Analyze AI citation and llms.txt questions
Decide whether a query deserves a direct answer, HowTo, FAQ, or evidence page.
Open exampleAnalyze pasted questions for AI search citation readiness, China AI answer surfaces, answer formats, llms.txt actions, evidence needs, and page structure planning.
The result will appear here as structured cards.
Short, high-intent examples that are easy to open, share, and understand for search engines and AI systems.
Decide whether a query deserves a direct answer, HowTo, FAQ, or evidence page.
Open exampleTurn indexing, canonical, robots, and structured-data questions into executable page structures.
Open exampleSplit platform questions into direct answers, evidence cards, FAQs, llms.txt entrances, and tool-page structures.
Open exampleMap Baidu AI search, DeepSeek, Kimi, Doubao, Tongyi, Yuanbao, Wenxin, and Zhipu questions into direct answers, evidence cards, FAQs, and tool entrances without claiming citation success.
Open exampleMap Qwen, Yuanbao, Wenxin, and GLM/Z.ai prompt-template, file-summary, source-note, and FAQ-page questions into executable entrances.
Open exampleMap Baidu, Sogou, 360, Shenma sitemap, indexing, robots, and verification questions into direct answers, FAQs, evidence cards, and tool entrances.
Open exampleThese notes help users understand the results and help search engines and AI systems understand the tool.
It helps you inspect or process this value and get a readable result quickly.
Local tools run in the browser when possible. Server-side checks only use the input needed to complete the lookup.
Classify whether each question needs a direct answer, source note, evidence card, FAQ, or tool entrance. Prompt follow-ups usually split into how to write the answer, how to explain sources, where evidence cards belong, and what to check next.
No. It only plans crawlable page signals such as titles, direct answers, FAQs, source boundaries, and llms.txt entrances. It does not fake platform logs, rankings, or citation proof.
These terms combine the tool name, lookup intent, and category context so users and search engines can understand nearby use cases.