Does AI search visibility actually matter for office and workplace suppliers?+
Yes, because procurement questions combine specification, budget and account terms, and buyers want all three answered before contact. Those questions are increasingly asked of an assistant first, and the shortlist that comes back is the shortlist that gets contacted. Procurement shortlists formed in an assistant conversation rarely get revisited later.
What is the single most common problem you find in this category?+
Trade terms, warranty detail and load specifications are unstated, so procurement teams cannot qualify the supplier. It is usually fixable within a few weeks because the underlying data already exists internally; it simply is not published in a form a machine can read.
Which attributes matter most here?+
Specification and load ratings, warranty terms, account and billing options, bulk pricing, delivery and installation. Those are the dimensions buyers state when they ask, so those are the dimensions an assistant matches against.
What kind of third-party signals help in office and workplace suppliers?+
Business review platforms, framework listings and published contract wins provide corroboration. We prioritise those specific sources rather than chasing generic link volume, because relevance and verifiability matter far more than count in AI retrieval.
How is this different from ordinary SEO?+
It shares the technical foundations — crawlability, rendering, structure — but the target changes. Classic SEO competes for a position in a list; this competes to be the source a model paraphrases, which rewards explicit data, honest qualifiers and independent corroboration.
How quickly do we see movement, and what does it cost?+
Long-tail and comparison questions typically shift in 30–90 days once the data and pages ship. The forensic audit is $4,500 and ongoing engagements are scoped per brand. Implement our 90-day plan and if you do not see movement in 3–6 months, we refund our fees in full.