In 2026, generative AI will become part of the daily lives of B2B marketing teams. Its use is massive, transversal, and no longer has anything different.
What was innovation yesterday has become convenience.
But the most profound transformation is elsewhere: AI is gradually becoming a new media of access to information and a new prescription channel.
B2B decision-makers use systems like ChatGPT, Claude or Gemini, capable of synthesizing, comparing and structuring the available knowledge. In these interactions, it is not the content that emerges, but the sources that feed it.
From then on, the challenge for brands changes in nature. It is no longer a question of being visible, but of being integrated into the corpus that these systems mobilize to produce their responses.
Influence becomes an entry condition
For more than ten years, B2B marketing strategies have been structured around visibility: audience, engagement, presence in conversations, amplification via networks and influencers. These levers remain necessary. They allow a brand to exist, to be identified and to disseminate its messages. But they are no longer enough.
In an environment where access to information increasingly passes through synthesis systems, being seen no longer guarantees being remembered. Being present no longer guarantees being recommended.
Influence thus becomes an entry condition, useful but insufficient, for the benefit of a more structuring issue: authority.
Authority: being a source, not just a transmitter
In a world where conversational interfaces filter and organize information, brands aren’t just competing for attention. They are there to be considered reliable sources.
Authority is not based on isolated content, but on the ability to produce recognized, structured and reusable knowledge. It is based on three key dimensions.
- The production of proprietary knowledge
- Original data, studies, concrete feedback. These are the elements that allow a brand to differentiate itself in an environment where synthesis is largely automated.
- Embodiment and traceability
- Content that clearly identifies its authors, experts, practitioners or leaders reinforces credibility. The human becomes a signal of trust.
- Consistency over time
- Authority is built over time. It is based on the consistency of a speech, the quality of publications and their updating. What the systems remember is not specific content, but a global footprint.
New standards emerge
Some companies have started this shift. Publishers of technological solutions like Sage or HubSpot, consulting players from EY to Accenture have long invested in high-value content: reports, analyses, expert ecosystems. Today, these approaches take on a new dimension. They no longer serve only to generate demand, but to structure a lasting informational presence. More recently, many technology companies have strengthened their systems around “first-party” content, speaking engagements from internal experts and in-depth formats. These strategies build actionable credibility in AI-driven environments.
Be readable by AI
A key development now involves making expertise not only accessible to humans, but also interpretable by AI systems. This field, sometimes referred to as “Generative Engine Optimization” (GEO), remains emerging. Its methods are not yet stabilized, but certain practices are gradually becoming established: clearly structuring information, explaining sources and data, producing reference content, maintaining editorial consistency. The objective is not to produce for the machines, but to ensure that its expertise can be understood, selected and reproduced correctly.
In this context, several priorities are emerging. Build sustainable information assets, based on research, data and proprietary analysis. Highlight experts through embodied content, long formats and direct interactions. Articulate visibility and credibility by using influence levers to disseminate truly differentiating content. Evolve indicators beyond reach, by integrating measures of credibility, impact on decision-making and presence in AI environments.
From presence to reference
Generative AI does not replace the fundamentals of B2B marketing. It reconfigures them around a stronger requirement: producing knowledge that is sufficiently solid to be taken up, synthesized and recommended.
In this new environment, the brands that emerge will not only be those that speak loudest, but those that AI systems will implicitly consider authoritative.
