# Kimi: workflows, use cases, and stacks

> Chinese AI assistant strong at long-context reading, document analysis, and research summaries.

- Canonical: https://gptnavi.com/tools/kimi
- Official website: https://kimi.moonshot.cn
- Category: AI assistant
- Pricing model: Freemium
- Has free plan: Yes
- Last materially updated: 2026-08-19
- Best for: Chinese teams, Researchers, Founders
- Tags: chinese, long-context, research

## Quick answer

Kimi is a freemium ai assistant option best suited to Chinese teams, Researchers, Founders. In the GPTNavi catalog it connects to 7 workflows and 10 compatible stacks.

## Workflows using Kimi

- [Turn research notes into a structured knowledge base](https://gptnavi.com/workflows/research-notes-to-knowledge-base) — Convert messy research notes, articles, interview snippets, and links into a reusable knowledge base with tags and next actions.
- [Create a landing page from customer interviews](https://gptnavi.com/workflows/customer-interviews-to-landing-page) — Turn interview notes, customer language, and objections into a landing page structure with copy blocks and proof points.
- [Generate local service SEO pages from one service offer](https://gptnavi.com/workflows/local-service-seo-pages-from-one-offer) — Create location-specific service pages with unique angles, FAQs, proof, and local search intent.
- [Turn customer reviews into Xiaohongshu-style posts](https://gptnavi.com/workflows/customer-reviews-to-xiaohongshu-posts) — Transform reviews, buyer questions, and product benefits into Xiaohongshu-style notes with titles, image ideas, and comment prompts.
- [Turn a customer case into a WeChat article and sales one-pager](https://gptnavi.com/workflows/customer-case-to-wechat-article-and-sales-one-pager) — Convert a customer success story into a WeChat article, sales one-pager, objection handling notes, and follow-up message.
- [Analyze private traffic conversations into customer segments](https://gptnavi.com/workflows/private-traffic-conversations-to-customer-segments) — Turn WeChat or community conversations into customer segments, objections, content topics, and follow-up scripts.
- [Tender monitoring workflow for vendor and policy updates](https://gptnavi.com/workflows/tender-and-vendor-page-monitoring) — Track important public pages for updates, summarize what changed, and route action items to the right owner.

## Compatible stacks

- [B2B Sales AI Stack](https://gptnavi.com/stacks/b2b-sales-ai-stack) — A focused stack for finding better accounts, enriching lead lists, personalizing outbound, summarizing sales calls, and keeping CRM records clean.
- [Performance Marketer AI Stack](https://gptnavi.com/stacks/performance-marketer-ai-stack) — A stack for turning customer insights into ad angles, creative variants, landing page copy, and performance learning loops.
- [Local Service Business AI Stack](https://gptnavi.com/stacks/local-service-business-ai-stack) — A practical stack for local businesses that need more leads, faster intake, better proposals, local SEO pages, and repeatable customer follow-up.
- [AI Video Production Stack](https://gptnavi.com/stacks/ai-video-production-stack) — A focused video stack for turning ideas, product pages, scripts, and long-form content into AI-generated clips, localized videos, and social-ready edits.
- [China Social Commerce AI Stack](https://gptnavi.com/stacks/china-social-commerce-ai-stack) — A localized stack for Xiaohongshu, WeChat, private traffic, short videos, review mining, and social commerce operations.
- [Agency and Consultant AI Stack](https://gptnavi.com/stacks/agency-consultant-ai-stack) — A stack for consultants and agencies to create proposals, case studies, client reports, SOPs, webinars, and follow-up workflows faster.
- [Team AI Adoption Stack](https://gptnavi.com/stacks/team-ai-adoption-stack) — A practical stack for small teams that want to adopt AI safely, document workflows, train employees, and build internal assistants.
- [Research and Knowledge Stack](https://gptnavi.com/stacks/research-and-knowledge-stack) — A lightweight stack for collecting sources, highlighting useful evidence, summarizing patterns, and turning research into decisions.
- [Research Evidence Stack](https://gptnavi.com/stacks/research-evidence-stack) — A stack for turning papers, sources, highlights, and research notes into evidence-backed briefs and decisions.
- [Customer Support Intelligence Stack](https://gptnavi.com/stacks/customer-support-intelligence-stack) — A stack for turning tickets, chats, help docs, and product feedback into better support answers and product backlog items.

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