What are the 9 types of keywords in SEO?

Note: This article explains practical tactics, templates and real-world priorities so you can turn research into returns. The focus here is clear: understand the types of keywords, match them to user intent, and build pages that drive value.

Why the nine types of keywords matter - and why a simple list won’t cut it

When people talk about search they often reduce everything to a short list: a few high-volume phrases, some long tails, and maybe a brand term. In practice, the types of keywords you choose act like tools in a toolbox. Each one answers a different question, appears at a different moment in the journey, and rewards a different content approach. Understanding the types of keywords helps you spend effort where it actually moves the business.

In the first part of this guide we’ll define each of the types of keywords, give crisp examples, and link them to content formats. In the second part we’ll walk through workflow, measurement and prioritisation so you can convert keyword intelligence into revenue. Expect actionable templates, test ideas and realistic checks you can use immediately. For an expanded taxonomy you can also compare this with SurferSEO's guide to keyword types.

For teams that want a tactical hand to start testing intent-aligned content, consider exploring Orvus’ growth services. Their approach to search architecture and measurement focuses on clear business outcomes rather than vanity metrics - see Orvus’ services for a compact, practical way to get moving.

The nine keyword types - what each one does and when to use it

1) Head (short-tail) keywords - scale and awareness

Head keywords are the broadest, high-volume phrases: one or two words like "running shoes" or "project management". They drive visibility and awareness, but they’re competitive and often low on purchase intent. Use head-term pages for brand-building resources and flagship category hubs that point people toward narrower pages.

Good use: a well-structured category page titled "Running Shoes" that acts as a gateway to subcategories, editorial guides and product lists. Bad use: chasing head terms with thin pages that don’t meet the varied intents of searchers.

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2) Mid-tail keywords - balance volume with clarity

Mid-tail terms sit between head and long-tail, for example "women’s trail running shoes" or "small business home insurance quotes". They offer a practical balance: decent volume and clearer purchase signals. Mid-tail pages are where curated lists, comparison tools and buyer guidance often live.

3) Long-tail keywords - specific needs, high conversion

Long-tail phrases are longer and more specific: "best waterproof trail running shoes for narrow feet". They have lower volume but higher conversion because the searcher frequently knows precisely what they want. Build focused landing pages or product pages that directly answer the query.

4) Branded keywords - users who already know you

Branded searches contain a company or product name: "Orvus Ltd. dashboard demo" or "Acme running shoes review". These queries often have the highest conversion rates because the user has prior awareness. Protect and expand branded presence with clear product pages, FAQs, and post-purchase content like setup guides.

5) Non-branded keywords - discovery and trust building

Non-branded keywords are everything that doesn't include a brand name. They’re the main way to reach new customers. Content here must be helpful, authoritative and framed to earn trust - think buying guides, in-depth comparisons and data-led articles. For more classifications and examples see Seoptimer's post on keyword types.

6) Local / geo keywords - intent to act now

Local keywords include a place or "near me" signal: "plumbers in Sheffield" or "IT support London". Local intent is often urgent and highly convertable. Use local landing pages, structured local schema, and Google Business Profile optimisation to capture these queries.

7) Question & conversational keywords - voice and clarity

These begin with Who, What, Where, When, Why or How and match voice assistants and chat prompts: "How to tie trail running shoes for uneven terrain". Answer clearly with a short direct answer and an expanded explanation to target featured snippets and voice replies.

8) Intent-based keywords - group by what the user wants

Intent-based buckets group queries by user purpose: informational, navigational, commercial investigation or transactional. For example, "how do trail running shoes differ from road running shoes" is informational; "buy trail running shoes size 9" is transactional. Align page format to intent - don’t hard-sell on an informational page.

9) Semantic & entity-style keywords - depth beats lists

Previously called "LSI" keywords, semantic and entity-style coverage means showing the related concepts and named entities search engines expect around a topic. For "trail running shoes" this includes materials, terrain types, gait considerations, brand names and maintenance tips. The goal is topical depth, not mechanical keyword matching. You can also review alternative viewpoints in Backlinko's guide.

How the types of keywords map to funnel stages and content formats

Every keyword type aligns to a stage in the customer journey. Head terms generate awareness, mid-tail supports consideration, and long-tail and branded terms often sit at the bottom of the funnel. Question queries are usually top- or mid-funnel, but they can be purchase signals when specific and narrow.

