More and more people ask questions to ChatGPT, Perplexity, Google AI Overviews and Copilot instead of opening ten Google results. When the AI answers, it only cites a few sources: if your website is not one of them, you simply don’t exist. Optimising a site for AI search is called AEO (Answer Engine Optimization) or GEO (Generative Engine Optimization), and it requires specific technical and editorial choices. Nicelive’s websites are built from the ground up to be read and quoted by AI: automatic JSON-LD schema, llms.txt, First Paragraph Rule, server-side content. The One Page plan starts from €850, the Business plan from €1.800.
What AI search is and why it matters now
Until two years ago, the standard way to look something up online was: type a question into Google, open three results, synthesise the answer yourself. Today it’s more and more common to ask an AI directly: “how much does a website cost for my business?”, “what’s the difference between a digital catalog and an e-commerce?”, “how does a mobile app work for a small studio?”. The AI replies with a synthetic text and cites 2–8 sources it pulled the information from.
This is not a marginal phenomenon. Gartner estimates that organic search traffic to commercial websites will drop by 25% by the end of 2026, precisely because a growing share of queries ends up inside ChatGPT, Perplexity, Gemini and Google AI Overviews. Whoever started monitoring their logs sees “AI referral” traffic growing triple-digit percentages year over year.
The question isn’t “am I first on Google?” anymore, but “when a potential customer asks an AI about me, does that AI cite me as a source or not?”.
Why AI search doesn’t work like Google
Google ranks pages based on hundreds of signals (links, domain authority, clicks, dwell time). AI does something different: it reads the content, extracts facts, checks consistency, decides which sources are clear and accurate enough to be cited. A site can be second on Google and ignored by AI, or not first but systematically cited. These are different games.
The main practical differences:
- Number of sources: Google shows 10 results per page. Perplexity cites 4–8 per answer. ChatGPT cites 2–4. Google AI Overviews shows 2–4.
- How content is read: Google indexes the whole page. AI mostly reads the first paragraph, H2–H3 headings and structured fragments (tables, FAQs, lists).
- Trust: Google evaluates incoming links. AI evaluates coherence between schema, visible content, mentions on other sites and informational completeness.
- Freshness: Google tolerates old content if well-linked. AI penalises content not updated in 12–24 months, with citations dropping to half or less.
How AI decides which sites to cite
Among the factors that weigh most on the probability of being cited in an AI answer, the main ones are:
- Direct answer in the first 50–200 words: the AI looks for a clear, standalone answer to the question, without having to read the whole post.
- Complete and coherent JSON-LD schema: Article, FAQPage, Organization, Service, BreadcrumbList. A Semrush study measured a jump from 16% to 54% in GPT-4’s accuracy when extracting information from pages with proper schema, compared to pages without.
- Server-side rendered content: if the text loads only with JavaScript after the page opens, many AIs don’t see it. It must be present in the initial HTML.
- H2 and H3 headings covering specific questions: “how much does it cost”, “when you need it”, “what it includes”. Not vague headlines.
- Naming consistency: the service called one way in the menu must be called the same way in the H1, the meta tags and the schema. Divergences confuse the model.
- Explicit publish and modified date: content updated in the last 12 months gets roughly 3 times more citations than content older than 24 months.
- Broad authority: brand mentions on other independent sites (trade publications, directories, news) raise the AI’s confidence in citing you.
- Outbound links to authoritative sources: 2–5 external links to institutional or reference sources improve your positioning as a credible source.
The 7 elements of an “AI-ready” site
Translated into practice, these seven points decide whether a site gets read and cited by AI or ignored.
1. First Paragraph Rule
Every page must open with a 2–3 sentence paragraph that answers three questions: what is it, who is it for, how much does it cost. It must be self-contained: an AI that reads only that paragraph should be able to answer a user. This is the element with the most immediate impact.
2. JSON-LD schema for every page type
Every service page should have Service + FAQPage + BreadcrumbList schema. Every blog post should have Article + BreadcrumbList (+ FAQPage if it includes FAQs). The home page should have Organization + WebSite. Schema must be emitted server-side in the HTML, not injected later via JavaScript.
