The request is just the tip of the ice­berg: Long befo­re your sales depart­ment comes into play, digi­tal rese­arch, cus­to­mer tes­ti­mo­ni­als, refe­ren­ces, and AI will deter­mi­ne whe­ther your com­pa­ny will even end up on the short­list. Becau­se this pro­cess remains invi­si­ble, a blind spot is crea­ted that threa­tens their exis­tence – and many only noti­ce it when the requests fail to materialize.

📋 Conclusion

The chan­ge in shop­ping beha­viour has long sin­ce cea­sed to be a pure B2C phe­no­me­non. In B2B , too, decis­i­on-makers, spe­cia­list depart­ments and purcha­sing now con­duct inde­pen­dent rese­arch, compa­re pro­vi­ders digi­tal­ly and are incre­asing­ly sup­port­ed by AI sys­tems in the pre-sel­ec­tion pro­cess – long befo­re per­so­nal cont­act is estab­lished. As a result, your com­pa­ny can exit the pro­cu­re­ment pro­cess befo­re your sales depart­ment even lear­ns about an inquiry. This artic­le shows why the inquiry is just the tip of the ice­berg, how AI is acce­le­ra­ting this chan­ge, and why the invi­si­ble part of the purcha­sing pro­cess is beco­ming a blind spot – and how to reco­gni­ze it and actively use it for your future. 

⏱️ Rea­ding time: approx. 6 minutes

Many com­pa­nies are won­de­ring why fewer and fewer inqui­ries are coming in. Then sales acti­vi­ties are increased, cam­paigns are laun­ched or pro­ces­ses are opti­mi­zed. But the actu­al cau­se often lies much earlier.

Befo­re a poten­ti­al cus­to­mer makes cont­act, an exten­si­ve sel­ec­tion pro­cess has long been under­way – usual­ly com­ple­te­ly invi­si­ble to the pro­vi­der. Decis­i­on-makers, spe­cia­list depart­ments and purcha­sing con­duct inde­pen­dent rese­arch, compa­re solu­ti­ons, check refe­ren­ces and are incre­asing­ly being sup­port­ed by AI sys­tems in pre-selection.

What sales sees in the end is just the tip of the ice­berg: the few com­pa­nies that have made it through this pro­cess and are actual­ly approa­ched. Ever­yo­ne else may never know that they have alre­a­dy been sor­ted out.

This is pre­cis­e­ly the blind spot that threa­tens the exis­tence of many com­pa­nies: they eva­lua­te their sales on the basis of visi­ble inqui­ries, con­ver­sa­ti­ons and offers. What they don’t see are all the poten­ti­al cus­to­mers for whom they were not found befo­re, not cor­rect­ly clas­si­fied or not rated as trust­wor­t­hy enough.

As long as com­pa­nies do not reco­gni­ze this blind spot, they can neither prepa­re for the chan­ge nor pro­tect them­sel­ves from it. They react to the visi­ble sym­ptoms, while the actu­al cau­se con­ti­nues to have an effect below the surface.

This blind spot can lead com­pa­nies to ruin if they igno­re it and con­ti­nue to streng­then their pre­vious mea­su­res wit­hout reco­gni­zing the true cau­se. But it can also beco­me a gre­at oppor­tu­ni­ty for the future: If you under­stand how the new B2B purcha­sing pro­cess real­ly works, you can beco­me visi­ble, rele­vant and con­vin­cing exact­ly whe­re decis­i­ons are incre­asing­ly being pre­pared today.

The big mistake: This only applies to B2C

When it comes to chan­ging buy­ing beha­vi­or, many peo­p­le first think of online shops, com­pa­ri­son por­tals, Goog­le reviews or social media – an image cle­ar­ly assi­gned to B2C. In B2B, accor­ding to the wide­spread assump­ti­on, dif­fe­rent laws con­ti­nue to app­ly: per­so­nal rela­ti­onships, recom­men­da­ti­ons, ten­ders, trade fairs and a sales depart­ment that knows the cus­to­mers for years.

