8 Most Important Types of Keywords for SEO (And How to Find Them)

In this article, you’ll learn about the eight most important types of keywords in SEO, why each one matters, and exactly how to find them for your projects. You’ll also learn how these same keyword types apply to AI search—an increasingly important organic channel that complements traditional SEO.

Whether you’re building your first keyword list or refining an existing strategy, understanding keyword types helps you prioritize what to target, how to structure your content, and where to invest your time. That’s true for Google rankings. It’s also true for visibility in AI-generated answers from ChatGPT, Perplexity, Gemini, and others.

Here’s a quick cheat sheet before we go deeper:

Let’s break each one down.

1. Seed Keywords

Seed keywords are the starting point of your keyword research. They’re the broad words or phrases you type into a keyword tool to generate hundreds or thousands of more specific keyword ideas.

Think of them as the raw material. If useful keywords are the output of keyword research, seed keywords are the input.

For example, if you run a project management software company, your seed keywords might include “project management,” “task tracking,” “team collaboration,” and “workflow automation.” Each of those terms opens the door to dozens of long-tail variations you’d never think of on your own.

How to Find Seed Keywords

There are several reliable sources for seed keywords:

Brainstorming. Start with what your customers call your product or service. Write down every term that describes what you do, what problem you solve, and how your audience talks about the space. If you sell email marketing software, your list might start with “email marketing,” “newsletters,” “email automation,” “drip campaigns,” and “email templates.”

Competitor websites. Visit your competitors’ sites and look at their navigation menus, blog categories, and product pages. The labels they use often reflect the keywords they’ve researched. A competitor’s blog section titled “Lead Generation” tells you that term is worth investigating.

Google Autocomplete. Type a broad term into Google and let autocomplete finish the sentence. These suggestions reflect what real users search for. Type “keyword research” and you’ll see suggestions like “keyword research tools,” “keyword research for YouTube,” and “keyword research free.”

AI tools. You can ask ChatGPT, Claude, or Gemini to brainstorm seed keywords for a given industry. Prompt something like: “List 20 seed keywords for a SaaS company that sells HR software.” The results won’t be perfect, but they’ll give you a strong starting list to refine.

Your existing analytics. If you’re already getting traffic, check Google Search Console to see what queries bring people to your site. Some of those terms make excellent seeds for deeper research.

Once you have a list of 10-20 seed keywords, plug them into a keyword research tool and explore the suggestions. A single seed keyword can generate thousands of ideas.

How seed keywords work in AI search. The concept of seed keywords applies to AI search too—but the language shifts from “keywords” to “prompts.” In AI search, users don’t type two-word queries. They ask full questions: “What’s the best project management tool for remote teams under 50 people?”

You can use your seed keywords to generate these prompt-style queries. Start with a seed like “project management software,” then think about how a real person would phrase that as a question to ChatGPT or Perplexity. Tools like Analyze AI take this further by suggesting prompts based on your industry and tracking how AI engines answer them.

The suggested prompts feature in Analyze AI works like a seed keyword tool for AI search. It surfaces the questions people are actually asking AI engines about your space, and lets you track them with a single click.

2. Keywords by Search Intent

Search intent is the reason behind the search query. It’s what people expect to find when they type a keyword into a search engine.

This matters because Google ranks content that matches intent. If someone searches “how to make cold brew coffee” and your page is a product listing for cold brew makers, you won’t rank—even if your page is well-optimized. Google sees that the top results are how-to guides and will keep rewarding that format.

There are five main types of search intent:

Informational. The searcher wants to learn something. Examples: “what is keyword research,” “how does SEO work,” “types of keywords.” These queries are your opportunity to build trust and demonstrate expertise through educational content.

Navigational. The searcher wants to find a specific website or page. Examples: “Google Search Console login,” “Analyze AI pricing.” The user already knows where they want to go.

Commercial investigation. The searcher is comparing options before buying. Examples: “best keyword research tools,” “Analyze AI review,” “SEO tools comparison.” These are high-value keywords because the searcher is actively evaluating solutions.

