GEO strategy for B2B

A GEO strategy for B2B is an approach to visibility in generative search engines adapted to the long purchase cycle and to decision-making involving several people at once. It differs from consumer sales to such an extent that adopting standard recommendations leads to work that brings in no demand. The starting point is understanding where the decision-making takes place. In B2B, the shortlist of suppliers is drawn up long before the first contact. By the time someone reaches out to you, they have already been through several conversations with an assistant, compared the options, asked for a summary of the differences, and formed an idea of what is standard and what is the exception. If you are not mentioned at this stage, you will not make the shortlist, and you will never find out, because no trace of it will be left in your analytics. The first pillar of the strategy is therefore mapping the decision-making unit. In B2B, it is not one person asking the questions – the managing director asks about return on investment and risk, the specialist about technical parameters and integrations, procurement about price, terms and references. Each of these roles has its own set of questions, and each requires its own passages. Content aimed at only one role, usually the technical one, leaves the remaining questions to the competition. The second pillar is coverage of the selection criteria. When comparing options, the assistant needs criteria by which to rank them – scope of service, minimum order size, industries served, availability, mode of cooperation, implementation time, termination conditions. If this information is not on the website, the model will either guess it, or place you where you do not belong. Stating limitations is not a drawback here: negative definition increases the quality of inbound enquiries and, at the same time, gives the model a clear reason to recommend you where you fit. The third pillar is proof. In B2B, verifiability matters more than phrasing. Case studies with figures, specific client industries and sizes, named people and their expertise, certifications and memberships – these are all elements that the system will find and use when verifying a claim. Anonymous references and generic claims of quality fail at this task. The fourth pillar is external sources. B2B decision-making relies on industry portals, sector overviews, supplier directories, discussion forums and professional networks. The model builds its picture of a supplier from the consensus of these sources, so the website alone is not enough. A practical measure is regular digital PR, publishing expert commentary, and getting the company listed in relevant directories with correctly stated details. The fifth pillar is measurement adapted to the long cycle. Traffic from assistants tends to be small but its value high, so evaluating by visit count leads to the wrong conclusion. Measure the share of answers in which you are mentioned across a fixed set of questions by role, the comparison against competitors, and whether the customer already knows the company at the first point of contact. You obtain this last piece of information most cheaply by having your salespeople ask new enquiries where they heard about you. With limited capacity, the order of work is clear: first the limitations and terms of cooperation, then answers to procurement and risk questions, and only after that technical depth. Most B2B companies do exactly the opposite. Pricing information deserves special attention. B2B companies commonly do not publish it, on the grounds that every order is individual. When an assistant makes a comparison, however, this means the system will either leave you out or fill in an estimate that may not match reality. The solution is not an exact price list but an indicative range, the minimum scope of cooperation, and clearly named factors that make up the price. Companies that take this step report fewer enquiries but higher quality among those that do come in. Stating delivery times and capacity works in a similar way: information that the next available slot is in two months will put off the impatient and attract those who plan ahead. The final layer is working with existing clients, who are the strongest source of proof in B2B. A case study published on a partner's website or an industry association's website carries more weight during verification than the same study on your own website.

See also: Conversational funnel, Negative definition in content, Social media in B2B.