Howe­ver, this sepa­ra­ti­on no lon­ger works. The peo­p­le who deci­de on invest­ments in B2B have long been accus­to­med to digi­tal rese­arch, eva­lua­tions and quick com­pa­ri­sons in their pri­va­te lives – and do not shed the­se habits as soon as they enter the office. They are incre­asing­ly trans­fer­ring it to their pro­fes­sio­nal decisions.

Per­so­nal rela­ti­onships remain important and are often decisi­ve in the end. Howe­ver, the decisi­ve fac­tor is when they come into play: no lon­ger at the begin­ning, but often only after an exten­si­ve digi­tal pre-sel­ec­tion. If you don’t show up at this ear­ly stage, you won’t even be eli­gi­ble for a per­so­nal interview.

What e‑commerce teaches us about underestimation

Tech­no­lo­gi­cal uphe­avals were almost always unde­re­sti­ma­ted in the begin­ning. The Inter­net and e‑commerce were also con­side­red tem­po­ra­ry phe­no­me­na for a long time. The result is well known: enti­re indus­tries and dis­tri­bu­ti­on chan­nels have been fun­da­men­tal­ly chan­ged. Com­pa­nies that reac­ted too late lost mar­ket share or dis­ap­peared – while at the same time new mar­kets and some of today’s lar­gest cor­po­ra­ti­ons emer­ged, from Ama­zon to Goog­le and Meta to Ali­baba, Sales­force or Shopify.

The decisi­ve fac­tor was never the tech­no­lo­gy alo­ne, but its effect on peo­p­le’s beha­vi­or – on how they search, compa­re, deci­de and buy. It is pre­cis­e­ly at such a thres­hold that we stand again today. This time, the deve­lo­p­ment is being fur­ther acce­le­ra­ted by arti­fi­ci­al intel­li­gence, at a pace that signi­fi­cant­ly exceeds pre­vious upheavals.

The invisible part of the purchasing process

This is whe­re the image of the ice­berg helps. Abo­ve the sur­face of the water, the pro­vi­der sees what he has always seen: the inquiry, the initi­al mee­ting, a ten­der or the invi­ta­ti­on to sub­mit an offer. The thin­king of many sales orga­niza­ti­ons is based on this visi­ble top.

Beneath the sur­face, howe­ver, a lot has alre­a­dy hap­pen­ed at this point: a need has been iden­ti­fied, infor­ma­ti­on has been coll­ec­ted, solu­ti­ons have been exami­ned, pro­vi­ders have been rese­ar­ched and com­pared, web­sites, refe­ren­ces and cus­to­mer tes­ti­mo­ni­als have been eva­lua­ted. This resul­ted in a long­list and final­ly a much smal­ler short­list. Only then are indi­vi­du­al pro­vi­ders cont­ac­ted at all.

ComCare 360 GmbH - B2B purchasing is changing radically – and most companies don't see the danger - 2
The cen­tral insight is as simp­le as it is uncom­for­ta­ble: a com­pa­ny can lose a con­tract that it never knew existed.

Many participants, many perspectives

B2B purcha­sing decis­i­ons are rare­ly made by a sin­gle per­son. Depen­ding on the scope, manage­ment, spe­cia­list depart­ments, purcha­sing, IT, data pro­tec­tion, con­trol­ling, future users and exter­nal con­sul­tants can be invol­ved. Each role looks at a ven­dor from a dif­fe­rent per­spec­ti­ve and asks dif­fe­rent questions. 

Specialist Department

Looks for the best tech­ni­cal solu­ti­on for the spe­ci­fic problem.

Purchasing

Asses­ses com­pa­ra­bi­li­ty, pri­ces and risks.

IT

Pay atten­ti­on to secu­ri­ty and inte­gra­ti­on capability.

Management

Asks about bene­fits and cost-effectiveness.

Later users

Search for the expe­ri­en­ces of other users.

The­se per­spec­ti­ves give rise to num­e­rous digi­tal cont­act points and eva­lua­ti­on situa­tions that tra­di­tio­nal sales often do not even know about and can only influence to a limi­t­ed extent.

