It’s not looking good, folks.
Organic search traffic is declining.
Cost per click is rising while conversions are in free fall.
Your Google Search, LinkedIn Ads, and Meta CPAs are creeping up there. And don’t even ask about the CAC.
But those are just symptoms. The actual change lies in how buyers research and decide, and where that research is happening.
The Buyer’s Journey Was Always a Lie
Doug’s Zombie CMO hit piece from a few weeks back pointed us in this direction. Your entire go-to-market function was designed around a buyer journey that pretty much no longer exists (if it ever did). And if you’re a vertical SaaS company, you’ve had the luxury of not feeling the full pain of this yet, because your unit economics used to be good enough to hide it.
How We Got Here: The Collapse of the Blue Links
In the olden times, buyers would begin their journey with a web search. A list of blue links, and they’d start clicking, researching their purchasing decisions, and hopefully, they’d make it to your site (or you bought an ad at the top to encourage that).
Then in 2024, Google debuted AI Overviews in search results. Now, buyers didn’t have a list of links to sort through to get an answer. Google’s AI Overview just gave them the answer. That’s why organic click-through rates have dropped by 61%, and paid click-through rates by 68%. Some sites have seen a 97% percent decline in traffic.
But that’s only half the story.
As AI mows through everything in its path, buyers are turning away from search engines and toward ChatGPT, Claude, and Google Gemini for research. (Shut up, Grok, nobody asked you.) Keep in mind, these chat-based tools are optimized to keep people in the chat, which means two things are happening simultaneously:
Any GenAI system reflects your prospect’s existing biases back at you.
It surfaces what’s publicly known about a brand (reviews, coverage, community sentiment), which means your brand reputation, or lack of one, is part of the answer your prospect gets.
Your targeted buyer is in ChatGPT, essentially pre-validating vendor choices.
So, the assembly-line org you built to serve the old buyer journey, Product Marketing to MarComm to Content to Digital to SDRs, each team handing off to the next, is optimized for a world that no longer exists. It was always 1920s production-line thinking applied to an emotional, nonlinear buying process. AI just made that undeniable. The Black Belts can’t save us now.
Quick gut check: Go ask your GenAI of choice to rank the top five vendors in your category. It’ll rank based on a combination of the data it can access and the brand’s reputation. That’s the new search result. That’s what your buyers are seeing.
DeathRace 2026: We Are All Fighting Over the Same 5%
Only about 5% of your potential B2B buyers are in-market in any given quarter. The other 95% aren’t looking to buy at all. Not because your marketing isn’t reaching them, but because they already have what you’re selling, don’t need it, or won’t need a new one for a year. Maybe longer.
So everyone in your category is chasing the same 5% of your ICP. It’s the same diminishing returns for that same ever-shrinking pool of in-market buyers. That’s why your costs are going through the roof.
That’s not a campaign problem. That’s a structural problem. And patching it with more obnoxious ad creative won’t fix it. Marketing organizations have to evolve.
The Org That Survives: A Barbell
The structure that wins in this environment looks like a barbell. Both sides carry equal weight; neglect either, and the system snaps.
On one side are Revenue Growth Engineers (RGEs), the builders who own the end-to-end loop of demand creation and capture. On the other side is Brand, the team guarding the narrative infrastructure that ensures you’re even in the conversation.
Connecting them is the lifting bar, a lean RevOps function. In this model, RevOps people aren’t just “CRM admins,” they are Go-To-Market Engineers. They understand APIs, webhooks, and data hygiene.
For the RGEs: RevOps solves the “signal” problem. They orchestrate the data flow so the builders can act on intent without manual exports.
For Brand: RevOps provides the measurement infrastructure. They deploy the attribution and sentiment tools that finally answer the question, “Is our brand investment working?”
What a Revenue Growth Engineer Actually Does
An RGE doesn’t just “run campaigns.” They build a machine that decides who to reach, when to reach them, and what to say. They own the entire loop, from data sourcing to technical orchestration.
While most companies chase hollow clicks or whitepaper downloads, the RGE builds signal scrapers using tools like Clay, n8n, or Claude Code to monitor real-world pain:
The Tech Stack Signal: A prospect just dropped a competitor’s script.
The Headcount Signal: A key department just saw a 20% reduction in staff.
The Regulatory Signal: A new compliance law has just passed in their jurisdiction.
When a prospect’s situation shifts, the RGE’s machine catches it. This isn’t a manual lead import; it’s an API-driven trigger that moves an account from “Nurture” to “High-Priority.”
