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Analyze Google SERP intent structure: classify page types, extract title patterns, and get content strategy recommendations. Stop guessing what type of content to create. SERP Intent Snapshot analyzes Google search results in one click and tells you exactly what's ranking, why it's ranking, and what you should build to compete. HOW IT WORKS 1. Search any keyword on Google 2. Click the SERP Intent Snapshot icon — a side panel opens next to your search results 3. Get a complete intent breakdown in seconds: page type classification, title pattern analysis, SERP feature detection, and a content strategy recommendation The analysis runs entirely in your browser. No data is sent to any server. No API key required. No account needed. FEATURES Page Type Classification Every organic result in the top 10 is classified into one of six categories: - Article — blog posts, guides, how-to content, listicles - Product — individual product pages, pricing pages, SaaS landing pages - Collection — category pages, comparison pages, roundup pages with multiple products - Tool — online calculators, generators, checkers, interactive utilities - Video — YouTube videos, Vimeo embeds - Forum — Reddit threads, Quora answers, Stack Overflow discussions, community posts Classification uses a combination of URL structure analysis and title pattern matching. For example, a URL containing "/blog/" or "/guide/" with a title starting with "How to" is classified as Article, while a URL on reddit.com is classified as Forum regardless of the title.
Jun 12, 2026
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.