When AI Reinvents Knowledge Work
"Vibe Coding" was the buzzword of 2024: developers who, instead of writing line by line, communicate their intentions to AI agents — and then the right thing happens. In 2026, we're experiencing how this principle extends to all knowledge work. Anthropic has coined a new term for it: Vibe Working.
Preparing reports, delegating research tasks, analyzing financial data, structuring documents — more and more of these tasks are no longer performed manually but coordinated by AI agents. The human sets the direction. AI delivers the result.
📊 Data point: According to Anthropic's own Economic Index Report (January 2026), 49 percent of all measured jobs are already supported by Claude for part of their tasks.
What This Means for the Competitive Landscape
When AI agents take over a growing share of research work, it changes a fundamental dynamic: Who appears in these research results determines perception — and ultimately purchasing decisions.
Imagine: An executive delegates their market research to Opus 4.6. They ask: "Which agencies in Germany are leading in AI-driven marketing?" The model searches available sources, synthesizes an answer — and names the three or four providers it evaluates as relevant from its training and retrieval corpus.
This is no longer SEO. This is no longer traditional content marketing. This is the new battleground for visibility: LLM citation capability.
The Direct Connection Between Vibe Working and GEO
The more decisions are prepared through AI-driven research, the more important Generative Engine Optimization becomes. GEO is no longer just an SEO upgrade — it becomes the prerequisite for being visible at all in the AI-driven decision environment.
The following content types are most frequently cited by LLMs according to current studies:
- Structured explanations with concrete data and clear source citations
- FAQ pages and how-to guides with self-explanatory sections
- Industry reports and benchmark-based content
- LinkedIn posts and Reddit discussions with high engagement
- Presence on review platforms like G2, Trustpilot, or Clutch
What You Can Do Now
1. Optimize Content for Agent Research
Write content so that every section is understandable on its own. LLM agents extract passages without prior context — your message needs to work in 3 sentences, not just in the overall context of the article.
2. Make Your Expertise Citable
Create content that sets benchmarks: industry studies (even small ones), original data analyses, clear opinion positions. LLMs cite "original sources" — content that delivers information first and clearly evidenced.
3. Platform Diversification Now
Reddit, LinkedIn, YouTube, and trade media are the top sources that LLMs currently cite. If your company isn't present on these platforms, you simply have no anchor points in the AI-driven research ecosystem.
4. Introduce GEO Tracking
Start measuring your brand presence in AI answers — with tools like Semrush AIO, PromptScan, or Otterly.ai. Only what is measured can be improved.
Vibe Working is not hype. For everyone who takes content strategy and GEO seriously now, it's the biggest visibility opportunity in years. Request beta access to PromptScan.