The Algorithm Just Told You What It Wants. Are You Listening?
Walking Digital Corridors -- Edition 62
Welcome back to Walking Digital Corridors - the weekly briefing for GTM teams navigating modern buyer behaviour, social selling, and the digital signals shaping pipeline and revenue.
This week’s lead signal is one that should make every seller, marketer and CS professional sit up.
LinkedIn just rewired how it decides who gets seen. And the change rewards the exact behaviour this newsletter has been banging on about since Edition 1: show up with substance, in your lane, consistently.
Meanwhile, the data on how buyers actually choose vendors is in and it’s uncomfortable. Let’s get into it.
New here? Quick primer on COS:
COS = Conversation Operating System
A proven framework for Sales, Marketing and Customer Success to coordinate their efforts around signal, strategy and human connection, building trust, visibility and conversations at scale.
Not theory. Not fluff. Just rhythm that turns influence into revenue. Learn more about it here: Supero
THE DIGITAL SIGNAL
1. LinkedIn’s March 2026 Algorithm Update: Generative Recommenders Are Here
LinkedIn senior engineer Tim Jurka confirmed the platform is rolling out Generative Recommenders, an LLM-powered ranking system that matches your content to users based on profile signals, engagement history and topic relevance - shared and demonstrated by Tim Jurka post, and Hristo Danchev article @ LinkedIn). Have a quick look at Tim and Hristo’s LinkedIN profiles, nice to see authenticity over corporate identity. The shift mirrors what Instagram and TikTok did years ago: distribution is now based on relevance, not reach.
What’s getting penalised: engagement bait (”Comment YES if you agree”), generic AI-generated thought leadership, and automated engagement pods. LinkedIn explicitly stated these practices are no longer allowed on the platform.
What’s getting rewarded: niche expertise, authentic professional perspectives, and crucially, the quality of your comments and conversations, not just your posts.
Why it matters: A large following no longer guarantees large reach. The algorithm is now actively looking for people who have a clear point of view and prove it consistently. As Forbes reported, earlier this year, the 2026 algorithm evaluates your headline, summary and experience to confirm your credibility before distributing your content. Your profile is no longer a digital CV, it’s your ticket to being seen.
2. 94% of B2B Buyers Now Use LLMs During Their Buying Process -- But Still Choose Vendors Before Talking to Sales
Fresh data from 6Sense, Forrester and Corporate Visions paints a stark picture: 94% of B2B buyers use large language models during their purchase journey, and 92% start with at least one vendor already in mind (Corporate Visions, January 2026). By day one of formal evaluation, buyers have already placed roughly four out of five vendors on their shortlist and 95% of the time, the winner is already on that list.
Here’s something worth taking note of, and it matters: 94% of buying groups rank their shortlist in order of preference before they ever speak to a seller. The vendor ranked first wins approximately 80% of the time (6Sense, 2025).
Forrester’s State of Business Buying 2026 report adds a critical nuance: while AI search tools offer speed, they often deliver incomplete or unreliable information, creating mistrust. Buyers compensate by seeking validation from trusted sources, colleagues, external influencers, peer networks (Forrester, January 2026). Human interactions remain essential, even as AI reshapes the buying process.
Why it matters: The deals you’re chasing were likely decided before you knew they existed. If you’re not shaping how buyers think about the problem before they start evaluating solutions, you’re not late to the party, you weren’t invited.
3. The AI SDR Trust Gap: 72% Adoption, Only 46% Trust
AI SDRs have hit 72% adoption across sales teams, with the market reaching $3.1 billion. But only 46% of teams actually trust the AI they’re using (AiSDR, 2026 State of AI SDR Report). Two-thirds of teams don’t verify AI outputs before sending them. 88% of AI SDR pilots stall before reaching production.
Meanwhile, a provocative piece from SaaStr argues the trust objection is collapsing, citing G2 data showing 17.2% of buyers say they trust AI interactions versus just 9.3% who trust salespeople (SaaStr, March 2026). Their argument: most “trusted” human reps are actually strangers on Zoom calls who know the product 20% as well as the product team.
Why it matters: The tension here is real. AI is accelerating outreach but degrading trust in the process. And buyer trust in human sellers isn’t exactly stellar either. The winners will be the people who use AI to do the research, then show up as humans who’ve clearly done the thinking. The machine does the legwork. The human earns the meeting.
WHAT THIS MEANS FOR PRACTITIONERS
If you’re a seller, BDR, AE or CSM reading this, here’s what these three signals add up to:
The platform is rewarding what you should already be doing. LinkedIn’s algorithm now actively surfaces content from people with clear expertise and consistent presence in their niche. That’s not a burden, it’s an open door. If you’ve been posting sporadically or commenting with “Great post!” and a thumbs up, the platform is now actively filtering you out. But if you’ve been showing up with a point of view? You’re about to get a visibility lift you didn’t have six months ago.
Your buyers have already decided before you call. 92% start with a vendor in mind. 95% of winners are on the day-one shortlist. So the question isn’t “How do I sell better?” it’s “How do I get on the list before the list is made?” The answer is the same as it’s always been: be visible, be relevant, be valuable in the spaces where your buyers are forming opinions. That’s the feed. That’s the comment section. That’s walking digital corridors.
