When a user only has a vague one-line request, the bottleneck is usually prompt structure, not model power. Start by clarifying goal, audience, constraints, output format, tone, forbidden claims, and delivery shape. Then decide whether the task needs a writing prompt, coding prompt, PRD prompt, title prompt, image-generation prompt, or a content-planning prompt for China AI search and AI/GEO pages. Chakan only provides public, compliant, reusable prompt planning. It does not call the target models or promise matching outputs across platforms.
AI prompt / China AI / content planning
AI prompt templates for writing, image, coding, and China AI planning
A lookup path for ChatGPT, Claude, Gemini, DeepSeek, Kimi, Doubao, Tongyi/Qwen, Yuanbao, Wenxin, and Z.ai/GLM prompt templates for writing, product docs, title generation, coding, text-to-image, and China AI query planning.
AI prompt generatorChatGPT prompt templateDeepSeek prompt templateKimi prompt examplesDoubao prompt ideasTongyi Qwen prompt templateYuanbao prompt ideasWenxin prompt templateGLM prompt templateimage prompt generatorproduct requirements promptChina AI prompt planningAI GEO content prompt
Answer-source pages need structure before platform names
Many China AI prompt queries are really asking how to shape a page so an answer system can read it: direct answer first, source context second, workflow steps third, FAQ fourth, and risk boundaries throughout. Platform names such as DeepSeek, Kimi, Doubao, Tongyi/Qwen, Yuanbao, Wenxin, and Z.ai/GLM are query context, not proof of inclusion or citation.
- Must Do: keep public prompt examples synthetic and non-identifying.
- Must Do: map platform-name queries into page structure, not unsupported success claims.
- Should Do: use public result cards for copyable prompts and FAQ/topic pages for explanation-heavy variants.
Clean claims before scaling prompt pages
Prompt keyword batches often mix templates, how-to queries, free modifiers, platform names, and exaggerated outcomes. Classify the page type first, then remove guarantee language such as guaranteed indexing, guaranteed citations, official partnership, or fastest results before publishing example results or topic copy.
- Must Do: route copyable prompt demand into tools and safe result URLs.
- Should Do: route how-to and platform-difference demand into FAQs and topic sections.
- Later: avoid publishing platform-success stories without external evidence.
AI prompt topics also need answer-source QA
A prompt topic should not stop at templates. Before publishing, verify title/H1 alignment, heading outline, internal links, and keyword coverage so the page still reads like one coherent answer-source workflow. That supports global SEO/GEO, China search readability, and China AI answer-system interpretation without turning QA into unsupported citation claims.
- Must Do: use title, heading, link, and keyword checks as AI prompt answer-source QA before release.
- Should Do: connect prompt pages to FAQs, evidence-card explanations, and China AI topic entrances instead of leaving them as isolated template lists.
- Later: do not translate page QA into ranking, indexing, or citation guarantees.
Common lookup scenarios
Expand a product idea into a PRD, task breakdown, and acceptance-criteria prompt
Turn a social topic into title, summary, CTA, and multi-channel copy prompts
Turn SEO, website-check, or developer topics into Midjourney, FLUX, or Tongyi image prompts
Map DeepSeek, Kimi, Doubao, Tongyi/Qwen, Yuanbao, Wenxin, and Z.ai/GLM questions into topics, FAQs, or tool-page structures
Run answer-source QA on an AI prompt topic by checking title alignment, heading structure, internal links, and keyword coverage
Review prompt copy for banned claims, fake guarantees, or unsafe marketing wording before publishing
Recommended workflow
- Start with the AI prompt example tool to expand one short need into role, goal, constraints, and output format
- Use question, intent, and modifier tools to decide whether the task fits writing, coding, image, or China AI/GEO page-planning prompts
- Use topic clustering and AI/GEO question analysis to map platform terms into FAQs, direct answers, topic pages, or tool entrances
- Before publishing, run title, heading, internal-link, and keyword-coverage checks as answer-source QA on the prompt topic page
- Run banned-word checks before publishing any public prompt examples or landing-page copy
- Do not expose real client briefs, unreleased products, budgets, account data, or internal roadmaps in public result URLs, sitemaps, or llms.txt
Related tool entries
A lookup path for ChatGPT, Claude, Gemini, DeepSeek, Kimi, Doubao, Tongyi/Qwen, Yuanbao, Wenxin, and Z.ai/GLM prompt templates for writing, product docs, title generation, coding, text-to-image, and China AI query planning.