Transactional. The searcher is ready to buy. Examples: “buy SEO software,” “Analyze AI pricing plans,” “keyword tool free trial.” These keywords convert at the highest rates.

Local. The searcher wants to find products or services nearby. Examples: “SEO agency near me,” “digital marketing consultant NYC.” These trigger map packs and local business results in Google.

How to Find Intent Keywords

The simplest method: use modifier words that signal intent.

Most keyword research tools now include intent filters. Enter a seed keyword, go to the keyword suggestions report, and filter by intent type. This saves hours compared to manually reviewing each keyword.

Pro tip: Always check the actual SERPs before committing to a keyword. Intent is ultimately determined by what Google shows on page one, not by the modifier alone. A keyword like “email marketing” might look informational, but the SERP could show a mix of tools, guides, and product pages. Use a SERP checker to see the real results before you create content.

How Search Intent Applies to AI Search

In AI search, intent still matters—but it works differently. When someone asks ChatGPT “what’s the best CRM for small businesses,” the AI engine doesn’t show ten blue links. It generates a direct answer, often citing specific brands and sources.

Here’s the important part: AI engines tend to favor brands that consistently appear in high-quality, intent-matched content across the web. If your site has a well-structured comparison page that genuinely evaluates CRM options, AI engines are more likely to cite you when users ask related questions.

You can track this directly. Analyze AI lets you monitor which prompts mention your brand, which AI engines cite your content, and how your visibility compares to competitors across different intent types.

This dashboard shows your brand’s AI visibility over time, broken down by AI engine. You can see which models mention you most, track sentiment trends, and identify where competitors have the edge—all organized by the topic clusters you define.

3. Long-Tail Keywords (Topical and Supporting)

Long-tail keywords are search queries with relatively low individual search volume. They get their name from the “long tail” of the search demand curve: a small number of head terms get massive volume, and a huge number of long-tail terms each get a little.

Here’s why long-tail keywords matter for SEO:

They’re usually less competitive. Most sites chase the high-volume head terms, leaving long-tail keywords easier to rank for. A keyword like “SEO” has enormous competition. A keyword like “SEO checklist for Shopify stores” is far more accessible.

They attract specific traffic. Someone searching “running shoes” could want anything. Someone searching “best running shoes for flat feet on pavement” knows exactly what they need. That specificity translates to higher engagement and conversion rates.

There are thousands of them. Even though each long-tail keyword has low individual volume, they add up. According to research from Backlinko, over 90% of all search queries are long-tail.

The Two Types of Long-Tail Keywords

Not all long-tail keywords deserve their own page. There’s a critical distinction between topical and supporting long-tail keywords.

Topical long-tail keywords are standalone topics. They represent a unique search need that deserves its own piece of content. Example: “how to write meta descriptions for e-commerce.” This is a specific topic with a clear searcher need, and you can build a full page around it.

Supporting long-tail keywords are just different ways of searching for the same topic. They don’t need separate pages—they’ll be covered naturally when you write about the parent topic. Example: “meta description writing tips for online stores” is basically the same query phrased differently.

The way to tell them apart: check whether the top-ranking pages are the same. If two keywords show nearly identical search results, they’re supporting variations of the same topic. If the results are different, they’re separate topical keywords.

How to Find Long-Tail Keywords

Use a keyword research tool. Start with a broad seed keyword, then filter for lower volume (say, under 500 monthly searches) and browse the results. Look specifically at keywords grouped by parent topic—this helps you identify topical long-tails and ignore supporting ones.

Mine “People Also Ask.” Google’s People Also Ask boxes are a goldmine of long-tail keywords phrased as questions. These are actual queries that real users ask, and they tend to be specific enough to qualify as long-tail.

Use Google Autocomplete and Related Searches. Both features surface long-tail variations of whatever you type. Autocomplete shows suggestions as you type, while Related Searches appear at the bottom of the results page.

Check your Search Console. Filter for queries where your pages rank in positions 8-20. These are keywords you’re almost ranking for, and many of them are long-tail. Targeting these specifically—by adding relevant sections to existing content—can push you onto page one with relatively little effort.

