+1,288%conversions from organic search
Contractbook
A dictionary, a template archive and a blog, each aimed at a different search intent. In one year organic traffic grew 482% and the main conversions 1,288%.
Keyword analysis
What a keyword analysis is
A keyword analysis should end as a plan you can act on. We map demand, search intent, competition and commercial value, then tie it to the pages and topics that can move your business in classic search and in AI answers. It works on its own, or as a core deliverable in a Baseline.
You get one shared picture across marketing, content and management: what is a real opportunity, what is noise, and where the effort belongs first.
The output is a working document. It drives briefs, topic clusters and the first sprints, so the analysis turns into visible progress instead of a report nobody opens again.
Why it mattersBook a call
Without a sharp analysis you are guessing. With one you know where the growth sits.
Most companies have plenty of search data and too little clarity. Big volumes pull attention, while the searches that actually convert, or where you have a realistic shot at winning, go unnoticed.
At the same time AI answers change how people find things. Ranking for a keyword is no longer the whole job. You need to understand the intent behind the question, which entities get named, and which content becomes the source the answer is built on.
How we run the analysis
From data to priorities, with the guesswork taken out.
We start with demand in classic search and in AI answers: what people ask, which intents sit behind the questions, and where you already have coverage or an obvious gap.
Then we weigh competition, realistic chance of winning and commercial value. Not every search is worth the same, and not every search is worth chasing right now.
Last we rank by opportunity against effort. You end up with an SEO backlog you can execute: what to win first, what can wait, and how the content should be shaped to match the intent.
What you get in hand
A map of your market: which questions get asked, what intent sits behind them (information, research or purchase), and where the demand sits in the search engines and in AI answers.
When it pays off most
The natural starting point before new content, a new strategy, or when the effort is scattered.
You are putting a Baseline in place, shifting focus or scaling content, and you need one shared picture of what deserves the investment.
You already publish steadily, but visibility does not follow. That usually comes down to priorities and the intent behind the articles, rarely to volume.
What we look at in the analysis
Demand and search volume are only the starting point. We split volume by intent, from information seeking through commercial research to purchase-ready queries, so you are not building content off the wrong signal.
Your current coverage shows where you are already close. Pages sitting in the middle of page one, thin clusters and URLs cannibalizing each other are usually faster wins than brand new topics.
Competitors set the bar: content depth, entity coverage, internal linking and authority. We use that to land on a realistic ambition instead of copying their sitemap page for page.
In AI answers we look at which questions come up, which sources get cited, and where you can become the preferred reference alongside a classic ranking.
Finally we filter by business: which searches sit closest to revenue, lead quality or strategically important categories. That lens is what makes the priority list sharp enough to execute.
A typical prioritized slice looks like this: (1) category searches with high purchase intent where you already sit on page one but lack depth, (2) comparison searches where competitors own the AI answers, (3) informational topics that build topical authority before the next sprint. That kind of clarity sits behind many of the results in our cases.
Next step
A plan you can execute, not another keyword list.
Book a call about scopeFrequently asked questions
A search landscape mapped by intent, a prioritized keyword and topic map, and an action plan for content. Ready for briefs, clusters and the first sprints.
Either works. It can be a standalone deliverable, or a core part of Baseline where it sits alongside technical status and visibility analysis. We help you pick the right frame for where you are.
Both, with equal weight. We look at demand and visibility in classic search, and at which questions and entities show up in AI answers, so the plan covers Google and the assistants alike.
Usually 2 to 4 weeks, depending on how broad the market is, how many languages are involved and what you have in place today. Scope is agreed up front, so you know what you get and when you can start executing.
Yes. We work across the Nordics, the rest of Europe and the US from our three Nordic offices. Multilingual markets with hard competition are our everyday, and that translates well to most other markets. Languages and markets are agreed as part of the scope.
Access to Search Console and Analytics if you have them, a short brief on business goals and priorities, and any keyword lists or content plans you already use. We pull the rest from data and from your competitors.
Then it becomes the starting point and we stress-test it. We strip out the noise, attach intent and commercial value, and turn the list into something you can execute against.
Related cases
Keywords that turned into rankings.
This is what it looks like when the right keywords get prioritized first. Three partnerships where the keyword work can be read straight off page one of Google.
+331%page 1 rankings on GoogleTiimo
Six months of E-E-A-T work took Tiimo from 188 to 812 keywords on page one of Google, and organic traffic grew 442% with it.
+171%organic keywords on page 1 of GooglePleo
Five markets, one scalable content framework built on topic clusters. Pleo's organic keywords in positions 1-3 grew 418% and organic traffic value 229%.
Get a clear view of your potential
An informal analysis of your domain. Classic search and AI-search.
Free SEO analysisBased on experience from more than 3,000 analyses and 1,000+ companies