Best of LinkedIn: Forrester B2B Summit North America 2026

00:00:00: This episode is provided by Thomas Allgeier and Frennis, based on the most relevant LinkedIn posts Forrester BtoB Summit North America.

00:00:08: Frenas is a B to B market research company helping enterprise marketing teams sharpen their strategies and outreach with customer segmentation, ideal customer profiles in deep dives.

00:00:18: Customer needs analysis and buying center insights.

00:00:22: So imagine spending half your marketing budget just to get a qualified buyer To your website only to realize a procurement bot actually made the purchasing decision for them like three weeks ago.

00:00:32: Yeah That is a brutal reality check but honestly it's exactly the landscape we are mapping out today.

00:00:37: right.

00:00:38: Welcome to the Go To Market Singularity.

00:00:40: We are doing a deep dive into major strategic shifts coming out of the Forrester BtoB Summit North America, twenty-twenty six.

00:00:46: And if you're a btb marketing professional trying to figure why your traditional playbooks are suddenly completely misfiring well this deep dive is your shortcut.

00:00:55: we were looking purely at actionable intelligence shared by practitioners and analysts across LinkedIn Exactly.

00:01:01: No fluff, just the mechanics behind the change because The overarching narrative wasn't about you know tweaking a subject line.

00:01:07: It was this massive collective acknowledgement that the traditional B to be go-to market machine is fundamentally broken.

00:01:16: Yeah We really can't just optimize it anymore.

00:01:18: we actually have to rebuild it.

00:01:20: and To understand why?

00:01:21: We should look at this concept from Forrester's VP Dave Franklin.

00:01:25: Oh Right!

00:01:26: The GTM singularity

00:01:27: exactly.

00:01:28: he used his brilliant astrophysics analogy talking about how marketing teams are feeling right now, like when a massive star reaches the end of its life.

00:01:36: Right!

00:01:36: The inward pressure just gets to be too much?

00:01:38: Yes...the core collapses under it's own weight and Franklin argued that our existing marketing and sales models were doing exactly that.

00:01:46: collapsing out of the unprecedented pressure of AI-empowered buyers.

00:01:50: Wow

00:01:51: So you either evolve in Ghosts Supernova or your entire strategy just implodes into black hole.

00:01:56: That's the choice.

00:01:57: And George Colony from Forrester opened a summit echoing that, saying teams are frantically trying to tune up an engine that has already seized

00:02:04: Which is wild.

00:02:05: and if you want know just how broken gauges on this engine look at the data Karen Loederstein highlighted from closed.

00:02:12: Oh post decision interviews.

00:02:14: Yeah

00:02:15: they compared what B-to-B buyers actually said about a deal against The sales reps typed into the CRM as a loss reason.

00:02:24: And the disparity there is just staggering, I mean, eighty-five percent of the lost reasons sitting in your CRM right now are completely

00:02:31: wrong.

00:02:31: Eighty five

00:02:33: percent?

00:02:33: Not just lacking nuance but fundamentally incorrect.

00:02:36: Wait!

00:02:36: Just think about that domino effect for a second.

00:02:39: If you're marketing leader listening to this Every single pipeline review your VP of Sales ran.

00:02:44: this quarter was likely built on total fiction.

00:02:47: Right, you're steering a massive ship with completely broken compass and the underlying mechanism causing that bad data is just human nature.

00:02:55: Because buyers don't want to tell a rep their UI is clunky

00:02:57: Exactly.

00:02:58: they say oh we lost budget So the Replogs Budget.

00:03:01: then marketing goes off create lower tier pricing packages.

00:03:04: literally nobody wants.

00:03:06: It's an endless cycle of bad data and Lloyderstein also shared that seventy-seven percent of the real reasons buyers choose a vendor never even show up in sales call.

00:03:16: Yeah,

00:03:16: trying to understand modern buyers using traditional CRM data is like trying to map the ocean floor.

00:03:21: by just looking at ripples on surface.

00:03:23: you miss massive currents underneath

00:03:25: Right.

00:03:26: but let me push back here.

00:03:27: Is the traditional funnel actually dead this time or are we renaming the MQL to sell new consulting frameworks?

