Bruno Sanvoisin : l’IA, nouvel allié des relations presse

In Media Relations: AI as Support, Bruno Sanvoisin presents artificial intelligence as a practical aid for communications professionals. Through examples, methods and tools that can be applied in everyday work, he shows how it can speed up certain tasks, enrich thinking and structure practices, while reminding readers that judgment, creativity and verification remain the responsibility of people.

Artificial intelligence is gradually transforming communications professions. For media relations professionals, it opens up possibilities in writing, finding story angles, media monitoring and preparing to engage with journalists. But integrating these tools does not simply mean delegating tasks to them: professionals must know how to guide them and assess their responses.

In his guide Media Relations: AI as Support, Bruno Sanvoisin explores this professional reality. Rather than dwelling on theoretical considerations, he examines work situations familiar to press officers and agencies. His approach aims to help readers move from occasional experimentation to a more organized and considered use of artificial intelligence.

With a foreword by Augustin Garcia, the book advances a central idea: AI can support the work of communications professionals, but it cannot replace their experience or their responsibility. Human expertise gives the tool direction, makes it possible to choose the right angle and ensures the content is relevant before it is shared.

Table des matières

A fast assistant that needs guidance

Set a clear framework for every request

Bruno Sanvoisin encourages readers to think of artificial intelligence as a work assistant, not as an automatic solution to every communications challenge. It can quickly suggest an initial structure, rephrase a text or offer ideas. Its effectiveness, however, depends on the quality of the information and instructions it receives.

An overly general request can lead to standardized responses that may be pleasant to read but are poorly suited to a real situation. To get a usable result, professionals need to specify the context, the objective, the intended audience, the desired tone and the editorial constraints. They must then review, correct and approve the output.

This approach is a reminder that speed does not equal relevance. A press release can be well written without presenting the right subject from the right angle. An interview pitch may lack personality or fail to take account of the relationship already established with a journalist. AI provides a starting point; the professional adapts it to the challenges and realities on the ground.

Evolving professional culture

Adopting these tools goes beyond the simple question of software. It invites teams to rethink how they prepare content, share information and check outputs. This shift in habits is also at the heart of discussions about artificial intelligence at work and professional culture.

In media relations, this reflection may involve how tasks are divided among team members, the stages of approval or how to keep a record of the sources used. The goal is not to add a tool at every stage by default, but to identify the tasks where AI can genuinely make work easier without undermining the quality of relationships with the media.

Practical applications, from writing to media monitoring

Supporting press officers’ day-to-day work

A significant part of the book is devoted to applications directly related to communications work. Bruno Sanvoisin covers writing press releases, preparing opinion pieces, summarizing interviews and practicing media appearances. He also looks at following up with journalists, social media posts, visual content creation and organizing media monitoring.

For these different tasks, the guide shows how to write a prompt for AI and improve an initial response. For example, a request can be used to generate several possible angles, organize the available information or prepare a list of questions. The professional then remains responsible for selecting the appropriate suggestions and enriching them with their knowledge of the client, the sector and the people involved.

The same logic applies to interview preparation. The tool can help gather topics to cover, anticipate questions or structure a practice session. But it may not understand the nuances of a media relationship or the particular sensitivity of a subject. Preparation therefore remains a dialogue between automated suggestions and the communications professional’s experience.

From operational content to strategic recommendations

The guide does not limit the use of AI to producing text. It also covers more strategic tasks: onboarding a new client, preparing recommendations, reporting and crisis management. In these situations, tools can help organize information, produce an initial summary or consider different scenarios.

Human judgment remains crucial, however, for interpreting the results and making coherent decisions based on them. A recommendation is not simply a list of ideas: it must take into account the client’s objectives, resources and environment, as well as the relationships they want to build with the media. AI can contribute to the thinking process, but it cannot assume responsibility for the proposed choices on behalf of the professional.

This transformation in how the tools are used is also taking place in a context of growing investment in artificial intelligence. A European artificial intelligence project awarded to a factory in Maine-et-Loire illustrates the scale of developments in these technologies. For communications professions, the challenge is to understand how these changes affect practices and organizations’ expectations.

Organizational visibility in AI-generated responses

Understanding a new form of digital presence

Conversational assistants are increasingly being used to search for companies, products, services and specialists. Media relations professionals are therefore beginning to consider how their clients appear in responses generated by these systems.