This digi­ta­liza­ti­on is not new: sup­pli­er por­tals, elec­tro­nic ten­ders, ERP sys­tems and e‑procurement plat­forms have long sin­ce stan­dar­di­zed pro­cu­re­ment and made it more data-based. Arti­fi­ci­al intel­li­gence now forms the next stage – and inter­ven­es at the core of the decis­i­on: in the rese­arch, eva­lua­ti­on, sel­ec­tion and recom­men­da­ti­on of providers. 

Many participants, many perspectives

B2B purcha­sing decis­i­ons are rare­ly made by a sin­gle per­son. Depen­ding on the scope, manage­ment, spe­cia­list depart­ments, purcha­sing, IT, data pro­tec­tion, con­trol­ling, future users and exter­nal con­sul­tants can be invol­ved. Each role looks at a ven­dor from a dif­fe­rent per­spec­ti­ve and asks dif­fe­rent questions. 

Specialist Department

Looks for the best tech­ni­cal solu­ti­on for the spe­ci­fic problem.

Purchasing

Asses­ses com­pa­ra­bi­li­ty, pri­ces and risks.

IT

Pay atten­ti­on to secu­ri­ty and inte­gra­ti­on capability.

Management

Asks about bene­fits and cost-effectiveness.

Later users

Search for the expe­ri­en­ces of other users.

The­se per­spec­ti­ves give rise to num­e­rous digi­tal cont­act points and eva­lua­ti­on situa­tions that tra­di­tio­nal sales often do not even know about and can only influence to a limi­t­ed extent.

This digi­ta­liza­ti­on is not new: sup­pli­er por­tals, elec­tro­nic ten­ders, ERP sys­tems and e‑procurement plat­forms have long sin­ce stan­dar­di­zed pro­cu­re­ment and made it more data-based. Arti­fi­ci­al intel­li­gence now forms the next stage – and inter­ven­es at the core of the decis­i­on: in the rese­arch, eva­lua­ti­on, sel­ec­tion and recom­men­da­ti­on of providers. 

AI becomes a shopping assistant

This deve­lo­p­ment is not a visi­on for a distant deca­de, but is alre­a­dy taking place today. AI sys­tems rese­arch pro­vi­ders for a spe­ci­fic task, struc­tu­re requi­re­ments, compa­re solu­ti­ons, crea­te pro­vi­der lists, eva­lua­te refe­ren­ces and compa­re advan­ta­ges and dis­ad­van­ta­ges. You can also prepa­re ques­ti­ons for ven­dor appoint­ments and draft decis­i­on templates.

With so-cal­led AI agents, this pro­cess is auto­ma­ted even more. In the future, such sys­tems will search for sui­ta­ble pro­vi­ders more and more inde­pendent­ly, check them on the basis of defi­ned cri­te­ria and ulti­m­ate­ly recom­mend only a small, pre-fil­te­red sel­ec­tion. The human then no lon­ger deci­des from the enti­re mar­ket, but from what the AI pres­ents to him.

This rai­ses a ques­ti­on that tou­ch­es on the core of many sales strategies:
How are you going to con­vin­ce a buy­er if you are not even sug­gested by their AI assistant ?

Why trust and references are decisive

The more com­plex a pro­duct or ser­vice is, the more dif­fi­cult it is to assess befo­re buy­ing it – and the more important cre­di­ble evi­dence beco­mes. Gene­ral adver­ti­sing state­ments tend to gene­ra­te skep­ti­cism in B2B. Decis­i­on-makers want to know spe­ci­fi­cal­ly what pro­blems a pro­vi­der has alre­a­dy sol­ved and what expe­ri­en­ces other cus­to­mers have had. Case stu­dies, refe­rence reports, eva­lua­tions and com­pre­hen­si­ble results redu­ce uncer­tain­ty and crea­te trust.