AI won’t replace you but it will expose you. If you’re relying on AI to write your outreach while your profile says nothing, your content teaches nothing, and your comments add nothing, buyers will smell it. The data tells us they’re already forming shortlists based on who’s showing up with substance. If that’s not you, no amount of AI-generated emails will fix it.
WHAT THIS MEANS FOR REVENUE OPERATIONS
LinkedIn’s shift to relevance-based distribution has direct pipeline implications. If your sellers’ profiles are generic, their content is sporadic, and their engagement is non-existent, the algorithm will bury them. This isn’t a marketing problem, it’s a revenue problem. RevOps leaders need to treat social presence as pipeline infrastructure, not a nice-to-have.
The shortlist data demands a rethink of attribution. If 95% of winning vendors are already on the buyer’s day-one list, your attribution models need to account for pre-pipeline influence. That means measuring content engagement, profile views, comment activity and connection growth as leading indicators, not just MQL volume and form fills. The pipeline didn’t start when the lead filled in a form. It started when a buyer saw your team’s content and thought, “These people understand my problem.”
AI SDR governance is a revenue risk. 88% of AI SDR pilots stall. Two-thirds of outputs go unverified. If your team is deploying AI outreach without quality controls, you’re not scaling, you’re gambling. High-trust teams (those with proper enablement, integration and verification) hit revenue targets at 83% versus 66% for the rest. The difference isn’t the tool. It’s the governance around it.
The conversion gap is where the money is. Forbes notes that 2026’s winning GTM strategy isn’t about volume, it’s about conversion. Organisations with higher booking rates are leveraging intent data effectively and prioritising website optimisation. With acquisition costs rising and organic visibility less predictable, precision beats spray-and-pray every time. But, what it is duly missing is the need for people to develop their personal brands to influence their audience and drive ‘conversation’ as the meaningful lead measure that influences conversion the most.
COS IN PRACTICE
This week’s COS action: The Profile-Content-Comment Audit
LinkedIn’s algorithm is now evaluating you as a whole professional, not just as a content creator. Your profile, your posts and your comments are being read as a single signal. If they tell the same story, you get amplified. If they contradict each other or if two of the three are silent you get filtered.
Here’s what to do:
Open your LinkedIn profile. Read your headline and About section as if you were a buyer researching whether to take a meeting with you. Does it tell them what you help with and why it matters? Or does it read like a job title and a list of employers?
Review your last five posts. Do they reinforce the same 2-3 themes? Or are they scattered across topics with no through-line? The algorithm is categorising you. Give it something clear to work with.
Check your last ten comments on other people’s posts. Did you add perspective, challenge an assumption, or share an experience? Or did you write “Great insight!” and move on? Comments are now weighted as heavily as posts in how the algorithm evaluates your participation.
The COS principle: Strategy, Systems, Skills, Personal Change. This audit sits at the intersection of all four. It aligns your personal brand strategy with the system (LinkedIn’s algorithm), tests your skill (can you articulate your value?), and demands personal change (showing up differently, starting now).
THIS WEEK’S PRACTICAL RESET
Five things you can do this week to turn these signals into action:
Rewrite your LinkedIn headline to pass the “stranger test.” If someone who’s never met you reads your headline, would they know what you help with and who you help? If it just says your job title and company, it’s not working for you. The algorithm uses it to decide who sees your content.
Leave three substantive comments on posts in your target accounts’ feeds. Not “Great post.” Not a repost with no commentary. A comment that adds a perspective, asks a smart question, or shares a relevant experience. This is how the algorithm learns where you belong and how buyers learn who you are.
Audit your last five posts for topic consistency. If you posted about sales on Monday, wellbeing on Wednesday and food on Friday, you’re telling the algorithm you’re noise. Pick your 2-3 themes and stay in them. Depth beats breadth in 2026.
Ask yourself: “Am I on my buyers’ day-one shortlist?” If 92% of buyers already have a vendor in mind before formal evaluation, what are you doing to be that vendor? The answer isn’t more emails. It’s more visibility, more relevance, more value delivered in the corridors where opinions are formed.
If your team is using AI SDR tools, run a trust audit. Are you verifying outputs before they go? Do your reps understand what data the AI is using? Can you trace why a message worked or didn’t? If not, you’re in the 54% that doesn’t trust its own tools and your buyers can probably tell.
FINAL WORD FROM THE BEARDED SALES GUY
Here’s the uncomfortable summary of this week.
The algorithm is now doing what we’ve been saying all along: rewarding the people who show up with something real to say, consistently, in a defined lane. The data confirms that buyers decide before they talk to you. And the AI SDR gold rush is hitting a wall because trust, the thing that actually closes deals, can’t be automated.
So where does that leave you?
It leaves you with a choice. You can keep doing what the algorithm now penalises, posting generically, commenting lazily, letting AI do your outreach while your profile collects dust. Or you can do the work. Define your lane. Show up in it. Say something worth remembering.
The machines are getting faster. The platforms are getting smarter. But the buyers? They’re still choosing the people they trust.
Be one of those people.
See you in the corridors,
The Bearded Sales Guy