Customer Sentiment Summarizer

WHAT IT DOES

This tool reads customer feedback from any webpage—reviews, support tickets, feedback forms, social media comments, or selected text—and uses AI to generate a concise sentiment summary. It extracts the feedback text, analyzes the content, and returns the overall sentiment (positive, negative, or neutral), 2-3 key themes or concerns mentioned, and the emotional tone of the feedback. You can choose from three detail levels: Brief (high-level summary), Standard (with key themes), or Detailed (with nuanced observations). The summary appears in the panel with a color-coded sentiment badge (green for positive, red for negative, yellow for neutral) and a sentiment emoji. This tool helps customer support teams, product managers, and business owners understand customer sentiment at a glance without reading through long feedback threads.

WHERE IT RUNS

The script runs on every website and web application you visit. It works with any page containing customer feedback—product review pages, support ticketing systems, feedback forms, social media comments, survey responses, and more. It works regardless of framework—React, Vue, Angular, Svelte, or plain HTML—and extracts content from the page as rendered in the browser.

HOW TO USE

Upon installation, a floating panel appears with the tool interface. Select the feedback text on the page (or navigate to a page containing feedback), choose your preferred detail level (Brief, Standard, or Detailed), and click "Scan & Summarize Sentiment." The tool extracts the text and sends it to the AI bridge. Within seconds, the AI returns a structured sentiment summary. The panel shows the source content preview and the summary with sentiment badge, key themes, and tone. Click "Copy Summary" to copy the complete summary to your clipboard, or "Copy Feedback" to copy the original text.

TECHNICAL MECHANISM: INTELLIGENT FEEDBACK EXTRACTION WITH AI SENTIMENT ANALYSIS

This tool uses a multi-layer approach to extract feedback content. It first checks for user-selected text, then looks for common feedback containers (review, feedback, comment, testimonial, rating), then scans main content areas. The extracted text is cleaned and formatted for the AI. The tool attempts WebMCP (navigator.modelContext) first if available—a W3C proposal for structured tool calls—falling back to the AI backend via GM_xmlhttpRequest. The AI is prompted to return the overall sentiment, key themes, and emotional tone in a structured format. The response is parsed and displayed with color coding and emojis for quick recognition.

THE PANEL

The panel is fully draggable and remembers its position per website using GM_setValue. It automatically snaps to the nearest screen edge when released for a clean workspace. Click the collapse button to minimize it to a small floating bubble that takes minimal space. Click the bubble to expand the panel back. The panel can be resized by dragging any edge or corner. Press the Escape key to close the panel temporarily, and click the extension icon to reopen it.

PLEASE NOTE

This script requires the free BotGentz extension and an active AI subscription. Each sentiment summary counts against your monthly AI usage cap. AI-generated summaries should be reviewed before use—the AI may occasionally misclassify sentiment or miss important themes. As websites frequently update their structure, scripts may need occasional updates to maintain content extraction accuracy. All data processing happens locally except for the AI request—only the extracted feedback text is sent to the AI backend. No browsing history or personal information is transmitted or stored. This tool is designed for customer support assistance and is not an autonomous agent that acts without review.