What keyword research is
Keyword research is the process of identifying what people search for, how they phrase it, and which topics are worth targeting with specific pages. Good keyword research connects search demand to business value.
The output is not “a spreadsheet of 2,000 keywords.” The output is a prioritized plan: which pages to create or improve, in what order, and why.
What keyword research helps you decide
- Which topics should be pillar pages vs supporting (cluster) pages
- Which pages should be informational vs service-led
- What language your customers use (and what they don’t)
- Where you can win early (lower competition, high intent)
Search intent explained (the real ranking factor)
Search intent is what the user is actually trying to achieve. Search engines rank pages that satisfy the intent best. A “perfect” keyword list won’t help if your page type doesn’t match intent.
4 common intent types
| Intent | What the user wants | Best page type |
|---|---|---|
| Informational | Learn, understand, compare concepts | Guide, tutorial, explanation |
| Commercial | Evaluate options before buying | Comparison, “best X,” case studies |
| Transactional | Take action (buy, book, contact) | Service page, product page, landing page |
| Navigational | Find a specific site/brand | Brand pages, help center, login |
How to find keyword ideas
The best keyword ideas come from customer language and business context—not only “keyword tools.” Combine multiple sources to avoid blind spots.
High-signal sources
- Sales & support: emails, call notes, objections, FAQs, onboarding questions
- Your site search: what visitors type into your internal search
- Search Console: queries you already appear for (quick wins)
- Competitors: service pages, category structures, and topic clusters
- Industry language: standards, regulations, associations, “how-to” needs
Turn customer questions into keyword patterns
Examples: “how much does X cost”, “X vs Y”, “best X for [industry]”, “X checklist”, “X template”, “X in Switzerland”.
How to prioritize keywords (a simple scoring model)
Prioritization is where keyword research becomes strategy. Use a lightweight scoring model so your team can make decisions quickly.
A simple 4-factor score
| Factor | Question | How to score (1–5) |
|---|---|---|
| Business value | Does this keyword connect to revenue or critical outcomes? | 1 = low relevance, 5 = direct buyer intent |
| Intent fit | Can we satisfy this intent with a strong page type? | 1 = weak fit, 5 = perfect fit |
| Difficulty / competition | How hard is it to rank realistically? | 1 = very hard, 5 = winnable |
| Effort | How much work to publish a high-quality page? | 1 = heavy effort, 5 = low effort |
You can rank keywords by (Business value + Intent fit + Winnability + Effort). Then publish in phases: quick wins first, then more competitive terms as authority grows.
Helpful tools (optional)
If you need help building an SEO roadmap and prioritizing keywords for Switzerland, these can support implementation:
Disclaimer: Links are for convenience; choose tools based on your requirements and compliance needs.
Keyword mapping: one page, one job
Keyword mapping is assigning a primary topic (and a small set of close variants) to a specific URL. This prevents keyword cannibalization—when multiple pages compete for the same query and none rank well.
Practical mapping rules
- One primary keyword per page (plus close variants and subtopics)
- One intent per page (don’t mix guide + sales pitch in a confusing way)
- Pillar → cluster structure: pillar covers the big topic; clusters answer narrower questions
- Internal links connect clusters to the pillar and relevant service pages
Common keyword research mistakes
- Chasing volume only: high volume often means unclear intent and high competition.
- Ignoring SERP reality: if the top results are tools, videos, or directories, you need a different approach.
- Over-targeting variants: creating 10 pages for tiny keyword variations creates cannibalization.
- Publishing thin pages: weak content loses to better pages even with “perfect” keyword placement.
- No measurement loop: keyword research without iteration becomes guesswork.
30-day keyword research plan
Use this plan if you want an actionable keyword list and a publishing roadmap within a month.
Week 1: Collect demand signals
- List your services, industries, and customer pain points.
- Collect FAQs from sales/support and your inbox.
- Export top queries and pages from Search Console (if available).
Week 2: Build a topic cluster map
- Choose 1–2 pillar topics that match your business priorities.
- Brainstorm 10–25 cluster topics per pillar (questions, comparisons, checklists).
- Define the page type per topic (guide, service page, comparison).
Week 3: Score and prioritize
- Score each topic using the 4-factor model (value, fit, winnability, effort).
- Pick a first batch of 6–12 pages (mix quick wins + strategic topics).
- Create page outlines and internal linking plan.
Week 4: Publish + validate
- Publish 2–4 pages with strong structure and FAQs.
- Link them correctly (pillar ↔ cluster ↔ services).
- Track early impressions and adjust titles/sections based on real queries.
Keyword research checklist (copy/paste)
Use this to confirm your keyword research is business-ready (not just “SEO-ready”).
- We defined 1–2 pillar topics and a cluster structure.
- We collected keywords from real customer questions (not only tools).
- Each keyword/topic is mapped to one page and one intent.
- We prioritized topics by business value, not only search volume.
- We have a publishing order and internal link plan.
- We measure outcomes (leads, bookings), not only rankings.
FAQ
How many keywords should I target per page?
What matters more: search volume or intent?
Do I need paid tools for keyword research?
How often should we update keyword research?
Sources & further reading
Use authoritative sources and keep them updated. Replace or extend the list based on your tools and workflow.
- Google Search Central – Documentation
- Google Search Console – Help Center
- Schema.org – Structured data reference
- W3C – Web standards
- Innopulse – SEO Explained for Businesses
Last updated: February 21, 2026 • Version: 1.0