How AI reads this page
ChatGPT, Claude, Gemini and Perplexity don't look at colours, images or animations. They receive text, headings, links and structured data. Below is exactly what they read when they open “How search changes when people use AI: a practical comparison between the old and new ways of searching”.
The AI receives 1,375 words in 11 sections, 5 links and 3 blocks of structured data.
Text
The page content in Markdown, without menus or graphics. It is the format closest to how a language model reads text.
# How search changes when people use AI: a practical comparison between the old and new ways of searching > Traditional search vs AI search: direct answers instead of links, longer queries, costs and benefits for businesses, and five actions to take right now. URL: https://geosnap.ai/en/blog/come-cambia-la-ricerca-quando-le-persone-usano-l-ai-confronto-pratico-tra-vecchio-e-nuovo-modo-di-cercare Language: English Version IT: https://geosnap.ai/blog/come-cambia-la-ricerca-quando-le-persone-usano-l-ai-confronto-pratico-tra-vecchio-e-nuovo-modo-di-cercare Author: Rinald Sefa, CMO Geosnap · Category: GEO strategy Publisher: Geosnap (Maind Group S.r.l.), https://geosnap.ai ## In short People who search with a conversational assistant get a direct answer instead of a list of links: questions become longer and more contextual, and the algorithm chooses which brands to cite. For companies, ranking on page one is no longer enough; they need to appear in the answer, complementing traditional SEO with citation monitoring, structured content, and authoritative third-party sources. - Traditional search returns links to explore; AI search gives a concise answer and chooses for the user. - Queries grow from 3-4 to 12-15 words, and users tend not to verify the answer elsewhere. - SEO remains necessary but not sufficient: add citation monitoring, structured data, and third-party sources. Translated from the Italian original. [Read the original](https://geosnap.ai/blog/come-cambia-la-ricerca-quando-le-persone-usano-l-ai-confronto-pratico-tra-vecchio-e-nuovo-modo-di-cercare) The short answer: people who search with a conversational assistant get a direct answer instead of a list of links. This radically changes search behavior, the kind of questions people ask and, above all, which brands get cited and which remain invisible. Understanding how AI is changing search is now a priority for any company that depends on organic traffic. According to data published by [Statista](https://www.statista.com/) in the first quarter of 2026, more than 40% of Italian internet users have used a conversational assistant at least once to look for information, compared with 18% at the start of 2024. The phenomenon is no longer niche: it is a structural change. ## Traditional search vs AI search: the key differences The fundamental difference is that traditional search returns a list of results to explore, while **AI-powered search** provides a concise, contextualized answer. Here is a direct comparison: In practice, in traditional search the user chooses among options. In conversational search, the algorithm chooses for them. This means that being "on page 1" is no longer enough: you have to be in the answer. ## How people search with AI: the new behavior of Italian users Users phrase complete, contextual questions instead of fragmented keywords. Instead of typing "best seafood restaurant Rome", they ask "Where can I eat fresh fish in Rome for about 40 euros per person, in the Trastevere area, open on Mondays?". This change in **search behavior** has three practical consequences: - **Longer, more specific questions**: the average goes from 3-4 words to 12-15 words per query - **Expectation of an immediate answer**: users don't want to browse, they want to know - **Trust in a single source**: people who get an answer from the assistant tend not to verify it elsewhere A 2025 study by the [Reuters Institute](https://reutersinstitute.politics.ox.ac.uk/) found that 62% of European users trust the first answer they receive from a conversational assistant without looking for confirmation. For brands, this means that not being cited is the same as not existing. ## The impact of AI on online search: costs and benefits for businesses The impact of AI on online search translates into a measurable decline in traditional organic traffic and a redistribution of visibility toward those who are cited in generated answers. ## Hidden costs of the transition - **Loss of direct traffic**: sites that provided generic information lose visits because the answer is given directly by the assistant - **Less effective traditional SEO investments**: optimizing for classic SERPs no longer guarantees visibility in conversational answers - **More complex monitoring**: there are no standard tools like Google Search Console to track citations in assistants' answers ## Benefits for those who adapt - **Amplified authority**: being cited as a source in an answer is equivalent to a direct recommendation - **More qualified conversions**: people who arrive after a citation already have context and a positive predisposition - **Lasting competitive advantage**: models tend to consolidate authoritative sources over time Geosnap, an Italian service specializing in monitoring brand visibility in the answers generated by conversational