One point that is often over­loo­ked is cru­cial: it is no lon­ger just about the effect on peo­p­le. Visi­ble, cle­ar­ly struc­tu­red cus­to­mer expe­ri­en­ces also help search engi­nes and AI sys­tems to cor­rect­ly clas­si­fy a pro­vi­der and include it in recom­men­da­ti­ons. Good work alo­ne is the­r­e­fo­re no lon­ger enough – the posi­ti­ve expe­ri­en­ces of your cus­to­mers must also be visi­ble and findable, other­wi­se they sim­ply do not exist at the decisi­ve moment.

Why declining inquiries are misinterpreted

If the num­ber of inqui­ries decrea­ses, the most com­mon reac­tion is to ramp up visi­ble sales: more cold cal­ling, addi­tio­nal cam­paigns, hig­her adver­ti­sing bud­gets, new tools, stric­ter tar­gets. All of this can be useful in indi­vi­du­al cases. Howe­ver, the­se mea­su­res do not sol­ve the real pro­blem if a com­pa­ny falls out of the sel­ec­tion befo­re the first cont­act. You can’t win an offer you’­ve never been invi­ted to.

The con­nec­tion can be cle­ar­ly for­mu­la­ted: If you only opti­mi­ze visi­ble sales, you may only be working at the tip of the ice­berg – and over­loo­king the much lar­ger part below.

The blind spot: danger and opportunity at the same time

The blind spot is that many com­pa­nies sim­ply don’t see the cru­cial part of the pro­cess. They don’t know which sear­ches they don’t even show up on, which topics they are mis­clas­si­fied on, or what infor­ma­ti­on poten­ti­al cus­to­mers are miss­ing. Nor do they know why com­pe­ti­tors are recom­men­ded more often, what doubts pro­s­pects deve­lop, how many short­lists they are alre­a­dy miss­ing from, and how search engi­nes and AI sys­tems descri­be their company.

If this blind spot per­sists, the con­se­quen­ces will be noti­ceable: fewer enqui­ries, rising acqui­si­ti­on cos­ts, gro­wing pri­ce pres­su­re and a cree­ping loss of mar­ket share. The tri­cky thing about this is that this deve­lo­p­ment goes unno­ti­ced for a long time – until it can no lon­ger be over­loo­ked in the figures.

Howe­ver, this is pre­cis­e­ly whe­re the oppor­tu­ni­ty lies. Com­pa­nies that unco­ver their blind spot can shar­pen their posi­tio­ning, build rele­vant con­tent, sys­te­ma­ti­cal­ly use cus­to­mer voices and make trust visi­ble – for humans, search engi­nes and AI. They beco­me findable and com­pel­ling whe­re decis­i­ons are being pre­pared, and gain an edge over com­pe­ti­tors who con­ti­nue to unde­re­sti­ma­te change.

The wave is already here

It would be con­ve­ni­ent to dis­miss this deve­lo­p­ment as a future sce­na­rio. But the wave is no lon­ger coming – it is alre­a­dy here, in the midd­le of ongo­ing pro­cu­re­ment pro­ces­ses in which pro­vi­ders are alre­a­dy being found or not being found. What makes it so powerful is the speed of AI deve­lo­p­ment: tech­ni­cal pos­si­bi­li­ties and user beha­vi­or chan­ge in par­al­lel and rein­force each other. Humans get used to using AI for rese­arch, com­pa­ri­sons and decis­i­ons sur­pri­sin­gly quickly.

For com­pa­nies, this means a clear cross­roads: they can igno­re the deve­lo­p­ment until it over­w­helms them – or learn to use the wave and thus posi­ti­on them­sel­ves for the future. The urgen­cy is real, not as sca­re­mon­ge­ring, but as a sober state­ment: the peri­od in which a head start is still easy to work out is get­ting smal­ler with every month.

Self-check: Do you know your blind spot?

