Keyword Research
TL;DR
Keyword research finds the phrases and questions customers actually type into Google, so each page answers one real search need.
Explain Simply
Before you open a café, you stand at the corner and listen to what people ask: 'where is good coffee?', 'which place has wifi?'. Keyword research is listening to those questions — on Google.
Keyword research is the first step of any SEO content plan: find a seed keyword, expand it into long-tail variants and questions, then assign each group to one page.
Free sources: Google and YouTube autocomplete show what people type next after a keyword. Adding question templates ('how to …', 'what is …', 'best …') surfaces the questions that AI Overviews and 'People also ask' tend to answer.
Limits: autocomplete does not tell you search volume. For volume you need Google Keyword Planner or the site's own Search Console data.
From ideas to pages: group keywords with the same search intent onto one page; use questions as H2 headings or FAQ items; put the main keyword in the title, H1 and first paragraph (see Keyword Optimization).
⚡Why It Matters
A page written for the question people really ask ranks and gets cited by AI more easily than a page written from a guess. Long-tail questions usually face less competition than short head terms.
🔍How CiteStat Checks
CiteStat's /keywords tool pulls Google or YouTube autocomplete for the seed, 10 question templates (Vietnamese or English) and optionally a–z, merges and de-duplicates the results and flags question-style suggestions. Rate: 1 query per second, cached for 7 days.
CiteStat Score Impact
Not scored — this is a content-planning tool, not a check in the report.
Fix Difficulty
Editor: Easy | Developer: N/A | AI Agent: Easy (MCP seo_keywords)