Keyword research is not dead. But the way most people were taught to do it is no longer enough.

In 2026, finding the right keyword is only the first step. You also need to understand how that keyword is being handled by AI search tools, whether it triggers an AI Overview that absorbs clicks before users reach your page, and what kind of content has the best chance of showing up in both traditional results and AI-generated answers.

This post walks through a keyword research process built for that reality. It covers what has changed, what has not, and gives you a repeatable framework you can apply to your content planning right now, whether you run a restaurant, a fitness studio, an online shop, or a professional services business.

What Keyword Research Actually Is

Keyword research is the process of identifying the specific words and phrases your target audience types into search engines, then using that information to decide what content to create and how to structure it.

At its core, it answers two questions: what are people searching for, and is it worth my time to create content targeting that search?

Both questions still matter in 2026. The process of answering them has gotten more layered.

What Has Changed in the AI Era

Search queries are getting longer and more conversational

People are increasingly treating AI search tools like a conversation. Instead of typing “running shoes,” they ask “what are the best running shoes for someone with flat feet who runs on pavement three times a week?”

Instead of “kids birthday cake,” they ask “what flavor birthday cake works best for a 7-year-old who doesn’t like chocolate?”

Short keyword phrases are becoming less reliable as the primary unit of research. You need to think in terms of topics, questions, and intent clusters, not just isolated keywords.

AI Overviews are absorbing clicks from informational queries

Google’s AI Overviews appear at the top of results for a wide range of informational searches and deliver a synthesized answer without requiring a click. For many informational keywords, this has noticeably reduced organic click-through rates.

This does not mean you should stop targeting informational content. It means you need to either optimize for inclusion in the AI Overview itself (a GEO play), or prioritize content formats that AI Overviews are less likely to fully replace, such as detailed guides with original data, tools, templates, and highly specific local content.

Zero-click searches have increased, but brand visibility still matters

Even when a user does not click through to your page, appearing as a cited source in an AI answer builds brand recognition. The goal of keyword targeting has expanded beyond driving clicks to also driving mentions, citations, and brand association in AI-generated content.

A bakery that gets cited in a Perplexity answer about “best sourdough techniques for beginners” is building awareness even if the reader never visits the bakery’s website that day.

What has not changed

Volume, difficulty, and intent are still the foundational evaluation criteria for any keyword. A keyword with no search volume is not worth targeting. A keyword with difficulty far above your current domain authority will take years to rank for. A keyword that does not match what your page actually offers will produce traffic that bounces immediately.

The fundamentals of keyword evaluation have not changed. The context around them has.

The Keyword Research Framework for 2026

Step 1: Start With Your Topic Clusters, Not Individual Keywords

Before you search for any keywords, decide which 3 to 5 core topics your site is going to own. These are the subjects your brand will cover deeply and consistently.

Every keyword you target should map to one of these clusters. This keeps your content strategy focused and builds the topical authority that both Google and AI systems reward.

Here is what topic clusters look like across different business types:

A local physiotherapy clinic:

• Back and neck pain treatment
• Sports injury recovery
• Posture and ergonomics
• Exercise rehabilitation
• Finding and choosing a physio

A home baking blog:

• Bread and sourdough
• Cakes and celebration baking
• Baking for beginners
• Ingredients and substitutions
• Equipment and tools

An independent pet supplies store:

• Dog nutrition and food
• Cat care and health
• Small animal keeping
• Pet health and vet advice
• Training and behavior

A freelance photographer:

• Wedding photography
• Family portrait tips
• Photography gear and reviews
• Editing tutorials
• Building a photography business

The principle is the same regardless of your industry: pick 3 to 5 specific areas and go deep on each, rather than publishing sporadically across unrelated topics.

Step 2: Generate Keyword Ideas From Multiple Sources

Start broad, then filter. Use a combination of these sources to build a raw list of keyword ideas:

Google’s own search features

Type your core topic into Google and look at three things:

1. The autocomplete suggestions that appear as you type
2. The “People also ask” box within the results
3. The “Related searches” section at the bottom of the page

These are real queries from real users that Google has categorized as relevant to your topic. They are free, current, and directly reflective of actual search behavior.

For example, typing “sourdough starter” into Google surfaces autocomplete suggestions like “sourdough starter recipe,” “sourdough starter not rising,” “sourdough starter smell,” and “sourdough starter too sour.” Each of those is a real problem real people are searching for help with.