00:03:35: Well The MQL isn't vanishing completely but its DNA is definitely changing.

00:03:40: Bill Habib and Sarabh Gujral noted, we're moving away from isolated actions like downloading a PDF.

00:03:46: So it's less about Is this lead qualified?

00:03:49: And more about...is the account prioritized?

00:03:51: Exactly!

00:03:51: Those engagement vanity metrics are basically dead weight now Forrester's Ross Graber championing this move toward return on objectives instead.

00:03:59: OK, but how do you actually sell that internal shift to a CFO?

00:04:03: You can't really take abstract buyer confidence to the bank.

00:04:06: Well, you sell it by showing how much money siloed operations are actively wasting.

00:04:10: Christoph Farve unpacked Forrester's new ARC GTM framework which is augmented resilient and collaborative,

00:04:19: meaning marketing sales.

00:04:20: And customer success can't just run a relay race anymore

00:04:24: right?

00:04:24: The journey is a web.

00:04:25: if marketing is optimizing for form fills while sales are just blasting cold outbound you're spending double the resources to annoy the same buyer

00:04:33: Tina being really hammered this home didn't she?

00:04:35: surviving requires observable cross channel behavior not just siloed intent.

00:04:40: guessing

00:04:41: yeah.

00:04:41: and If your staring at your dashboard Right now wondering why Your accounts aren't converting that brings us To the second major theme The visibility vacuum.

00:04:49: Because the internal machine is broken, but the external environment has also gone completely dark.

00:04:53: It's exactly

00:04:54: like John Buten had that visceral keynote moment where he literally shut off the lights on fifteen hundred attendees to demonstrate this

00:05:01: very theatrical...but highly effective.

00:05:04: for explaining the data He shared that ninety four percent of buyer behavior is now dark.

00:05:08: Ninety-four?

00:05:10: That's insane!

00:05:11: It happens in private Slack channels, closed communities, prompt interfaces.

00:05:15: Tracking pixels just can't follow them there.

00:05:17: Plus organic B-to-B search traffic is projected to plummet by fifty to seventy five percent In the next twelve to eighteen months Which

00:05:25: is terrifying.

00:05:26: stat Up to three quarters of your inbound traffic could just evaporate.

00:05:30: And the mechanics why that traffic is vanishing Is crucial for you understand.

00:05:34: Buyers aren't just googling best software anymore and clicking blue links

00:05:39: Right they're prompting.

00:05:40: Karen Lloyderstein pointed out.

00:05:42: buyers are typing these highly specific, fifteen to twenty three word decision-shaped prompts.

00:05:48: Yeah into engines like Perplexity Chat GPT and Gemini.

00:05:52: they feed the AI their constraints there budget And just ask it to synthesize a shortlist.

00:05:57: so they aren't looking for A list of vendors To research.

00:06:00: They're outsourcing The Research phase entirely to the machine

00:06:03: exactly.

00:06:04: but here is where It gets really interesting.

00:06:06: If a buyer is essentially a stealth bomber flying under our radar, how do we even know they're in the market?

00:06:13: Well you can't optimize for clicks if the AI provides the answer and generates zero outbound clicks.

00:06:19: That's the exact problem.

00:06:20: generative engine optimization or GEO was trying to solve.

00:06:23: GEO

00:06:24: an Answer.

00:06:24: Engine Optimization right AEO.

00:06:26: Yeah Victoria Frederica A shared very stark insight regarding this.

00:06:31: AI surfaces what it trusts.

00:06:33: So to be machine readable, you aren't just stuffing keywords into an H-one tag anymore.

00:06:37: No!

00:06:38: You have structure your data with clear entity relationships so the large language model actually understands your product's context.

00:06:45: I'm guessing that means feeding the AI consistent, verifiable technical documentation across multiple third-party sites.

00:06:53: Precisely!

00:06:54: If the LLM can't triangulate your claims against G-II reviews and Reddit threads it basically hallucinates you out of existence.

00:07:00: Wow so if you aren't discoverable by an AI agent pulling data across the web You just aren't in the consideration set to begin with.