The RGE then runs layered outreach. They don’t just blast one channel. They orchestrate a sequence that starts with the highest-leverage/lowest-cost channels (automated personalized email and LinkedIn) and layers on additional channels like targeted Meta/LinkedIn ads only when the account hits a specific pain threshold.
If the conversion math doesn’t support the spend, the RGE kills the channel. No sentimentality. No “we’ve always done it this way.” Just cold, hard engineering.
This precision isn’t optional. Gartner found that 73% of B2B buyers actively avoid suppliers who send irrelevant outreach. A spray-and-pray approach doesn’t just waste budget. It actively damages your reputation with the people you most want to reach. The machine has to be smart, or it’s worse than nothing.
Brand Is Back, Baby!
Even with data-obsessed revenue engineers, you still need a compelling brand. Both are simultaneously fighting over the same finite resources.
According to Forrester, 92% of B2B buyers begin their journey with at least one vendor already in mind, and 41% start with a single preferred vendor as they start formal evaluation. 6sense’s research on nearly 4,000 buyers found that 95% of the time, the winning vendor is already on the buyer’s shortlist before they’ve spoken to anyone in sales. The decision is largely made in the "dark funnel" of AI chats and peer networks. If your PPC costs are rising while conversion rates fall, stop blaming the algorithm.
The brand wasn't doing its job upstream. It wasn’t supported by speaking at events, podcasts, thought leadership, and other earned media. So the traffic that arrived was cold, skeptical, unprimed.
Most vertical SaaS companies have never done actual brand marketing. Brand marketing is hard to justify to a CEO because the impact is nearly impossible to tie to a metric, and the payoff can take years. With the average CMO tenure shorter than ever, every marketing budget eventually collapses into directly attributable demand gen. Brand strategy becomes a casualty of the next performance review. The result, compounded across the industry, is that most vertical SaaS companies have no brand presence worth speaking of. That vacuum is now a liability, because brand reputation is what comes up when your prospect is researching on ChatGPT at 11 pm on a Sunday night, long before the prospect is a twinkle in an SDR’s eyes.
Brand managers in this new world have to be zealots about reviews on G2, Capterra, and every surface they can find. This isn’t a vanity exercise. Brands cited in AI Overviews earn 35% more organic clicks and 91% more paid clicks. Your review presence is now directly tied to both your organic visibility and your ad efficiency. At the same time. And there’s a fast feedback loop: if your product is mediocre and your culture is rough, no brand strategy fixes it. The reviews reflect reality. The LLMs surface the reviews.
You still can’t brand your way out of a bad product.
Quick gut check:
How are your PPC costs? If they are rising while conversion rates fall, don’t call it a growth problem. Ask whether your brand is doing the upstream work.
Sit someone down who doesn’t work at your company. Show them a de-branded version of your homepage. Ask them to match your messaging to your competitors’. If they can’t tell you apart, you don’t have a brand; you have a template.
Pull up GA4 and ask your digital marketing team a simple question: What’s generating more traffic right now, organic search terms or brand searches? Since 2024, organic traffic by generic content has been collapsing. What's holding up is branded search, people who already know who you are. If your prospect has never heard of you, there's nothing for the algorithm to surface.
Start With Listening
So by now you’re probably staring off into space, wondering, “How do I even start?” Don’t begin with another positioning document. Begin with customer language.
Talk to your customers. Not a survey. Not a feedback form. Ten real conversations, minimum. Twenty if you can manage it. For God’s sake, don’t ask “What problems are you trying to solve?” That’s you dragging them into your marketing vocabulary instead of using theirs. Instead, ask:
What were the top three things keeping you up at night before you found us?
How did you find us?
What made you care enough to reach out?
Throw those transcripts and notes into Claude and compare your customers’ actual language with your current messaging and positioning. That language becomes your PVP. That becomes your brand story.
Grab the Barbell to Keep Those Gains, Brah
Are you going to wake up, or wait until your competitors get there first? This is what waking up looks like:
A revenue growth engineering function that tracks pain, runs precision outreach, and owns pipeline end-to-end. A brand function that’s obsessive about reputation, reviews, and making sure you’re in the consideration set as buyers begin researching. And nestled in between, a RevOps layer connecting them with data and measurement.
The companies that don’t build this will keep buying diminishing attention at rising prices, watching conversion rates slip, and scheduling another meeting about MQL definitions while their buyers are already three-quarters of the way through a decision process that happened entirely without them.
The conversation your buyer is having is with an AI, with peers, with review sites. You’re not in the room for most of it. The only things that get you in the room are brand reputation that precedes you and outreach precision that finds them exactly when their pain score changes.
That’s the barbell. Let’s build it.