Research keywords before you write, not after you fail

Say you run an online kitchenware store. You could spend months writing an article for "kitchenware," a generic keyword thousands of big stores have competed for over years, or put that same energy into "stainless steel pot for gas stoves," which has far less competition and whose searcher has purchase intent right at that moment. The difference between these two decisions is the difference between content that brings customers for years and content that gathers dust on Google's tenth page. Keyword research makes exactly this choice data-driven for you, not a guess.

A point rarely mentioned: the ultimate goal isn't one keyword, it's a topic cluster. Someone searching "stainless steel pot" probably also has questions later about "stainless steel vs. Teflon" or "pot set prices." If you look at this cluster together, instead of one scattered page, you build a content architecture that makes Google see you as the authority on that entire topic.

CPC is the average price advertisers pay per click on that keyword in Google Ads. If a keyword's CPC is high, say "corporate tax consulting" versus "what is a tax, definition," it means advertisers are willing to spend serious money on it, which usually signals strong purchase or commercial intent. Ranking organically for such a keyword is, in the long run, more valuable than ranking for a keyword with near-zero CPC, even if its search volume is lower.

Ad competition (low/medium/high) shows how many advertisers are bidding on the same keyword. This metric isn't directly "SEO difficulty," a keyword can have high ad competition and relatively low organic competition, or the reverse, but combining these two with keyword difficulty gives a truer picture of a keyword's value and difficulty than relying on one number alone.

An honest note on local data: the data provider we use for search volume, CPC, and competition currently has no numbers for the Iranian market specifically; not just us, no tool relying on this tier of international provider has that coverage. Instead of showing a fabricated number for local-language keywords, we honestly display "—" and explain it right next to the number; for keywords with international intent or other countries (selectable in the full "Search Volume & CPC" tool), you'll see real, current numbers. We'd rather you see a "—" and know exactly where you stand than make a bad call on a guessed number.

Character-set variants. The same word typed with slightly different regional character forms looks identical to a human searcher, but some tools count them as two separate keywords and cut the real search volume in half.

Spacing and typing habits. A word written the "correct" way with proper spacing is one thing, but many users type it all run together instead. Both forms need to be captured in the analysis, or a large chunk of real searches falls through the cracks.

Phonetic/Latin-script typing. Some local users, especially in technical or branded searches, type using the Latin alphabet phonetically instead of native script. Ignoring this volume means ignoring a real slice of the market.

Our keyword suggestion tool works directly on real local search data, not a machine translation of an English tool; that's what makes its suggestions match how people actually type in the real world.

If this comparison doesn't match your real experience anywhere, we'd be glad if you let us know through our contact page so we can correct it.