When you type a query into Google, it finds pages. When you ask an AI a question, it generates an answer. Understanding this difference is strategic: your customers use both. This article shows you how to align GSO (Generative Search Optimization) and SEO (Search Engine Optimization) to be visible on Google and understandable by AI.
When you type a query into Google, it finds pages. When you ask an AI a question, it generates an answer. Understanding this difference is strategic: your customers use both. This article shows you how to align GSO (Generative Search Optimization) and SEO (Search Engine Optimization) to be visible on Google and understandable by AI.
A search engine like Google follows three steps: crawling, indexing, and ranking.
In SEO, your goal is to optimize each page so that it appears and ranks higher for the targeted query.
With LLMs (ChatGPT, Claude, Perplexity), the logic changes: AI composes a customized response.
In GSO, your goal is to help AI model correctly and quote you in your own words.
AI does not “see” your logo or your graphic charter, UI/UX. It mainly ingests plain text and deduces your tone, your topics, your level of authority, and your consistency.
The clearer and more consistent your identity is, the more recognizable and quotable you are by AI.
Your prospects search Google and consult AI (without looking for you).
GSO + SEO = visibility + credibility + conversions.
SEO (being found)
GSO (be cited by AI)
Let’s take an accounting firm in Luxembourg as an example:
Effect: Google finds it again (SEO). AI reuses your wording (GSO).
Google finds pages. AI generates paragraphs. By combining GSO and SEO, you make your brand understandable to AI and visible in Google. The result: more useful visibility and more conversions.
👉 Need a turnkey GSO/SEO plan for your SME in Luxembourg? Intrépide Studio designs your pillar pages, your data schema, and your performance-oriented editorial calendar.
SEO aims to make your pages easier to find and rank higher in Google thanks to relevant content, clean technical implementation, and high-quality links. GEO (Generative Engine Optimization) aims to make your content understandable and quotable by generative engines (LLMs) that produce responses in natural language. The former works at the page and query level, while the latter works at the paragraph, fact, and brand consistency level. Together, SEO and GEO maximize your visibility in traditional search results and AI responses.
Write for clarity: a clear promise in one sentence, straightforward explanations, explicit definitions, and verifiable facts. Use short paragraphs, simple language, and your customers’ actual words to limit ambiguity during generation. Cite your sources when you provide figures, and end each section with a key idea that can be easily incorporated into an AI response. Above all, ensure that this message is consistent across your website, LinkedIn, and Google Business listing.
LLMs rely on well-established brands: a solid About page, identified authors, proof of expertise, and consistent messaging across all channels. They favor content that presents dated facts, quantified customer cases, and authentic opinions expressed in natural language. The use of structured data (schema.org) makes your information more readable by machines, and high-quality external mentions reinforce your credibility. The clearer and more consistent your signals are, the more likely you are to be accurately referenced.
First, observe whether your key phrases reappear in responses from generative tools during regular testing. On your site, track the progress of brand queries, organic clicks to your explanatory pages, and conversions after reading. On your channels, check the contribution of LinkedIn and Google Business Profile to your GEO-ready content. The goal is to see both better recognition of your message by AI and a measurable increase in qualified requests.
Start by standardizing your promise in one sentence and apply it everywhere. At the same time, prepare a series of short questions and answers that cover your customers’ recurring objections and needs, then publish at least one quantified and sourced customer case study. Strengthen your About page and add essential structured schemas to clarify your entity. Finally, obtain a few relevant external mentions and distribute your content on LinkedIn and Google Business Profile to multiply consistent signals.
“Easy-to-quote” formats: short FAQs, lists, definitions, executive summaries, “Key takeaways” boxes. Paragraphs of 3–5 lines, explicit titles, structured data (schema.org).
Publish sourced and dated facts (on the “Facts & Figures” page), quantified customer case studies, and detailed FAQs. Ensure consistency across all channels and add structured data + links to reliable external sources.
Keep the same promise and structure in every language. Use hreflang, a glossary of key terms, and natively translated FAQs. Keep the same evidence and figures to avoid contradictions.
Pages without a clear subject, vague titles, unstructured blocks of text, contradictory messages between the website/LinkedIn/Google listing, lack of quantified reviews, no schema.org, slow mobile speed. Correct these issues before producing more content.
Simple cadence: 1 pillar page/month, 10 up-to-date Q&As per quarter, 1 quantified customer case study/quarter. Distribution on LinkedIn + Google Business Profile. Quarterly review: editorial consistency, structured data, performance.
- Vincent Jeunejean