How long-tail keywords play out in AI search. AI search queries are inherently long-tail. Nobody types “CRM” into ChatGPT. They type “What CRM should a 20-person marketing agency use if they need HubSpot-like features but at half the cost?” That’s a long-tail query by nature.

This means the content you create for long-tail SEO keywords often performs double duty in AI search. A detailed, specific article about “CRM options for small marketing agencies” is exactly the kind of content AI engines cite when answering those specific prompts. The more specific and helpful your content, the more likely it is to be pulled into AI-generated answers.

You can validate this by checking which of your pages actually receive traffic from AI engines. Analyze AI’s Landing Pages report shows exactly which URLs get AI-referred sessions, which engines send the traffic, and how visitors engage once they arrive.

This report reveals patterns. You’ll notice that certain types of pages—usually specific, detailed guides—attract disproportionate AI traffic. Once you see which formats work, you can create more content that follows the same structure.

4. Low-Competition Keywords

Low-competition keywords are keywords where the currently ranking pages are relatively weak—meaning a well-optimized new page has a realistic chance of breaking onto page one.

Why does this matter? Because not every keyword is worth chasing right now. If you’re running a newer site with limited authority, targeting “keyword research” (where established players with thousands of backlinks dominate the SERP) is usually a waste of time. Low-competition keywords give you a faster path to results.

That said, “low competition” doesn’t mean “no competition.” It means the barrier to entry is lower. You’ll still need quality content that matches search intent.

How to Find Low-Competition Keywords

Use keyword difficulty scores. Most SEO tools assign a difficulty score to each keyword based on factors like the backlink profiles of top-ranking pages. A good starting point: filter for keywords with a keyword difficulty below 20 or 30, depending on your site’s strength.

Check the authority of ranking sites. Difficulty scores are approximations. For a more nuanced view, look at the Domain Rating (DR) or Domain Authority (DA) of the pages currently ranking. If sites similar to yours in size and authority are ranking in the top 10, that’s a strong signal you can compete. You can check this quickly with a website authority checker.

Look for newly trending keywords. New topics often have low competition because established sites haven’t created content for them yet. If you can identify a rising trend early—a new technology, a regulatory change, an emerging product category—you can rank before the competition catches on.

Check for thin content on page one. Sometimes a keyword has low difficulty not because the topic is obscure, but because the existing content is poor. If the top results are thin, outdated, or poorly structured, you can outrank them with a more thorough article. Scan the top 5-10 results and evaluate whether they truly answer the searcher’s question.

Watch for AI search spillover. Here’s something most SEO guides miss: AI search is creating new search patterns. When ChatGPT or Perplexity introduces users to a concept or brand, some of those users turn to Google to learn more. This generates new keyword demand—often for specific, low-competition terms that didn’t exist six months ago. Tracking these emerging queries gives you a head start.

You can use Analyze AI’s Ad Hoc Prompt Searches to test how AI engines respond to specific queries in your space. If you notice AI engines recommending certain topics or brands, those terms are likely gaining search volume in Google too.

Type any prompt into the Ad Hoc Search bar, choose your target country, and see which brands and sources AI engines cite in their response. This is a fast way to spot emerging topics before they show up in traditional keyword tools.

5. Niche Keywords

Niche keywords are highly specific queries that target a narrow segment of a broader market. They differ from general long-tail keywords in one important way: they don’t just have low volume—they represent a specific market niche with identifiable demand.

Consider the difference. “Organic dog food” is a long-tail keyword. “Organic dog food for senior dogs with kidney disease” is a niche keyword. The second targets a specific group of buyers with a specific need, and the content (or product) serving that query must be specialized to match.

Niche keywords are valuable for three reasons:

They convert at high rates because the searcher knows exactly what they want. If someone searches “vegan collagen supplement for women over 50,” they are not casually browsing. They are shopping.

They face less competition because most sites focus on broader terms. The company ranking for “collagen supplement” probably hasn’t written a page specifically for vegan options targeting women over 50.

They help you build topical authority in specialized areas. Covering a cluster of niche keywords signals to Google (and to AI engines) that you’re an expert in that specific corner of your industry.

