Google, Yandex and Wordstat Keyword Suggestion Tool

Collect Google and Yandex autocomplete suggestions plus popular and related Wordstat phrases.

Request allowance 75 of 75 requests remaining.
Enter one mask per line. Duplicate masks and generated requests are removed before limits are charged.
Alphabet expansion applies to Google and Yandex. Wordstat always receives the original mask.
Creating task…

Build a broader semantic core from real search suggestions The ITSEO keyword suggestion tool turns a short list of seed phrases into a structured set of search queries. Add masks manually or upload a TXT, CSV, or TSV file, then collect current autocomplete ideas from Google and Yandex together with popular and associated Wordstat phrases. The original mask, generated request, source, result type, and available frequency stay attached to every row, making the data ready for clustering and content planning. Why combine Google, Yandex, and Wordstat? Each source reveals a different part of search demand. Autocomplete helps uncover natural wording, long-tail queries, modifiers, questions, products, and local intent. Wordstat adds popular phrases, related demand, and frequency where the provider returns it. Comparing all three sources helps SEO specialists discover gaps that a single database can miss. Select independent Google and Yandex regions for more relevant local suggestions. Expand masks with Russian or Latin alphabet suffixes to find additional long-tail variants. Remove duplicate masks and duplicate generated requests before limits are charged. Download the complete result set as a TSV file for Excel, Google Sheets, clustering, or keyword mapping. How to collect useful keyword ideas Start with concise commercial, informational, product, or category masks. Choose only the sources required for the task, set the relevant regions, and enable alphabet expansion when you need maximum coverage. The number on the start button shows the planned paid API requests: one limit equals one request. After processing, review the source and query columns, remove irrelevant intent, group similar phrases, and map the final clusters to landing pages or editorial content.

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