Bruno Sanvoisin approaches this visibility as something to monitor and measure, rather than as a presence that can be guaranteed. This involves checking which sources are used, identifying the information associated with a brand and tracking how it changes over time. This approach extends media monitoring activities: it requires distinguishing verifiable information from what may be incomplete or incorrect.

Media relations remain essential here. The quality of the information made available, the consistency of communications and the credibility of sources all contribute to how an organization is represented. AI tools can help monitor that representation, but analysis and communications decisions remain in the hands of professionals.

A toolkit for building a method

Prompts, checklists and workflows

One of the practical strengths of AI as Support lies in the resources provided throughout the book. It brings together a prompt library, checklists, an overview of tools and examples of workflows involving several solutions. These resources give readers guidance for testing different uses in concrete professional situations.

The examples do more than show what to ask an AI. They also encourage readers to consider how to assess the response: Is the text precise enough? Is the information properly prioritized? Does the tone suit the brand and the recipient? Have the key points been confirmed by reliable sources?

This approach helps teams move from isolated experiments to a repeatable working method. A team can define the stages where AI is useful, the information it can use and the checks required before content is shared. The aim is to save time without turning interactions with the tool into a series of improvised requests.

Exploring more advanced uses

Part of the guide looks at advanced practices, such as personalizing press outreach, automating media monitoring or creating assistants tailored to an agency’s needs. These uses can help structure certain repetitive tasks and better organize information that is useful to teams.

Putting them in place nevertheless requires a clear framework. Automated processes must be monitored, results checked and the information used handled carefully. Automation can make a task easier to carry out, but it does not guarantee that the task is relevant or that the result serves the client’s interests.

Data management is therefore an important consideration for any organization adopting these tools. Debates about the use of artificial intelligence and data exploitation, including the controversy involving American companies and Chinese data, are a reminder that technology choices can raise issues of privacy and governance.

Verifying information and protecting sensitive content

Fluent writing does not guarantee accuracy

AI-generated content can seem convincing while still containing errors. Inaccurate figures, fabricated quotes or statements attributed to the wrong person can slip into a well-written text. In media relations, where the accuracy of statements affects an organization’s credibility, such errors can quickly undermine journalists’ trust.

The guide therefore stresses the need to verify facts before anything is shared. Original sources must be found, data checked and quotes confirmed as statements that were actually made or approved. AI-generated wording must not be presented as a real statement without confirmation from the person concerned.

Confidentiality requires the same level of care. Before providing professional information to a service, it is essential to check the terms of use, data processing arrangements and applicable permissions. Sensitive content or confidential information should not be entered into a tool without first assessing the risk.

Maintaining human responsibility in a crisis

Crisis management makes the distinction between technical assistance and professional responsibility especially clear. AI can help prepare an initial press release outline, organize questions journalists might ask or structure key messages. It can help prepare the thinking, but it cannot decide on its own what position to take.

Decisions about when to speak, what tone to use in a response and what commitments to make depend on information, responsibilities and consequences that the tool cannot assess independently. These decisions require an understanding of the situation and human judgment about what is at stake.

Caution around the use of AI is also the subject of public discussion, as this interview on the need to take a considered approach highlights. For communications professionals, this vigilance applies both to the choice of tools and to checking their output and protecting the information entrusted to them.

A practical guide to support the evolution of the profession

Bruno Sanvoisin’s book is primarily aimed at press officers and communications agencies, while also offering useful ideas to marketing managers, freelancers, small-business owners and content creators. All can find examples to help them better structure their requests and integrate AI tools into their work.

This is not a technical book about how models work internally, nor does it promise immediate results. Instead, it is a professional manual focused on uses and methods. Readers looking for an in-depth theoretical discussion of artificial intelligence will find less here than those seeking guidance they can apply directly in their work.

The guide’s strength lies in its balance between the possibilities offered by the tools and the precautions needed when using them. The prompts and examples can save time at certain stages, while the reminders about fact-checking, confidentiality and responsibility help preserve the quality of the work.

Through the uses it proposes, Bruno Sanvoisin highlights an evolution in working practices rather than a replacement of skills. Artificial intelligence can make preparation, formatting and organizing work easier. Choosing subjects, knowing journalists, maintaining client relationships and assessing situations remain essential parts of the profession.