A keyword research tool

Tools like Mangools KWFinder, SE Ranking, Ahrefs, or even the free Google Keyword Planner give you volume data, keyword difficulty scores, and related keyword suggestions. You do not need all of them. Pick one and use it consistently.

Reddit, Quora, and community forums

Search your topic on Reddit and read what questions people are actually asking in the relevant communities. These discussions surface the real language your audience uses, including the specific pain points, objections, and terminology that may not show up in keyword tools yet.

A pet food brand researching dog nutrition would find conversations in r/dogs and r/DogCare about specific concerns like “is grain-free food actually bad for dogs,” “what does it mean when a dog’s stool is loose,” and “best food for senior dogs with joint problems.” None of those phrases come from a keyword tool, but all of them reflect real demand.

Your existing Google Search Console data

If your site has been live for more than a few months, Search Console shows you exactly what queries people are already using to find your pages. This is often the most valuable source of all because it reflects real demand for your specific content.

AI tools as a research starting point

Ask ChatGPT or Claude: “What questions do people commonly ask before booking a physiotherapy appointment?” or “What are the most common concerns first-time sourdough bakers have?” The output will not give you volume data, but it surfaces angles and subtopics worth investigating in a keyword tool. Use it as a brainstorming layer, not a final answer.

Step 3: Evaluate Each Keyword Against Three Criteria

Once you have a raw list of 30 to 50 keyword ideas, filter them down using these three criteria:

Search volume

How many people search this term per month? There is no universal minimum, but as a general guide:

• Under 100 searches per month: Only worth targeting if competition is very low and the intent is highly specific to your services
• 100 to 1,000 per month: The sweet spot for most small and mid-sized sites
• Over 10,000 per month: High value but usually high competition, better targeted once you have built domain authority

Do not dismiss low-volume keywords automatically. A keyword with 200 monthly searches and high commercial intent, like “emergency plumber [your city],” can drive more qualified leads than a keyword with 10,000 searches and purely informational intent, like “how does plumbing work.”

Keyword difficulty

Keyword difficulty (KD) scores estimate how hard it would be to rank on page one based on the strength of existing ranking pages. Most keyword tools provide a KD score from 0 to 100.

As a rough starting point:

• KD 0 to 30: Accessible for most sites, including newer ones
• KD 30 to 60: Competitive, requires solid content and some backlinks
• KD 60 and above: Difficult territory, best avoided until your domain authority is well established

Target the lower end of the difficulty range while you are building authority, then work upward as your site grows.

Search intent

This is the most important criterion and the one most often ignored. Search intent is what the person typing that query actually wants.

For every keyword on your list, ask: if I searched this right now, what kind of result would best satisfy me?

• A definition or explanation (informational): “how to care for a succulent”
• A comparison of options (commercial investigation): “best beginner indoor plants 2026”
• A specific product or service page (transactional): “buy monstera plant online”
• A specific website (navigational): “Ikea plant section”

Your content type needs to match the intent. A service page will not rank for a query where every result is an educational guide. A blog post will not convert traffic from a query where the searcher is ready to buy.

Step 4: Check the AI Search Landscape for Each Keyword

This is the step that most keyword research guides still do not include. Before committing to a keyword, search it in Google and check:

Does it trigger an AI Overview?

If yes, look at what the AI Overview covers. If it fully answers the query in 3 to 4 sentences, click-through rates for organic results below it will be lower. Your options are:

1. Target the keyword anyway and optimize for inclusion in the AI Overview (GEO optimization)
2. Target a more specific, longer-tail variation that is less likely to trigger an AI Overview. “How to keep sourdough starter alive in a hot climate” is less likely to trigger an Overview than “how to feed sourdough starter”
3. Create a content format the AI Overview cannot replace, such as a detailed recipe with step-by-step photos, a local business guide, or a tool

Who is being cited in AI search results for this keyword?

Search the same keyword in Perplexity or ChatGPT with browsing. Look at which sources get cited. What makes their content worth citing? This tells you the standard you need to meet to compete in AI search for that keyword.

A travel blogger researching “things to do in Da Lat” would find that Perplexity cites a mix of travel platforms (TripAdvisor, Lonely Planet) and individual travel blogs with highly specific, firsthand guides. The opportunity is a post more specific and locally knowledgeable than the aggregator content.