00:07:07: Right And the timeline here is short.

00:07:09: So, Hale Sidemare brought up Gartner's prediction that by twenty-twenty eight ninety percent of B to be buying will be AI agent intermediated.

00:07:16: So we're talking about a gentic commerce procurement bots negotiating with sales bots.

00:07:21: yes and bots don't feel human urgency.

00:07:24: they don't care about your end-of-corder discount They don't get FOMO And they definitely won't sit through as six week automated email nurture!

00:07:31: They just parse the data evaluate the fit and spit out a recommendation in seconds

00:07:36: Exactly.

00:07:37: And if algorithms are making short lists instantly, waiting for a buyer to hit your website means you've already lost.

00:07:42: You have to win the race before The Bot even starts its search which explains Foresters Ian Bruce and Kelvin Guy using that Formula One analogy with

00:07:50: the pole position one yeah?

00:07:52: That dominated my LinkedIn feed!

00:07:54: Right B-to-B marketing isn't about winning at the finish line.

00:07:57: it's about starting the race in first place because

00:07:59: the buying journey has fundamentally inverted.

00:08:03: It is no longer a journey of selection.

00:08:05: It's a process of confirmation.

00:08:07: And practitioners like Lynn Ho and Keith Kosiski shared stats proving this.

00:08:11: Sixty-eight percent of B-to-B buyers already have a preferred vendor in mind before the formal process even begins.

00:08:18: Sixtey eight percent, Before they ever fill out form or talk to a

00:08:21: rep.

00:08:22: Of those early favorites, eighty percent make final chart list...and fifty five percent win.

00:08:26: The

00:08:27: implications there are massive.

00:08:29: Your demand capture strategy is completely useless if your brand hasn't planted the seed of preference months in advance.

00:08:36: Which

00:08:36: means, that historical divide between Brand and Demand has to end

00:08:39: right?

00:08:40: It absolutely does!

00:08:41: Brand creates a runway for preference And Demand captures the moment of action.

00:08:45: They have to operate as single system Especially since average buying group now has around thirteen internal people and nine external influencers.

00:08:54: A thirteen person buying group doesn't all sit on a demo call.

00:08:57: One person uses an AI tool to summarize your capabilities and use that summary to convince the rest.

00:09:04: So what does this mean for content?

00:09:06: If fluffy vendor-centric claims are dead, how do we actually prove a CFO?

00:09:11: our content builds preference?

00:09:13: Well Lisa Gately had session on exactly calling it The Proof Problem.

00:09:17: BtoB brands don't have a content production problem anymore.

00:09:21: AI makes writing white paper incredibly easy.

00:09:23: Right they've got proof problems

00:09:24: Because buyers are fiercely skeptical of marketing copy, they assume an AI wrote it.

00:09:30: So verifiable evidence can't just be a polished case study on your own website?

00:09:34: Exactly!

00:09:35: The AI answer engine will actively fact-check your claims against third party sources.

00:09:40: whether you invited to or not.

00:09:41: Your content has to shift toward raw expert insights hard data sets and peer validation.

00:09:47: You have to prove authority through independent channels

00:09:51: Because if your website promises seamless integration, but developer forms are full of complaints about your API.

00:09:57: The AI highlights that discrepancy directly to the buyer.

00:10:01: you're essentially just supplying evidence for the AI to adjudicate.

00:10:04: Okay let's look at the operational reality Of this.

00:10:06: we know We have to unite brand and demand And lead with proof.

00:10:10: But how Are the best teams actually executing This?

00:10:13: yeah without turning into solace automated spam cannons?

00:10:16: The practitioner case studies At the summit provided some great blueprints here

00:10:19: like cloud flare Brooke Leslie and Rachel Truyer shared how they used demand base as an invisible AI brain.

00:10:26: That was a brilliant example, the mechanism there is fascinating.

00:10:29: Right, they aren't just dumping raw intent data on sales reps like sending an alert that says company X visited our pricing page.

00:10:37: The AI synthesizes complex signals like ten-k reports and web traffic

00:10:41: And then it generates a five minute actionable plan.

00:10:45: It tells the rep exactly why the account matters today... ...and specific angle to take.

