them on. Trustpilot reviewers also describe support gaps during the rebuild, which should weigh heavily on any team that cannot absorb a slow week during a product change.

Implementation: Before you commit, publish one page through the path you would really use, whether that is FraseCMS or one of the listed integrations. Ask how you would export your briefs and page history if you cancel. Frase's API requests are capped per plan, so check whether any planned sync fits inside the limit in the table above. For a wider set of drafting tools, see our roundup of drafting tools. If you sell software, the SaaS roundup of drafting tools is the closer fit.

Mangools profile: fit, limits, and rollout

Best fit: Mangools suits an owner who mainly needs keyword research, SERP checks, rank tracking, and backlink lookups, and who writes in another tool.

Vendor facts: Mangools describes its API as the official REST API for its SEO toolkit, with an OpenAPI spec and an X-Access-Token header. SERPWatcher updates rankings weekly, and daily on the Agency plan, according to Mangools (2026).

Ratings: Gizmodo rating: 3.5 out of 5 for Mangools according to Gizmodo (2024). That review calls Mangools a budget pick that falls short of greatness. It also lists no site audit tool, no content marketing features, and weak competitor analysis, according to Gizmodo (2024). Toolradar puts Mangools at 4.7 out of 5 from 189 reviews across G2 and Capterra, according to Toolradar (2026). A rating gap that wide is itself a reason to read recent reviews before deciding.

Limitations (our read): Toolradar's listed cons include being limited compared with Ahrefs and Semrush, data accuracy that varies, daily limits, and basic backlink data. The daily lookup limits are the first thing a busy owner hits, so check them against the plan you would buy. If you also weigh Ahrefs, our Ahrefs vs Mangools comparison covers that pair.

Implementation: Create an account, generate a token from the API token page, and run one read call against a single tracking before you build anything. The API documentation has separate pages for authentication, errors, and rate limits. Read the rate-limit page before you set a schedule.

Where the workflow breaks after you publish

Most of the pain with either tool shows up after publishing. A page loses rank, a keyword drops, or a change goes live without review. The two walkthroughs below are proposed designs, not live deployments, and they name the prerequisites and the human review points.

On the Frase side, the proposed trigger is a page flagged by Content Guard, which watches published pages for ranking decay. A script or no-code step reads that flag through an export or an API call. The prerequisite is confirming that your plan's API access covers alert data, since I could not open Frase's API reference. The output is a task in your project tracker with the URL, the flagged query, and a link to the page's brief. The review point is a human one: an editor decides whether to rewrite, merge, or leave the page, and nothing publishes without that sign-off. US Tech Automations would configure that trigger-to-task path as a proposed design, with the sign-off step written into the configuration.

On the Mangools side, the proposed trigger is a scheduled pull from a SERPWatcher project. The action calls /serpwatcher/trackings/{tracking_id}/tracked-keywords with your token in the X-Access-Token header, compares each keyword's position to the prior pull, and flags drops past a threshold the owner sets. The output is one row per keyword in a shared sheet and a message to the owner. The prerequisites are a token and a tracking ID for each project. The review point is that rankings update weekly, so a one-day drop can be noise. The SEO lead checks the live results before changing any page. US Tech Automations would keep that threshold and review step in the configuration rather than leaving them to memory.

Compared with building the same flow in Zapier, Make, or n8n, those no-code tools can support run histories, retries, error branches, and audit evidence when you configure them. What you still own is observability (who sees a failed pull), idempotency (a retry must not create a second task), escalation, access controls for each API key, and upkeep when either vendor changes an endpoint. A proposed US Tech Automations design would differ mainly in setting those four items up front, each with a named owner, and the same prerequisites apply: API or export access, least-privilege keys, and a human approver for content changes.

When NOT to use US Tech Automations: skip any automation layer if you only need a monthly rank check you can read in the vendor dashboard, or a few drafts a week that one editor reviews by hand. A plain vendor export or a spreadsheet beats a workflow nobody maintains. If nobody on your team will own alerts, failed runs, or content approvals, a simpler tool with no automation is the better purchase, because the automation adds a failure point with no owner.

Who this is for, and common mistakes

Frase is the better fit when a writer or owner needs drafting and optimization next to page monitoring. Red flags: your monthly volume would overrun the plan cap and you cannot absorb overages; you need dependable support during a product change; or you expect a lifetime-deal account to work the same as the current product.

Mangools is the better fit when keyword research and rank checks are the bottleneck and writing happens elsewhere. Red flags: you need a site audit or a drafting module in the same tool; you need deep competitor gap analysis; or you plan a budget against prices you have not confirmed on the live plans page.

Common mistakes to avoid:

• Comparing headline rates without reading the overage rule. Frase's entry plan stops at its limit, while Professional and Scale bill extra articles if overages are on.

• Treating a feature missing from a page as missing from the product. The matrix says "Not listed" for this reason.

• Trusting one star rating. The two products' ratings differ widely across sites.

• Sending alerts into a tracker that has no named owner.

Decision checklist

• Does your bottleneck sit in writing and refreshing pages, or in research and tracking?

• Does your planned monthly article count fit a Frase plan cap without relying on overages?

• Have you confirmed Mangools' current plan prices on its live plans page?

• Does a named person approve every content change before it publishes?

• Have both vendors confirmed their contracting entity and data-export terms in writing?

Frequently asked questions

Is Frase cheaper than Mangools?

I cannot rank them on cost from verified figures. Frase publishes its plan prices, and the Mangools plans page I read showed none. Compare the Frase tier that matches your volume against Mangools' live prices before you decide.

Does Mangools write content?

No, not on the tool list I read. Its six tools cover research, SERP checks, rank tracking, backlinks, domain overviews, and AI search visibility. A 2024 Gizmodo review also notes that it has no content marketing features.

Does Frase track keyword rankings?

Frase's Content Guard watches published pages for ranking decay, and its AI Visibility feature tracks mentions in AI answer engines. On the pages I read, Frase does not list a keyword rank tracker of the SERPWatcher type, so confirm that before you assume it.

Are review scores reliable enough to decide?

No, not on their own. Frase's Trustpilot page and the aggregate review sites disagree, and the Mangools scores differ between a 2024 review and a recent aggregate. Use the scores to find the recurring complaints, then test the product on your own pages.

Can either tool feed an alert or automation?

Mangools can. Its REST API is documented with an OpenAPI spec and a token header. For Frase, the pricing page counts API, MCP, and CLI requests per plan, but I could not open its API reference, so confirm the endpoints and export terms before you design anything.

Which one should a small team choose?

Choose Frase if writing and refreshing pages is the bottleneck and a plan's monthly cap fits your volume. Choose Mangools if research and rank checks are the bottleneck and your writing already happens in another tool.

Next step before you buy

Name the bottleneck first, then pick the tool that removes it. Check the Frase cap against your real monthly output, pull Mangools' prices from its live plans page, and confirm API and export terms with both vendors in writing. If you later want a ranking drop or a decay flag to reach a named reviewer as a tracked task, see how US Tech Automations configures this. Compare that proposed design against the no-code build described above before you choose.

Sources:

• Frase pricing

• Mangools plans

• Mangools OpenAPI spec

• Trustpilot, Frase

• Toolradar, Frase

• Toolradar, Mangools

• Gizmodo, Mangools review