The deployment of AI previews by Google in France, effective since July 22, 2026, is reshuffling the cards of online visibility. Companies that relied on good positioning in traditional search results are discovering that part of their traffic now flows through automatically generated answers, above traditional links. This change in display surface alters marketing decisions and prompts a reconsideration of the channels used to capture customer attention.
Visibility in Google’s AI results: a measurable gap with traditional SEO
The arrival of AI Mode in France has created a clear dissociation between two types of visibility. Appearing in Google’s Local Pack no longer guarantees being mentioned in the responses generated by artificial intelligence. An analysis published in 2026 indicates that 28.5% of businesses in the Local Pack were absent from AI Mode for the same query.
This gap means that a company can invest in its local SEO, receive good reviews, appear in the top three geolocalized results, and still remain invisible on the new layer of results. The selection criteria of AI do not exactly overlap with those of traditional organic ranking.
The available data does not yet allow for a definitive list of factors that favor citation by search AI. However, a study on 6.8 million AI citations showed that 86% of them came from sources controlled by the brand, mainly the website and business listings. Forums and third-party content represented only a marginal share.
In practical terms, companies that control their own content (structured site, up-to-date Google Business Profile, detailed FAQ pages) have a measurable advantage. Exploring InExt Com’s marketing services is precisely about structuring this presence on the channels favored by search AI.
Content marketing and SEO in the face of automatic responses
Natural referencing remains a lever for visibility, but its mechanics are evolving. Articles, service pages, and optimized content no longer serve solely to climb a ranking of blue links. They also feed the AI models that synthesize information even before the user clicks.
What search AI prioritizes
Factual content, structured with clear subtitles and direct answers to frequently asked questions, is more likely to be included in AI previews. An article that buries information in generic text will be less usable by the model than a page that poses a question in H2 and answers it in the following paragraph.
Editorial quality becomes a technical as well as a writing criterion. Well-tagged content, with verifiable data and a structure readable by bots, increases the likelihood of being cited. Content strategies that stack articles without added value lose effectiveness.
Frequency and depth rather than volume
Producing three in-depth articles per month on specific issues in your sector generates more trust signals than a dozen superficial texts. AI engines favor sources that demonstrate expertise on a recurring topic.
- Identify the questions your customers are actually asking (via internal search data, business exchanges, online reviews) and answer them in detail.
- Structure each piece of content with semantic tags (H2, H3, lists, tables) to facilitate automatic extraction by AI models.
- Update existing content rather than publishing new material on a topic already covered, as AI favors pages that display recent information.
Social media and digital advertising campaigns: channel complementarity
Organic visibility on search engines covers only part of the customer journey. Social media and Google Ads or Social Ads campaigns serve different objectives, and their interplay often determines the overall profitability of a digital marketing strategy.
Social media builds awareness, SEO captures purchase intent. A prospect discovering a brand on LinkedIn or Instagram does not have the same level of maturity as one who types a specific query into Google. The two channels reinforce each other, provided the same message is not duplicated everywhere.
Advertising platforms allow for accelerated visibility on competitive queries where natural referencing takes time. However, cutting the advertising budget immediately halts the flow of visitors, whereas well-positioned content continues to generate traffic for months.
- Google Ads remains relevant for capturing transactional searches (quotes, purchases, comparisons) with measurable short-term returns.
- Social media campaigns (Meta Ads, LinkedIn Ads) work better for awareness and targeting by interests or professional functions.
- Retargeting combines both logics by re-targeting site visitors on social platforms, increasing conversion rates without multiplying acquisition budgets.
Regulatory compliance and transparency: the framework of the Digital Services Act
Since February 17, 2024, the Digital Services Act imposes transparency obligations on platforms that host reviews, comments, or advertising spaces. Companies using marketplaces, forums, or customer review platforms are directly affected.
This regulation requires documenting moderation practices and making the functioning of advertising recommendation algorithms visible. For a company that collects customer reviews on its site or via third-party platforms, non-compliance with the DSA exposes it to significant financial penalties.
Field feedback varies on the level of preparedness of French SMEs in the face of these obligations. Some have adapted their legal mentions and moderation processes, while others have not yet grasped the changes required. Regulatory compliance is not a marketing lever in itself, but its absence can compromise the credibility of a visibility strategy that relies on social proof.
The multiplication of visibility surfaces (traditional results, AI previews, social media, review platforms) makes marketing decisions more technical than they were two years ago. Companies that treat their website, business listings, and content as strategic assets, rather than mere showcases, position themselves on the channels that algorithms, whether traditional or AI-driven, prioritize.
