Should We Still Write for Humans or Already for AI?

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Discover how to transition from visibility to "citability" in 2026 through Human Premium content and the CITABLE workflow to dominate AI responses.

What you will find in this article

  • The end of the click era and the rise of AI synthesis.
  • Why human influence is the new anti-spam filter.
  • LinkedIn: the essential technical pillar for your visibility.
  • The "CITABLE" Workflow for efficient writing.
  • Measuring success via "Share of Model".

The end of the click era, the beginning of the synthesis era

In 2026, B2B decisions no longer start with a search bar but within an AI chat interface. Indeed, approximately 60% of Google searches now end without a single click. The days when we had to click on five different web pages to find an answer are over; today, AI responds directly to the user.

To exist, a brand must no longer seek to be "clicked," but to be "cited" by AI as the essential reference in its sector. Appearing in AI searches leads to much more qualified traffic, with conversion rates 4.4 to 9 times higher for this audience.

Example of a ChatGPT response citing Les Années Folles as a top B2B influence agency

Why human influence has become the AI anti-spam filter

Today, the web is filled with "slop" (low-quality content generated by AI). To appear in searches, your content must stand out. The content valued by algorithms in 2026 is "Human Premium" content, where the value lies less in the information itself than in the person who produced it. Authenticity and expertise behind information have become more important than the information itself.

A case study signed by a human expert is 28% more likely to be cited by an AI than an anonymous blog post. While AI can generate theoretical insights, it is incapable of generating real field experience or proprietary data. Only you can provide new information drawn from real experience, and this "lived-insight" is highly valued by algorithms. By integrating proprietary data, you send an "information gain" signal to Google, which prioritizes new and exclusive information over content that repeats existing data.

Discover how LLMs are already transforming B2B content strategies to dive deeper into this topic.

LinkedIn: The technical pillar of your AI visibility

LinkedIn is now the 2nd most cited domain by AI in B2B queries, just behind YouTube. Across 9.5 million citations analyzed by Meltwater, YouTube leads with a 1.52% citation share, while LinkedIn follows with 0.53%. LinkedIn is already the number one domain for the "AI & Data Science" and "Marketing & Advertising" categories. Unlike YouTube, LinkedIn links expertise to a verifiable professional identity, which gives a citation more weight when an AI recommends a provider.

Personal profiles are the best place to publish content, as 75% of LinkedIn citations come from individual profiles compared to only 25% from company pages. B2B influencers are the solution for companies; the voice of these experts is technically more powerful than a press release. They are more trusted by target audiences and better indexed in AI-generated responses.

Julien, CEO of the agency Les Années Folles, notes that B2B influence campaigns now strengthen brand presence in conversational search engines like ChatGPT and Gemini. Influence content has become a true conversational SEO asset, influencing how a brand is recommended and positioned by AI. Investing in B2B influence is now a technical imperative to feed response engines and ensure visibility.

Learn why LinkedIn has become a key source for AI answers.

The "CITABLE" Workflow: How to write for both audiences (AI and Human)

Diagram of the CITABLE Workflow for writing content for AI and human audiences

Measuring success: Forget page views, aim for "Share of Model"

The Share of Model is the new strategic KPI, measuring how often your brand is recommended by a language model (ChatGPT, Gemini, Perplexity, etc.) compared to competitors in your category.

Example: If you test 200 strategic prompts on ChatGPT and your brand appears in 60 of those responses, your share of model is 30%. Calculation: (Brand mentions or citations / Total mentions for all tracked brands) x 100.

With 93% of AI interactions ending without a click to a website, this is the only way to know if your brand exists in the mind of an AI-informed buyer. This score must be tracked platform by platform, as there is often less than 32% overlap between what different AIs cite. A high share of model means the AI considers you the "default choice" or the essential reference in your market.

Discover the other essential KPIs for measuring the impact of your campaigns.

Become the answer, not just a link

  • In 2026, if your brand is not in the AI's synthesized response, it does not exist for your target.
  • B2B influence is the bridge that transforms human authority into machine citability.

Download our new ebook: B2B Influence on LinkedIn in 2026

Want to see this approach applied to brands like yours? Explore our B2B influence case studies.

To bring B2B influence into your next campaign, book a call with Les Années Folles here.

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