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N-gram by Go Fish allows SEOs to see the different N-grams used on any website to help with keyword research. Unlock Deeper SEO Insights with Go Fish’s N-gram Analyzer Extension N-gram by Go Fish is a powerful Chrome extension designed for SEO analysts who want to analyze and optimize on-page content. This tool scans any webpage and identifies common two, three, and four-word Ngrams, highlighting them directly on the page for quick analysis. With version 1.1, you can: • Instantly highlight Ngrams on any webpage (including competitors) • Identify the top 5 most frequently used Ngrams • Generate a detailed report of all Ngrams found • Export results as a CSV for further analysis Built for efficiency, the extension seamlessly integrates into your workflow, helping you uncover content patterns, keyword overuse, and optimization opportunities in seconds. Go Fish Digital is leading ecommerce marketing agency specializing in SEO, PPC, and Social marketing services. Compliance & Licensing This extension leverages Compromise.js and compromise plugin Stat for natural language processing. Compromise.js is an open-source library developed by Spencer Kelly and contributors, licensed under the MIT License. The full license can be viewed at: https://github.com/spencermountain/compromise/blob/master/LICENSE https://github.com/spencermountain/compromise/tree/master/plugins/stats We acknowledge and comply with the license terms by referencing it here. Boost your SEO content analysis with N-gram by Go Fish: your on-page keyword pattern recognition tool.
Mar 27, 2025
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.