B2B marketing: the buying journey, lead quality and the channels that decide before the first meeting

B2B has an uncomfortable truth: by the time a potential customer gets in touch, much of the decision has already been made. The list of requirements is written, the alternatives have been narrowed down, and you are either still on the list or have been quietly ruled out. That is why modern B2B marketing is less about chasing leads and more about influencing the research that happens before anyone gets in touch.

What is B2B marketing?

B2B marketing is marketing by businesses to other businesses, as opposed to B2C, which targets consumers. The difference lies not in the channels but in the mechanics: more people are involved in the decision, the sales cycle is longer and each deal is worth more. This article focuses on those mechanics. Our guide to digital strategy explains how to build the plan for channels and content, and our guide to marketing strategy how it ties in with business goals and positioning.

What the B2B buying journey looks like today: the buying committee and the research nobody sees

A B2B purchase is rarely made by one person. The decision is made by a buying committee: someone owns the budget, someone evaluates the technology, someone will use the solution day to day, and someone can stop everything with an objection about security, legal or procurement policy. The members do their research separately, compare notes internally, and most of the work happens without the suppliers knowing.

The figures speak for themselves. According to Gartner, B2B buyers spend only 17% of their buying time meeting suppliers, and when the committee is comparing several suppliers, any one sales rep gets just 5 to 6% of that time. According to 6sense, around 60% of the buying journey is independent research done before the buyer contacts a supplier. That is slightly down from 70 per cent in previous years, because buyers now get in touch a little earlier. And in a Gartner survey from March 2026, 67% of B2B buyers said they would prefer a buying experience with no sales reps at all.

The invisible part of the journey is usually called the dark funnel: research in channels that leave no trace in your web analytics, such as recommendations between colleagues, discussions in Slack groups and industry forums, podcasts, saved articles and AI chats. The consequence is uncomfortable but important: you cannot buy your way out of a dark funnel problem with an advertising budget. A buying committee that has already quietly ruled you out will not be won back by retargeting ads.

Then there is timing. In an analysis commissioned by LinkedIn's B2B Institute, Professor John Dawes of the Ehrenberg-Bass Institute showed that only around 5% of potential buyers in a B2B market are actively ready to buy at any given time. This is known as the 95:5 rule. The other 95 per cent are not buying now, but they are forming views about which suppliers exist and which seem to know their stuff. Those views decide whether you make the final evaluation on the day the need arises and the purchase is made.

Why AI assistants are now part of the buying journey

The buying committee no longer does its research only on Google. Evaluators ask ChatGPT, Claude and Gemini to compare suppliers, summarise pros and cons and suggest a shortlist. That changes the rules in a way many B2B companies have yet to take on board: an AI assistant that lacks information about you rarely answers "don't know"; it usually answers "no". If someone asks whether your platform meets a particular requirement and the answer is not published, in a structured form, on your website, the AI may well answer in the negative. You lose the deal without ever knowing the question was asked.

That is the job of AEO: making sure AI assistants describe your product correctly and cite you when the buying committee asks. The signals that steer what the AI says can be measured. An Ahrefs analysis of 75,000 brands shows that web mentions of a brand correlate at 0.664 (Spearman) with how often the brand appears in AI Overviews, a much stronger correlation than for backlinks (0.218) or domain rating (0.326). One caveat: the sample consisted of established domains (DR above 40, at least 800 brand searches a month), so the relationship is best supported for brands that already have some presence.

Traffic from AI assistants is still small, but it converts. When Ahrefs analysed its own visitor data, AI search visitors accounted for 0.5% of visits but 12.1% of sign-ups, a conversion rate 23 times higher than organic search. That is a single data point from a SaaS company with a tech-savvy audience, not a general truth. But the logic holds up: someone who arrives from an AI answer has often already had the comparison done for them.

Lead quality beats lead volume

B2C campaign logic (broad reach, cheap clicks, volume optimisation) is the wrong model when deals are few, large and slow. Advertising optimised for the cheapest possible leads fills the CRM with contacts the sales team cannot use, and ROAS measured per campaign says little when the deal closes nine months after the first click.

The right question is not "how many leads did we get?" but "how many of the right accounts moved forward?". In practice that means defining your ideal customer profile, qualifying hard and accepting fewer but better leads. The same logic applies to the website: CRO in B2B is less about squeezing out more form submissions and more about helping the right visitors quickly find proof, prices and answers to the buying committee's questions. A high conversion rate among the wrong audience is an expensive way of looking productive.

Content and topical authority: being visible before the buyer is ready to talk

If 95% of the market is not ready to buy today, the strategic question becomes: what will they find when they are? This is where content marketing does what ads cannot. Guides, comparisons and honest answers to the buyer's questions build topical authority, so that both Google and AI assistants see you as a natural source in your field. It is also the most durable way to build a digital presence: the content keeps working throughout the long period when the buyer is researching without talking to anyone.

B2B SEO differs from consumer SEO above all in one respect: search volumes are small, but the value per visitor is high. A hundred searches a month can represent a pipeline worth millions. SEO strategy 2026 explains how to prioritise and build that structure, and our guide to organic marketing how content, search and brand work together over time.

LinkedIn and ABM: meet the buying committee where it is

LinkedIn is the leading B2B channel for a simple reason: it is the only platform where you can reach specific roles at specific companies. But "we should be visible on LinkedIn" is not a plan. The plan starts with the buying committee's roles, because they need different things:

• The decision-maker (the budget owner) needs a business case: risk, cost, impact. Short, concrete, preferably with numbers.
• The technical evaluator needs documentation, integrations and honest answers to "can you do X?". Depth beats a polished surface.
• The end user needs to see what day-to-day work will look like: demos, screenshots, concrete workflows.

ABM (account-based marketing) is the same idea applied systematically: instead of marketing broadly, you pick the accounts that match your ideal customer profile and work on the whole buying committee at each one, with content for each role and with sales and marketing coordinated around the same account list. For most small and medium-sized B2B companies it need not be more advanced than that: a named list, content tailored to each role, and patience.

Measure the right things over a long sales cycle

The most common measurement trap in B2B is optimising for what is easy to count. MQL volume and cost per lead can be reported every week, but they say nothing about deals that close in six months, and nothing at all about the research in the dark funnel. Last-click attribution also systematically gives the wrong picture when the journey spans months and many touchpoints.

Data-driven marketing in B2B means choosing metrics that reflect the business:

• Pipeline contribution: how much pipeline value can be tied to marketing, not just the number of leads.
• Qualified sales opportunities (SQL): does the sales team accept what is handed over?
• Self-reported attribution: asking "how did you hear about us?" in the form captures podcasts, recommendations and AI answers that no tracking picks up.
• Brand searches: if more people search for your name over time, it is one of the most honest signs that your work on the other 95 per cent is paying off.

The combination is the point

The thread running through this article: B2B buyers do their research long before they get in touch, on Google and now in AI assistants, and that is where the shortlist of suppliers is drawn up. No single discipline solves that. Strong visibility in both search and AI answers comes from the combination: strategy, copywriting, business understanding and technology. Technology alone gives no citable answers; copy alone does not structure content for machines.

Want to know how your website and content hold up in the research you never see? Get in touch and we will happily start with a review of how you show up in search and AI answers today.