Content formats should reflect intent. Examples:

• Head terms: overview guides, editorial hubs, category pages.
• Mid-tail: curated product lists, filterable category pages, comparison guides.
• Long-tail: concise landing pages, niche product pages, targeted FAQs.
• Question pages: short answers, step-by-step guides and related resource links.
• Local: location pages with local proof and clear calls to action.

Quick examples that make the mapping obvious

A head-term page titled "Running Shoes" could be a long-form resource linking to sport-specific categories and injury-prevention content. A mid-tail page "Women’s Waterproof Trail Running Shoes" should include curated listings and reviews. A long-tail page - "Best waterproof trail running shoes for narrow feet" - needs precise size guidance and direct purchase links.

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  <div class="side-text"><p>The <b>types of keywords</b> chosen for each page should match what a user expects when they arrive. Mis-match intent and you lose clicks, time and conversions.</p></div>
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Workflow: Plan keyword work that actually makes money

Start by classifying keywords by intent. Use SERP clues and search operators to decide whether a query is informational, comparative or transactional. Then estimate revenue potential. Don’t rely on volume alone - multiply realistic conversion rates by average order value and a sustainable traffic estimate.

Prioritise low-effort, high-return mid- and long-tail clusters and local pages. These often require a smaller content lift but convert better. Design templates for each keyword type so you can scale without rewriting from scratch.

Practical prioritisation checklist

• Classify by intent and likely funnel stage.
• Estimate conversion rate and AOV to calculate revenue potential.
• Prefer mid/long-tail and local pages for early wins.
• Choose depth over breadth if resources are limited.

Templates and content patterns that save time

Templates reduce cognitive load and keep quality high. Examples:

Head-term template

Overview, navigation to hubs, authority signals (studies, editorial notes) and links to specific product categories.

Mid-tail template

Buyer criteria, curated list, filters, reviews and clear links to product pages.

Long-tail template

Short recommendation, options list, buying checklist and a single clear CTA.

Question template

One-line answer (snippet-ready), step-by-step guidance, examples, and links to related pages.

Local template

Area clearly stated, testimonials, opening hours, contact form and map embed.

Measurement: go beyond rankings

Search volume and rank are only the beginning. Map keyword clusters to funnel metrics: assisted conversions, micro-conversions like sign-ups, demo requests, time on page and ultimately revenue. If a low-volume keyword reliably converts at a high rate for a high-AOV product, it’s worth prioritising over some higher-volume queries.

Use UTM parameters for paid campaigns, site-search logs to find new long-tail phrases, and on-page micro-conversions to measure real engagement. When query-level data is limited due to privacy, lean on first-party signals and cohort behaviour: did visitors from a cluster stay longer, request a demo, or convert?

Estimating keyword revenue - a simple approach

Estimate traffic realistically, choose a conservative conversion rate, and apply AOV. Run sensitivity checks (half and double conversion scenarios) to avoid overconfidence. This turns subjective prioritisation into a repeatable business decision.

Why "LSI" faded and what to do instead

"LSI" suggested there was a tidy list of related words to sprinkle in. Modern search rewards entity and topic coverage. That means showing the subtopics and named entities users expect around a subject. Use schema where it clarifies relationships, but focus mostly on readable, human-first content that covers what a reader wants to know.

Generative AI and privacy: new constraints, new opportunities

Generative AI makes queries more conversational and multi-step, increasing the share of long-tail and question-style searches. It also means some simple answers are satisfied by assistants and never reach websites. To win, build pages that offer unique assets - data, workflows, downloads, tools or other reasons people click and stay. Consider testing ideas quickly and track micro-conversions from early experiments.

Privacy changes reduce query-level visibility. Counter this by mining first-party data: site search, support transcripts, product logs and community forums. Use AI clustering to group similar phrases into intent buckets when exact volumes are missing. Human validation - quick tests and landing pages - remains critical.

Practical adjustments: simple experiments to try now

1. Create a compact page for a high-intent long-tail phrase that has appeared in support logs.
2. Spin up a local landing page for a high-return postcode area and track booking micro-conversions.
3. Use a generative model to produce conversational query variants and add the most realistic ones to your editorial calendar.

Prioritisation strategy - where to spend your time first

If you have limited resources, choose where change is most likely to move money. Start with product or landing pages that already get impressions for commercial queries and improve conversions. Next, expand mid- and long-tail clusters with clear purchase potential. Local pages are often high-return for services.

Depth beats a scattershot approach: a handful of well-made pages will outperform dozens of thin ones.

