Guides sur la recherche IA
La recherche IA transforme la façon dont les internautes découvrent et évaluent les marques. Ces 21 guides expliquent comment les réponses se forment, comment mesurer la performance, quelles sources influencent les résultats et comment bâtir une stratégie d’intelligence de la recherche IA.
L'answer engine optimization, expliquéeCe qu'est l'AEO, en quoi elle diffère du SEO, et les trois types de travail qui font réellement bouger la recommandation d'une marque par un assistant IA.AEO et SEOOù l'answer engine optimization recoupe le SEO, où elle en diffère réellement, et quels travaux existants se reportent sans changement.How to get recommended by ChatGPTWhat decides whether ChatGPT names your brand, which crawlers to allow, and the work that moves it — in the order worth doing.How to get cited by PerplexityPerplexity cites almost everything it says and favours fresh sources, which makes it the most transparent engine to optimise for.llms.txt, explainedWhat llms.txt is, what belongs in it, how it differs from robots.txt, and an honest account of what it does and does not do today.AI crawlers, explainedEvery major AI crawler, what each one actually does, and how to decide which to allow without accidentally removing yourself from answers.How AI Overviews choose what to citeWhat decides which pages appear in a Google AI Overview, how it relates to ordinary ranking, and what to do about it.When AI gets your brand wrongWhy assistants repeat outdated claims about your company, and the practical sequence for getting the current fact to stick.How to get cited by AICitations are earned on sources, not on your own site. How to find the ones that decide your category and get onto them.Content that gets quotedRetrieval selects passages, not documents. How to structure a page so an assistant can lift a complete answer from it.Structured data for AI searchWhich schema types earn their place, what they actually do for AI answers, and the one rule that keeps you out of trouble.Measuring AI share of voiceWhat share of voice means in AI answers, how to calculate it honestly, and why the denominator is the part most people get wrong.Running an AI visibility auditA first pass at finding out what AI assistants say about your brand: what to check, in what order, and what the results mean.Building an AEO strategyHow to sequence answer engine optimization work so the fast wins come first and the slow compounding work starts early.Reporting AI visibility upwardWhich numbers survive scrutiny in a board pack, which ones invite the wrong argument, and how to show progress honestly.How assistants decide which brands to nameRetrieval, embeddings, reranking and the context window — the mechanism behind an AI answer, and what each stage means for your brand.Building a prompt setHow many questions to track, where they come from, how to group them by buying stage, and the mistakes that make a set useless.Monitoring your brand in AI answersBeyond whether you are named: the tone engines use, the qualifiers they attach, the traits they rate you on, and the aliases you must track.Technical foundations for AI searchCanonicals, hreflang, sitemaps and author signals — the unglamorous work that decides whether an assistant can use your pages at all.Local AEOAssistants answer differently by country, language and city. How to measure and improve visibility per market instead of as one average.Running AEO across multiple brandsHow agencies scope, measure and report answer engine optimization for several clients without the work collapsing into one blurred report.
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