You use ChatGPT for brainstorming, Claude for writing, DeepSeek for coding, and Gemini for research. Each platform holds hundreds of valuable conversations — but when you need to find that one specific answer, you have to search each platform separately, and most of them don't even support full-text search. In this guide, you'll learn exactly how to search across all your AI chats from a single interface, using three powerful methods.

The Problem: Your AI Conversations Are Siloed

The average AI user in 2026 works with 2–4 different AI platforms daily. Each platform stores your conversations in its own isolated system, with no way to search across them. Here's the current state of native search on each platform:

• ChatGPT — Sidebar search matches conversation titlesonly. If your chat is titled "New Chat," it's invisible to search. No content search whatsoever.
• Claude — A scrollable conversation list with no search feature at all. You can browse by date only.
• DeepSeek — Minimal conversation browsing. No search, no filtering, no tags.
• Gemini — Basic activity timeline with limited filtering. Full-text search is not available.
• Kimi — Simple conversation list. No meaningful search capabilities.

This creates real problems. You remember having a brilliant conversation about "PostgreSQL indexing strategies" — but which AI did you ask? Without cross-platform search, you're forced to manually scroll through hundreds of conversations on each platform, hoping to spot the right one. That's not just frustrating; it's a massive productivity drain.

The Solution: 3 Ways to Search Across All AI Chats

AI Memory (aimemory.pro) is the only tool that unifies all your AI conversations into a single searchable database. It offers three methods to import and search your conversations — pick the one that fits your workflow, or combine all three for maximum coverage.

Method 1: Chrome Extension (Real-Time Auto-Capture)

The Chrome extension is the simplest and most powerful way to build your searchable AI conversation library. Once installed, it works completely passively:

1. Install the AI Memory Chrome extension from aimemory.pro
2. Chat normally on ChatGPT, Claude, DeepSeek, Gemini, or Kimi
3. Auto-capture — the extension detects conversation pages and saves new messages to your local database in real time
4. Search — open the AI Memory dashboard and type any keyword to search across all captured conversations

Why it works best: No manual effort required. As you continue using AI platforms daily, your searchable library grows automatically. Every new conversation is indexed with SQLite FTS5 — the same full-text search engine used by Apple Spotlight — so results appear in milliseconds.

Method 2: Web Upload (Bulk Import of Exported Data)

Already have years of AI conversations you want to search? The web upload tool lets you bulk import your existing conversation history:

1. Export your conversations from each platform (ChatGPT: Settings → Data Export; Claude: Settings → Data; Gemini: Google Takeout)
2. Upload the exported files (JSON, HTML, or ZIP) to the AI Memory web dashboard at aimemory.pro
3. AI Memory parses the platform-specific formats and indexes every message
4. Search instantly — your entire conversation history is now full-text searchable

Best for:Backfilling your conversation history. If you've been using ChatGPT since 2023 and Claude since 2024, you can import all those conversations in minutes and search them immediately. The web upload supports all major export formats from every supported platform.

Method 3: MCP Server (Developer Workflows)

For developers using AI tools like Claude Desktop, Cursor, Windsurf, or Cline, the MCP (Model Context Protocol) server integration brings conversation search directly into your coding workflow:

1. Configure the AI Memory MCP server in your MCP client settings
2. Search your conversation history directly from within Claude Desktop, Cursor, or any MCP-compatible tool
3. Inject context — pull relevant past conversations into your current AI session as context

Best for:Developers who want to reference past AI coding sessions without leaving their IDE. Ask Claude Desktop "What was the database migration solution I discussed last week?" and it can search your AI Memory database to find the answer.

How to Search Across ChatGPT, Claude, DeepSeek, and Gemini

Regardless of which import method you use, searching across all your AI chats works the same way:

1. Open the AI Memory dashboard — accessible via the browser extension popup, the web app, or your MCP client
2. Type your search query — enter any keyword, phrase, or topic. Use quotes for exact phrase matching ("memory leak in production")
3. See results from all platforms — matching conversations from ChatGPT, Claude, DeepSeek, Gemini, and Kimi appear in a single results list, ranked by relevance
4. Click to expand — view the full conversation context around each match
5. Inject into a new chat — found what you need? Use the memory injection feature to bring that conversation as context into your current AI session

The FTS5 full-text search indexes every word in every conversation, including code snippets, technical terms, and multi-language content. This means you can search for specific function names, error messages, or even partial phrases and get instant, relevant results.

Comparison: Native Platform Search vs. Unified Search

Why Native Platform Search Falls Short

Each AI platform is incentivized to keep you within its ecosystem. That's why their search features are limited to their own conversations — and why they're often incomplete even within their own platform:

• No content indexing — ChatGPT only searches titles, not the actual messages where the valuable information lives
• No cross-platform awareness — You can't search across platforms because they don't know about each other
• No export-friendly search — Even when you export data, you need technical skills to parse and search JSON/HTML files
• No context injection — Finding a past conversation is useless if you can't easily bring it into your current session

AI Memory exists to solve exactly this gap. It's a universal search layer that sits on top of all your AI platforms, giving you the unified, fast, content-aware search that no single platform provides.

Pro Tips for Searching Across AI Chats

• Use specific, technical terms — Instead of "code," search for "useCallback dependency array" or "Prisma upsert"
• Search error messages — Paste a stack trace or error message to find the conversation where you solved it
• Use exact phrases — Wrap multi-word searches in quotes: "database migration rollback"
• Combine all three import methods — Use the Chrome extension for ongoing capture, web upload for history, and MCP for developer workflows
• Use memory injection — When you find a relevant past conversation, inject it into your current AI chat to continue where you left off
• Search by platform — If you remember which AI you used, filter results by platform to narrow down quickly

Getting Started: Search Across All Your AI Chats Today

Setting up unified search takes less than 5 minutes:

1. Visit aimemory.pro and create a free account
2. Install the Chrome extension for real-time auto-capture
3. Upload any existing exports you have via the web dashboard
4. Start searching — type any keyword and see results from all your AI platforms instantly

No more scrolling through conversation lists. No more opening five tabs to search five platforms. One search bar, all your AI conversations, instant results.