Keyword Analysis: pick the right keyword with data

What is a keyword?

A keyword is a search phrase that lets content creators and business owners plan which page should appear for which search. It can be a single word or a full question: a short term such as "shoes" is a keyword, and so is a question such as "how to clean white sneakers". Its value is measured with four metrics: monthly search volume, difficulty score, CPC (cost per click in ads) and search intent; the tool on this page reports all four for up to 5 keywords in one query. The concept goes back to the meta keywords tag, a list of words written into the page code, but in September 2009 Google announced that it does not use that tag in web ranking; since then keyword work has been about planning pages, not filling in tags.

An example makes the distinction clear: "wedding dress" is a short, general head term, while "wedding dress rental ankara" is a long-tail phrase with a clear intent. Your candidate list should include both, because head terms bring brand visibility and long-tail phrases bring visitors who are close to buying. You decide which to work on first by looking at the difficulty and volume columns in the table.

How do you analyze keywords?

Keyword research in this tool takes three steps: enter the keywords, read the table, narrow the list. Each query handles up to 5 keywords, and that limit makes comparison easier: a 25-keyword candidate list is checked in five queries of five, and each group is compared on its own.

1. Enter keywords separated by commas or one per line; a mixed group with product names, service areas and customer questions gives the most ideas in the first round.
2. Run the query with the Analyze button; the table shows monthly volume, difficulty, CPC and intent for each keyword in one row.
3. Filter the table by the balance of volume and difficulty: keywords that have volume, whose difficulty does not exceed your site's range and whose intent fits your page type go on the target list.

Your remaining queries are shown below the form after each query; a free membership raises the daily limit. If you query the same keyword set again within 24 hours, the answer comes from the cache and the result does not change. If the limit gets in the way of planning, sort the list by priority and put high-value commercial keywords in the first queries.

How should you read search volume?

Search volume shows how many times a keyword is searched on Google Türkiye in an average month; the value in the table is the average of the last 12 months. The number measures demand, not your chance of winning it, so volume is read together with difficulty and intent, and thinking in bands is enough to decide:

A long-tail strategy relies on the 10-100 band in the table: queries that look small one by one add up to a large pool of demand, and competition is low. For a newly launched site, the efficient order is to build a ranking history in this band first, then move up to the main keywords for the same topic in the 100-1,000 band. Content creators gain clarity of intent as well: it is unclear what content fits "coffee machine", but for "how to clean a drip coffee machine" you know from the start what to write.

What does keyword difficulty measure?

Keyword difficulty scores the competition for reaching the top 10 organic results for a keyword on a 0-100 scale. It is calculated from the authority and link profiles of the sites ranking on page one; in this tool 0-30 is labeled easy, 31-60 medium and 61-100 hard. For a new site or one with a weak link profile, work starts in the 0-30 band; rankings won there are the stepping stone to higher bands.

Knowing what the score does not measure prevents false expectations. Difficulty is derived from link data; it ignores content depth, brand awareness and results page features such as ads, maps and videos. So even for a low-scoring keyword, search it on Google and check page one yourself: if the top 10 is full of well-known brands and official sources, it is hard to break in even when the score looks low. Use the score as a comparison, not an absolute threshold; working on the lower-scoring keywords in a list first builds a ranking history faster.

How does CPC data show commercial value?

CPC (cost per click) is the average price advertisers pay per click for that keyword in the Google Ads auction; the table shows it in dollars. A high CPC signals that the search really makes money, because no advertiser keeps paying for clicks that do not convert. Organic rankings reach the same visitor without paying that price: for example, 500 organic clicks a month on a keyword with a $2 CPC is worth roughly $1,000 in ad spend.

An empty CPC field reads the other way: informational queries have few advertisers, so no cost data exists, not because the keyword is worthless. For content creators these queries bring subscribers and repeat visits; for businesses the practical rule is to assign high-CPC keywords to service and product pages, and low-CPC keywords with a clear intent to the blog plan.

What are the types of search intent?

Search intent shows what the user wants to do with a query; it drives conversions more directly than volume. The tool reports one of four classes:

• Informational: queries aimed at learning; they match guides, blog posts and videos ("how to clean an awning").
• Navigational: the user wants to reach a specific site or dashboard ("youtube studio login").
• Commercial: the comparison stage before buying ("best robot vacuum"); matches category and comparison pages.
• Transactional: the intent to act is clear ("robot vacuum prices"); this is the territory of product, pricing and service pages.

When intent and page type do not match, you may rank but you will not sell; serving a product page for an informational query is the most common example. That is why businesses prioritize intent over volume: a transactional query searched 100 times a month leads to revenue faster than an informational query searched 1,000 times. For content creators, informational queries are the main field; commercial queries are targeted with separate pages on the same site.

What are keyword match types?

Keyword match types are rules in Google Ads campaigns that decide which searches trigger an ad; they are not an organic metric, but because ads and SEO often share the same keyword list, they are part of the analysis. Google Ads help documentation defines three types:

• Broad match: the default type, with no symbol; the ad can also show on searches related to the keyword.
• Phrase match: the keyword goes in quotes ("tennis shoes"); the ad shows on searches that include the meaning of the keyword.
• Exact match: the keyword goes in square brackets ([tennis shoes]); the ad only shows on searches with the same meaning.

These rules do not carry over to organic rankings: there is no way to narrow coverage with quotes or brackets, and Google evaluates a page for all close variants. That is why SEO targets topic clusters, not single keywords; choosing a match type is mainly about protecting the ad budget. Google retired the + notation known as broad match modifier in 2021; tips using + in older guides no longer apply in today's Google Ads interface.

How is this tool different from Google Keyword Planner?

Google Keyword Planner is a free planning module inside Google Ads that takes its data from Google's own search base. According to Google Ads help documentation, you need to enter billing details and complete account setup to access its core features. Its average monthly searches figure is a 12-month average for the keyword and its close variants: "web design" and "website design" are combined into one volume, while this tool measures each variant separately.

The second difference is in the Competition column: Keyword Planner labels it low, medium or high based on how many advertisers bid on the keyword. That label describes ad density; it does not measure how hard it is to reach the organic first page. Keyword difficulty in this tool fills that gap. In practice the split works like this: use Keyword Planner to plan ad budgets and this table to build the organic target list; the two sources' volumes will not match exactly because of their methods, but the order of magnitude stays the same.

YouTube keyword research is a separate task, because the volume here measures Google web search, not search inside YouTube. A creator choosing video topics uses web volume to confirm demand; on YouTube, real viewer queries show up in the search bar's autocomplete suggestions and the Research tab in YouTube Studio.

A roadmap for keyword analysis

The roadmap ties the four metrics to one decision: choose the page type by intent, set the order by difficulty, estimate traffic by volume and set financial priority by CPC. A new or low-authority site starts where 0-30 difficulty meets 10-100 volume; an established site can go straight to the 100-1,000 band on the same list. Content creators build a publishing calendar from informational question phrases; business owners assign high-CPC commercial keywords to service pages. Keep the cycle small with queries of five: build the list, read the table, replace each rejected keyword with a new candidate.