beserp Keyword Clustering

beserp Keyword Clustering turns keyword exports into a content plan organized by topic, search intent, page type, and priority. It accepts CSV, TSV, and XLSX files and can map keyword, volume, difficulty, CPC, and intent columns when present. Its semantic grouping uses embeddings to identify topical similarity rather than relying only on shared words. Each cluster gets a dominant intent label and a suggested page type, such as a pillar, comparison, glossary, or product page. A 0–100 priority score combines search volume, intent strength, and inverse difficulty. Supported sources include exports from Semrush, Ahrefs, Moz, Google Keyword Planner, Google Search Console, Surfer, Lowfruits, and KeywordsPeopleUse, plus plain CSV files with a keyword column. Results can be exported as a CSV or .ics content calendar, or sent to a paid project as a content brief. A run costs 43 credits, shown as approximately $0.43, and signup credits cover 11 runs. The maker says there is no subscription, seat fee, or monthly credit reset; unused credits do not expire.

The tool takes keyword exports through semantic grouping, prioritization, and content-plan handoff. Its pay-per-run credits and downloadable per-keyword assignments are worth considering when working with large lists.

It suits SEO teams, freelance SEOs, content marketers, agencies, founders, and others building topical authority from keyword lists.

beserp Keyword Clustering is a web app for turning keyword exports into topic groups and content recommendations. It is best for SEO and content teams that need to turn research into a publishing plan; its one-time credit packs are a plus for occasional work, but recurring runs still have a per-run cost.

Overview

Rather than stopping at a list of related terms, the tool connects semantic clusters to intent, suggested page types, and priority scores. That makes it useful when the next step is deciding what to publish. It also accepts exports from several major SEO platforms, along with plain CSV files, making it practical for teams whose keyword research is spread across tools.

Key features

Imports and semantic grouping

Batch uploads accept CSV, TSV, and XLSX files. When present, keyword, volume, difficulty, CPC, and intent columns can be mapped automatically. Supported sources include Semrush, Ahrefs, Moz, Google Keyword Planner, Google Search Console, Surfer, Lowfruits, and KeywordsPeopleUse. This range reduces friction when consolidating research, though the input still needs to be an export file.

Clustering uses embeddings to group terms by topical similarity rather than relying only on shared words. That is useful for varied phrasing that belongs to the same subject, where simple word matching can miss connections. The tool can handle a 10,000-keyword export. For very large lists, its recommendation table emphasizes top-priority clusters, while downloadable per-keyword assignments preserve access to the individual mappings.

Recommendations and handoff

Each cluster gets a dominant intent label and a suggested page type, such as a pillar page, listicle, comparison, glossary, landing page, or product page. A 0–100 priority score combines search volume, intent strength, and inverse difficulty, giving teams a way to sort opportunities. Those signals help structure editorial decisions, but the score and page-type suggestions are guidance rather than a replacement for editorial judgment.

Users can export a content calendar as CSV or .ics, or send a recommendation into a paid project as a content brief. The exports suit teams that want to move work into a separate planning system; the brief handoff is useful when the work is already organized in a paid project.

Pricing

There is no subscription, no seat count, and no monthly credit reset. Unused credits do not expire, which suits sporadic projects better than a subscription tied to a monthly allowance. Each Keyword Clustering run costs 43 credits, shown as approximately $0.43; signup credits cover 11 runs. Credits are held when a run begins and spent only when it returns a result, with failed or cancelled runs automatically releasing the hold.

• Free signup credits: free, with 500 credits, no card required, and credits that never expire. This is enough to try several runs, but not a continuing monthly allowance.
• Starter: $10, paid once for 1,000 credits, about 4 Site Audit runs. A small top-up for a short project, it provides less runway than the larger packs.
• Standard: $25, paid once for 2,750 credits plus 250 bonus, about 11 Site Audit runs. This is the middle option for a larger batch without committing to an ongoing plan.
• Pro: $50, paid once for 5,750 credits plus 750 bonus, about 23 Site Audit runs. It offers a bigger balance for sustained project work.
• Agency: $100, paid once for 12,000 credits plus 2,000 bonus, about 48 Site Audit runs. Its larger balance suits heavier workloads, but it is a substantial upfront purchase if runs are infrequent.

The Site Audit run equivalents are the plan comparisons; Keyword Clustering itself costs 43 credits per run. Because the balance does not reset or expire, buyers can spread use over time, but frequent clustering still draws down paid credits.

Platforms

Keyword Clustering is available on the web. Clustering without a project is stateless: uploaded CSV data is processed in memory and not persisted. Saving runs to a project is opt-in, giving privacy-conscious users a way to process a file without saving it to a project.

Who it's for

In-house SEO teams, freelance SEOs, content marketers, agencies, founders, and people building topical authority can use it to turn keyword research into prioritized page ideas. It is a particularly good fit for teams with large exports and occasional planning cycles. It is less suited to users who need a continuing free monthly quota or prefer subscription pricing.

Pros and cons

• Pros: Embedding-based grouping, intent labels, page-type recommendations, and a priority score connect keyword research to editorial decisions.
• Pros: CSV, .ics, and content-brief handoffs give teams more than one route from clusters to planning.
• Pros: One-time credits do not expire, and failed or cancelled runs do not consume them.
• Cons: Each run consumes credits, so frequent use requires ongoing purchases even without a subscription.
• Cons: On very large lists, the recommendation table focuses on top-priority clusters, so users who need a complete view should use the downloadable per-keyword assignments.

Alternatives

Keyword Clustering Tools is the directory’s broader category page for comparing options. Consider Absolute Cluster instead if a free web plan with one project, up to 1,000 keywords, SERP-based clustering, briefs, roadmap, internal linking map, exports, and one article draft fits the job. SEOcluster.ai may suit readers who prefer a monthly free allowance, with its free plan capped at one Search Console site, 1,500 keywords per dataset, three clustering runs a month, two briefs a month, and one content page a month.

Seonio Keyword Clustering is another web option, with a free plan of 10 credits per month and a $7.50 annual Starter plan billed annually at $90. Topvisor is worth considering for readers who want a free XS plan with unlimited projects and keywords, or a $29-per-month S plan. Cluster Army Keyword Clusterizer is a free web alternative.

ContentGecko Keyword Clustering offers a free version for up to 200 keywords and a paid plan at €19.90 a month, which may appeal to users who prefer a monthly plan. Keyword Clustering is a free web option with no subscription fees or premium tiers and up to 10,000 keywords per job, with its daily limit depending on the Keywords Everywhere plan. KW Clusterized is another alternative.

Verdict

Choose beserp Keyword Clustering if you need semantic grouping, editorial recommendations, and usable exports without taking on a subscription. Its flexible, non-expiring credit packs are the clearest reason to choose it; look elsewhere if a free monthly quota or a no-cost high-volume workflow matters more than pay-per-run flexibility.