The role of Digital Manager has changed in scope in just a few months. French job offers referenced by APEC now mention skills in generative AI and marketing automation, whereas these requirements were almost absent before 2022. Google’s AI Overviews are absorbing an increasing share of responses to informational queries, which redistributes the cards of online visibility.
In this context, understanding what the role of Digital Manager entails and the levers it activates becomes a prerequisite for any company that wants to structure its online presence.
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Digital Manager and Generative AI: An Evolving Job Scope
Until 2022, a Digital Manager primarily coordinated natural referencing, social media, and paid advertising campaigns. Supervision was limited to classic analytical tools and the production of editorial content.
Since 2023, several job studies show that supervision of generative AI is an integral part of the role: tool selection, governance of prompts, quality control of content produced by language models. This shift also changes recruitment criteria. Companies are looking for profiles capable of managing semi-automated production flows while maintaining editorial coherence.
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To find information on Digital Manager and identify the expected skills, it is necessary to go beyond fixed job descriptions and observe how tasks evolve with technological updates.
This transformation raises a concrete question for SME leaders: should they recruit a hybrid profile (marketing + technical) or train an existing marketing manager in AI tools? Field feedback varies on this point, and the answer largely depends on the industry and the volume of content to be produced.
Impact of Google’s AI Overviews on Content Strategy
The arrival of AI-enhanced search results in the Google interface changes the game for anyone looking to boost their online presence. Several SEO analyses published between 2024 and 2025 by Search Engine Journal, Sistrix, and Semrush converge: organic traffic is declining on informational queries because Google provides the answer directly in its AI boxes.
In practical terms, an article that answered a simple question (“what is a Digital Manager?”) generates fewer clicks than before. The answer appears in the AI Overview, and the user no longer visits the source page.
Formats That Resist This Erosion
The same analyses recommend redirecting the strategy towards content that AI cannot summarize in three lines:
- Deep expertise content, with proprietary data or detailed feedback, retains its ability to attract qualified traffic
- Community formats (newsletters, private groups, online events) create an acquisition channel independent of Google’s algorithm
- Transactional queries (“digital audit quote”, “SEO support rate”) remain less affected by AI Overviews than purely informational queries
A Digital Manager who drives the content strategy must integrate this reality. Producing generic content on topics already covered by Google’s AI amounts to investing in a declining return channel.
Online Reputation and Local SEO: Two Underestimated Angles
Most guides on digital communication treat SEO and social media as separate channels. In practice, online reputation and local SEO interact directly.
Google Business Profile remains a major visibility lever for geographically anchored businesses. Customer reviews play a measurable role: their volume and average rating influence positioning in the local pack. A Digital Manager who neglects review management loses an acquisition channel that is often more profitable than paid advertising.
What Reviews Reveal Beyond the Rating
Negative reviews are not just a reputation problem. They provide a source of information on the real friction points in the customer journey. Analyzing recurring themes in reviews allows for identifying operational issues that analytics data do not always capture: response times, clarity of offers, quality of support.
However, the available data do not allow for precisely quantifying the weight of reviews in Google’s local algorithm. The correlations observed by SEO studies suggest a strong link, but Google has never published an official weighting.
Choosing Digital Management Tools Without Getting Distracted
A common pitfall is stacking tools: an analytical dashboard, a social media planner, an emailing tool, a project management platform, an SEO reporting software. The result is often data fragmentation and disproportionate management time.
The question to ask before adopting a new tool is not “what does it do?” but “what decision will I make because of it?”. If the answer remains vague, the tool will add noise without improving results.
- A position tracking tool is only valuable if someone analyzes the variations and adjusts the content strategy accordingly
- A social media publication planner does not compensate for the absence of a coherent editorial line
- A CRM generates value only if it is regularly updated and used to segment customers
The role of the Digital Manager is precisely to make this distinction and maintain a restricted but fully utilized ecosystem of tools. The temptation of technological stacking affects both large companies and independents.
The landscape of digital marketing continues to transform at a pace that makes fixed guides quickly obsolete. Rather than seeking a universal method, the priority remains to understand the ongoing mechanisms (generative AI, evolution of SERPs, weight of local reputation) and to articulate them around specific business objectives. It is this capacity for arbitration, more than mastery of a particular tool, that distinguishes an effective online presence from a mere accumulation of channels.