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In practice
The journey’s structure is what makes link building a distribution channel rather than an SEO chore: it runs through a finite set of public surfaces — the review platforms, the “best tools” roundups, the alternatives pages, the community threads, the AI answers that synthesise all of them — and a buyer who never sees your name on any of them cannot shortlist you, whatever your site’s content says.
The stages map to placements: problem recognition takes educational surfaces (dev media, practitioner blogs, newsletters — guest posts and expertise content); shortlist formation takes the comparison layer (roundups and alternatives lists — insertions and mentions, the pages AI engines also cite); evaluation takes the trust layer (reviews, case studies, the docs and pricing pages links should point at); decision takes the corroboration layer (the consistency of what everyone says about the product — the entity work).
Two properties of modern tech buying sharpen the stakes: committee structure (a champion inside the company assembles the shortlist using the same public pages, so visibility reaches people who never attend your demo) and AI mediation (the answer engines compress the research phase — and they draw on the same shortlist surfaces, so presence there compounds). The planning consequence: the buyer journey, mined from sales calls, PAA and community threads, is the strategy document the placement plan hangs on — because “which pages do our buyers read before shortlisting” is the only question that orders a prospect list correctly.
See also: Buyer committees and multi-stakeholder content, Buyer research habits, Link building for SaaS.