3. llms.txt at the domain root
A plain-text Markdown file published at /llms.txt that helps AI understand the site’s structure: business description, main pages, key resources. It’s not an official Google standard, but AI systems read it willingly. Adoption has grown past 800,000 sites in 2025. It doesn’t guarantee citations, but it’s low-cost and useful.
4. Name and terminology consistency
The service you call “One Page Website” in the menu must be called exactly that in the page’s H1, in the meta title, in the JSON-LD schema and in every other mention. Variations like “single-page site” or “one page web” disorient the model and reduce citation probability.
5. Server-side rendering
Content must be present in the HTML returned by the server, not loaded later via JavaScript. Single-Page Applications that render only client-side are often invisible to AI. If you use WordPress, Ghost, Next.js in SSR mode, Astro or static sites, you’re fine. If you use pure client-side React/Vue, you risk not being read.
6. Performance and mobile
Good Core Web Vitals (LCP under 2.5s, CLS under 0.1, INP under 200ms), responsive site, optimised images. A slow site that takes 8 seconds to load is often discarded by AI crawlers before it’s even read.
7. Freshness and updates
Add datePublished and dateModified to the schema. Revisit your main content every 3–6 months: updating a statistic, a price or an example is enough. Content older than 12 months measurably loses citation weight.
What you DON’T need anymore (or never needed)
Many SEO practices from past years are useless or counter-productive for AI search. A few myths to debunk:
- Keyword stuffing: repeating the same keyword 20 times is harmful. The AI recognises unnatural text and penalises it.
- Meta keywords: Google has ignored them since 2009. AIs don’t consider them either.
- Long content for the sake of being long: a thousand words of filler is worth less than 400 precise words. The AI looks for informational density, not weight.
- Click-bait titles and metas: sensational titles bring clicks on Google but not AI citations, which look for direct answers.
- Aggressive link building: raw backlink volume used to matter on Google 10 years ago. Today, link relevance and brand mentions in quality contexts matter much more.
Our approach
Nicelive’s sites are built applying these principles from the start, as part of the platform. There’s no separate “AEO” package to buy: schema, naming consistency, performance, content updates and multilingual coherence are included in every project.
The effect is that a website, a digital catalog or a custom solution made by us is already ready to be read and cited by AI, without having to retrofit it a year from now when AI search carries even more weight.
Frequently asked questions
How long does it take AI to index new content?
Typically 3–5 business days from when the content is published and signalled via IndexNow or sitemap. Content on domains with already-recognised authority enters sooner; new domains may take 2–3 weeks. There’s no “urgent” system like Google Search Console, but solid technical basics reduce the time.
If I optimise for AI, do I risk hurting classic Google SEO?
No, the opposite. The elements that reward AI (direct answer, schema, consistency, performance, freshness) are the same ones Google has been rewarding for years. AEO is SEO done well with a few added emphases: First Paragraph Rule and llms.txt. There’s no tradeoff.
Should I pay for an “AI ranking” service?
Be wary of guaranteed ranking promises on ChatGPT or Perplexity. Nobody controls the ranking on these platforms: there’s no “Search Console” for AI. What you can do is apply the technical and editorial best practices that increase the probability of being cited. The rest is authority built over time.
Can I block AIs if I don’t want to be used for training?
Yes, via robots.txt. You can block specific bots like GPTBot, ClaudeBot, CCBot, PerplexityBot. Be careful though: blocking them also means not being cited in AI answers. The choice depends on your strategy: if you want AI visibility, let them through; if you protect proprietary content that shouldn’t be quoted, block them.
My site is built on a basic CMS with a standard theme. Can I do something without rebuilding it?
Yes, partially. You can rewrite the opening paragraphs of your main pages following the First Paragraph Rule, add an llms.txt file at the root, and check or correct service names for consistency. JSON-LD schema requires more technical intervention (SEO plugin or custom code). If you’d rather start with a site that’s AI-ready from day one, the One Page website starts from €850.
Do you want a website designed from the start to be read and quoted by ChatGPT, Perplexity and Google AI, without having to retrofit it later? Tell us about your project and we’ll suggest the right solution — from a website to a custom platform.
