How to Research Search Terms | Reviewing User Demand and Selection Tips

When creating an SEO article or LP, the first stumbling block is often grasping "what words users are actually searching with." If you decide on keywords based only on the creator's imagination, they drift from the actual search terms, and traffic does not gather as hoped. This article explains how to research and select keywords by gathering the search terms users actually type in, reviewing demand, and reflecting it in your articles.

Why research "actual search terms"

Search terms are the verbalization of what users want to know or what troubles them. Gathering the words actually being searched is nothing less than reading user demand directly. The words a creator assumes will be searched and the words users actually enter often diverge. First, extract search terms close to real data and grasp the clusters of demand: that is the starting point.

Note that how to select keywords itself, and how to read search volume, are covered separately in detail. This article focuses on gathering and reviewing which search terms are actually in use.

Six ways to gather users' search terms

1. Check suggested keywords

When you start typing a keyword into the search box, the search engine predicts and displays input candidates. These are suggested keywords (autocomplete in Google). Because they are proposed based on users' search frequency and relevance to the starting keyword, they can be used as a list of words with high search demand. They are close to the words users are actually searching, making them an effective entry point for grasping demand.

2. Look at related keywords (related searches)

The "related searches" shown at the bottom of the search results page and elsewhere also help grasp demand. Whereas suggestions reflect users' search tendencies, related keywords show words highly relevant to the target phrase, and the two work by different mechanisms. You can grasp the breadth of what a user with only introductory knowledge of a topic wants to know next.

3. Use bulk suggestion-retrieval tools

Researching suggestions and related keywords one by one is inefficient. Using a bulk-retrieval tool such as Rakko Keyword, you can extract suggestions for a starting keyword all at once, and check candidates in Japanese-syllabary and alphabetical order in one go. This prevents oversights from manual work and lets you grasp the whole picture of demand in a short time.

4. Pick up raw voices from Q&A sites and social media

Q&A sites such as Yahoo! Chiebukuro, and social media posts, contain many "raw voices" in which users verbalize their troubles as they are. Much of it is colloquial expression not formatted as search terms, but it is precisely there that latent search intent appears. It is worth a look as a hint of demand that tools cannot fully capture.

5. See actual traffic queries in Search Console

If you already operate a site, in the Search performance of Google Search Console you can check which search terms are actually bringing traffic or impressions. This is not conjecture but real data. Queries that have impressions but are not clicked are areas where demand exists but is not fully met, and they become hints for the next search terms to target.

6. Use each platform's suggestions too

Suggestions are not displayed only on Google. Search tendencies differ by platform, such as Yahoo!, Bing, YouTube, and Amazon. Depending on the theme you handle, looking at YouTube suggestions for video demand or Amazon suggestions for purchase demand lets you grasp the search terms and demand specific to that channel.

Tips for reviewing demand from gathered search terms

Search terms cannot be used just by gathering them. You need a perspective that organizes them by cluster of demand and reflects them in your articles.

• Group by intent: gather search terms with the same trouble or purpose and treat them as a cluster of demand.
• Bundle notational variants and paraphrases: treat synonymous search terms as a single demand, and do not force them into separate articles.
• Keep one topic per page: split different search intents into separate pages to avoid keyword overlap (cannibalization).
• Prioritize real data: value real data from suggestions and Search Console over imagined search terms.
• Review continuously: because search terms change, gather them again periodically and follow shifts in demand.

Select by demand and fit with your business

The more searches a search term has, the more attractive it looks, but selecting by numbers alone is dangerous. Also judge whether the search intent behind that term fits your company's services and the themes you can cover, and whether it is likely to lead to inquiries or results. Because displayed figures differ by tool, treat them only as a guide, and the tip is to prioritize search terms where demand and your strengths overlap.

Summary

The essence of researching search terms is to gather the words users are actually using and read demand from them. Combining suggestions, related keywords, bulk-retrieval tools, Q&A sites, Search Console, and each platform's suggestions lets you grasp demand based on real data rather than imagination. By organizing gathered search terms by intent and selecting by fit with your business, let's connect this to creating content that meets user demand.