B2B SEO: the keyword strategy, content for every decision role, and measurement that counts leads instead of traffic

Traffic is the most common metric in SEO reports, and in B2B it is often the least interesting one. Ten "right" visitors can be worth more than a thousand "wrong" ones, and the difference between them does not show in a traffic curve. That shapes everything in B2B SEO: which keywords are worth chasing, who the content should be written for, and what counts as a result.

What is B2B SEO, and why is traffic the wrong metric?

B2B SEO is search engine optimisation for companies that sell to other companies. The goal is not maximum traffic but qualified leads: being visible for the searches a buying committee makes during its research, and having content that answers the questions that decide whether you make the shortlist of potential suppliers. Success is measured in sales opportunities, not visitors.

The reason lies in how B2B purchases are made: the groundwork for a decision is often done by several people with different questions, and most of the research happens before any of them gets in touch. Our guide to B2B marketing covers what that buying journey looks like and what it means for marketing as a whole. Here we stick to the SEO side: keywords, content and measurement.

How B2B SEO differs from regular SEO

The groundwork is the same as for any search engine optimisation. But three conditions change how it should be done:

• Low volume, high value. Many B2B keywords have low search volumes, but every search can represent a deal worth hundreds of thousands of SEK. Thinking in terms of volume is therefore a mistake; focus on inventive keyword analysis instead.
• Several readers per deal. The page that convinces the person responsible for the technical evaluation is also read by the person who owns the budget. The content has to work for several roles with different questions.
• Long cycle, sparse data. A handful of conversions a month is thin data to optimise on, and the effect of a better ranking only shows a full sales cycle later.

A concrete example of the first point, from Ahrefs search data: "b2b seo" has around 200 searches a month in Sweden, but advertisers pay around SEK 25 per click. The Swedish search "b2b seo byrå" (B2B SEO agency) has roughly 100 searches a month, at a cost per click of around SEK 45. When advertisers pay that much per click, it is evidence of buying intent: the person behind the search is expected to have a high probability of becoming a customer.

Map content to the buying committee's roles

A common content gap in Swedish B2B is that almost everything is written for a single imagined reader. In practice four roles search separately, with different questions, and anyone who does not find their answers on your website will find them on a competitor's.

• The budget owner searches for price, impact and risk: "what does it cost", comparisons, alternatives. The answer is transparent pricing pages and case studies with numbers.
• The technical evaluator searches for specifications and compatibility: comparisons between systems, integrations, documentation. The answer is comparison pages, integration pages and documentation that is open and indexable, not hidden behind forms.
• The end user searches for the day-to-day detail: how the workflows run, how hard it is to get started. The answer is guides, demo videos and screenshots that show what the work really looks like.
• Those who can stop the purchase (security, legal and procurement) search for GDPR, data processing, certifications and contract terms. The answer is dedicated pages on security and compliance. Without them, a purchase that is otherwise settled can be blocked late in the process.

You do not need a tool for the mapping. List the roles in your ten most recent deals, write down which questions each of them asked (the sales team knows), and compare them with the pages that actually exist on your website. The gaps are your content plan.

Keyword strategy: find the buying keywords behind the low volume

B2B keyword work starts from search intent, the intention a search signals, rather than from volume. A keyword with 30 searches a month and clear buying intent is worth more than one with 3,000 searches and no buying intent, because the narrow searches are where the evaluation is happening.

In practice, you find the buying keywords in four places:

• The questions sales and support already get. What customers ask in meetings, the next customer types into Google. The wording can often be used word for word in headings.
• The long, specific searches. Long tail keywords: someone searching for a specific integration between two named systems is further along in their evaluation than someone searching for the product category.
• Forums, communities and industry groups. In threads on LinkedIn, Reddit and industry forums, the audience describes its problems in its own words, often long before they turn into searches that show up in the tools. That language is raw material for both keywords and headings.
• Competitors' comparison and pricing pages. They show which searches others in your market think are worth capturing, and where a better answer could take their place.

That is what inventive keyword analysis means: more about research than volume data. Read the forum threads, go through sales calls and requests for quotes, and think in terms of personas: who is the person behind the search, and what do they need to know to move forward? A search made twice a month barely registers in any tool, but it can represent a deal worth a million SEK if the right person is searching. Keywords like that are often easy to rank for; the hard part is spotting that they deserve their own content. Our persona guide covers how to build personas that make this work more precise.

A B2B keyword analysis therefore puts intent and business value ahead of volume, and accepts that the best terms sometimes do not show up in the tools at all because they are too narrow. Our guide to SEO strategy describes how to turn those priorities into a plan with goals, clusters and owners.