Befo­re you read on, take a moment and honest­ly check how well you know the invi­si­ble part of your own shop­ping pro­cess. Do you know how poten­ti­al cus­to­mers are loo­king for solu­ti­ons like yours today – and whe­ther your com­pa­ny even appears in this rese­arch? Is it clear which pro­blems you are sol­ving for which tar­get groups, and do you have visi­ble, cre­di­ble cus­to­mer voices and con­cre­te refe­ren­ces? Can search engi­nes and AI sys­tems cor­rect­ly clas­si­fy your offer, and do you know how to descri­be and recom­mend your busi­ness? Final­ly, do you know the reasons why pro­s­pects don’t ask you – and do you have a sys­te­ma­tic pro­cess for under­stan­ding and lever­aging cus­to­mer experiences?

✓ Self-check
Do you know how poten­ti­al cus­to­mers are loo­king for solu­ti­ons like yours today?
Do you know if your com­pa­ny even appears in this research?
Is it clear which pro­blems you are sol­ving for which tar­get groups ?
Do you have visi­ble and cre­di­ble cus­to­mer voices?
Can inte­res­ted par­ties find con­cre­te refe­ren­ces and results?
Can search engi­nes and AI sys­tems clas­si­fy your offer correctly ?
Do you know how your com­pa­ny is descri­bed and recom­men­ded by AI systems?
Do you know the reasons why inte­res­ted par­ties don’t ask you?
Do you have a sys­te­ma­tic pro­cess for under­stan­ding and lever­aging cus­to­mer experiences?

The more often you hesi­ta­te to ask the­se ques­ti­ons, the grea­ter the likeli­hood that your blind spot is alre­a­dy having an effect – and at the same time, the grea­ter the poten­ti­al you can leverage.

The decisive question for your future

The decisi­ve ques­ti­on is the­r­e­fo­re no lon­ger just: How well does your sales depart­ment sell? It is: Will your com­pa­ny still be found, cor­rect­ly clas­si­fied and recom­men­ded as a trust­wor­t­hy pro­vi­der in the new B2B purcha­sing pro­cess? And more important­ly, do you know your own blind spot – or are you alre­a­dy losing poten­ti­al cus­to­mers wit­hout even rea­li­zing it?

This is exact­ly what we should be tal­king about. We have now deve­lo­ped extre­me­ly powerful solu­ti­ons with which com­pa­nies can unco­ver their blind spot and streng­then their digi­tal visi­bi­li­ty, their cus­to­mer voices and their rele­van­ce for peo­p­le, search engi­nes and AI sys­tems in a tar­ge­ted man­ner – from stra­te­gic ana­ly­sis to con­cre­te implementation.

The blind spot can beco­me an exis­ten­ti­al thre­at – but it can also be exact­ly the oppor­tu­ni­ty that will lead your com­pa­ny safe­ly and suc­cessful­ly into the future. What are you wai­ting for? The chan­ge is alre­a­dy here – and due to the rapid deve­lo­p­ment of AI, the­re is less and less time to prepa­re for and pro­tect it.

💡 Key takeaways
The chan­ge in shop­ping beha­vi­or is not just a B2C issue – even in B2B , decis­i­on-makers are rese­ar­ching digi­tal­ly and incre­asing­ly with AI sup­port befo­re per­so­nal cont­act is estab­lished.
The request is only the tip of the ice­berg: the cru­cial part of the Sel­ec­tion is invi­si­ble – you can lose an order wit­hout ever kno­wing about it.
AI is mas­si­ve­ly acce­le­ra­ting chan­ge and beco­ming a shop­ping assistant. Anyo­ne who is not sug­gested by the AI assistant is out of the ques­ti­on for the buy­er.
Visi­ble refe­ren­ces, cus­to­mer tes­ti­mo­ni­als and trust are decisi­ve – for peo­p­le as well as for search engi­nes and AI sys­tems.
The blind spot is both a dan­ger and an oppor­tu­ni­ty. Tho­se who reco­gni­ze it and act actively gain a decisi­ve advan­ta­ge.
Get advice and do a pro­fes­sio­nal check – time is of the essence!
What are you wai­ting for? The chan­ge is alre­a­dy here – and due to the rapid deve­lo­p­ment of AI, the­re is less and less time to prepa­re for and pro­tect it.