AI prompt case lookup
Turn a simple need into reusable prompt examples for ChatGPT, Midjourney, Stable Diffusion, FLUX, writing, design, and development.
LookupToolChakanAI Prompt Token 预算查看
用结构化输入查看 Prompt 长度、近似 token 预算、输出预算、答案来源 Prompt token 和证据卡精简建议，适合 DeepSeek、Kimi、豆包、通义、元宝、文心、GLM 等公开页面型 AI 工作流 and answer-source prompt token planning.
PromptToken预算Keyword question extractor
Extract how, what, why, pricing, troubleshooting, and AI-search citation questions from pasted keyword lists so you can plan FAQs, direct answers, and AI/GEO content.
LookupToolChakanSearch intent cluster
Group pasted keywords into informational, troubleshooting, comparison, transactional, navigational, local-service, China-search, and AI/GEO intent buckets for page-shape planning.
LookupToolChakanKeyword modifier cluster
Cluster price, tutorial, template, comparison, local, platform, audience, freshness, China-search, and AI/GEO modifiers from pasted keywords to plan long-tail pages.
LookupToolChakanKeyword topic cluster
Cluster pasted keywords by recurring core topic, shared root phrase, AI/GEO questions, and variant directions so you can see which topic families deserve tool pages, FAQs, llms.txt entries, or hubs first.
LookupToolChakanAI/GEO question intent analyzer
Analyze pasted questions for AI search citation readiness, China AI answer surfaces, answer formats, llms.txt actions, evidence needs, and page structure planning.
LookupToolChakanBanned and risky claim checker
Scan pasted ad copy, landing-page drafts, and product claims locally for absolute, guaranteed, ranking, authority, and earnings-risk phrases before publishing.
LookupToolChakanTitle, H1, and meta consistency checker
Check whether a page title, H1, meta description, and Open Graph copy describe the same topic, with length, mismatch, and AI-summary clarity warnings.
LookupToolChakanHeading outline checker
Inspect a page's H1-H6 outline, skipped heading levels, repeated headings, empty headings, and main-content heading distribution.
LookupToolChakanInternal link analyzer
Inspect one page's internal links, anchor-text quality, repeated targets, nofollow usage, and navigation versus main-content link mix for search and AI crawler discovery.
LookupToolChakanWebpage keyword density checker
Check one public webpage for keyword density, title coverage, first-paragraph coverage, and visible-text topic concentration.
LookupToolChakanFAQ
When a user only has a vague one-line request, the bottleneck is usually prompt structure, not model power. Start by clarifying goal, audience, constraints, output format, tone, forbidden claims, and delivery shape. Then decide whether the task needs a writing prompt, coding prompt, PRD prompt, title prompt, image-generation prompt, or a content-planning prompt for China AI search and AI/GEO pages. Chakan only provides public, compliant, reusable prompt planning. It does not call the target models or promise matching outputs across platforms.
Does Chakan call DeepSeek, Kimi, Doubao, Tongyi, Yuanbao, or Wenxin directly?
No. This topic is for prompt structure and public page planning only. It does not proxy model calls or guarantee the same output across platforms.
Why include China AI platform wording in the topic?
Because mainstream China AI products are now visible user-entry surfaces, and real queries often include platform names directly. The safe move is to provide crawlable direct answers, prompt examples, FAQs, and page-structure guidance without faking platform data or claiming citations.
Should real commercial prompts become public examples?
No. Public examples should stay short, generic, and non-identifying. Real briefs, budgets, customer names, and private launch plans should remain out of public result pages.
Continue with these topics
Searchable topic pages that group related tools, answer specific lookup intents, and make Chakan easier for search engines and AI systems to understand.
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A local-first planning topic that connects TDEE, BMR, BMI, healthy-weight range, sleep-cycle timing, and daily water-intake estimates without medical claims.
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A safe formula-based topic for stock profit, dividend yield, savings-goal backsolving, monthly compounding, retirement gaps, inflation-adjusted purchasing power, ROI, CAGR, and target-price planning.
Open topicChina AI search answer-source and citation readiness checklist
A public-page readiness checklist for China AI search and answer systems: source visibility, title alignment, structured data, FAQ, internal links, keyword coverage, robots, sitemap, llms.txt, and log evidence without citation guarantees.
Open topic