No. LLMs are currently the most visible part of the problem, but not the only one.
When we speak of AI governance and machine reading, we are speaking more broadly about how different systems read, discover, link, rephrase or exploit a digital presence. This can include:
- search engines;
- generative systems;
- assistants;
- recommendation tools;
- agents or discovery layers;
- internal systems that reuse public content or data.
Reducing governance to LLMs alone would be a mistake, because the real problem concerns the coherence of surfaces, signals and reading rules. A site can produce poor answers in an assistant because the structure is weak, but also because the corpus is vague, the entities are unstable or the artefacts of the governance layer are missing.
The right angle is therefore not: “How do we make the site readable for several systems?” The right angle is: “How do we make our digital presence more readable, more stable and more controlled for every machine reader that matters?”