assistants, has analyzed more than 1,500 Italian companies and found that those with an active strategy for optimizing for conversational answers record, on average, 35% more mentions than their direct competitors. ## The future of AI search: what to expect in the next 12-18 months The future of AI search points to a convergence between traditional search engines and conversational assistants, with Google increasingly integrating generated answers directly into its SERPs through its AI Overviews. Three concrete trends for the Italian market in 2026-2027: 1. **Multimodality**: users will search with a combination of images, voice, and text 2. **Extreme personalization**: answers will take individual history and preferences into account 3. **Citation as currency**: brands will have to "earn" citations through structured content, verifiable data, and an established reputation According to the [World Economic Forum](https://www.weforum.org/), by 2027 more than 60% of global informational searches will go through conversational interfaces. For Italian companies, preparing now means not having to play catch-up tomorrow. ## Comparing strategies: traditional SEO vs optimization for AI answers Traditional SEO remains necessary but is not sufficient. Optimizing for conversational answers requires a complementary and distinct approach. Geosnap positions itself in this second area, offering detailed analysis of how a brand appears in the answers of ChatGPT, Gemini, Perplexity, and Claude, with actionable reports that show where to intervene to improve the brand's presence. ## A practical example: an Italian company facing the new landscape Consider an Italian e-commerce business selling organic products. With traditional search, it invested €2,000/month in SEO and achieved first-page rankings for 50 relevant keywords, generating about 15,000 visits a month. As conversational search spread, its organic traffic fell by 20% in 12 months. At the same time, a competitor with less SEO history but more structured content and authoritative citations began appearing systematically in assistants' answers. The solution is not to abandon SEO, but to complement it with: - **Systematic monitoring** of citations in conversational answers - **Optimizing information** on authoritative sources (Wikipedia, industry directories, news outlets) - **Data consistency** across all digital touchpoints Services like those offered by Geosnap make it possible to map exactly where and how the brand is mentioned or ignored, and to define targeted corrective actions. ## How to prepare in practice: immediate actions To adapt to how AI is changing search, any company can start with five concrete actions: - **Check your presence**: ask conversational assistants for information about your brand and analyze the answers - **Structure your content**: use clear data, explicit definitions, and verifiable information - **Strengthen third-party sources**: make sure the information about your brand is correct and up to date on [Wikipedia](https://it.wikipedia.org/), industry directories, and authoritative publications - **Monitor regularly**: assistants' answers change over time, so periodic checks are needed - **Invest in authority**: publications, partnerships, original data, and citable content Geosnap offers exactly this kind of ongoing monitoring, giving Italian companies a clear view of their positioning in generated answers and practical guidance on how to improve it. ## Frequently asked questions ### Will AI-powered search completely replace Google? No, in the short to medium term the two systems will coexist. Google itself is integrating generated answers into its SERPs. Traditional search will remain relevant for transactional and navigational queries, while conversational search will dominate informational queries. ### How do I know if my brand is cited in AI answers? The simplest way is to query conversational assistants directly with questions relevant to your industry. For systematic, ongoing monitoring, there are dedicated services like Geosnap that automatically analyze the brand's presence across multiple platforms. ### How long does it take to improve visibility in conversational answers? The timing depends on how often models are updated and how solid the sources are. On average, structured interventions produce visible results in 2-6 months, but monitoring must be constant because the answers evolve. ### Is optimizing for AI answers expensive? The cost varies with the complexity of the industry and the number of competitors. It does not necessarily mean large additional budgets, but rather reallocating part of your digital investment toward data structuring and citation monitoring. ### Should Italian companies worry about this change? Yes, because the change in search behavior affects every industry. Companies can start with zero-cost actions, such as checking their information on public sources, and then evaluate dedicated monitoring tools as the phenomenon grows.
Structured data
Schema.org data (JSON-LD) embedded in the page code. It tells the AI explicitly what the page is about and who published it.
BreadcrumbList describes the path through the site
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Metadata
The information in the page header, which crawlers and engines read before the content.