Is the keyword conversational or question-based?

Longer, question-based keywords like “what is the best time of year to visit Iceland on a tight budget?” are more likely to be searched directly in AI tools than short-form keywords like “Iceland travel.” Both are worth targeting, but the conversational version requires you to write in a way that directly answers the question, not just covers the topic.

Step 5: Map Keywords to Content Types

Once you have a filtered list of viable keywords, map each one to the appropriate content type based on intent:

Do not force a blog post format onto a transactional keyword or a service page onto an informational one. Match the content type to the intent and you will rank faster with less effort.

Step 6: Prioritize Your Keyword List

You now have a filtered, mapped list of keywords. Prioritize them using this simple approach:

Publish first:

• Low difficulty, clear intent match, maps to a topic cluster you are actively building
• Keywords already driving some impressions in Search Console but not yet properly optimized

Publish next:

• Medium difficulty, strong intent match, some existing competition from sites at your level
• Keywords that appear frequently in AI search results in your niche

Publish later:

• Higher difficulty keywords you are building toward as your domain authority grows
• Broad, competitive informational keywords where you need more supporting content in place first

A Practical Example: Keyword Research for Three Different Sites

Here is how this framework applies across three very different types of sites.

Example 1: A Home Baker’s Recipe Blog

Core topic cluster chosen: Bread and sourdough

Raw keyword ideas generated:

• sourdough starter
• sourdough bread recipe
• why is my bread dense
• how to score sourdough
• sourdough starter smell
• bread not rising
• Dutch oven bread
• beginner sourdough
• sourdough hydration

After filtering for volume, difficulty, and intent:

• “why is my bread dense” (informational, low difficulty, consistent volume, problem-solving intent)
• “beginner sourdough bread recipe” (informational, medium difficulty, high volume, good for a long-form guide)
• “how to score sourdough bread” (informational, low difficulty, specific, good for a short visual post)
• “sourdough starter not rising” (informational, low-medium difficulty, high intent, highly searchable problem)

After checking AI search landscape:

• “why is my bread dense” triggers AI Overviews with generic causes but no specific troubleshooting guide. Opportunity for a detailed diagnosis post.
• “beginner sourdough recipe” is competitive but most results are long and intimidating. A genuinely beginner-friendly, step-by-step version with troubleshooting notes has room.

Content type mapped: All informational, all suit long-form blog posts or guides with photos.

Example 2: A Local Fitness Studio

Core topic cluster chosen: Beginner fitness and getting started

Raw keyword ideas generated:

• how to start working out
• beginner gym routine
• how many times a week should I exercise
• best exercises for beginners
• gym anxiety
• what to eat before a workout
• how long to see results from exercise
• working out at home vs gym
• HIIT vs weight training

After filtering:

• “gym anxiety tips” (informational, very low difficulty, emotionally resonant, specific audience)
• “how many days a week should a beginner exercise” (informational, low difficulty, high search volume, direct question format)
• “what to expect your first month at the gym” (informational, very low difficulty, excellent for a local studio blog targeting new members)
• “HIIT vs strength training for weight loss” (commercial investigation, medium difficulty, works well as a comparison post)

After checking AI search landscape:

• “gym anxiety tips” shows limited AI Overview coverage. Most results are generic listicles. A post written from the perspective of a studio that has helped nervous beginners has a genuine authority advantage.
• “how many days a week should a beginner exercise” triggers an AI Overview but the answer is vague. A post that gives specific programs for different goals (weight loss, muscle, general fitness) goes deeper and has a better chance of being cited.

Content type mapped: Mix of informational guides, a comparison post, and one local-intent post targeting new members.

Example 3: A Home Cleaning Service

Core topic cluster chosen: Home cleaning tips and advice

Raw keyword ideas generated:

• how to clean bathroom grout
• best way to clean oven
• how often should you clean your house
• cleaning schedule for busy people
• how to get rid of mold in bathroom
• natural cleaning products
• how to deep clean kitchen
• cleaning checklist
• house cleaning tips

After filtering:

• “how to clean bathroom grout” (informational, low difficulty, consistent high volume, very specific problem)
• “house cleaning schedule template” (informational/tool-based, low difficulty, people want a downloadable template)
• “how to get rid of bathroom mold” (informational, low difficulty, high intent, safety-relevant, frequently searched)
• “how often should you deep clean your house” (informational, very low difficulty, good for a short, direct post)

After checking AI search landscape:

• “how to clean bathroom grout” triggers AI Overviews but almost entirely with generic methods. A post that covers different grout types, different stain severities, and natural vs chemical solutions goes substantially deeper.
• “house cleaning schedule template” has low AI Overview presence. A post that includes an actual downloadable template or an interactive checklist is unlikely to be replaced by an AI answer.