How to Find Niche Keywords

Start with your audience’s specific problems. Niche keywords come from understanding your audience at a granular level. What specific challenges do subsets of your audience face? What product features matter to certain segments? Talk to your sales team, read customer support tickets, and browse forums like Reddit to uncover niche language.

Use modifier keywords. Take a broader term and add modifiers that narrow it down. Common niche modifiers include: “for [audience],” “with [feature],” “without [ingredient],” “alternative to [product],” and “in [industry].”

Validate with search results. Before building content around a niche keyword, check whether the SERP rewards specialized content. If the top results are generic pages that don’t specifically address the niche, there’s an opportunity. If the top results are already highly specialized, you’ll need a strong differentiator.

Cross-reference with AI search. Niche queries are particularly common in AI search. When users ask ChatGPT for help with a specific problem, they phrase their prompt with the exact specificity of a niche keyword: “What’s the best accounting software for freelance graphic designers who invoice in multiple currencies?”

In Analyze AI, you can use the Competitors feature to see which brands AI engines mention in response to niche prompts. If your competitors are being cited for niche queries in your space and you’re not, that’s a content gap worth filling—in traditional SEO and in AI search.

Track your competitors in Analyze AI to see how often they appear in AI answers relative to your brand. If a competitor consistently shows up for niche queries, investigate what content they have that you’re missing.

6. Branded and Unbranded Keywords

Branded keywords include a specific brand name. Unbranded keywords don’t. The distinction matters because each type requires a different strategy.

Unbranded keywords are how you attract people who don’t know your brand yet. Someone searching “best email marketing software” hasn’t decided on a provider. If your content ranks for this term, you have a chance to introduce your brand and make the shortlist. Unbranded keywords are the core of most SEO-driven growth strategies.

Branded keywords are how you influence what people find when they already know your brand. Someone searching “Analyze AI review” or “Analyze AI vs [competitor]” has already heard of you. What they find shapes their buying decision. Branded keywords are often overlooked in SEO strategy, but they have an outsized impact on conversion.

Here’s a common scenario: a prospect hears about your brand through a colleague or an AI recommendation. Their next step is to Google your brand name. If the results show positive reviews, useful comparison content, and a strong website, they’ll likely become a customer. If the results show outdated content, negative reviews, or competitor comparison pages that frame you unfavorably, you’ve lost them.

How to Find Branded and Unbranded Keywords

For branded keywords: Enter your brand name into a keyword tool and explore the suggestions. You’ll see searches like “[brand] pricing,” “[brand] alternatives,” “[brand] review,” “[brand] vs [competitor].” These are all keywords you should be tracking and creating content for.

You can also use the Keyword Generator to quickly see what people search alongside your brand name.

For unbranded keywords: These come from your broader keyword research process. Focus on keywords that describe your product category, the problems you solve, or the jobs your customers hire you to do—without mentioning any brand name.

Why Branded Keywords Matter Even More in AI Search

In AI search, branded keywords take on a new dimension. When someone asks ChatGPT “Is [brand] good for [use case]?” the AI engine synthesizes information from across the web to generate an answer. That answer is shaped by the content that exists about your brand—review sites, blog posts, social media, forums, and your own website.

This means your AI brand narrative isn’t fully in your control. But you can influence it by proactively creating content that covers branded queries: reviews, comparisons, use case pages, and case studies. The more high-quality, accurate branded content exists, the more likely AI engines will reflect a positive and accurate portrayal.

Analyze AI lets you monitor your brand’s AI narrative in real time. The Perception Map shows where your brand sits relative to competitors on two dimensions: visibility (how often you’re mentioned) and narrative strength (how positively you’re described).

This view tells you at a glance whether your brand is visible and well-positioned (top right), visible but poorly described (bottom right), or simply not appearing enough (left side). It’s a fast diagnostic for where to focus your branded content efforts.

7. Your Competitors’ Keywords

Your competitors’ keywords are exactly what they sound like: the keywords your competitors rank for in organic search. Analyzing them gives you two things: a list of proven topics with real search demand, and insight into content gaps you can exploit.

