Typing a question into a search engine and landing on a page that doesn’t answer it, then another, and yet another: the situation is familiar. The problem rarely stems from a lack of information online. It comes from the way we search. Quickly finding answers to your questions online relies on a few concrete reflexes, adapted to the tools that exist today.
AI Summaries in Google: Read What Appears Before Clicking
Since July 2026, Google has displayed AI previews at the top of the page in France. An automatically generated summary answers the posed question, even before the list of classic links.
According to a Similarweb study cited by Les Échos, the share of searches displaying an AI response rose from about 15% to 43% in one year in the United States. On the user side, an analysis by Growth Memo estimates that about 75% of sessions end in AI mode, without visiting an external site.
In practical terms, this means that for many factual questions (definition, date, conversion, administrative procedure), the answer appears directly in the summary. Before clicking on a link, read this block. If the answer is sufficient, there’s no need to go further.
When the AI summary seems incomplete or too vague, check the sources cited at the bottom of the block. These are the pages that the algorithm deemed reliable. Consulting them first saves time compared to a random browsing of results.
Formulate a Precise Query to Get a Useful Answer
The quality of an answer directly depends on how the question is phrased. A vague query produces vague results. A search engine, whether classic or conversational, works better with specific terms.
Platforms like chercher.org allow you to refine a search by aggregating multiple sources. This type of service helps when a classic query on Google returns too many off-topic results.
Have you ever noticed the difference between typing “car problem” and “noise clunking left front suspension Peugeot 308”? The second query almost always leads to a forum or a technical article that describes the symptom exactly. The first drowns the reader in general pages.
Here are a few reflexes that change the precision of results:
- Add the type of expected answer in the query: “comparison table,” “steps,” “legal text,” “user review.” The engine tailors its results based on these indicators.
- Use quotes around an exact phrase. For example, “withdrawal period online purchase” returns pages that contain this phrase exactly, not pages about delivery times.
- Exclude a distracting term with the minus sign. If you search for “jaguar -car,” you get results about the animal, not the car manufacturer.
Conversational AI or Classic Engine: Choose Based on the Type of Question
Conversational AI tools (ChatGPT, Gemini, Copilot, Perplexity) do not replace a classic search engine. They complement it, but each has a different playing field.
A classic engine excels at finding a specific page: customer service, an administrative form, a product in an online store. Conversational AI excels at synthesizing a complex topic. If you’re wondering how a mobility lease works or what the differences are between two tax regimes, a chatbot produces a structured summary in seconds.
A common pitfall: treating conversational AI as a verified encyclopedia. These tools generate plausible text, not necessarily accurate. For any numerical data (amount, deadline, regulatory threshold), always cross-check with an official source. A government site or a legal text published on Légifrance remains the reference.
When to Prefer a Chatbot
Open-ended questions work well: “explain the difference between SCI and SARL,” “summarize the landlord’s obligations for furnished housing.” The chatbot structures a response that would have required reading several web pages.
When to Stick with a Classic Engine
Transactional searches (buying, booking, contacting) or searches for specific pages (a news article, an online service) remain more effective via Google or a specialized engine. The chatbot cannot connect you to customer service or finalize an order.
Check the Reliability of an Online Answer
Finding an answer quickly is pointless if that answer is wrong. Speed without verification produces personal misinformation. A figure taken from an unsourced blog, an outdated date, an approximate legal advice: mistakes can sometimes be costly.
Three quick checks are usually sufficient:
- Identify the author or organization. A page without an author mention, without “about” information, and without a date of update is suspicious. Content published by an institution, a recognized media outlet, or an identifiable professional carries more weight.
- Cross-check with a second independent source. If two sites with no link between them provide the same information, reliability increases significantly.
- Check the date. An article from 2019 on tax regulation is likely to be outdated. Google’s AI summaries do not always specify the age of the sources used.
When the question concerns a technical field (health, law, finance), prefer institutional sites: service-public.fr, ameli.fr, the websites of professional orders. These pages are updated according to legal obligations, not according to an editorial calendar.
Search habits are evolving rapidly. AI previews, chatbots, and specialized engines multiply the paths to an answer. The most cost-effective reflex remains the simplest: precisely formulate what you are looking for, choose the tool suited to the type of question, and verify before trusting.