conbersa.ai
SEO8 min read

How to Do Keyword Research

Neil Ruaro·Founder, Conbersa
·
keyword-researchseocontent-strategysearch-optimization

Keyword research is the process of identifying the specific words and phrases your target audience types into search engines when looking for information, products, or solutions. It involves discovering these terms, analyzing their search volume and competition, and prioritizing them based on your ability to rank and the business value they represent. Done well, keyword research is the foundation of every content strategy that drives organic traffic.

This is not optional work. Ahrefs analyzed 1 billion web pages and found that 96.55% receive zero traffic from Google. The primary reason most pages fail is that they target keywords nobody searches for, or they compete for terms where they have no realistic chance of ranking. Keyword research eliminates both problems before you write a single word.

Why Does Keyword Research Matter More Than Ever?

Search has fragmented. Users no longer rely on Google alone. They search on TikTok, Reddit, YouTube, ChatGPT, and Perplexity. But the underlying behavior is the same: people type words to find answers. Understanding which words they use gives you an advantage on every platform.

BrightEdge research found that 53% of all website traffic comes from organic search. That share has remained stable even as paid advertising costs have increased. For startups operating with limited budgets, organic traffic from well-researched keywords is one of the highest-ROI channels available.

The compounding effect is significant. A page targeting the right keyword continues generating traffic for months or years after publication. A page targeting the wrong keyword generates nothing, regardless of how well it is written.

How Do You Start Keyword Research From Scratch?

Start with seed keywords. These are the broad terms that describe your product, service, or topic. If you sell project management software, your seeds might be "project management," "task tracking," and "team collaboration." Write down 10 to 15 seeds before touching any tool.

Next, expand those seeds using keyword research tools. Google Keyword Planner, Ahrefs, Semrush, and Ubersuggest all take a seed keyword and return hundreds of related terms with search volume data. The goal is not to find one perfect keyword. The goal is to build a list of 50 to 100 candidates you can evaluate.

Sort your candidates by three criteria:

  1. Search volume. How many people search for this term monthly? Ignore anything under 50 monthly searches unless it is highly commercial.
  2. Keyword difficulty. How strong are the pages currently ranking? A startup blog cannot realistically outrank 10 high-authority sites for a head term.
  3. Business relevance. Does this keyword connect to something you sell or a problem you solve? High volume with zero relevance is a vanity metric.

The intersection of decent volume, manageable difficulty, and strong relevance is where you find keywords worth targeting.

What Is the Difference Between Short-Tail and Long-Tail Keywords?

Short-tail keywords are broad, one to two word phrases like "keyword research" or "SEO tools." They have high search volume but extreme competition. Ranking for them typically requires years of authority building and hundreds of supporting pages.

Long-tail keywords are specific, three to six word phrases like "how to do keyword research for a new website" or "best keyword research tools for startups." They have lower individual volume but are dramatically easier to rank for. Research from Backlinko shows that the average top-ranking page also ranks for approximately 1,000 other keywords, many of which are long-tail variations.

For startups and new sites, long-tail keywords are the rational starting point. Each long-tail page captures a small amount of traffic, but 50 pages each bringing in 100 visitors per month adds up to 5,000 monthly visitors with minimal competition.

How Do You Evaluate Search Intent Behind a Keyword?

Search intent is the reason behind a query. Google and AI search engines are increasingly sophisticated at matching content to intent, so misaligning your content format with what the searcher actually wants is a guaranteed way to fail.

There are four primary intent types:

  • Informational. The user wants to learn something. Example: "what is keyword research." Best served by blog posts, guides, and learn pages.
  • Navigational. The user wants a specific website or page. Example: "Ahrefs keyword explorer." Best served by your homepage or product page.
  • Commercial. The user is comparing options before buying. Example: "best keyword research tools 2026." Best served by comparison posts and reviews.
  • Transactional. The user is ready to buy or sign up. Example: "Ahrefs pricing." Best served by pricing pages and landing pages.