Here’s why competitor keyword analysis is so effective: your competitors have already done the work of testing which keywords drive traffic in your space. By studying what’s working for them, you can skip the trial-and-error phase and focus on keywords that are already proven to attract your target audience.

How to Find Your Competitors’ Keywords

Step 1: Identify your SEO competitors. Your SEO competitors aren’t always your business competitors. A SaaS company selling CRM software might compete in Google against blog publishers, review sites, and consulting firms—none of which sell competing software. To find your organic competitors, search for your most important keywords and note which domains consistently appear.

Step 2: Analyze their organic keywords. Enter a competitor’s domain into an SEO tool’s site explorer and review their organic keywords report. Sort by traffic to see which keywords drive the most visitors. Filter by keyword difficulty to find terms where you could realistically compete.

Step 3: Find content gaps. The most valuable competitor keywords are the ones where they rank but you don’t. SEO tools call this a “content gap” analysis. You enter your domain alongside two or three competitors, and the tool shows keywords that your competitors rank for but you don’t appear on.

Step 4: Evaluate before targeting. Not every competitor keyword is worth targeting. Run each one through the same criteria you’d use for any keyword: Does it have meaningful search volume? Can you match the search intent? Does it have business value for your brand? If the answer is yes to all three, add it to your content plan.

How to Find Competitors’ AI Search Keywords

In traditional SEO, competitor analysis means looking at keywords. In AI search, it means looking at prompts—specifically, which prompts trigger competitor mentions and which ones don’t include your brand.

This is where Analyze AI’s Competitors dashboard becomes useful. You add your competitors, and the platform tracks how often each one appears across AI engines (ChatGPT, Perplexity, Gemini, Claude, Copilot) in response to your tracked prompts.

Analyze AI even suggests competitors you might not have considered—brands that frequently appear in AI answers for your industry but aren’t on your radar. These are your AI search competitors, and they may be different from your traditional SEO or business competitors.

Once you see where competitors are winning, look at the specific prompts where they appear and you don’t. This reveals the AI content gaps you need to fill. Create content that covers those topics with the depth and specificity AI engines reward, and your visibility will grow across both channels.

8. Primary and Secondary Keywords

The primary keyword is the main topic of a page. It’s the single keyword you optimize for when creating a piece of content. Think of it as the title of the book.

Secondary keywords are closely related terms that support the primary keyword. They represent subtopics, synonyms, and related questions that help you cover the topic more thoroughly. Think of them as the chapters.

For example, if your primary keyword is “keyword research,” your secondary keywords might include “how to find keywords,” “best keyword research tools,” “keyword difficulty,” and “long-tail keyword research.” You wouldn’t create separate pages for each of these—they’d be sections within your primary keyword’s page.

This distinction matters because it determines your content architecture. Without it, you risk two problems: creating separate pages for keywords that should be covered on one page (causing keyword cannibalization), or cramming too many unrelated keywords onto a single page (diluting relevance).

How to Find Primary and Secondary Keywords

Finding primary keywords is the core of keyword research. A good primary keyword should meet four criteria: it has meaningful search traffic potential, its search intent matches the content you can create, it has value for your business, and you have a realistic chance of ranking for it. See our full guide on SEO keywords for a deeper walkthrough.

Finding secondary keywords is about filling in the gaps around your primary keyword. Here’s how:

Check what top-ranking pages cover. Open the top 3-5 results for your primary keyword and scan their H2s and H3s. The subtopics they cover are often driven by secondary keywords. If every top result includes a section on “keyword difficulty,” that’s a secondary keyword you should cover too.

Use “Related terms” reports. Keyword tools often have a “related terms” or “also rank for” report that shows keywords the top-ranking pages for your primary keyword also rank for. These are your secondary keywords.

Look at “People Also Ask.” Google’s PAA boxes surface questions related to your primary keyword. Each question is a potential secondary keyword that you can address as a section within your content.

Use Analyze AI’s keyword rank checker to see where your existing pages rank for secondary keywords. If you’re ranking in positions 11-20 for a secondary keyword, adding a dedicated section to your existing page could push it to page one.

