Google AI Overviews have arrived in France and immediately change one of the most common gestures on the web: typing a question, scanning results and opening several links. Some searches now show an AI-generated synthesis at the top of the page, with contextual links and the option to continue in a conversational mode.

For many users, this is convenient. Asking for an explanation, comparing two concepts, preparing a purchase or understanding a procedure can become faster. But that ease has a downside: the answer can look complete before you have visited the sources. The risk is not only an error. It is getting used to no longer checking.

What really changes in Google

A classic search engine offers a list of pages. It ranks, displays snippets and lets the user choose. An AI-enhanced engine produces an intermediate answer in a more readable form. That answer can be useful, but it becomes one more filter between you and the web.

Google says AI Overviews appear when its systems determine that a synthesis can help, especially for questions that require several pieces of information. The feature is not presented as something users can fully turn off with a single switch. However, users can still favor classic web results through the Web tab or browser settings.

The key point is simple: AI search should not be treated as an absolute replacement for web search. It is better understood as a first read, sometimes efficient, sometimes insufficient, that still needs verification.

When AI Overviews are useful

They are useful when you need to understand a broad topic before going deeper. If you want to know what a passkey is, why a computer overheats or how two Wi-Fi standards differ, a synthesis can provide the right vocabulary and a first mental structure.

They also help with preparatory searches: listing purchase criteria, identifying the steps in a process, summarizing a technical change or finding the terms you should search next. In those cases, AI saves time because absolute precision is not yet critical.

They become more questionable when the answer affects an important decision: health, money, law, cybersecurity, a complex repair, an expensive purchase or very recent information. In those cases, open the links, compare sources, check dates and look for contradictions.

The simplest method is to click the Web tab in results. This view brings the page closer to classic text links. It is not always highlighted, but it is the habit to rebuild when you want to investigate rather than receive a synthesis.

On desktop, you can also configure a custom search engine that adds the udm=14 parameter to Google search URLs. Several guides explain this method for Chrome, Edge or Firefox. The idea is simple: send the query directly to the Web view instead of the enriched page.

Another option is to use an extension that hides AI blocks. That is convenient if you want to stay on Google without changing your habits. Still, choose a maintained extension, understand the permissions it requests and avoid piling up obscure browser modules.

Finally, alternative search engines remain available. Qwant, Ecosia, Startpage, DuckDuckGo or Brave Search do not all follow the same priorities. Some also include AI features, but they reduce dependence on a single search provider.

Good verification habits

The first habit is to read the date. An AI answer can mix old and recent information if the query is not precise enough. For pricing, legal rules, software features or hardware compatibility, the publication date is essential.

The second is to check the primary source. If the answer mentions an Apple, Google or Microsoft announcement, a CNIL decision or a security vulnerability, look for the press release, official documentation, security bulletin or original report.

The third is to rephrase. The same question asked differently can reveal limitations, nuance or contradictory results. This is especially useful when AI tends to produce an answer that looks too tidy.

The fourth is to distinguish summary from advice. A synthesis can explain the options, but it may not know your context: budget, exact device, country, software version, privacy constraints or risk level.

For publishers and creators

AI Overviews worry publishers because part of the answer appears before the click. That is a real economic issue. It is also an editorial constraint: content needs clearer dates, clearer sourcing, better structure and a more identifiable authorial point of view.

Pages that merely repeat generic information may lose value. Pages that provide expertise, tests, screenshots, numbers, methodology or argued opinions remain useful. The right answer is not to produce more bland text, but to produce pages that users still want to open after reading a synthesis.

The right stance

AI Overviews are neither an automatic disaster nor a magical revolution. They are a new intermediary in web search. For users, the right compromise is to use them as an entry point, then return to links when precision matters.

The web is becoming more assisted, but your attention remains the best protection. Reading faster should not replace checking better.