AIO Extractor

Stores AIO highlights with root keywords to structure outlines, plan content, and analyze SERPs via AI Overviews. Side Panel UI.

Your side panel toolkit for SERP research: Designed for keyword discovery, question mining, and semantic mapping. 🔍 Search Tools 🔸 Open Keyword-Chips Opens Google’s topic chips (e.g., “Nike”, “Adidas”) as new search tabs for quick topical expansion. 🔸 Get AI-Overview Extracts highlighted keywords from Google’s AI Overview box and saves them for later analysis (e.g. Google Sheets). 🔸 Open PAA Expands all People also ask question. Automatically revealing related questions and answers. 🔸 Open Autosuggest Recursively gathers Google Autosuggest ideas and saves them with semantic hierarchy. 🔸 Visualize Map Displays the collected Autosuggest data as an interactive semantic map. ⚠️ Works only after running “Open Autosuggest”. 📊 Data Tools 📥 Extract & Store Captures visible AI Overview, PAA, or on-page keywords for later use. 📋 Copy to Clipboard Copies stored data in tab-separated format for Sheets. Headers (Autosuggest mode): Autosuggest Term | Depth 1 | Depth 2 | Depth 3 | Depth Level | Semantic-Line 🗑️ Clear Storage Deletes all saved data from the extension’s local storage. 🚀 Step-by-step Use Cases 1️⃣ Fast topic scan → shortlist angles Open Keyword-Chips: Explore chips like “Nike”, “Adidas”, “running shoes”. Get AI-Overview: Capture highlighted “must-cover” concepts. Copy to Clipboard: Paste into Sheets/Docs for outlining and idea grouping. 🕒 When: Early ideation; identifying promising brand or feature angles. 2️⃣ Outline a buyer’s guide → map questions → check coverage Open Keyword-Chips: Find adjacent angles (e.g., “waterproof”, “sale”, “model”). Get AI-Overview: Extract key talking points → use as H2/H3s. Open Autosuggest: Mine long-tails; store semantic hierarchies. Visualize Map: Review structure for content gaps or overlap. Copy to Clipboard: Filter by depth to finalize your outline. 🕒 When: Building a comprehensive landing page that covers full intent clusters. 3️⃣ Quick-win cluster for supporting articles Get AI-Overview: Identify core pillar concepts. Open Autosuggest: Gather long-tails (“best X for Y”, “X vs Y”). Open Keyword-Chips (optional): Surface short-post modifiers. Copy to Clipboard: Sort in Sheets by depth → Depth-1: Pillar sections Depth-2/3: Supporting posts / FAQs 🕒 When: Creating internal-link clusters around a main topic. 💡 Pro Tips 🎯 Depth ≈ Intent specificity: Autosuggest terms map to exact questions → ideal for FAQs. ✍️ Title shortcut: Convert root → parent → child into “How to [child] for [parent] ([root])”. 🔎 Chip validation: If a chip exists, there’s enough interest for a dedicated section. 🌐 Visual sanity check: Use Visualize Map to confirm full topic coverage.