Check intent by searching the keyword yourself. Look at what Google ranks on page one. If the top 10 results are all blog posts, Google has decided this is an informational keyword. Publishing a product page for it will not work.

How Do You Build a Keyword Strategy From Your Research?

A keyword list is not a strategy. A strategy maps keywords to pages, assigns priorities, and creates a publishing schedule.

Group your keywords into topic clusters. Each cluster has a pillar topic and several supporting subtopics. For example, a "keyword research" cluster might include the pillar page you are reading now, plus supporting pages on long-tail keywords, search intent, and keyword tools.

Prioritize clusters where you have the strongest expertise and the most commercial relevance. HubSpot found that companies publishing 16 or more blog posts per month receive 3.5x more traffic than those publishing 0 to 4. But publishing 16 unfocused posts is worse than publishing 8 posts within a coherent cluster. Topic clusters build the topical authority that search engines use to determine rankings.

Assign each keyword to a specific content type. Informational keywords become blog posts or learn pages. Commercial keywords become comparison pages. Transactional keywords map to landing pages. This prevents you from creating the wrong content format for a keyword's intent.

How Does Keyword Research Inform Multi-Platform Distribution?

This is where most keyword research guides stop, and where the real leverage begins. The keywords your audience searches on Google are often the same topics they discuss on Reddit, watch on TikTok, and ask about on AI search engines.

A keyword cluster around "how to do keyword research for startups" does not just produce one blog post. It informs the script for a 60-second TikTok explainer, the talking points for a Reddit comment in r/SEO, and the structure of a YouTube Short walking through the process. The research you do once gets distributed across every platform where your audience spends time.

According to Statista, TikTok had over 1.5 billion monthly active users as of 2024. Many of those users search TikTok the same way they search Google, using keywords. Reddit threads rank in Google results. YouTube videos appear in AI search citations. The keyword research you do for SEO purposes becomes the foundation for a multi-platform content engine.

At Conbersa, we use keyword research as the starting point for multi-platform distribution. The topics our audience searches for on Google are the same topics we distribute across TikTok, Reddit, and short-form video. Keyword research tells us what to say. Our platform handles where and how to say it at scale.

What Are the Most Common Keyword Research Mistakes?

Chasing volume over relevance. A keyword with 50,000 monthly searches means nothing if none of those searchers would ever become your customer. Target keywords where the person searching has a problem you solve.

Ignoring keyword difficulty. New sites targeting head terms like "SEO" or "marketing" are competing against domains with millions of backlinks. Start with keywords where difficulty scores are under 30 and work up from there.

Researching once and never updating. Search behavior changes. New competitors enter your space. Algorithm updates shift rankings. Quarterly keyword reviews ensure your content stays aligned with what people are actually searching for.

Skipping intent analysis. Writing a 2,000-word blog post for a keyword where Google shows only product pages is wasted effort. Always check the search results before committing to a content format.

Treating each keyword as isolated. Keywords work in clusters. A single page targeting one keyword is far less effective than a cluster of 10 pages covering every angle of a topic. The cluster builds topical authority, which lifts the rankings of every page within it.

What Should You Do After Completing Keyword Research?

Keyword research is step one. The next steps are execution:

  1. Map keywords to content. Assign each priority keyword to a specific page, format, and publication date.
  2. Build topic clusters. Group related keywords so each cluster has a pillar and supporting pages that interlink.
  3. Create a publishing calendar. Consistency matters more than perfection. Set a sustainable pace and stick to it.
  4. Track rankings. Use Google Search Console or a rank tracking tool to monitor how your pages perform for target keywords over time.
  5. Distribute across platforms. Use your keyword insights to create content for TikTok, Reddit, YouTube, and other channels where your audience searches.

The startups that win at organic growth are not the ones with the best writing. They are the ones that systematically research what their audience searches for and then build content that answers those searches across every platform that matters.

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