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Analyze Reddit discussions and Amazon reviews with AI insights linked to supporting comments and reviews. Turn loaded discussions and reviews into structured, traceable AI insights displayed directly on the page. EvidSeek helps founders, product teams, researchers, and marketers analyze online discussions, customer feedback, product reviews, and community conversations. Open a supported page and click Analyze Page. EvidSeek analyzes selected content currently loaded on the page and connects its findings to supporting comments or reviews. KEY FEATURES • Summarize long discussions • Organize customer-review complaints into evidence-backed categories • Analyze product reviews from buyer and seller perspectives • Identify recurring themes and opinions • Surface pain points, unmet needs, and product opportunities • Open supporting comments or reviews directly from each finding • Choose your preferred analysis language in your EvidSeek account settings SUPPORTED ANALYSIS LANGUAGES English, Simplified Chinese, Traditional Chinese, Spanish, French, German, Japanese, Korean, Brazilian Portuguese, Italian, Russian, Arabic, Hindi, and Indonesian. HOW IT WORKS 1. Open a supported page. 2. Click the EvidSeek Analyze Page control. 3. Sign in with Google when prompted. 4. Request an analysis. 5. Review the generated insights and open the supporting evidence. EvidSeek accesses supported page content only when you request an analysis. It sends only the selected content needed to provide the requested result. The extension stores account session information and preferences locally in the browser. It does not persist analysis results or browsing history in browser storage. A Google account is required for hosted analysis. Analyses consume credits; available credits and purchasing options are shown in your EvidSeek account. Content selected for analysis is sent to EvidSeek and an AI inference provider to generate the requested result. See the EvidSeek Privacy Policy for details.
Sep 14, 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.