How Primary and Secondary Keywords Map to AI Search

In AI search, the concept of primary and secondary keywords maps to the relationship between prompts and the subtopics covered in the AI response. When someone asks ChatGPT “What’s the best way to do keyword research?” the AI generates an answer that covers multiple subtopics: finding seeds, evaluating difficulty, checking intent, using tools, and so on.

The pages that AI engines cite most often are the ones that cover those subtopics comprehensively. A page that only covers “what is keyword research” in 300 words won’t get cited. A page that covers the full topic—including subtopics driven by secondary keywords—is much more likely to become a source.

This is exactly why optimizing for secondary keywords has a compound benefit: it improves your SEO rankings and it makes your content more useful to AI engines that are looking for comprehensive sources to cite.

You can track how your content is being cited across AI engines using Analyze AI’s Sources dashboard. This shows you which of your URLs are being referenced in AI answers, which AI models cite you most, and how your citation profile changes over time.

The Content Type Breakdown shows you whether AI engines prefer citing your blog posts, product pages, or other content types. The Top Cited Domains chart reveals which sites dominate citations in your industry—and whether you’re among them.

Other Keyword Types Worth Knowing

Those are the eight most important types. Here are a few additional types you’ll encounter:

Zero-volume keywords. Keywords that keyword tools report as having zero monthly searches. Don’t dismiss them automatically. Some zero-volume keywords represent real demand that tools haven’t detected yet. Others have high business value despite low volume. A keyword like “[your product] integration with [niche tool]” might show zero volume but be exactly what a qualified buyer searches. Learn more about how keyword types interact with volume.

LSI keywords. Latent Semantic Indexing keywords are a concept that gets repeated across SEO blogs, but it’s largely a myth. Google has confirmed it doesn’t use LSI technology. What Google does use is natural language processing to understand related concepts, so writing naturally about your topic is enough—no need to stuff in “LSI keywords.”

Meta keywords. A relic from early SEO. Google has stated publicly that it doesn’t use the meta keywords tag for ranking. You can safely ignore it.

Paid keywords. Keywords you bid on in pay-per-click (PPC) advertising. While paid and organic keyword strategies can inform each other, they operate on different mechanics. Your PPC keyword data can reveal which keywords convert well, which makes it valuable input for organic keyword strategy.

Seasonal keywords. Keywords with predictable spikes in search volume at certain times of the year: “back to school supplies” in August, “best gifts for dad” in June, “tax filing software” in March. If your business has a seasonal component, plan your content calendar around these spikes.

Question keywords. Keywords phrased as questions: “how to,” “what is,” “why does,” “can you.” These are particularly important for both SEO and AI search, since AI engines are designed to answer questions directly. A page that clearly answers a question in a well-structured format is more likely to be cited in an AI response.

Final Thoughts

Understanding keyword types isn’t just academic. It shapes every part of your SEO content strategy: which keywords you target, how you structure your pages, and where you invest your time.

And as AI search becomes a more significant source of organic traffic, these same principles extend to a new channel. The fundamentals don’t change. Quality content, matched to intent, covering topics with real depth—that’s what works in Google, and it’s what AI engines cite.

The difference is that AI search gives you an additional layer of visibility. When your content is thorough enough to rank in Google and structured enough to be cited by ChatGPT, Perplexity, or Gemini, you’re compounding your organic reach across channels.

If you want to start tracking your AI search visibility alongside your SEO performance, Analyze AI gives you the data to measure, compare, and improve across both. You can explore with our free tools to get started:

• Keyword Generator — Generate keyword ideas from any seed term

• Keyword Difficulty Checker — Evaluate how hard a keyword is to rank for

• SERP Checker — See who ranks for any keyword

• Keyword Rank Checker — Check where your site ranks for a keyword

• Website Authority Checker — Evaluate any domain’s authority

• Website Traffic Checker — Estimate any site’s organic traffic

• YouTube Keyword Tool — Find keywords for YouTube SEO

• Bing Keyword Tool — Research keywords for Bing search

• Amazon Keyword Tool — Discover keywords for Amazon listings

• Broken Link Checker — Find and fix broken links on any site