Video summary
Keyword Research for 2026: 3-Step Tutorial To Research Like A Pro
Main summary
Key takeaways
Main ideas, concepts, and lessons
Goal of the process (SEO)
- Proper keyword research helps get your content in front of the right customers.
- The video’s promise: a simple, 3-step workflow that saves time while finding high-potential website topics.
3-Step Keyword Research Tutorial (detailed methodology)
Step 1: Gather keyword ideas (build a large candidate pool)
Use “proven ways” to uncover keyword opportunities, either singly or combined:
-
Brainstorm keyword ideas
- Open Ahrefs Keywords Explorer.
- Start with a seed keyword (broad term your customers type into Google).
- Example: a hypothetical coffee equipment supplier using the seed term “coffee.”
- Optional: use AI to suggest additional seed keywords related to the niche.
- Expand the list using Matching terms to generate thousands of keyword ideas.
- Narrow later by:
- Selecting promising keywords manually, or
- Batch selecting keywords and adding them to a new keyword list.
-
Check keywords your site already ranks for
- Open Ahrefs Site Explorer for your domain.
- Go to the Organic keywords report.
- Look for keywords that recently dropped in rankings (example: “best coffee maker with grinder”).
- Open the keyword to the Keyword overview.
- Use:
- Questions to find additional related questions
- Also rank for and Also talk about to find related terms that top pages cover
- Add promising keywords to your list to regain or improve rankings.
-
Spy on competitor keyword opportunities (content gap)
- Use Ahrefs competitive analysis tool (content gap analysis).
- Paste:
- Your site at the top
- Competitors below
- Result: keywords where competitors rank in the top 10, but you’re not in the top 100.
- Suggested tactic:
- Sort by Traffic to prioritize keywords that actually drive visitors.
- Example: “niche zero grinder” ranking consistently (position ~6) → added to the list.
-
Look at competitor Google Ads (paid keywords)
- In Ahrefs Explorer, go to the Paid keywords report for a competitor domain.
- Logic: if competitors pay for keywords, they’re likely profitable.
- How to choose:
- Sort by CPC (Cost Per Click) to find high-value keywords (higher CPC = more valuable)
- Check paid/organic ratio to gauge competition between ads vs. organic results
- Example: Beanbox Coffee
- Pays for ads
- Ranks organically on position 1 with a knowledge panel
- → interpreted as strong conversion potential → add keyword to list.
Step 2: Filter keywords using keyword metrics (find what you can win)
Once you have many keywords, narrow down based on metrics—especially those that fit early/mid buying stages.
-
Use Search Intent
- Search intent = the reason behind a search query.
- Four categories:
- Informational
- Navigational
- Commercial
- Transactional
- Funnel mapping:
- Top funnel: informational (e.g., “how to make coffee at home”)
- Mid funnel: commercial (e.g., “Breville espresso machine” vs “Delonghi”)
- Bottom funnel: transactional (e.g., “buy Breville espresso machine”)
- Recommendation:
- Target top and middle of the funnel first using informational and navigational filters.
- Example workflow in SERP/intents:
- Search for a keyword (e.g., “cold brew coffee”)
- Review top results and identify intents to see intent types and traffic percentages
- Use the intent mix to decide whether to write:
- A focused article, or
- A comprehensive article covering multiple angles so one page can rank for multiple related queries
-
Use Search Volume + Keyword Difficulty (KD) together
- Search volume: monthly searches
- Keyword difficulty (KD): how hard it is to rank
- Target “low-hanging fruit”:
- decent volume
- lower competition
- Example preset approach in the tool:
- Choose preset: “high volume, low competition”
- Applies thresholds such as:
- search volume ≥ 500
- KD up to 10
- Outcome example: hundreds of keywords that are easier to rank and still bring steady traffic.
-
Use Growth rate (and forecast) to catch emerging demand
- Search volume is an annual average, which may hide trending changes.
- Better approach:
- Sort by growth rate (past 12 months) to find trending keywords now.
- Metrics described:
- Growth A: change in search volume over past 12 months
- Growth forecast: predicted popularity in the next 12 months
- Strategy:
- Target emerging models/queries before they become mainstream.
-
Add a competitiveness filter based on domain authority (DR)
- Key lesson: “choosing your battles”
- Avoid keywords dominated by sites with much higher authority than you.
- Use DR (domain rating) as the authority measure.
- Example filtering tactic:
- Filter for lowest DR
- Target keywords where sites with DR around ~30 rank in the top five
- Example provided: “Espresso versus Americano”
- multiple top-10 results include websites with DR below 30
- → interpreted as feasible for similar sites.
Step 3: Cluster keywords by topics (turn many keywords into fewer pages)
-
Keyword clustering definition
- Group keywords with similar search intent.
- Advantage: you can target multiple related keywords with one page rather than many.
-
Why clustering matters
- Helps deepen topical authority
- Positions your brand as a subject matter expert
- Can improve rankings and visibility for related keywords.
-
Clustering tools and approaches (as described)
- In Ahrefs:
- Use clusters by parent topic to group keywords based on SER similarity
- Review a tree map:
- larger rectangles = higher search volume
- includes ROI-related metrics:
- global search volume
- traffic potential (traffic if ranking #1)
- Note: traffic potential is presented as better than raw search volume because it reflects visit value from ranking.
- To inspect a cluster:
- Click the carrot to view the keywords within.
- In Ahrefs:
-
SER similarity test to decide one page vs separate pages
- If unsure whether two keywords should be on one page:
- Search one keyword (example: “whipped coffee”)
- Open SER overview
- Use compare with and enter the other keyword (example: “Dalona coffee”)
- Apply SER similarity comparison:
- Low similarity score → target separately
- High similarity score → cluster together
- Medium similarity → make an educated guess
- If unsure whether two keywords should be on one page:
Key takeaways / workflow mindset
- Collect many keyword ideas first, then narrow them aggressively using intent, volume, difficulty, growth, and authority fit.
- Cluster keywords by intent/topic to reduce the number of pages and strengthen topical authority.
- Recommendation: repeat this keyword research workflow every 3 to 6 months.
- Next step mentioned (but not detailed in subtitles): turn keyword clusters into high-ranking content (watch the next video).
Speakers / sources featured
Speaker
- The video creator / narrator (unnamed speaker; referenced with “I’ll show,” “we’ll,” “I’d recommend”)
Tools / platforms referenced
- Ahrefs Keywords Explorer
- Ahrefs Site Explorer
- Ahrefs competitive analysis tool (content gap analysis)
- Ahrefs Explorer (paid keywords report)
- Google Search results / SERPs (implied via examples and intent checking)
- ATFs / DR (domain rating concept within Ahrefs; no separate source named)
Example brands / entities mentioned
- Beanbox Coffee
- Niche Zero (grinder example)
- Breville (brand comparison referenced; subtitle text suggests a minor error)
- Delonghi (subtitle indicates a minor formatting/reading error)
- Espresso versus Americano (keyword example)
Named human experts
- No other named human experts are introduced in the subtitles.