00:10:49: That system led three point six times larger deals.

00:10:53: The sheer scale of AI output is also transforming campaign execution.

00:10:58: Emmer Omara detailed how optimistically generated, eight hundred and seventy-two hyper personalized landing pages in a single week.

00:11:04: Eight

00:11:05: Hundred and Seventy Two And Emma Robinson shared how DocuSign leveraged Canva to unlock five hundred design hours.

00:11:11: Yeah allowing them execute on massive global rebrand just four months

00:11:16: With a four hundred and fourteen percent ROI, those numbers are incredible.

00:11:20: But I have to push back a little.

00:11:21: AI is in the magic wand definitely

00:11:23: not

00:11:23: if you're underlying data architecture as messy.

00:11:25: Ai just plays that bad chord.

00:11:27: much louder and faster.

00:11:28: genericking eight hundred landing pages with terrible messaging it's automated sabotage.

00:11:33: That Is A Critical Warning And Nicole Pinato from Uber for Business echoed exactly.

00:11:39: Running agentic AI workflows requires pristine, connected data.

00:11:43: You

00:11:44: need strict governance!

00:11:45: AI doesn't fix a broken structure.

00:11:47: it violently exposes your gaps.

00:11:49: If you're data is siloed Your AI outputs will be fragmented and useless.

00:11:54: Which brings us to what might the defining quote of this summit?

00:11:57: Oh Dave Boyce from Mercado Partners Automate the predictable so that you can humanize the exceptional.

00:12:02: It's

00:12:02: the perfect operational mantra.

00:12:04: Mechanically, you offload the predictable tasks like initial queries and basic pricing to the machine.

00:12:09: So

00:12:10: you free up your human talent to navigate complex corporate politics assess nuanced risk And build genuine trust.

00:12:16: because even if a procurement bot builds The shortlist humans are still the ones putting their careers on the line to sign the contract.

00:12:22: Jesse Johnson delivered A powerful keynote On this focusing on Human plus AI GTM.

00:12:27: She argued Ai requires human authenticity.

00:12:30: I loved her analogy.

00:12:32: Relying on AI without authenticity is like wearing a vintage band t-shirt when you don't actually know any of their music.

00:12:37: The buyer spots the fraud immediately.

00:12:40: exactly.

00:12:41: Empathy and judgment remain the ultimate differentiators.

00:12:44: And it was fascinating to see how that played out physically at this summit.

00:12:47: Oh,

00:12:48: definitely!

00:12:48: Amidst all of the tech talk... The most engaged LinkedIn posts were actually about human connection

00:12:54: People raving about petting robot dogs in a hyperbound booth or discussing custom AI-generated perfumes at Optimizely Station

00:13:02: Or just having unscripted strategy conversations at private dinners.

00:13:06: The technology accelerates the workflow, but the trust to close a deal is still forged human-to-human.

00:13:11: Let's pull all these threads together!

00:13:13: The old models are collapsing...the traditional funnel is breaking down because buyers are researching in dark AI mediated visibility vacuum.

00:13:22: To survive you can't just wait for a click.

00:13:24: You have build preference early and prove your claims with machine readable evidence.

00:13:29: And fundamentally the goal of AI isn't replace your team.

00:13:32: It's to automate the busy work so your people can deliver exceptional human value.

00:13:45: If you enjoyed this episode, new episodes drop every two weeks!

00:13:48: Also, check out our other editions on account-based marketing field marketing channel and partner marketing.

00:13:54: AI in B to be more tech.

00:13:56: go to market.

00:13:57: And social selling.

00:13:58: Thank you so much for joining us on this deep dive.

00:14:00: Don't forget to hit subscribe.

00:14:02: But before we go consider this with Gartner predicting that fifteen trillion dollars an annual btb spend will soon Be mediated by a I agents what happens to your business model?

00:14:13: when?

00:14:13: Your clients procurement bot sits down to negotiate directly with your salesbot.

00:14:17: Wow

00:14:17: Yeah.

00:14:18: When human emotion is completely removed from the transaction, it's your go-to market strategy actually ready to sell.