The content that converts a buying committee

The role map shows what to build, and in what order:

• Comparisons and product pages for the evaluator. "X vs Y" pages, integration pages and open specifications capture searches late in the process, and they also become the material AI assistants cite when someone asks for a comparison.
• Proof for the budget owner. Case studies with verifiable numbers, named references and an honest pricing page. That is also the core of E-E-A-T: demonstrated experience carries more weight than claimed experience.
• Guides for those who are not ready to buy yet. Most of the market is not buying anything right now. Guides and deep dives (classic content marketing) build topical authority and make you a familiar name on the day the need arises.

The order matters. Many companies start at the other end and produce nothing but guides for the curious, while the pages that serve the actual buying decision are missing. Build the bottom of the funnel first: that is where searches with buying intent land, and those are the pages a buying committee passes around internally.

AEO for B2B: when the buying committee asks ChatGPT before it asks you

A growing share of B2B research now begins in an AI chat. According to G2's 2026 Buyer Behavior Report, 82 per cent of B2B software buyers have turned to an AI chat for software recommendations in the past 24 months, and according to Forrester's Buyers' Journey Survey, the share of B2B buyers who use AI in the purchasing process has grown to 94 per cent. At the same time, Gartner has found that 69 per cent of buyers turn to suppliers' sales reps to validate insights they got from AI. The pattern: AI starts the research and people confirm it. That makes the first impression (what the AI says about you) more important, not less.

For B2B content, AEO comes down to structure and openness:

• Answer directly under question-phrased headings. AI assistants pick out paragraphs that stand on their own (chunking). A direct answer of 40 to 60 words straight under the heading can be cited; a long preamble cannot.
• Publish what the evaluator needs, openly. Specifications, integrations, prices and security information that sit behind a login or a form do not exist as far as the AI is concerned.
• Mark up with structured data. Schema markup helps machines understand what the page actually describes.
• Describe yourselves consistently. Using the same words for what you do, and who for, on your website and in external profiles makes it easier for an AI to reproduce information about your brand and services correctly.

Our guide to AI SEO covers how AI search works in general (AI Overviews, which systems pull from where, and how visibility is measured). What matters here is why AEO rarely works as a stand-alone effort: a citable answer needs business understanding of what the buying committee needs to know, copy that can be quoted on its own, a strategy that has built authority in the subject, and technology that makes the content readable for machines. You can buy the parts one at a time, but the effect comes from the combination.

Measure SEO's contribution to pipeline, not traffic

If leads are the goal, your measurement has to reflect that. Three changes go a long way:

• Measure per page and search query. Track which organic pages appear in journeys that turn into deals. A page with 40 visits and two booked meetings is a better SEO investment than one with 4,000 visits and none.
• Track a basket of buying keywords. Pick the keywords with clear buying intent and follow their positions in Google Search Console (GSC). Rankings for buying keywords are an early signal; leads lag a whole sales cycle behind.
• Accept that attribution is incomplete. Long journeys with many touchpoints mean the last click rarely tells the whole story. Record the first known landing page and search query for inbound leads in your CRM, and evaluate the contribution quarter by quarter, not week by week. And remember to ask leads in meetings how they found you, and write it down.

Be honest about the timeline too. Rankings for low-competition keywords can move within a few months, but a B2B deal often takes longer than that to go from first search to signed contract, so the effect of SEO on pipeline shows up later than in a consumer business. Promises of "results within 1 to 3 months" assume either an unusually short sales cycle or that "results" has quietly been redefined as traffic.

B2B SEO agency or in-house team: how do you choose?

The choice comes down to three things: skills, time and business value per search. If you have a marketer with SEO experience and a handful of priority keywords, you can do a lot in-house; the framework in this guide will take you a long way. A B2B SEO agency makes sense when nobody in-house owns the work, when you need the whole chain (keyword analysis, content, technology and measurement), or when a lost deal is worth many times the agency fee.

Hold an agency to the same standard as your own measurement: how is the work tied to leads and pipeline, not just rankings? Our guide to what an SEO agency costs covers what a reasonable investment looks like and which types of contract are available. Our SEO service page shows how we work with B2B companies.

Getting started with B2B SEO

A sensible order to start in:

• 1. Collect the buying committee's questions. Sales and support hear them every week; list the questions by role before anything is written.
• 2. Run a keyword analysis weighted towards intent. Check the questions against search data and/or the questions raised in forums, but let buying intent count for more than volume.
• 3. Map the gaps. Compare the question list with your existing pages. What is missing becomes your content plan.
• 4. Build the pages that answer. Direct, open and structured for both Google and AI assistants, with the technical SEO foundation in place.
• 5. Set up the measurement before you start. Decide how leads are tied to organic pages before the content is published, not afterwards.

If you want help with the whole chain, from keyword analysis to role-based content and measurement, that is exactly what we do in our SEO service.