Content type mapped: A mix of how-to guides and one tool-based post (the downloadable template), with a clear services CTA at the bottom of each post.

Common Keyword Research Mistakes to Avoid

Targeting only high-volume keywords

High volume usually means high competition. New sites with limited domain authority rarely break through on high-volume terms quickly. A new food blog targeting “chicken recipe” (millions of monthly searches) will not rank. The same blog targeting “one-pan chicken thighs for two people” (lower volume, very specific) has a realistic chance.

Ignoring long-tail keywords

Long-tail keywords (3 or more words, more specific queries) have lower volume individually but higher conversion rates and lower competition. They are also increasingly how people search in AI tools. A cluster of 10 well-targeted long-tail posts will often outperform one post targeting a single high-volume keyword.

Not checking intent before writing

A gym owner who writes a 2,000-word guide targeting “gym membership” will be disappointed when they check the search results and find every competing page is a local gym’s pricing page. The intent is transactional, not informational. Always check what is currently ranking for your keyword before you write a single word.

Keyword cannibalization

Publishing multiple pages targeting the same keyword causes your own pages to compete against each other. A pet store that publishes “best food for senior dogs,” “top dog food for older dogs,” and “senior dog nutrition guide” is splitting its authority across three pages that all want to rank for the same query. Consolidate into one strong post.

Treating keyword research as a one-time task

Search behavior evolves. A query that had no volume 18 months ago may be highly searched today because of a trend, a product launch, or a change in how people use AI tools. Revisit your keyword strategy every 3 to 6 months and look for new opportunities in your topic clusters.

Tools Worth Using for Keyword Research

Free:

• Google Search Console (your own site’s actual query data, irreplaceable)
• Google Keyword Planner (volume ranges and related keywords)
• Google autocomplete, People Also Ask, and Related Searches
• Ahrefs Webmaster Tools (free tier, limited but useful for backlink and keyword data)

Paid (worth the investment if you are publishing regularly):

• Mangools KWFinder: clean interface, clear difficulty scores, well suited to independent publishers and small business owners
• SE Ranking: strong all-in-one platform covering keyword research, rank tracking, competitor analysis, and site audits in one dashboard
• SEMrush: best for content gap analysis and understanding competitor keyword strategies at scale
• Ahrefs: the most comprehensive option for backlink analysis alongside keyword research

You do not need every tool. Start with the free options and add a paid tool when your publishing volume justifies the cost.

Keyword Research and GEO: The Connection

Traditional keyword research tells you what people search for on Google. GEO keyword research extends that to ask: what are people asking AI tools, and how do those questions map to content I can create?

The two are increasingly overlapping. People search Google and AI tools for the same underlying needs. The difference is the format of the query (shorter and structured in Google, longer and conversational in AI tools) and what the ideal response looks like (a well-ranked page for Google, a clearly structured and authoritative source for AI retrieval).

A parent searching “how to get a toddler to eat vegetables” on Google types exactly that. The same parent asking an AI tool phrases it as “my 3-year-old refuses to eat anything green and I’ve tried hiding it in food, what else can I do?” The intent is identical. The query format is not. Building your keyword strategy around topics and intent clusters, rather than just short keyword phrases, positions your content to perform in both environments.

Related: What is GEO? Generative Engine Optimization, Explained Simply

Related Guides in This Series

• SEO + GEO Complete Guide for Digital Marketers
• What is GEO? Generative Engine Optimization, Explained Simply
• How to Write Content That AI Cites
• On-Page SEO Checklist That Still Works
• How Search Intent Has Changed in the AI Era
• Measuring SEO vs. GEO: Tracking Visibility in 2026

Part of the SEO + GEO Guide series on MiinDigital. Need help building a keyword strategy for your site? Get in touch.

Published: April 2026 | Author: Minh Pham