Between the deployment of Google’s AI Overviews in France, the opening of ChatGPT Ads to advertisers, and the tightening of the European regulatory framework on AI, the digital landscape for the start of the 2026 school year is reshuffling the cards for companies betting on their online visibility. What concrete gaps do these changes create between old practices and the new requirements of the web?
AI Overviews, ChatGPT Ads, and traditional SEO: what changes in the numbers
Since July 22, 2026, Google has been displaying AI Overviews in France, synthetic answers generated by AI directly in search results. The traditional blue link model is losing ground to these boxes that aggregate multiple sources into a single block.
At the same time, OpenAI opened its self-service Ads Manager on September 1, 2026 for eligible French advertisers. An advertising channel fully integrated into a generative AI interface, which did not exist a year ago.
| Channel | Visibility Model | Recent Change |
|---|---|---|
| Traditional SEO (blue links) | Keyword positioning, featured snippets | Reduced visibility due to AI Overviews |
| Google AI Overviews | Synthetic multi-source answer | Deployed in France since July 2026 |
| Google Ads | Bidding on queries, text ads | Coexistence with AI results |
| ChatGPT Ads | Advertising in a conversational interface | Ads Manager opened in France since September 2026 |
The table highlights a structural gap: companies that concentrated their budget on SEO and Google Ads now face two new formats that they do not yet master. Digital marketing is becoming, according to several industry players, less platform-centric and more focused on interpreting consumer intent.
Resources like infos-net.com allow tracking these developments in real-time, helping SMEs adjust their digital strategy without waiting for quarterly reports.
European AI Regulation: concrete obligations for online businesses
The legal framework is tightening at a pace that many SMEs underestimate. The European AI Act now imposes obligations graded according to the risk level of the AI systems used. Meanwhile, the Digital Services Act (DSA) has classified ChatGPT, Reddit, and Roblox among the very large platforms subject to its strictest digital security rules, a decision confirmed at the end of August 2026.
For a company using an AI chatbot on its site or relying on marketing automation tools, the consequences are direct:
- High-risk AI systems must undergo documented compliance assessments before being put into service, with regular monitoring.
- The Digital Omnibus simplifies certain procedures of the AI Act for SMEs, but does not exempt them from transparency obligations towards users.
- Platforms designated by the DSA must publish reports on systemic risks, which alters the terms of use for advertising tools hosted on these platforms.
In contrast, companies that only use low-risk tools (anti-spam filters, basic recommendation systems) remain subject to lighter transparency obligations. The gap between these two levels of requirement creates a competitive advantage for those who map their AI usages early.
Post-AI Overviews content strategy: produce for intent, not for keywords
Web content production has relied for years on a simple scheme: identify a keyword, write an optimized article, achieve positioning. This model is not disappearing, but it is losing effectiveness as a Google synthetic answer captures attention before the user even clicks on a link.
Industry data shows that semantic linking and performance measurement need to be rethought beyond simple ranking on a query. An article that answers a short factual question will be more easily absorbed by AI Overviews than content that develops a comparative analysis or sectoral feedback.
Three avenues emerge to adapt the strategy:
- Favor long-form content with high added value (analyses, case studies, quantitative comparisons) that AI Overviews cannot summarize in three lines without losing information.
- Structure site data to feed rich results (structured data, marked FAQs) while retaining differentiating elements in the body of the text.
- Measure performance beyond organic traffic: conversion rates, time spent on page, direct interactions, to assess the quality of the remaining traffic.
Digital advertising in 2026: growth driven by the web and new formats
The French digital advertising market continues to progress in the first half of 2026, confirming the ongoing transfer of budgets to digital. However, the internal distribution is evolving.
Conversational formats (ChatGPT Ads, integrations in voice assistants) are capturing a still modest but rapidly expanding share. In contrast, traditional display formats are stagnating, challenged by AI boxes that occupy an increasing portion of the visible space in search results.
For SMEs, the challenge is not to shift all their budget to these new channels, but to identify which ones correspond to their clientele. A B2B company whose clients seek detailed technical information does not have the same interest in investing in ChatGPT Ads as an e-commerce retailer targeting impulse purchases.
The digital transformation of companies now requires a fine reading of these gaps between channels. Data and artificial intelligence tools do not replace strategy, but they modify its granularity. Those who document their usages, measure their results by channel, and adapt to the new regulatory and technological rules gain a head start that latecomers will struggle to catch up with.
