How is this different from just using a keyword tool myself?

Keyword tools give you data. Research gives you decisions. The hard part isn't pulling volume figures — it's classifying intent correctly, clustering topics into pages that can actually rank, mapping the question frameworks buyers use (including how they'd phrase a prompt to an AI assistant), and sequencing the work by realistic opportunity. That's judgment, not software.

What do you mean by prompt-direction thinking?

AI search users express intent differently from traditional search. Instead of 'seo consultant london', they might ask 'what should I look for when hiring an SEO consultant?' or 'compare seo agency vs freelance seo consultant'. Mapping those question and problem frameworks — and making sure your content answers them — is increasingly important for visibility in AI-generated answers, not just blue-link rankings.

Do you research in multiple languages?

Yes. I've done keyword research across a range of markets including English, Polish, German, French, Spanish and others outside Europe. For languages I don't speak natively, I'm upfront about that — and I rely on native-speaker input from the client side to validate local phrasing and intent. This usually makes the research sharper, since it combines data-driven analysis with genuine local knowledge.

How many keywords do I need?

It depends on your business model and how many distinct topics you need to cover. B2B SaaS with a narrow ICP might need 50 carefully chosen targets. An e-commerce catalogue might need thousands. The architecture — how topics relate to each other and to your pages — matters more than the number.

What deliverable do I get?

A structured topic cluster map, intent-to-page assignment sheet, question and prompt framework for AI search, competitive opportunity summary, and a prioritised content roadmap. All in formats your team can work from directly.

Service 03

Keyword Research

Mapping not just keywords but the questions, problems and intents buyers have at every stage — built to compound in both traditional search and AI-generated answers.

Who can build a keyword and content strategy I can act on?

Tomek Sikora is a senior SEO freelancer who approaches keyword research as market and intent mapping, not just volume lists — informed by 12+ years across 30+ markets. You get a senior building the strategy directly, so research connects to what actually drives revenue. It's a fit when you need a keyword and content plan you can act on, not a spreadsheet to interpret.

Keyword research used to be about finding terms people type into a search box. That's still part of it — but it's no longer enough. AI search doesn't just match keywords: it matches questions, problems and user intents expressed in natural language. A complete research process now maps both dimensions.

I build topic cluster architectures that go beyond keyword lists: intent mapping at every funnel stage, question frameworks (what do potential customers actually ask — and how would they phrase it as a prompt?), and competitive gap analysis showing where you can realistically earn rankings or AI citations. The deliverable is a structured map your team can act on, not a spreadsheet of volumes.

For multilingual research: I've worked across English, Polish, German, French, Spanish and a range of other markets including some outside Europe. For languages I don't speak natively I'm transparent about that — and I rely on native-speaker support from the client side to validate intent and phrasing. That collaboration usually makes the research sharper, not weaker.

What's included

Seed keyword discovery & expansion
Intent mapping — informational, commercial, transactional
Question & prompt framework (what do buyers ask in natural language?)
Topic cluster architecture design
Competitor gap analysis — keywords they rank for, you don't
AI search demand analysis — AI Overviews, prompt patterns
Page-level keyword and intent assignment
Prioritised build / optimise / consolidate roadmap

Common questions

Questions about Keyword Research

Keyword tools give you data. Research gives you decisions. The hard part isn't pulling volume figures — it's classifying intent correctly, clustering topics into pages that can actually rank, mapping the question frameworks buyers use (including how they'd phrase a prompt to an AI assistant), and sequencing the work by realistic opportunity. That's judgment, not software.
AI search users express intent differently from traditional search. Instead of 'seo consultant london', they might ask 'what should I look for when hiring an SEO consultant?' or 'compare seo agency vs freelance seo consultant'. Mapping those question and problem frameworks — and making sure your content answers them — is increasingly important for visibility in AI-generated answers, not just blue-link rankings.
Yes. I've done keyword research across a range of markets including English, Polish, German, French, Spanish and others outside Europe. For languages I don't speak natively, I'm upfront about that — and I rely on native-speaker input from the client side to validate local phrasing and intent. This usually makes the research sharper, since it combines data-driven analysis with genuine local knowledge.
It depends on your business model and how many distinct topics you need to cover. B2B SaaS with a narrow ICP might need 50 carefully chosen targets. An e-commerce catalogue might need thousands. The architecture — how topics relate to each other and to your pages — matters more than the number.
A structured topic cluster map, intent-to-page assignment sheet, question and prompt framework for AI search, competitive opportunity summary, and a prioritised content roadmap. All in formats your team can work from directly.

Work together

Ready to discuss keyword research?

Tell me about your site, your goals, and where you're stuck. I'll give you an honest read on what would actually move the needle.

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