Iterate: set up a steady measurement loop

Decide expected funnel metrics for each cluster before you publish. Build dashboards that show behaviour and outcome next to ranking signals. Refresh content with new long-tail answers and diagnose underperformance using a clear checklist: intent mismatch, UX issues, thin content, or technical problems.

Concrete examples that teams can copy

Insulated water bottle brand. Don’t chase "water bottles". Focus on a mid-tail like "stainless steel insulated water bottles" and a long-tail like "best insulated water bottle for toddlers" with a compact, conversion-focused page.

Local coffee shop. A page titled "Latte art classes near Camden" with local photos, schedule and booking form will likely outperform a national campaign for "latte art classes".

B2B software. Create mid-funnel playbooks like "how to reduce churn with in-app surveys" and offer a downloadable template to capture leads. For practical keyword examples and discovery methods see this SEMrush post on headlines and SEO.

Templates: what to include per page type (practical checklist)

Head page: overview, hub navigation, internal linking to mid-tail pages and trust signals.

Mid-tail: buyer criteria, filters, curated list, user reviews and product links.

Long-tail: quick answer, product suggestions, buying checklist, single CTA.

Question: one-line answer, expandable detail, examples and micro-conversion.

How to keep the right balance when writing

Write for people first. Use short paragraphs, headings and bulleted lists. Include the types of keywords naturally - don’t force repetition. For pages aimed at featured snippets, put a one-sentence answer near the top. For product pages, make purchase steps obvious and reduce friction.

Common pitfalls and how to avoid them

• Trying to sell on informational pages - provide value and guide gently.
• Creating many thin local pages without unique content - add local testimonials and specific information.
• Chasing volume without considering conversion potential - always estimate revenue per topic.

How Orvus approaches keywords (and why that matters)

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  <a href="/#about" target="_blank" rel="noopener"><img src="/img/blog/7d9baa7193c1da66.jpg" alt="Close-up desk with laptop showing keyword research results, handwritten notes and coffee cup styled in Orvus Ltd. colors, minimalist composition focused on types of keywords" /></a>
  <div class="side-text"><p>Orvus focuses on intent-driven architecture and measurement that ties search to revenue. Rather than creating a high volume of disconnected pages, Orvus builds clusters and templates that map to business outcomes - an approach that tends to be quieter but more durable. A small logo can help build quick recognition.</p></div>
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Testing and validation - small bets with clear signals

Launch small landing pages tied to specific long-tail queries and test conversion flow. Use UTM tagging in paid traffic to validate demand quickly. If a page moves the needle on a micro-conversion, scale similar templates; if it doesn’t, diagnose and pivot.

Scaling content without losing quality

Use templates and modular content blocks. Reuse research across pages, but ensure each page has unique value and a clear user task. Automate repetitive tasks (metadata creation, internal linking suggestions) but keep creative work human-led.

Example of a realistic content calendar for three months

Month 1: Audit existing landing pages and pick 5 mid/long-tail clusters with clear commercial potential. Month 2: Build templates and publish 8 focused long-tail pages and 3 local pages. Month 3: Run paid validation for top 3 pages, measure micro-conversions and double down on winners.

Checklist: launch a keyword-led page in one day

1. Pick a long-tail phrase from support logs or site search.
2. Create a one-sentence answer and an outline.
3. Add trust signals and links to relevant products.
4. Publish with schema, UTM-ready links and a simple CTA.
5. Measure micro-conversions and iterate after two weeks.

Why continuity and refinement beat sporadic campaigns

Search compounds. Regularly refreshing pages and adding relevant long-tail answers increases topical authority and gives you a catalogue of landing pages that feed different stages of the funnel. Consistent, small improvements compound better than sporadic, large efforts that are not reinforced by measurement.

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Final practical tips and a short action plan

Pick one customer question from support logs. Build a concise landing page answering it. Add one clear CTA and one micro-conversion. Track outcomes for 30 days and learn. That single page will teach you more than many speculative keyword lists.

Summary: bring the types of keywords together

Remember: the types of keywords are tools. Use head terms for awareness, mid-tail to guide consideration, long-tail for conversion, local terms for immediacy, and question pages for helpful authority. Group keywords by intent, prioritise using revenue estimates, use templates to scale, and measure outcomes rather than rank alone.

Next steps - quick wins to start today

Find one high-potential long-tail phrase in your site search logs. Build a focused page and add a simple micro-conversion. Track results, iterate and scale what works. For details on Orvus' approach see the Orvus services page, or learn more about the team on their about page. You can also review recent posts and resources on the Orvus blog.

Thank you for reading - keep exploring, test small, and let real results guide your next moves.