Keyword research is the process of finding the exact terms your buyers search, and deciding which ones are worth the time to target. Get it wrong and even excellent writing sits on the wrong page for the wrong query.
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Keyword research means identifying the specific words and phrases people type into a search engine, then evaluating which of those phrases are worth building content around. It sounds simple. In practice, most keyword research fails at the evaluation step: teams find a long list of terms and pick the ones with the biggest search volume number, without checking whether that volume represents people who would ever buy from them.
A keyword with 90 monthly searches from someone ready to book, hire, or buy is often worth more than a keyword with 5,000 monthly searches from someone just browsing. Good keyword research is a prioritization exercise as much as a discovery one.
Every keyword tool reports roughly the same three metrics, and each one answers a different question.
The keywords worth targeting rarely come from a single tool's suggestion list. The strongest sources are usually: competitor content gaps (terms competitors rank for that you do not cover at all), the "People Also Ask" boxes on Google results pages, real questions from forums like Reddit and niche communities, and, once you have a site with any history, your own Google Search Console data.
That last source is consistently underused. Search Console shows you queries you already get impressions for but are not ranking well on, which is the cheapest opportunity in keyword research: content that already half-works and just needs a push.
A vacation rental company chasing "things to do in [city]" (huge volume, almost entirely informational, traveler intent) will get plenty of traffic and almost no bookings from that page alone. The same company targeting "vacation rentals in [city]" (much lower volume, unmistakably commercial intent) gets fewer visitors but a far higher share of people ready to book.
The healthiest content strategies deliberately mix both: commercial-intent terms scheduled early and often because they drive revenue, and informational terms used to build the topical depth and internal linking that supports the commercial pages.
No site can target every relevant keyword at once. A workable prioritization framework: rank commercial-intent keywords above informational ones regardless of volume, favor keywords where the difficulty score is realistic for your site's current authority, and give a real bump to any keyword where you already have partial ranking or Search Console impressions.
Publishing capacity is finite. Spending it on the highest-intent, most-winnable terms first compounds faster than spreading it evenly across everything a keyword tool suggests.
In the product
Keyword research runs automatically for every project, scored the same way described above rather than sorted by volume alone.
Go deeper
This page is the overview. These posts go deep on one specific part of it.
Search volume vs. difficulty vs. intent, finding keyword gaps, and how to prioritize with limited publishing capacity.
Read on the blogThe four types of search intent and why matching intent matters more than matching keywords exactly.
Read on the blogHow keyword groups map into a pillar-and-cluster content architecture.
Read on the blogWhy covering a full topic universe matters more than any single high-volume keyword.
Read on the blogNew SEO and AI-search guides, straight to your inbox. No spam, unsubscribe anytime.
Related concepts worth understanding alongside this one.
What search engine optimization actually means in 2026, and why it is still the foundation everything else builds on.
ExploreWhat Google has actually confirmed matters for rankings, separated from the tactics people wrongly obsess over.
ExploreAnswer Engine Optimization: structuring content so it can be pulled out and used as the direct answer.
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