The Content Gap: Why Your B2B Marketing Strategy Isn't Working Like It Used to

LinkedIn's feed algorithm was rebuilt from scratch. Google's AI Overviews are answering buyer questions before they ever click a result. ChatGPT and Perplexity have become research tools for procurement teams. And most B2B companies are still running the same playbook they were using in 2023.

This article covers what's actually changed across LinkedIn, search, and AI discovery, and what marketing leaders can do about it.

LinkedIn: The Algorithm Rewrite That Killed the Old Playbook

In late 2025, LinkedIn replaced its collection of task-specific ranking models with a single large-scale AI called 360Brew. A 150-billion-parameter model now decides who sees your content, based on a holistic read of your profile, posting history, network behaviour, and the semantic meaning of your posts, not just keywords and engagement counts.

The practical impact is significant.

1. Company pages play a different role. Personal profiles now account for around 65% of content consumption on LinkedIn, while organic reach from company pages has declined significantly under 360Brew. But that doesn't mean abandoning your company page. It means being clear about what it's for: brand credibility, retargeting audiences, and paid campaign infrastructure. The organic content strategy, the posts that actually reach new people, increasingly needs to run through individuals. Building both in parallel, rather than choosing one over the other, is where the strongest B2B LinkedIn strategies are landing.
2. Engagement bait is being penalised. Posts asking people to "Comment YES if you agree" or using copy-paste viral templates are now actively down-ranked. The algorithm detects templated phrasing and AI-patterned structures, and reduces visibility accordingly.
3. Saves outrank likes. Post saves are now the strongest quality signal on the platform, ahead of likes, reactions, and shares. Content designed to be referenced later (frameworks, checklists, practical breakdowns) performs better than content designed to be liked in the moment.
4. Thoughtful comments carry serious weight. Substantive comments carry significantly more algorithmic weight than likes, with one independent study estimating up to 8x as much. Three genuine professional exchanges in the comments will outperform 30 likes.
5. Profile-content alignment matters. 360Brew checks whether what you're posting matches the expertise your profile claims. Your headline and About section act as "context tags" that tell the algorithm what your company or team member should be known for. Misalignment limits reach, even for well-written posts.

What This Means in Practice

The winning LinkedIn strategy for B2B companies in 2026 should be built around two or three experts posting consistently on a focused set of topics under their own profiles. Not daily updates from the company page. Not polished brand content. Real people with real points of view on the problems your buyers are trying to solve.

A CMO's job here is to identify those voices internally, build the editorial structure around them, and ensure the content is working hard enough to earn saves and real conversations, not just impressions and likes.

Search: Ranking #1 Is No Longer the Goal

Google's AI Overviews now appear at the top of most commercial search results, synthesising answers from multiple sources before a user clicks a link. For 34% of B2B marketers, AI search platforms are now where qualified prospects first hear about their company.

Traditional SEO is still relevant, but it's no longer the only goal. The new objective is to be cited inside the AI-generated answer, not just to rank somewhere beneath it.

Generative Engine Optimisation (GEO) requires a different approach to content.

1. Structure your content to be cited. AI systems favour content that leads with a clear answer, uses logical headings and paragraphs, and makes its expertise obvious. Dense walls of text, keyword-stuffed pages, and thin blog posts don't make it into AI answers. Precise, well-structured content written by people with genuine subject matter knowledge does.
2. Topical authority beats volume. A website with 10 deeply useful pages on a specific topic will outrank and out-cite a site with 100 generic ones. This is a meaningful shift for B2B companies that have been publishing content for SEO volume rather than relevance and depth.
3. Clean schema markup matters. Pages with clean structure and schema earn meaningfully higher AI citation rates across platforms. This is technical work, but the strategic decision to prioritise it starts with whoever owns your marketing direction.
4. The buyer journey is changing. B2B buyers now use AI tools for early-stage research, comparison, and vendor shortlisting, often before making direct contact with any company. Your content needs to meet them at each stage: education early, comparison in the middle, and decision support at the end.

AEO: The Channel Many B2B Companies Are Ignoring

Answer Engine Optimisation (AEO) is the practice of making sure your brand gets cited when buyers ask AI assistants (e.g. ChatGPT, Perplexity, Claude, Microsoft Copilot) for recommendations, comparisons, or solutions.

AI-referred sessions to websites grew 5x by mid-2025, according to one study.

This is a significant opportunity.

A VP of Operations asking ChatGPT "what's the best B2B logistics software for a company our size" is a high-intent buyer. If your brand appears in that answer, you're in the consideration set. If it doesn't, you don't exist for that buyer, regardless of how well you rank on Google.

AEO is built on five foundations: the quality of your existing content (AI systems cite sources they trust), structured data and schema markup, entity recognition (does the AI know who you are and what category you belong to), share of voice relative to competitors, and topical authority across your key themes.

Getting into AI answers consistently requires the same things as good SEO, just applied more deliberately: genuine expertise, well-structured content, credible third-party references, and a clear, consistent brand identity that AI systems can categorise accurately.

The Opportunity: These Three Channels Are Connected

LinkedIn, search, and AI visibility don't operate in isolation. They reinforce each other.

A consistent expert voice on LinkedIn builds topical authority that feeds into search rankings. Well-structured content on your website gets cited by AI systems. Being cited by AI systems builds brand recognition that makes your LinkedIn content more credible to new audiences.

Companies seeing the strongest B2B marketing results in 2026 are treating these as one integrated marketing and content strategy, not three separate channels managed by different people with different priorities.

Good marketing leaders now need to be able to set the strategic direction across all three channels, ensure they're working together, and build the internal capability to sustain it.

How to Bridge the Content Gap

If your B2B marketing feels like it's working less hard than it used to, it probably is. Here's what you can do to bridge the content gap:

• Audit your LinkedIn strategy. Are you relying on a company page for organic reach? Do you have internal experts and team members posting about topics you want to be known for? Are you producing content deep enough to earn saves?
• Assess your website content. Is it structured to be cited by AI systems, or is it optimised for the old search landscape? Are you covering the full buyer journey?
• Check your AI visibility. Ask ChatGPT, Perplexity and other LLMs the questions your buyers are asking. Does your brand appear? If not, that's a gap worth closing before your competitors do.
• Connect the dots. Make sure the themes you're building authority around on LinkedIn are the same themes your website content covers and your AI citations reinforce.

These aren't just tactical fixes. They're strategic decisions, and they're the kind of decisions that benefit from someone with the experience to see the bigger picture.